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Jun 2026 DOI 10.14302/issn.2474-7785.jarh-26-6358
Marks RayCorresponding author
Hip fractures, which remain an immense public health concern, have been subject to study and prevention efforts for many decades, but with limited success in averting either incident, second or subsequent hip fractures, commonly attributed to a combination of age related proclivity to fall, low bone and muscle mass. This review examines second hip fracture incidence rates and determinants of this serious functionally debilitating injury as observed over time remains a current 2026 public health concern. It specifically explores if more preventive efforts are currently warranted in this regard, and in what respect, if indeed, more frail older adults are living longer, but may be in excessively poor health, fearful of moving or falling, malnourished, weak with poor balance, or depressed. Based on what is published, it is concluded 1) second hip fracture incidence rates remain considerable, especially among those who are frail with osteoporotic bone disease, poor vision, heart/or cognitive conditions, plus those with muscle deficits of the lower limb, live alone and have a falls history; 2) studies to identify possible mitigation approaches appear promising in this regard, along with more routine efforts to minimize falls risk and bone attrition.
Dec 2025 DOI 10.14302/issn.2641-4538.jphi-25-5886
Y. Talbert PatriciaCorresponding author
Objective Diabetes poses significant public health challenges, with many individuals remaining undiagnosed and at risk of complications. This study aimed to evaluate the performance of decision tree ensemble methods for predicting diabetes onset using the Framingham Heart Study Teaching Dataset and to explore sex-specific risk patterns relevant to AI-driven interventions. Methods We analyzed data from 11,627 participants, incorporating demographics, vital signs, smoking status, medication use, and laboratory measures. Random Forest classifiers were developed to predict diabetes incidence at approximately 6-year (Period 2) and 12-year (Period 3) follow-ups. Class imbalance was addressed using undersampling, oversampling, and the Synthetic Minority Over-sampling Technique (SMOTE). Results The models demonstrated robust performance, achieving an Area Under the Curve (AUC) of 0.856 in Period 2, and moderate predictive ability in Period 3 (AUC = 0.732 in males, 0.786 in females). Key predictors included glucose level, BMI, systolic blood pressure, age, and heart rate. Notably, differences emerged in predictive accuracy between men and women, suggesting potential sex-specific vulnerabilities that merit further study. Conclusion Machine learning approaches, particularly Random Forests, show promise for medium- and long-term diabetes risk prediction, supporting early identification and intervention efforts. Future work should focus on hyperparameter tuning and explainability techniques, such as SHapley Additive exPlanations (SHAP) values, to improve model precision, interpretability, and fairness. Equity-focused strategies remain critical to ensure AI-driven tools benefit diverse populations and do not exacerbate existing disparities in diabetes care.
Oct 2023 DOI 10.14302/issn.2768-0207.jbr-23-4753
Isea RaúlCorresponding author
The rapid growth of data and scientific journals has led to the promotion of data-based hypotheses. Data-driven hypotheses can also be used to establish new scientific laws or confirm existing ones, demonstrating the foundation of this philosophy. To introduce this idea, this article presents a Python-based computational algorithm that can generate system dynamics equations without using working hypotheses.
Jun 2023 DOI 10.14302/issn.2692-1537.ijcv-23-4586
Isea RaúlCorresponding author
The goal is to do a text mining analysis of all scientific publications and find out what journal and what aspects are studying about the conspiracy theories of Covid-19. For this purpose, all publications available in the National Center for Biotechnology Information (NCBI) database were consulted as they were peer-reviewed papers. Of all these papers, only the abstracts of each one were studied using artificial intelligence techniques to determine, for example, whether the subject is of importance depending on the journals where it has been published, and above all, what possible relationships could be extracted from the information published in them. In addition, the "Net Prevalence per Covid19" index was definedin those countries with a high value, greater campaigns should be sponsored to avoid the misinformation generated by Covid-19, although this comment should be verified in future publications. The main challenge was to unify the abstracts and for this purpose, a text summarizer was used under artificial intelligence schemes. The results obtained indicate the tendency of certain topics by the frequency of the words obtained where the focus on the conspiration are the Covid-19 vaccines, but further work is still needed to continue working on this methodology to unify the results.
Apr 2023 DOI 10.14302/issn.2644-1101.jhp-23-4549
Mary Anne DeVivioCorresponding author
This article argues that collecting school data on bullying and harassment must be paired with transparent analysis and targeted interventions. It outlines governance, feedback loops, and practical steps to translate data into safer environments.
Mar 2023 DOI 10.14302/issn.2768-0207.jbr-23-4478
FAKIR YoussefCorresponding author
Spatial data mining (SDM) is searching important relationships and characteristics that can clearly exist in spatial databases. This content aims to compare object clustering algorithms for spatial data mining, before identifying the most efficient algorithm. To this end, this paper compare k-means, Partionning Around Medoids (PAM) and Clustering Large Applications based on RANdomized Search (CLARANS) algorithms based on computing time. Experimental results indicate that, CLARANS is very efficient and effective.
Sep 2022 DOI 10.14302/issn.2641-4538.jphi-22-4280
Rutayisire ErigeneCorresponding author
Department of public Health, Mount Kenya University Rwanda Kigali Rwanda
The study evaluated the users' opinions on data quality and related characteristics in ten public-health institutions of Nyarugenge district. A study used a cross-sectional design, data was collected through quantitative (n=150) methodology while qualitative data was obtained using interviews (n=20) and focus group talks (n=3). A checklist was utilized to examine the completeness, accuracy, and timeliness of data quality aspects. Collected quantitative data was analyzed through logistic regression by SPSS to examine the association of variables, while qualitative data was analyzed using the summative content analysis (SCA) to summarize the key themes. A 95 percent confidence level, Odds Ratio (AOR) were used to establish the strength of correlation among study variables, while a p-value of less than (p<0.05) was utilized to identify the variables which were statistically significant associated to HMIS data quality. The study finding showed that the majority (53.0%) was female while, 33 years was an average age, the majority of health practitioner (52.7%) had an A1 diploma. Approximately 90.6% of respondents have a positive perceptions on the system usage. Limited ability and a lack of relevant technology equipment such as computers and the internet have been cited as the challenges while using the system. Factors such as training AOR:2.62(95% CI:1.45, supervision AOR:1.81(95% CI:1.02, AOR:2.50(95% CI:0.85 for education background, works-experience AOR:1.60(95% CI:090 are factors associated with data quality. Maintaining, supportive supervision, regular training and refresher courses should be regularly offered to public health professionals to improve their knowledge in order to maximize the use of health information.
Jan 2022 DOI 10.14302/issn.2768-0207.jbr-21-4048
Donald L. BureshCorresponding author
The purpose of this essay is to discuss the advantages and disadvantages and the benefits and costs of Big Data. The paper outlines the relevant federal and state privacy laws, including the California Consumer Privacy Act as amended, the Virginia Consumer Data Protection Act, and the Colorado Privacy Act. While highlighting several Federal Trade Commission privacy violation cases, the effects of Big Data collection and government surveillance are described in some detail. Advertising and marketing are defined, where it is argued that while the scanning of emails by email providers may be legal, it should be accomplished with consent, or not at all. The essentials of contract law and specific contract negotiation techniques are outlined for the benefit of attorneys. Finally, it is argued that although Big Data is the wave of the future, like all human institutions, it has in its definition the inherent paradoxes of transparency, identity, power, and exclusion that may potentially spell its undoing.
Nov 2021 DOI 10.14302/issn.2691-8862.jvat-21-3991
Isea RaúlCorresponding author
Fundación Instituto de Estudios Avanzados, Hoyo de la Puerta, Baruta, Venezuela.
The objective of this paper is to apply datadriven discovery of dynamics modeling to obtain a system of differential equations that allows us to describe the transmission dynamics of Covid-19, based on the number of confirmed cases and deaths reported daily. This methodology was applied in four different countries: Brazil, Colombia, Venezuela, and the United States. The main advantage is that only one differential equation is needed to characterize the dynamic of Covid-19 without any mathematical assumption.
Aug 2021 DOI 10.14302/issn.2692-1537.ijcv-21-3918
Isea RaúlCorresponding author
Fundación Instituto de Estudios Avanzados, Hoyo de la Puerta, Baruta, Venezuela.
Mathematical and computational studies of Covid-19 have underestimated the influence that other countries have on their daily records. To visualize this, a Granger causality analysis was implemented in Python to determine if the cases registered in Brazil, Chile, Colombia, Ecuador, Panama, Paraguay, Peru and the USA have any effect on Venezuela, and between all of them. Finally, this paper highlights the need to incorporate causality analysis employing only the cases of Covid-19 to improve mid and long term forecasts.
Jun 2021 DOI 10.14302/issn.2766-8681.jcsr-21-3796
Raj StanleyCorresponding author
Department of Physics, Loyola College, Chennai, Tamil Nadu-India
Geoelectrical resistivity data collected from the ground contain lot of noises and errors. It requires efficient algorithm to reduce the errors to make an actual inversion models. Though different algorithm can be applied, nature inspired algorithm is more potential in inverting geoelectrical data in an elegant and comprehensive way. Bargain Optimization (BO) algorithm is framed on the concept of bargaining things to purchase for needs. In general, effective bargaining results in more profit and leads to loss when it fails. In this research work, Bargain Optimization algorithm is applied to invert geoelectrical data and the effective bargaining will take time to process and to obtain the required model. The input data is AB/2, apparent resistivity data and the inverted model through BO algorithm is successfully matched with the available litholog section of the study area. The output graphs have profit/loss bar graph, which reveals the status of bargaining during a particular number of epochs.
Jan 2021 DOI 10.14302/issn.2692-1537.ijcv-20-3383
Zhao BinCorresponding author
School of Science, Hubei University of Technology, Wuhan, Hubei, China.
With the spread of the new coronavirus around the world, governments of various countries have begun to use the mathematical modeling method to construct some virus transmission models assessing the risks of spatial spread of the new coronavirus COVID-19, while carrying out epidemic prevention work, and then calculate the inflection point for better prevention and control of epidemic transmission. This work analyzes the spread of the new coronavirus in China, Italy, Germany, Spain, and France, and explores the quantitative relationship between the growth rate of the number of new coronavirus infections and time. In investigating the dynamics of a disease such as COVID-19, its mathematical representation can be constructed at many levels of details, guided by the questions the model tries to help answer. Mathematical sophistication may have to yield to a more pragmatic approach closer to the ability to make predictions that inform public health policies. Background In December 2019 , the first Chinese patients with pneumonia of unknown cause is China admitted to hospital in Wuhan, Hubei Jinyintan , since then, COVID-19 in the rapid expansion of China Wuhan, Hubei, in a few months time, COVID-19 is Soon it spread to a total of 34 provincial-level administrative regions in China and neighboring countries, and Hubei Province immediately became the hardest hit by the new coronavirus. In an emergency situation, we strive to establish an accurate infectious disease retardation growth model to predict the development and propagation of COVID-19, and on this basis, make some short-term effective predictions. The construction of this model has Relevant departments are helpful for the prevention and monitoring of the new coronavirus, and also strive for more time for the clinical trials of Chinese researchers and the research on vaccines against the virus to eliminate the new corona virus as soon as possible. Methods According to the original data change law, Establish a Logistic growth model, we collect and compare and integrate the spread of COVID-19 in China, Italy, France, Spain and Germany, record the virus transmission trend among people in each country and the protest measures of relevant government departments. Findings Based on the analysis results of the Logistic model model, the Logistic model has a good fitting effect on the actual cumulative number of confirmed cases, which can bring a better effect to the prediction of the epidemic situation and the prevention and control of the epidemic situation. Interpretation In the early stage of the epidemic, due to inadequate anti-epidemic measures in various countries, the epidemic situation in various countries spread rapidly. However, with the gradual understanding of COVI D -19, the epidemic situation began to be gradually controlled, thereby retarding growth
Nov 2020 DOI 10.14302/issn.2641-4538.jphi-20-3621
Stapff ManfredCorresponding author
LG Chem Life Sciences Innovation Center, Cambridge, MA, USA
Context In the face of further waves of the COVID-19 pandemic it becomes essential to find a balance between protective actions to guard public health and restrictive measures which can collapse our economy. Background As a basis for public health decisions, officials still rely on metrics which were helpful in the beginning of the pandemic but are now not precise enough for a focused and targeted approach to keep the spread of the infection under control. This can lead to public mistrust, “pandemic tiredness”, and can cause unnecessary damage to the economy without having the desired protective effect on public health. Methods This article discusses various metrics, their advantages and caveats, and it provides suggestions for use in a more targeted and risk-based approach, as an alternative to the current “general lock-down” practice. It suggests the notion of including a concept of “risk contacts per area” to better describe the possibility of virus transmission than currently published metrics do. The article also suggests specific analyses of real-world data for identification of populations at risk for severe courses of COVID-19 to allow more targeted protective actions. Discussion Data currently used to describe the COVID-19 pandemic lack important parameters like population density and local likelihood of potentially infectious contacts. The currently often used “all or nothing” approach of shut-down orders needs to be replaced by more sophisticated tactics considering individual local exposure risks and need to be balanced towards metrics on economic short term and long-term impact. In addition, smart analyses of real-world data may contribute to effective protection of individuals at risk.
Aug 2020 DOI 10.14302/issn.2381-862X.jwrh-20-3439
Aboma DanielCorresponding author
Shenen Gibe General Hospital, Msc, IESO
Background Pregnancy and parturition are events of considerable significance in the life cycle of women. Though it is supposed that the quality of care during labor, birth, and postpartum period plays a great role for adverse outcomes of birth, various reports claimed that cesarean delivery carries a higher maternal and fetal morbidity and mortality compared to vaginal delivery. Therefore, this study assessed the Rate, Maternal and Fetal Outcome of Cesarean delivery performed by IESO at Shenen Gibe General Hospital, Jimma south west Ethiopia. Integrated Emergency surgical officer is a health professional qualified and authorized to perform emergency obstetrical-gynecological and emergency general surgical procedures. The training has started in 2010 in 3 universities and 10 affiliated sites with intake of 43 students. The MSc program in integrated emergency surgery is intended to achieve one of the millennium development goals (MDG): reducing the overwhelming maternal mortality ratio and perinatal mortality rate at the local and national level. (1) Methods Hospital based two-year retrospective descriptive cross-sectional study design was employed and data collected from November to December 2019 in shenen Gibe General Hospital ,Jimma south west Ethiopia. A total of 185 mothers who delivered by cesarean delivery from December 2017 to December 2018 and complete data were included in the study. Data were extracted using structured data collection format and cleaned, and entered into Epi data software version 3.1 and exported into SPSS version 26 for further descriptive analysis. Result Among 2115 deliveries in the two years of retrospective data, a total of 186 mothers were delivered by cesarean section, giving cesarean delivery rate 8.8 %. The leading indication for cesarean delivery was fetal distress (24.2%). Among the total cesarean delivery, 22 neonates were died, giving the proportion of neonate mortality rate 16.8%. One mothers were died following cesarean delivery, giving maternal mortality rate following cesarean delivery 12 per 1000 live births. The leading cause for maternal mortality was hemorrhagic shock Conclusion However, cesarean delivery rate in this study was within the WHO recommended range, the health outcome of mothers and neonates’ following cesarean delivery was not acceptable. The neonatal and maternal mortality following cesarean delivery was 16.8% and12 per 1000 live births respectively. The main cause of neonatal death was birth asphyxia.
Jun 2020 DOI 10.14302/issn.2643-2811.jmbr-20-3402
Stanley Raj A.Corresponding author
Department of Physics, Loyola College, Chennai, Tamilnadu- 600034, India.
This research paper focuses on rainfall variations in Tamil Nadu, India using Wavelet, Linear regression and Artificial Neural Networks model from 2004 to 2017. As the rainfall is the key factor in understanding climate change, the seasonal datasets from 2004-2017 of Tamil Nadu state has been taken for study. The salient feature of this study is the application of Neural Networks and wavelet analysis. It reveals that the rainfall variations are ambiguous that it does not maintain a constant pattern. Wavelet coefficients of multiresolution spectrogram reveals that the intensity of rainfall in each year. Linear regression model divulge the pattern of rainfall followed in every season and the results show that except winter season all other season suffers deficient rainfall. The deficiency of rainfall may be due to different parameters like ElNino or LaNina pattern or global warming. Results showed that all seasons except winter does not maintain consistency in the rainfall variability. Winter season provides the positive slope values of 4.7 and 0.6 for January and February respectively. Moreover Artificial Neural Networks training provides prominent results of Regression value 0.98 which is comparably high with other seasons taken for study.
Apr 2020
Stanley Raj A.Corresponding author
Department of Physics, Loyola College, Chennai, Tamilnadu- 600034, India.
Geoelectrical resistivity data is used for estimating the subsurface features of earth. It is very difficult to estimate the depth and true resistivity analytically, therefore many mathematical models approximates the result. The approximation relies on many parameters as the heterogenous model of earth is difficult to map. Conventional interpretation algorithm mostly uses the forward modelling technique which is limited for different lithologies. Here we presented ResinvANFIS v1.0 software platform to invert any type (A, Q, K, H or any mixed data types) of resistivity data having AB/2 and apparent resistivity data as input. This kind of generalised platform has not been done elsewhere to invert data directly using soft computing approach.
Jan 2019 DOI 10.14302/issn.2574-4496.jtc-18-2473
Noguchi YasushiCorresponding author
Department of Radiology, Noguchi Thyroid Clinic and Hospital Foundation, 7-52 Aoyama-cho, Beppu 874-0902, Japan
This study aimed to investigate the trend of patients with thyroid cancer undergoing thyroidectomy and those undergoing fine needle aspiration (FNA) and its relationship with thyroid cancer, using a large-scale, real-world database established based on the employment-based health insurance claims data in Japan. In this retrospective descriptive study, annual incidence rates of patients with thyroid cancer undergoing thyroidectomy and FNA from 2005 to 2014 were calculated. Among the 3,130,757 enrollees, 926 patients were diagnosed with thyroid cancer and underwent thyroidectomies. The annual incidence of patients with thyroid cancer undergoing thyroidectomy increased from 5.4 (95% confidence interval 95% CI, 3.4–8.5) in 2005 to 11.7 (10.1–13.5) per 100,000 patient-years in 2013, with a gradual increase among patients in their 20s and 30s and with the most notable increase among those in their 40s and 50s. The annual FNA rate also increased during those years, whereas no noticeable change was observed in the thyroid cancer detection rate. The incidence rates of patients with thyroid cancer undergoing thyroidectomy and those undergoing FNA were strongly correlated, with Pearson’s correlation coefficients of 0.935 for men and 0.886 for women. In conclusion, an increasing trend in the incidence of patients with thyroid cancer undergoing thyroidectomy was observed from 2005 to 2013 among a large group of Japanese employees of working age and their dependents. These results provide useful information on the impact of patients with thyroid cancer undergoing thyroidectomy on the working population.
Sep 2018
Giammarino MauroCorresponding author
Department of Prevention, Asl CN 1, Veterinary Service, Area Animal Sanity, Piazza Luigi Gallo 1, 12035 Racconigi (CN), Italy.
Groups of wild juvenile and adult mallard ducks were captured, ringed, measured, while, juvenile ones already ringed, were remeasured on a subsequent recapture between March and September over a period of 7 years, at a site in Piedmont (Italy). Measurements cover both the rates and the pattern of development of 4 morphological features (head-and-bill-length, bill-length, tarsus-length, and weight). Juveniles were examined and their measurements were compared with the asymptotic value obtained from adults’ measures. A functional data analysis growth model was fitted to data and it yielded plausible quantitative estimates. Tarsus appears to reach the asymptote faster than the other morphological features in this population. Finally, a functional principal components analysis was performed to discriminate sex in growing Mallard ducks.
Apr 2018 DOI 10.14302/issn.2768-0207.jbr-17-1925
Bai QifengCorresponding author
Key Lab of Preclinical Study for New Drugs of Gansu Province, School of Basic Medical Sciences, Lanzhou University, Lanzhou, Gansu 730000, P. R. China
Big data research has become popular and exciting studies in almost all scientific fields such as biology, chemistry, epidemiology, medicine and drug discovery. The various systems and platforms produce large amounts of data every day. It will be very helpful for the researchers and workers to deal with big data if the practical database and useful software are introduced in time. The Journal of Big Data Research (JBR) supplies an efficient and open access publishing platform for big data research. The first issue of JBR aims to foster the dissemination of high-quality big data studies in the biological, medical and chemical database as well as the new algorithm and software for big data processing. The database and computing framework are selected to introduce the development of big data in the biological, medicine and drug discovery. The mature and functional database can be serviced in big data research of scientific fields. It promotes the scientists to extract the useful and essential dataset from the massive data. The grid computing and cloud computing supplies a new paradigm that offers an effective framework of computing and services. The research papers are welcomed from the scopes of the practical database, new algorithm and software for big data studies. All these kinds of papers not only provide the effective application methods and platforms, but also give a good promising future for big data research.
Mar 2018
Liu XiaopingCorresponding author
School of Mathematics and Statistics, Shandong University at Weihai, Weihai 264209, China
An important use of proteomics data from Mass Spectrometry (MS) is the classification of tumor types with respect to peptides in specific cancer types. It is highly critical to find an optimal set of markers among specific cancer peptides whose expression can be clinically utilized to build assays for the diagnosis or to track the progression of specific cancer types. A number of feature selection algorithms have been proposed to obtain the classification of MS data. In this article, we proposed an improved feature selection algorithm based on feature weighting. Relief algorithm can calculate the weight of different features according to the correlation between their characteristics and categories. F-score is a simple filter-based feature selection method by evaluating how two sets of real numbers discriminate from each other. The main goal of this paper is to introduce a new feature weighting selection algorithm combining score from f-value and weight from relief, which is more accurate when classifying high-resolution MALDI-TOF (matrix-assisted laser desorption and ionization time-of-flight) MS data. We have developed a four-step strategy for data processing based on: (1) Align the study sets by binning of raw MS data, (2) local maximum search(LMS) peak detection, (3) a new combination feature weighting selection algorithm and (4) support vector machines achieve a satisfactory performance of identifying cancer and the healthy. The best parameter set for LMS were achieved with control variable method, which achieve an average accuracy of 97.4167% (sd = 0.0146) and the best accuracy of 98.6111% in 1000 independent 10 -fold cross validations.
Sep 2017 DOI 10.14302/issn.2474-7785.jarh-17-1727
Akazawa ManabuCorresponding author
Public Health and Epidemiology, Meiji Pharmaceutical University
Background: Healthcare services provided to patients should vary depending on disease severity. However, disease severity bias, a type of selection bias, is a commonly encountered problem in administrative database studies. Herein, we selected chronic obstructive pulmonary disease (COPD), which commonly affects elderly Japanese citizens, for the development and validation of a severity classification system based on a health insurance claims database. Methods: Patients who received COPD-related diagnostic codes in 2011 were selected from a commercially based health insurance claims database. COPD patients were randomly divided into two groups to develop and validate severity scores. A principal component analysis was used to estimate factor loadings used to weight calculations of COPD severity scores. Score validity was evaluated using a linear trend test to predict COPD treatment costs and acute exacerbation events. Results: Using records from 880 patients, ten variables were created: acute exacerbation events, emphysema diagnoses, laboratory test and oxygen therapy procedures, prescribed anticholinergic, inhaled corticosteroid (ICS), short acting beta-agonist, and long acting bronchodilator (LABA) agents, asthma diagnosis and patient birth years. Factor loadings from LABA and ICS prescriptions had the strongest impacts on estimated severity scores (0.50 and 0.49, respectively). Among 300 validation group patients, scores were found to associate with increasing trends of median costs and exacerbation risks (p for trend < 0.05). Conclusions: Estimatedseverity scores would help to predict COPD-related medical costs and exacerbation events. For further clinical implementation, this classification system should be re-evaluated using clinical lung functions information indicative COPD severity and treatment choices.
Mar 2017 DOI 10.14302/issn.2324-7339.jcrhap-17-1468
Gibb JeanCorresponding author
University of California, Los Angeles Medical Center
Successful viral load programs rely on the presence of data systems and high quality of patient data. Using a cohort of 49 patients at Partners in Hope, a large, urban HIV clinic in Malawi, we performed a quality improvement assessment of a new viral load program with a focus on accuracy of data collected from patients as well as adherence to Malawi HIV Guidelines in regard to response to elevated viral loads (≥1,000 copies/mL). Data were obtained from three parallel medical record systems to investigate the proportion of patients with a repeat viral load and whether the three data systems agreed in regard to sociodemographic and clinical data. Fewer than 30% of patients had a repeat viral load within six months, as recommended in the Malawi HIV Guidelines. There were significant problems with data agreement across the three parallel databases used for care. Date of birth was consistent for 55.1% (N=27) of patients, while a different date of birth was noted in all three sources for 10.2% of patients (N=5). Viral load data from all three sources agreed for only 2.0% of patients (N=1). For 65.3% (N=32), the viral load from the laboratory did not match the recorded viral load in the electronic or paper record. Scale-up of viral load monitoring must be accompanied by the development of data systems that support workflow from sample collection to lab and back to provider. Education of providers and strategies for data collection with minimal errors can facilitate scale-up of high quality programs.
Jul 2016 DOI 10.14302/issn.2474-3585.jpmc-16-1112
V. Seeman MaryCorresponding author
Professor Emerita, Department of Psychiatry, University of Toronto, 260 Heath St. W., Suite 605, Toronto, Ontario, M5P 3L6, Canada.
Background: Mental health promotion depends to a large extent on the gathering of accurate baseline opinion data from a targeted population. Aim: The aim of this paper is to explore the potential applications of a new method of measuring true attitudes toward mental illness, and of monitoring and evaluating subsequent public health interventions. Method: This paper reviews the strengths and limitations of a novel survey method, RIWI, its early findings, and its potential applications in the field of mental health promotion. Comparisons are made to other commonly used survey methods through entering pertinent search terms into the Google Scholar™ database. Findings: The RIWI online survey method has several advantages over earlier survey methods: it is random, quick, anonymous, and reaches very large samples. Questionnaires are easily translatable and can be repeated, with excellent test-retest reliability. Anonymity reduces social desirability bias. The limitations are: a) variable completion rate, which carries the upside of allowing regional comparisons, and b) the reality that the respondent pool reflects regional Internet usage, often biased toward young literate males. Conclusions: A survey method that is able to quickly and repeatedly sample large numbers of random individuals is an important advance for health promotion in that interventions can be timely and their efficacy can be rapidly evaluated.
Nov 2014 DOI 10.14302/issn.2379-8572.joa-14-429
Ver Halen JonCorresponding author
Background: We reviewed the 2005-2011 ACS-NSQIP database to evaluate factors associated with adverse events (AE) after total laryngectomy (TL). Methods: All total laryngectomies performed from 2006 to 2011 were identified for analysis. The cohort was characterized with respect to preoperative and demographic characteristics, complications, reoperation, and mortality. Results: 493 cases were identified. Complications of any category occurred in 189 cases (38.3%). Factors that were found to confer significant risk for medical complications were increased age (dds Ratio (OR) 1.03), prior PCI (OR 2.84), disseminated cancer (OR 2.47), chronic steroid/immunosuppresion use (OR 2.87), unintended weight loss > 10% over 6 months prior to surgery (OR 2.02), increasing work RVU total (OR 1.02), and increased anesthesia Z-score (OR 1.31). Only increased anesthesia Z-score (OR 1.27) was found to be a statistically significant risk factor for surgical complications. Chronic steroid/immunosuppression use (OR 3.16) and increased anesthesia Z-score (OR 1.29) were both found to be statistically significant risk factors of reoperation within 30 days. Conclusions: NSQIP is the only dataset that correctly discerns between minimally invasive and wide excision in laryngectomy. The use of the NSQIP dataset may be imperfect, as pertinent details of chemotherapy and radiation, and procedure-specific complications, including fistula formation, are not tracked. In spite of this, our findings suggest avenues for improvement in the care of TL patients, and suggest directions for a laryngectomy-specific outcomes database.
Nov 2013 DOI 10.14302/issn.2328-0182.japst-13-185
WS WaringCorresponding author
Acute Medical Unit, York Hospital, York, UK
Background: Antidepressant agents are commonly implicated in drug overdose, and the toxicological profile varies between agents. Clinical data concerning overdoses are not systematically sought or evaluated in pharmacovigilance. The present study sought to examine the feasibility of collecting Emergency Department data concerning antidepressant overdose. Methods : Presentations to York Hospital due to intentional antidepressant overdose were studied between 2010 and 2011. Data collected were the type of antidepressant, dose, co-ingested drugs, duration of hospital stay, and need for critical care. Community National Health Service prescription data were evaluated across York and North Yorkshire region. Results : There were 250 overdose episodes. These involved a selective serotonin reuptake inhibitor (SSRI) in 183 (73.2%), and a tricyclic in 45 (18.0%), equivalent to 24 episodes per 100,000 prescription items (95% CI 21-28 per 100,000) and 11 per 100,000 (8-15 per 100,000) respectively (P<0.0001). Citalopram was the most commonly prescribed, and associated with 22 overdose episodes per 100,000 (17-27 per 100,000). Fluoxetine was associated with 32 overdose episodes per 100,000 (24-41 per 100,000) (P=0.032 versus citalopram), whereas the lower rates were observed for amitriptyline (13, 9-17 per 100,000) (P=0.004) and dosulepin (2, 0-10 per 100,000) (P=0.001). Conclusions : A higher than expected number of overdose episodes involved an SSRI based on National Health Service primary care prescribing, and fewer episodes involved a tricyclic antidepressant. Clinical outcomes differed between agents, indicating the feasibility of using Emergency Department data to detect different patterns of toxicity between antidepressants. Further work is required to examine whether systematic collection of clinical toxicology data might enhance existing pharmacovigilance systems.
Jul 2013 DOI 10.14302/issn.2326-0793.jpgr-12-160
J. Fu WenjiangCorresponding author
Department of Epidemiology and Biostatistics, Michigan State University, East Lansing, Michigan 48824 USA
Maternal-fetal genotype (MFG) incompatibility has been shown to be strongly associated with a number of genetic diseases. Most current methods for the MFG test rely on parents-offspring trio genotype data and do not apply to mother-offspring pair data where paternal genotype is unavailable. In this paper, we developed a two-stage method for testing the allelic effect of given SNP through subgroup analysis of compatible MFG pairs and further tested the MFG incompatibility effect according to different scenarios determined by the allelic effect. Simulation studies demonstrated that this novel two-stage model is powerful in detecting the MFG incompatibility effect. This method can be implemented through publicly available statistical software, such as SAS, R, etc. We demonstrate with a case-control study of small for gestational age neonates that the method identified a SNP in the IGF2R gene with a significant allelic effect (p = 0.037), and a SNP in the IGF1 gene with a significant MFG incompatibility effect (OR = 0.75 and p = 0.033).
Jun 2026 DOI 10.14302/issn.2642-9241.jrd-26-6332
de Melo PhilipCorresponding author
Respiratory diseases remain a major contributor to hospital morbidity and mortality worldwide, particularly among elderly patients and individuals with severe pulmonary compromise. Accurate prediction of respiratory mortality is clinically important for triage, resource allocation, ICU utilization, and early intervention. Traditional statistical models frequently demonstrate limited predictive sensitivity because respiratory mortality is influenced by complex interactions among demographic, diagnostic, physiologic, and severity-related variables. In this study, a machine learning framework was developed to predict in-hospital mortality among patients with respiratory disease using administrative and clinically derived variables, including age, sex, length of stay (LOS), diagnostic descriptions, risk of mortality and severity scores. A Random Forest classifier with balanced class weighting was developed and implemented to address nonlinear relationships and class imbalance within the dataset. Initial modeling demonstrated good overall discrimination performance, with receiver operating characteristic area under the curve (ROC-AUC) values approaching 0.84; however, mortality recall remained limited because deceased patients represented a minority class within the original dataset. To improve mortality detection, a physiologically informed synthetic augmentation strategy was developed. Synthetic clinical variables included oxygen saturation, ICU status, ventilator support, sepsis status, systolic blood pressure, creatinine, and lactate levels. Conditional physiologic consistency rules were incorporated during augmentation to preserve clinically plausible relationships among respiratory failure, hemodynamic instability, and organ dysfunction. The augmented dataset substantially improved model sensitivity and balanced mortality classification performance. Final model evaluation demonstrated strong predictive capability, achieving approximately 97% classification accuracy with balanced precision and recall across mortality classes. Confusion matrix analysis revealed marked reduction in false-negative mortality predictions compared with baseline modeling approaches. Feature importance analysis identified physiologic instability markers, respiratory severity classifications, LOS, and diagnostic respiratory categories as dominant predictors of mortality. These findings suggest that hybrid simulation-augmented machine learning frameworks may provide a valuable strategy for respiratory mortality analytics, particularly in datasets with limited real-world mortality prevalence and incomplete physiologic representation.
Jun 2026
De Coninck LeenCorresponding author
Background A persistent gap remains between evidence-based health care and its application in routine practice. This challenge is particularly prominent in allied health professions like occupational therapy (OT), where interventions are complex, individualized and centred on patients' daily functioning. Objective To identify barriers, facilitators, and implementation strategies for integrating evidence-based OT interventions in multiple sclerosis (MS) rehabilitation. Methods A mapping review was conducted using searches in five databases. Eligible studies included adults with MS, examined OT interventions, and reported on factors influencing implementation. Data were extracted and categorized using Grol’s framework for barriers/facilitators and Mazza’s taxonomy for implementation strategies. Results Fifteen studies met inclusion criteria. Barriers and facilitators were identified at multiple levels of Grol’s framework: 1-Innovation-level: accessibility, feasibility, and perceived attractiveness supported implementation, particularly when interventions incorporated holistic approaches, gamification, or printed manuals. 2-Professional-level: therapists’ competencies and alignment between interventions and patients’ priorities. 3-Patient-related: facilitators included motivation, readiness to change, and peer support, whereas fatigue, pain, and cognitive challenges served as barriers. 4-Social and organizational: effective teamwork, resource availability, and flexible scheduling facilitated successful adoption. 5-Economic or political: no studies. Implementation strategies focused on using manuals, patient empowerment, gamification, and organizational supports. No financial or structural policy-level strategies were identified. Conclusion Successful implementation of evidence-based OT for MS requires multifaceted, context-sensitive strategies addressing innovation, professional, patient, and organizational determinants. Practical approaches enhance uptake, while substantial gaps persist at economic and policy levels. Strengthening these areas may improve longterm integration and sustainability of evidence-based OT in MS rehabilitation.
Jun 2026 DOI 10.14302/issn.2379-7835.ijn-25-5909
Bisai SamiranCorresponding author
The high prevalence of anemia among children and adolescents in India is still an overwhelming problem. Not only that, there is also a considerable deficiency of various micronutrients such as Vitamin A, Vitamin B12, Vitamin D, serum ferritin, Zinc and Folate etc. in children. These micronutrients have several functional roles for the normal growth and development of children. Unfortunately, recent studies on public health and nutrition intervention have so far focused less on these micronutrition and more on anemia and nutrition. Data for this study obtained from the Comprehensive National Nutrition Survey (CNNS 2016-18), a nationally representative survey covering different age group. Specifically, it includes information on 9767 children aged 1-4 years. Out of these surveyed children biomarker data for hemoglobin, serum ferritin, zinc, folate, vitamin A, vitamin B12 and Vitamin D were collected from 8242 children. Micronutrient deficiencies were identified based on WHO and other established cut-off criteria. Wealth quintiles were computed to identify household economic inequality. The prevalence of anemia at the national level was 40.7%. Among micronutrients, folate (22.9%) and zinc (18.7%) deficiencies were most commonly observed, followed by vitamins A (18.3), vitamin B12 (13.8%) and vitamin D (14.0%). Iron deficiency as measured by ferritin was present in 31.6% of children. It is alarming that nearly one in three children (32.8%) suffer from deficiencies in two or more micronutrients. Clear socioeconomic disparities were observed for all micronutrient deficiencies (MND); children in the poorest groups had significantly higher levels of micronutrient deficiencies than children in the richest groups. Among the states, Gujarat and Madhya Pradesh had the highest overall micronutrient deficiencies, while West Bengal and Kerala had the lowest. This clearly shows that a large proportion of preschool children in India suffer from anemia and MND, with the prevalence being even more alarming in lower socio-economic settings. This study suggests that there is a need to move beyond single-nutrient interventions and implement comprehensive, multi-micronutrient supplementation or food fortification strategies seamlessly into the existing national health and nutrition programs.
May 2026 DOI 10.14302/issn.2572-3030.jcgb-26-6307
Faisst Arne-C.Corresponding author
The development of tumor biomarkers derived from blood, or its components, has become pivotal in advancing early cancer diagnosis. Malignant transformations induce cancer-specific alterations in the transcriptome, proteome, and secretome of tumor cells. Recent studies highlighted similar alterations in peripheral blood mononuclear cells (PBMCs) in cancer patients, which appear to mirror the state of transformation in tumor cells. These findings suggest an intercellular communication–driven mechanism rather than a systemic inflammatory response and, in addition to current ctDNA-based liquid biopsy biomarkers, point to a novel, simple, and highly robust approach for the early detection of cancer. Using this phenomenon to advance PBMC-based biomarker development, it will be essential to achieve 3D in vitro tumor models that reproduce a highly physiological tumor microenvironment (TME). Likewise, more enhanced 3D ex vivo models are required to enable the replication of cell-to-cell and organ-to-organ communication. These systems will guide the self-organization of mixed microenvironments derived from different tissues and enable them to accurately reproduce the molecular connections underlying these alterations. In this study, an innovative new modular 3D co-culturing approach was used to expose PBMCs to lung tumoroids, under physiologically relevant conditions. Changes in DNA fragmentation of PBMCs in the presence of lung cancer were quantified and used as a biomarker. To validate the predictiveness of this biomarker, our results were compared with clinical data from a clinical evaluation study. Similar to the clinical trial observations, PBMCs, when exposed to lung tumoroids, showed a significantly lower level of DNA fragmentation (37%). This modular 3D co-culturing model showed a predictiveness of the clinical data of > 90%, demonstrating its power to monitoring cell-to-cell communication effects and support the development of blood-based biomarkers.
May 2026 DOI 10.14302/issn.2641-4538.jphi-26-6161
J GonzalezCorresponding author
Objectives Motor fluctuations and non-motor disorders not manageable by first-line treatments in advanced Parkinson's disease require continuous dopaminergic stimulation strategies such as subcutaneous infusions of apomorphine (APO) or foslevodopa/foscarbidopa (FLD/FCD). A Budget Impact Analysis (BIA) was performed to estimate the cost difference between both treatments assuming equivalent clinical efficacy and safety. Material and methods The efficacy results of pivotal clinical trials at 12 and 52 weeks of treatment and the safety profile of APO vs FLD/FCD were compared, based on latest scientific publications and other available clinical data. A comparative BIA was performed, based on estimated annual drug treatment costs at Spanish published prices. Results The efficacy of APO (16 h/day) and FLD/FCD (24 h/day) in reduction of OFF hours (2.47 vs 2.75, 12 weeks; 3.66 vs 3.50, 52 weeks; respectively) and increase of ON hours without disabling dyskinesias (2.77 vs 2.72, 12 weeks; 3.31 vs 3.80, 52 weeks; respectively) could be considered clinically equivalent, as well as their safety profiles. However, a significant discrepancy is observed in the costs of the aforementioned alternatives. Considering published prices and the average dose reported in the literature, in Spain the annual cost of APO would be €13,980 compared to €55,198 for FLD/FCD. Consequently, the financial resources required for the treatment of FLD/FCD would enable the treatment of approximately three to four patients with APO. The BIA indicated the potential for annual savings in more than €2,500 million, considering a total target population of over 60,000 patients per year. Finally, an univariant sensitivity analysis was performed, considering a scenario in which the hospital acquisition cost of FLD/FCD decreased between 20%-30% (€44,159- €38,638/year). In this scenario, the total annual savings range between €1,875-€1,532 million per year. Conclusions Overall APO is more efficient than FLD/FCD, as it provides similar clinical efficacy at a lower treatment cost. The selection of an appropriate treatment option is to be determined by clinical criteria and patient characteristics, but cost evaluation should be considered to select the most cost-effective therapeutic option.
May 2026 DOI 10.14302/issn.3070-3379.jwc-26-6201
R. Hodgson BruceCorresponding author
A sustainable global net-zero carbon emission is when emissions are equivalent to the uptake of carbon by global terrestrial and aquatic plants. To meet that objective, an approximate 50% reduction of fossil-fuel emissions was estimated for net-zero by 2050 using carbon dioxide concentrations and mass emission monitoring by NOAA and related references. From that data, the initial target level of reduction to obtain net-zero was selected for year 2000 to minimise effects of climate change on environmental damage. The recent finding that about half global emissions are taken up from the atmosphere and increases global terrestrial and aquatic plant growth, including agriculture plants for food production, indicates it is important to maintain the year 2000 levels in the atmosphere. It was concluded as renewable energy was found to need support, it could be supplemented by electricity production remaining after obtaining net-zero, which also supports the atmospheric carbon dioxide levels for their important global ecological contribution.
May 2026 DOI 10.14302/issn.2574-4518.jsdr-25-5773
Peres de Sousa LucasCorresponding author
Introduction Sleep quality is a fundamental determinant of human health and well-being. Modified Intravascular Laser Irradiation of Blood (ILIB), a non-invasive therapeutic modality, has emerged as a potential intervention for sleep-related disturbances. Proposed mechanisms include reduced blood viscosity and platelet aggregation, activation of superoxide dismutase, increased oxygen bioavailability, enhanced microcirculation, elevated serotonin levels, and decreased cortisol concentrations—physiological processes intricately involved in sleep regulation, mood modulation, and the stress response. Objective To evaluate the effects of Modified Intravascular Laser Irradiation of Blood (ILIB) on sleep quality in individuals with self-reported sleep disturbances. Methods A randomized, placebo-controlled clinical trial was conducted with participants who reported poor sleep quality. Subjects were randomly assigned to one of two groups: the intervention group received ILIB using a 660 nm red laser, while the control group received a placebo treatment (light emission with sub-therapeutic power, <1 mW). Both groups underwent the same treatment schedule. Sleep quality was assessed at baseline and after six treatment sessions using the Pittsburgh Sleep Quality Index (PSQI) and the Epworth Sleepiness Scale (ESS). Results Participants in the ILIB group showed statistically significant improvements in the primary outcome of global sleep quality. PSQI scores decreased from 10.24 at baseline to 6.47 post-treatment. ESS scores showed a non-significant change from 10.44 to 10.12. These results suggest enhanced overall sleep quality and reduced sleep latency, although the observed reduction in daytime sleepiness did not reach statistical significance. Conclusion Modified Intravascular Laser Irradiation of Blood appears to be a promising non-invasive approach for improving sleep quality. The clinical outcomes observed are comparable to those reported in both pharmacological and behavioral sleep interventions, particularly in terms of PSQI improvements. These preliminary findings support the need for further research to clarifyunderlying mechanisms, optimize treatment parameters (e.g., dosimetry and duration), and expand outcome assessments to include biomarkers and polysomnographic data.
May 2026 DOI 10.14302/issn.2693-1176.ijgh-26-6165
Christine Ruth PiloyaCorresponding author
Background Women’s participation in environmental conservation within patriarchal societies is a critical factor for achieving sustainable development and improved community outcomes. Despite this importance, limited research has examined women’s perceptions of their roles and contributions to environmental conservation. The current study aimed to (1) explore women’s perceptions of their roles in environmental conservation within patriarchal structures, and (2) to document the effectiveness of strategies enhancing their participation. Methods This study followed a phenomenological design, using thematic data analysis. Information was gathered through semistructured interviews, focus group discussions (FGDs), and key informant interviews with technocrats, civil servants, local leaders, and NGO staff. The sample size of the study was 30 participants, obtained using the point of saturation principle. The focus group consisted of 24 participants and 06 Key Informants. The study tools were pretested with a small group before the main fieldwork. Participants were selected using purposive sampling. The size of the sample was guided by data saturation. Results The findings show that although women’s representation in local councils and environmental committees has grown due to the 30% quota requirement, their influence remains constrained by systemic barriers. Political interference undermines technical teams’ conservation efforts, while widespread community ignorance of environmental laws limits compliance. Weak enforcement and corruption, with leaders themselves implicated in destructive practices, further erode progress. Critically, inadequate financing such as subcounties allocating only 600,000 shillings for sensitization, leaves many activities unimplemented, forcing reliance on development partners. Conclusion The study concludes that sustainable environmental stewardship requires not only legal reforms and institutional accountability but also adequate financing and communitydriven strategies that amplify women’s voices and foster collective responsibility.
Apr 2026 DOI 10.14302/issn.2574-450X.jom-26-6138
Dahlmann NicolausCorresponding author
Indices, based on data such as height and weight in general and in particularly the body mass index (BMI), are often used to assess overweight. However, there is limited capacity to differentiate the amount of fat mass between individuals. This review refers to an anthropometric model called Dahlmann-Body-Analysis (DBA), which uses simple anthropometric parameters to define a Reference Weight (Ref-Wt). It is based on hand circumference as a proxy for the skeletal frame and, in addition, the circumference of the abdomen as a proxy for central obesity. Processed through a network of algorithms, the DBA model enabled to differentiate the Difference Weight – that means the difference between the Actual Weight and the Reference Weight – into fat mass and skeletal muscle mass. The DBA-model resembles the 2-component model of Albert R. Behnke, which he considered as a living functional construct including essential fat. The DBA-model matches with Behnke`s 2-component model insofar, as the essential fat is replaced by a physiological amount of fat tissue. The review summarizes studies to compare DBA-derived data with Metropolitan Life Insurance tables, evaluates DBA-derived fat tissue mass with bioelectrical impedance analysis (BIA) derived results and analyses the meaning of the DBA model in clinical settings to uncover the underlying mechanisms of metabolic syndrome (MetS) pathogenesis with increasing amounts of fat mass. The model offers the opportunity to calculate changes in fat or muscle tissue in an absolute (kg) or relative (%) amount on individuals. The data suggest that the DBA-model has satisfactory prediction qualities for use as a practical tool in public health care.
Mar 2026 DOI 10.14302/issn.2994-6743.ijstd-26-6060
Francesco Amadeo PierCorresponding author
Objective To describe the clinical features and real-world treatment of people living with human immunodeficiency virus (PLHIV) using fixed-dose or free combinations of 2-drug regimens (2DR) of antiretroviral therapy (ART). Design Italian retrospective cohort study. Methods Data were extracted from PLHIV who initiated or switched to 2DR: Group 1 (fixed dose), Group 2 (free combination). Results Group 1 was younger and more predominantly male, and had shorter time from AIDS-defining diagnosis to 2DR-ART and from diagnosis to baseline, a lower prevalence of resistance, and fewer comorbidities than Group 2. Median baseline viral load was <50 copies/mL in both groups, but Group 1 had a higher mean due to outliers. The most common ART classes before switching to 2DR were Integrase Strand Transfer Inhibitor (INSTI)-based (48.97%), Non-Nucleoside Reverse Transcriptase Inhibitor (NNRTI)-based (22.73%), and Protease Inhibitor (PI)-based (16.53%). Distribution varied: Group 1: INSTI-based (53.13%), NNRTI-based (24.31%), and PI-based (15.04%); Group 2: INSTI-based (29.41%), PI-based (23.53%), and NNRTI-based (15.29%). After switching, Group 1 was on dolutegravir/lamivudine (79,33%) and dolutegravir/rilpivirine (20,67%); Group 2 mostly on INSTI-PI (52.81%), followed by NNRTI combinations, mainly with doravirine (19.10%). Duration of ART after switching was shorter in Group 1. Conclusion Italian PLHIV on 2DR fixed-dose combinations were younger, virologically suppressed individuals at baseline, with a shorter lead time from diagnosis, lower prevalence of resistance and lower comorbidity rate compared to those on free combinations. These findings underscore an unmet need for 2DR fixed-dose combinations, as the free combinations were predominantly utilized for more challenging populations.
Mar 2026 DOI 10.14302/issn.3070-2232.jf-26-6051
Jana SnehasisCorresponding author
Objective Bitter gourd (Momordica charantia L.) is a widely consumed vegetable. This study aimed to assess the impact of spiritual blessing (biofield) energy treatment (S/BET) known as the Trivedi Effect® on a plant’s growth and yield when applied to both seeds and soil. Methods Seeds were split into two groups: an untreated control group (CONBIGG) and a BET-group (BTBIGG). Soil texture was checked by hand, and mineral contents were measured using standard procedures. An experienced scholar noted plant morphological, phenological, and yield-related parameters. Results The S/BET group showed improvements in stem length, fruit colour, and seediness compared to the control. Other phenological parameters, such as vine length (38.78 %; p ≤ 0.001), branch number (54.03 %; p ≤ 0.01), inter-nodal length (42.94 %; p ≤ 0.001), fruit length (33.27 %; p ≤ 0.001), seed length (40.32 %; p ≤ 0.001), seeds per fruit (52.50 %; p ≤ 0.001), and fruits per vine (66.88 %; p ≤ 0.001), were significantly increased in the BTBIGG group compared to the CONBIGG. Yield per hectare rose by 61.31 % in the S/BET group compared to the control. Conclusion The study results suggest that the spiritual blessing/prayers/BET-Trivedi Effect® significantly improved morphological, phenological, and yield-related parameters compared to the control group. This study provides useful scientific research data and information for producing stable, high-quality bitter gourds.
Feb 2026 DOI 10.14302/issn.2372-6601.jhor-25-5944
Y. Berezin MikhailCorresponding author
Background Oxaliplatin, a widely used chemotherapeutic agent, is associated with hematologic toxicities such as anemia, leukopenia, and thrombocytopenia. Despite their clinical relevance, the molecular mechanisms underlying lineage-specific bone marrow suppression remain poorly understood. Methods We administered oxaliplatin to mice over eight weeks and performed RNA-sequencing (RNA integrity >8) on bone marrow alongside peripheral blood analysis and cytokine profiling. Transcriptomic data were analyzed to identify differentially expressed genes (DEGs) and enriched pathways. For that, we applied a thematic Gene Ontology (thematicGO) enrichment method that groups GO terms into biologically meaningful categories, such as hematopoietic lineage disruption, cell cycle arrest, and cytokine signaling. Results Oxaliplatin induced broad transcriptional suppression of erythropoiesis and lymphopoiesis, with 3,691 DEGs identified (FDR<0.05, |FC|>1.5). Upregulation of Cdkn1a and downregulation of E2f2 suggest G1/S cell cycle arrest, correlating with repression of key erythroid maturation genes (e.g., Spta1, Slc4a1, Alas2) and hemoglobin subunits (Hba-a1/2, Hbb-bs/t). Despite a ~3000-fold increase in renal Epo expression, bone marrow Epor was reduced, indicating erythropoietin resistance. B and T cell markers were also significantly downregulated, signifying a collapse in adaptive immunity. Notably, neutrophil populations were largely spared. Cytokine analysis in plasma revealed a pro-inflammatory shift with elevated TNF-α and reduced TGF-β, potentially exacerbating hematopoietic dysfunction. Conclusions Oxaliplatin induces a lineage-dependent suppression of hematopoiesis, driven by coordinated cell cycle arrest, metabolic stress, and disrupted cytokine signaling. RNA-seq analysis enabled integration of transcriptomic findings into coherent biological themes. These findings provide mechanistic insights into oxaliplatin’s hematologic toxicity linking bone marrow failure (potentially reversible) via interconnected inflammatory and metabolic pathways and may inform therapeutic strategies to minimize or restore myelosuppression in cancer patients.
Feb 2026 DOI 10.14302/issn.2693-1176.ijgh-25-5735
Ruth Piloya ChristineCorresponding author
Background In Northern Uganda’s patriarchal communities, women play vital yet underrecognized roles in environmental conservation. There is limited research examining the socio-cultural roles women play in society in northern Uganda. This study, conducted in Gulu District, examined the socio-cultural functions performed by women in safeguarding natural resources. Methods This study employed an analytical cross-sectional design involving 395 women aged 18–49 in Gulu District, selected for its patriarchal context. Data were collected using structured questionnaires and analyzed with SPSS, applying descriptive and inferential statistics. Key variables included women’s roles in environmental conservation and barriers to participation. Ethical approval and informed consent were obtained to ensure research integrity. Results The study found that women in Gulu District play vital socio-cultural roles in environmental conservation, particularly as custodians of indigenous knowledge (Mean = 4.42), active participants in tree planting (Mean = 4.11), and conservers of ecosystems (Mean = 4.04). However, their involvement in advocacy (Mean = 3.46) and decision-making (Mean = 3.20) was perceived as limited, reflecting the constraints of a patriarchal society. Additionally, evolving gender roles have negatively impacted women’s engagement, with 47.6% citing excessive domestic workload and 44.1% reporting reduced participation in conservation activities. These findings highlight both the significance of women’s contributions and the structural barriers that hinder their full involvement in environmental governance. Conclusion Despite these challenges, women’s contributions remain central to sustainable environmental stewardship. The study recommends targeted sensitization and training programs to promote gender equality and community acceptance of women’s leadership in environmental governance.
Feb 2026
Singhal SunilCorresponding author
Objective The landscape of non-small cell lung cancer (NSCLC) has changed due to liberalized utilization of computed tomography, developments in immunotherapy and targeted treatments, and guidelines encouraging sublobar resections. We analyzed the implications of these advances for surgical procedures over a 16-year period. Methods The National Cancer Database was used to identify NSCLC incident cases from 2004 to 2020. Histology, stage, grade, and treatment were analyzed using descriptive statistics and logistic regression. Results 2,028,553NSCLC patients were identified. Each year was associated with an increase in Stage I for NSCLC (OR1.05, 95%CI 1.05-1.05) and histological subtypes (adenocarcinoma: OR1.03, 95%CI 1.03-1.04; squamous: OR1.02, 95%CI 1.02-1.02; neuroendocrine: OR1.11, 95%CI 1.11-1.12), with no change in adenosquamous histology. A similar increase was observed for well- or moderately-differentiated histology (OR1.04, 95%CI 1.04-1.04). The proportion of patients receiving chemotherapy decreased (OR0.98, 95%CI 0.98-0.98), while more patients were treated with immunotherapy or targeted therapy, including an increase of 14% using immunotherapy or targeted therapy as first-line treatment. There was a decrease in the likelihood of receiving pneumonectomy (OR 0.91, 95%CI 0.91-0.91). Despite guidelines advocating sublobar resections, these procedures only increased by 1.1% per year. Conclusions Over the 16-year study period, there was a significant trend towards diagnosis of Stage I NSCLC. The most pronounced change in treatment patterns has been more patients receiving immunotherapy and less chemotherapy. Despite a promising decrease in pneumonectomies, the frequency of sublobar resections remains stagnant, indicating limited uptage in current practice.
Jan 2026 DOI 10.14302/issn.2574-612X.ijpr-25-5920
Aikaterini ΚoutroukiCorresponding author
The present study examines the effectiveness of Cognitive-Analytic Therapy (CAT) in women diagnosed with breast cancer and Post-Traumatic Stress Disorder (PTSD) on reducing PTSD symptomatology and improving their mental health state (depression, self-esteem, post- traumatic growth, quality of life, therapeutic alliance). Additionally, the investigation includes the determination of the demographic, socio-economic and medical factors’ impact on mental health indicators in women with breast cancer and PTSD. The sample was 188 women with breast cancer and PTSD at the Chemotherapy Unit of ‘Agios Andreas’ General Hospital in Patras. The questionnaire data were analyzed using descriptive and inferential statistical analysis in order to determine any statistically significant correlations between the experimental and the control group and between psychological scales and the demographic and socio-economic factors. The findings confirm the effectiveness of CAT in women with breast cancer and PTSD in reducing PTSD and depressive symptoms, improving self-esteem and quality of life, achieving greater post-traumatic growth, and fostering a better therapeutic relationship with the therapist. The demographic, socio-economic and medical factors examined affected dissimilarly each psychological scale, as statistically significant associations were found with some scales but not with others.
Jan 2026 DOI 10.14302/issn.2474-7785.jarh-25-5940
Marks RayCorresponding author
Lower limb osteoarthritis, a widespread age related chronic condition is often accompanied by an increased tendency to fall and thereby various degrees of intrinsic and extrinsic injury. Falls, in turn may provoke the disease alone and in turn a high falls risk and cycle of recurrent falls and heightened disability. This report which updates what is known about falls in the context of disabling osteoarthritis argues for a possible future ecological orientation rather than a focal uni dimensional approach to addressing this costly health problem. It examines osteoarthritis falls risk factors, falls injury prevention attempts, and recommendations to advance research and practice using an ecological analytic approach in this regard. Using the PUBMED data base and others, lower limb osteoarthritis linkages and falls interaction studies were sought and examined. The data revealed osteoarthritis can lead to the chances of incurring one or more falls and further health and disability challenges, while falling can provoke the onset of osteoarthritis in its own right. Although many factors appear to be involved, these are rarely viewed through a broad multi dimensional ecological perspective, thus are confusing or overwhelming to apply to the active community dwelling elderly subject.
Dec 2025 DOI 10.14302/issn.2473-1005.jdoi-25-5870
Arthur Ferreira RibasCorresponding author
This narrative literature review investigates the clinical feasibility of maxillary sinus lift using the lateral window (or traumatic) technique, employing a grafting material composed of hydroxyapatite associated with beta-tricalcium phosphate. The study is based on the premise that bone resorption and sinus pneumatization—common in edentulous posterior maxillae—pose a challenge to achieving primary stability during dental implant placement. Given the limitation imposed by reduced residual bone height, bone-grafting surgical techniques become necessary to enable implant-supported rehabilitation. The objective of this work is to analyze, through a literature review, the efficacy of combining synthetic biomaterials as an alternative to autogenous bone grafts, which are considered the gold standard in implant dentistry. A bibliographic search was conducted in the PubMed and LILACS databases and through the VHL portal, prioritizing articles addressing the biological properties of alloplastic grafts, the indications of the lateral window technique, and the clinical success rates of implants placed in previously grafted areas using such materials. The findings demonstrated that hydroxyapatite associated with beta-tricalcium phosphate exhibits favorable osteoconductive characteristics, such as adequate porosity and gradual resorption, while allowing the formation of viable bone within a clinically acceptable timeframe. The combination of these materials eliminates the need for a second surgical site, reduces morbidity, and maintains treatment predictability. It is concluded that the lateral window technique associated with synthetic biomaterials is a safe and effective alternative for patients with maxillary bone atrophy, capable of promoting suitable bone beds for dental implant placement and stabilization, with lower surgical risk and satisfactory clinical outcomes.
Dec 2025 DOI 10.14302/issn.3070-5835.jcpn-25-5939
Tamre SosinaCorresponding author
Objective To assess knowledge, attitude and willingness towards organ donation of nurses in Tibebe-Ghion Specialized Hospital, Bahir Dar, Ethiopia, 2023. Method A hospital based cross-sectional study was conducted from March 1 to May 30, 2023, using a census of all eligible nurses (N=215). Data were collected with a structured questionnaire adapted from validated tools. Binary logistics regression was used to identify factors associated with willingness to donate, with results presented as adjusted odds ratios with 95% confident intervals. Results The overall response rate of this study was 98% (n=206). The mean age was 29.5 (±4.8) years, and 55.8% were male. Overall, 61.7% (95% CI: 54.9-68.5) of nurses had good knowledge, and 45.6% (95% CI: 38.8-52.5) had a favorable attitude. In multivariable analysis, female sex (AOR=3.50, 95% CI: 1.18-3.92, p<0.001) and greater years of experience (AOR=2.15, 95% CI: 1.18-3.92, p=0.012) were independent predictors of willingness. Conclusion While a majority of nurses were willing to donate organs, significant gaps in knowledge and legal awareness persist. Female nurses and those with more experience were more willing to donate. Targeted educational interventions are recommended to address knowledge deficits and foster a more supportive environment for organ donation advocacy.
Dec 2025
Tariku Belay YilkalCorresponding author
The body interacts with endogenous and exogenous molecules through various receptor networks at the cellular and organismal levels by which the different physiological processes of the organ systems get activated. Life could no longer exist without the body’s interaction with these signaling molecules. The number of molecules interacted with a receptor type within the body determines the efficiency of biological processes that would determine the biochemistry and anatomy behind the basic body functions. The dose plays a complex role in multiple physiological processes by modulating the natural processes of the different biological systems. It is always connected to the physiological and anatomical aspects of the biological sciences in which it manifests the biological sensitivity that would determine the efficiency of biological responses of the body systems. There are always physiologic and non-physiologic doses for every compound administered into the biological systems. The does that facilitated the body to manifest that biological sensitivity which has maintained the physiological processes of the body systems was noted as physiologic dose, whereas the dose that has suppressed the biological sensitivity of the body that became inefficient in maintaining the physiological processes of the different biological systems was termed non-physiologic dose. It is important to adjust the dose or dosage based on physical and biological factors such as the efficiency of the different organ systems, body weight, and the timing of the dose triggering a biological response to maintain the natural processes of the body systems. This means that integrated biological data is required in order to be able to identify the physiologic and non physiologic doses for biological or pharmacological use.
Dec 2025
Tariku Belay YilkalCorresponding author
Background Research and drug development industries have multiphase drug screening procedures, which can be debated. As a result, harmful products may still reach for public health service delivery due to vulnerabilities in the process. Main body A wide range of test compounds have delayed manifestation of undesired effect on the study subject, with the time to undesired effects after acute exposure being weeks and months. Acute toxicology in a preclinical trial also has limited clinical value as its lethal dose is the endpoint for a conclusion, and death sometimes occurs after a scheduled period of acute toxicology. Countless resources are wasted, and numerous new drugs are introduced into the pharmaceutical market with assumed safety analysis every year due to vulnerable multi-procedures in preclinical trials. The principal use of collected data from a preclinical trial is to support regulatory categorization and harmful labelling decisions. However, the data can also be used to derive safe use threshold levels, which may lead to the use of unsafe material. The criteria for classification and labelling also differ among countries, sometimes among authorities within the same country. The fundamental concept of toxicology states that ‘all chemical substances are potential poisons depending on the amount and duration of exposure. However, the toxic property of a test compound cannot be created or eliminated by simply the amount administered to study animals. Conclusion All xenobiotics are poisons at any amount with different severity that can be calculated using biological parameters.
Dec 2025
Gebretsadik Bereka SolomonCorresponding author
Background Fast food consumption is the major cause of obesity and overweight in worldwide affecting more than 2 billion people, especially developing countries and low income countries. It can lead to hyperinsulinemia and development of insulin resistance, high energy density, high glycemic index, and fatty acid composition of fast foods may increase the prevalence of obesity and cardiovascular risk factors Objectives The main aim of this study was, to assess fast food consumption and its association with overweight /obesity among undergraduate students of University Hargeisa, Somaliland, 2023. Methods The study was carried out from May 01 to July 20, 2023 at University of Hargeisa using an institutional based cross-sectional study design to among 260 students. The study participants were selected using a simple random sampling technique. A structured questionnaire was prepared based on review literatures and dig out from related studies. The anthropometric data was taken by data collectors to measure weight and height using a stadiometer. Data was entered and checked for errors using EPI-info version 7.1.5.0 and then, data were exported to statistical package for social sciences (SPSS) software version 21 and STATA software version 14 for data processing and analysis. Descriptive statistics such as; frequencies, means and proportion was used for present the findings. A variable with P-values of less than 0.25 in the binary logistic regression analysis was entered into a multivariable logistic regression analysis to identify the independent predictors of stunting. Finally, variable at P-value less than 0.05 in multivariable logistic regression analysis was considered as a statistically significant variable. Results In this study, the majority 235 (90.4%, CI: 86.5- 93.8) of the study participants were fast food consumers. The study revealed that, from the total study participants 46(17.7%),127(48.8%),84(32.3%), 3(1.2%) were underweight, normal, overweight and obese respectively. A chi-square test revealed that there was a significant (p-value=0.058) associations between BMI and fast food consumption among students of University of Hargeisa. On multi-variable logistic regression model educational level of the students (AOR = 12.45 (95% CI: 1.7, 14.6)) and frequency of fruit (AOR = 0.76, 95% CI (0.7, 0.8)) and vegetable consumptions (AOR = 0.51, 95% CI (0.47, 0.575)) were found to be significantly associated with fast food consumptions (p < 0.05). Conclusion In this study, of the total 90.4% number of fast food consumers. A chi-square test revealed that there was a significant (p-value=0.058) associations between BMI and fast food consumption among students of University of Hargeisa. Educational level of the students and frequency of fruit and vegetable consumptions were found to be significantly associated with fast food consumptions. Effort should be made to increase access to fast food-related information and counseling.
Dec 2025 DOI 10.14302/issn.2643-2811.jmbr-25-5731
Mukeredzi InnocentCorresponding author
Background Typhoid fever remains a significant public health issue in Harare City, Zimbabwe, exacerbated by recurrent outbreaks between 2018 and 2020. Key challenges, including inadequate water supply and sanitation infrastructure, high population density, and limited healthcare access, have intensified the disease burden. Understanding the key transmission drivers and assessing the impact of various interventions are essential for informing policy and health strategies. Objectives This study aimed to: 1: To predict future trends in typhoid fever cases Harare City typhoid hot areas. 2: To develop a mathematical model to simulate the spread of typhoid fever incidence under different intervention scenarios and recommend evidence-based strategies for reducing the disease burden in Harare City. Methods A dynamic compartmental SIR-based model, adapted from the Pitzer Vaccine Effectiveness (VE) framework, was employed to simulate disease transmission. This model accounted for both short-cycle (human-to-human) and long-cycle (environmental) transmission pathways. Data from Harare City (2018–2020) were used for model calibration and forecasting, and sensitivity analysis was performed to assess the impact of different intervention levels. Findings The model identified inadequate sanitation, contaminated water sources, and low health- seeking behaviors as primary drivers of typhoid transmission. In the absence of interventions, the model projected a sustained high rate of transmission. However, treatment and WASH interventions could reduce the disease burden by 50–60%, while combined strategies incorporating vaccination and education led to an 80% reduction in cases. Sensitivity analysis indicated that treatment and WASH interventions were particularly impactful at moderate coverage levels. Conclusion Mathematical modeling effectively demonstrated the multifactorial drivers of typhoid fever transmission in Harare. Integrated interventions that combine WASH, vaccination, treatment, and education present the most promising approach for long-term control of the disease. The findings offer a solid, data-driven foundation for public health decision-making and resource allocation.
Dec 2025 DOI 10.14302/issn.2639-3166.jar-24-5295
G. Verzhuk V.Corresponding author
The present study of the reproductive ability of currant and gooseberry hybrids after long-term cryopreservation of pollen in liquid nitrogen is of enormous importance for organizing the conservation of the diversity of this crop. Four distant interspecific hybrids of currant and gooseberry served as objects of the study. The pollen fertilizing ability was studied by pollination of allotetraploid Jošta with pollen of tetraploid hybrids stored for a year at ultra-low temperatures (–196°C) and freshly collected pollen (control pollination). Berry set in 2022, when pollinated with cryopreserved pollen, averaged 56.4% and was higher than in the control pollination (38.2%). In 2023, the number of berries set on average for all cross combinations in the experiment was also quite high (59.6%), but lower than in the pollination control (81.4%), which can be explained by unfavorable weather conditions during pollen collection in the year of establishment (2022). The obtained data specify that pollen of the allotetraploids does not lose its high fertilizing ability during its long-term cryopreservation. Berry setting, average berry weight and seed production are quite high and comparable to pollination with freshly collected pollen (control pollination variant). Seed germination and values of morphometric parameters of seedlings obtained from pollination with cryopreserved and freshly collected pollen in most cases have close values. Cryopreservation of pollen of currant-gooseberry hybrids for a year and more allows to preserve pollen for successful pollination and berry formation and is a reliable way to preserve germplasm.
Dec 2025 DOI 10.14302/issn.2690-6759.jpar-25-5496
Chigozie Divine OnwukaCorresponding author
Intestinal parasitic helminths pose a significant public health burden, particularly among children. This cross-sectional study investigated the prevalence and risk factors of intestinal parasitic helminths among 550 school children aged 4-12 years in Oru-West L.G.A, Imo State, Nigeria. Stool samples were examined using parasitological techniques, and questionnaires were administered to collect data on risk factors. The overall prevalence of intestinal parasitic helminths was 49.1% (270/550), with Ascaris lumbricoides being the most prevalent (30.37%). Multivariate analysis revealed significant associations between intestinal parasitic helminths and lack of hand-washing, insufficient toilet facilities, consumption of unwashed vegetables, and poor environmental sanitation. Males had a significantly higher infection rate than females (P < 0.05). Age-related prevalence was highest among children aged 4-6 (51.85%). Occupational status and educational level of parents were also significant predictors of infection. These findings highlight the need for public health education, provision of basic sanitation facilities, and regular de-worming as preventive measures.
Dec 2025 DOI 10.14302/issn.2691-5014.jphn-25-5577
Gormley MarkCorresponding author
Infants with single ventricle (SV) physiology are at increased risk of undernutrition, which can contribute to adverse outcomes. This is a retrospective case series examining factors associated with undernutrition in patients with SV physiology at one year of age. It includes 56 infants from a single institution who underwent SV palliation between 2003 and 2023. Undernutrition was defined as a weight-for-length z-score (WLZ) below -1, based on World Health Organization (WHO) normative data. Independent variables included surgical interventions, cardiorespiratory factors, and nutritional interventions. Associations between these variables and nutritional status were assessed using Fisher’s exact test. At one year, a total of nine infants (16%) were undernourished. Undernutrition rates significantly declined after 2013 (p=0.02), demonstrating improvements in nutritional outcomes over our study period. Those who used supplemental oxygen or pulmonary medications were undernourished at lower rates. While this difference was not statistically significant, the number of undernourished patients in the cohort may have limited the study’s power. Our findings suggest that early respiratory interventions may provide nutritional benefits in infants with SV physiology.
Dec 2025 DOI 10.14302/issn.2641-4538.jphi-25-5613
de Dieu Harerimana JeanCorresponding author
Background Domestic violence among HIV discordant couples poses significant public health challenges, affecting treatment adherence and HIV transmission risks. This study examined factors contributing to domestic violence among HIV discordant couples in Kicukiro District, Rwanda. Methods A cross-sectional study was conducted among 384 HIV discordant couples from eleven health centers using stratified systematic sampling. Data were collected through structured face-to-face interviews and analyzed using descriptive statistics and bivariate analysis. Results Domestic violence prevalence was 41.1% physical violence, 34.2% sexual coercion, and 52.3% emotional abuse. Key socio-demographic risk factors included female gender (56% vs. 29% males, p<0.001), older age (61% in ≥55 years vs. 32% in 18-24 years, p=0.004), unemployment (55% vs. 34% formal employment, p=0.014), and financial hardship (63% vs. 25% comfortable situations, p=0.002). Behavioral factors included alcohol use (58% vs. 38%, p=0.021), substance abuse (62% vs. 35%, p<0.001), and poor conflict resolution (72% vs. 25%, p<0.001). Contextual factors like hostile HIV disclosure reactions (68% vs. 34%, p<0.001) and HIV-related stigma (60% vs. 35%, p<0.001) significantly increased violence risk. Conclusions Domestic violence among HIV discordant couples is multifactorial, driven by socio-economic, behavioral, and HIV-related factors. Integrated interventions addressing economic empowerment, conflict resolution skills, stigma reduction, and couple-centered counseling are urgently needed.
Dec 2025 DOI 10.14302/issn.2574-4496.jtc-25-5497
Silva FriedaCorresponding author
Our study gathered information on the diagnosis, treatment, and long-term outcome in adult and pediatric Hispanic patients with Well Differentiated Thyroid Cancer. Methods We performed a retrospective review of the clinical and imaging nuclear medicine records of cases of WDTC evaluated and treated in the Nuclear Medicine CLINICc. Evaluation included the clinical PROFILE, histology, radioiodine (RAI) therapies and treatment response, long-term outcome and survival. The data was ASSESED using the 2015 ATA Risk level guidelines and recommendations. Results Three hundred eleven cases were reviewed, 81% females, 19% males, median age of 41 years. Eleven percent (34 patients) of the patients were in the pediatric group and 49% were between 16-45 years. The tumor histology was 60.5% Papillary, 28.2% Papillary-Follicular variant and 11.3% Follicular type. All patients had a total thyroidectomy. A total of 287 (92%) of the patients were treated with RAI. The median RAI dose was 128 mCi. Patients in the low risk group received a dose range of 25-105 mCi, 73 cases in the intermediate RISK group received 106-160mCi and 104 cases in the high-risk group received doses greater than 160 mCi. The overall median cumulative dose was 151 mCi (55-926 mCi). Annual follow up was done in all cases , WITH A median follow-up OF 5-10 years. Residual functioning tissue in the neck was found in 52% of the cases by US and/or RAI imaging. of those, 43% belonged to the low risk group, while 57% were in the intermediate and high-risk groupS. The mean treatment dose received by those with persistent functional thyroid tissue in the neck was 157 mCi. Recurrent disease was found in 15% of the patients, 85% of them belonged to the intermediate and high-risk GROUPS. Forty-seven percent of the patients with recurrent disease had residual disease. Conclusion We believe ablative and/or adjuvant RAI treatment early in the disease is important to decrease residual thyroid tissue and/or residual disease, and to improve disease-free survival. We recommend total thyroid surgery in all tumors above 1 cm, post-operative evaluation with RAI Whole Body (with 123-I or 131-I), planar and SPECT/CT imaging and RAI ablation to remnant tissue. Follow-up post treatment evaluation is also recommended.
Dec 2025 DOI 10.14302/issn.2768-5209.ijen-24-5325
G.W MbauCorresponding author
Strawberry is a commercially important crop which has gained global significance in terms of production and consumption. The strawberry farmers have been faced with economic losses due to attack from arthropod and phytophagus pests. To overcome this challenge, management of pests is important with reduced impact on beneficial organisms and the environment. Use of non-chemical approaches as an alternative to insecticide driven management is highly gaining popularity. Identification of the non-chemical production for management of strawberry pest such as entomopathogenic fungi and botanicals is critical. The need for compatibility of entomopathogenic fungi in crop production techniques with other insecticides to enhance efficacy is required. The interaction between these control agents could be synergistic, additive or even antagonistic. Synergistic interactions usually lead to enhanced effectiveness of the microbial control agents while reducing the adverse effects of the pesticides in combination. In this review a description of the compatibility of entomopathogenic fungus Beauvaria bassiana and botanical neem in strawberry pest management is given. The experiment involved five treatments: Neemraj, Beauvitech, Neemraj and Beauvitech, Ampligo and control. These treatments were allocated in a completely Randomized design in two separate greenhouse setups one with soil and other with pumice. The treatments were replicated four times. The data was subjected to analysis of variance (ANOVA) using the general linear model (GLM) procedure of the statistical analysis system (SAS) program, version 9.1. Tukey’s (HSD) test at P≤ 0.05 was used to separate significant means. The combination of Neemraj and Beauvitech was most effective in the management of pests in both hydroponics and soil grown media. Pest populations were reduced significantly as follows; thrips, Frankliniella spp 2.1, red spider mites Tetranychus species 11.5, tarnished plant bug Lygus species 3.0, there was 0% cricket Gryllus species damage and 0 number strawberry weevil in hydroponics cultures while in soil culture pest mean populations were: thrips 5.6, spider mites Tetranychus species 18.2, strawberry weevil (Otiorhynchus species) 7.0, tarnished plant bug 3.0 and there was 13.8% cricket Gryllus species damage on strawberry plants.
Dec 2025 DOI 10.14302/issn.2694-2275.jzr-25-5455
Saeed Heydaranjad MohammadCorresponding author
Monitoring fish biodiversity and its changes over time and their ecological research is one of the important sources of information in their protection. They can be used to find fish biodiversity at different times, such as the capture and maintenance of whole fish, genetic samples, or the use of scales. In this regard, to check the prepared sample, 10-15 scales were prepared from the area of the lid, dorsal fin, and tail stem. Then, they were treated in 5% potassium solution and settled on a slide using a loop microscope equipped with a camera. Among the examined species, Luciobarbusbraczcephalus, Luciobarbuscapito and Capoetasaadispecies could be distinguished from other species with the highest accuracy. In the genetic studies conducted using the cytochrome oxidase subunit 1 gene, the patterns observed in the neighbor joining genealogical tree were consistent with the differences in the genera and species studied. The results of this investigation show that the origin of species can be determined with more than 50% accuracy using genetic data.
Dec 2025 DOI 10.14302/issn.2690-6759.jpar-25-5576
Markus Bukar BiallahCorresponding author
Background Tick infestations severely impair cattle health and productivity in Nigeria through blood loss, hide damage, and transmission of tick-borne pathogens. Objective This study assessed key risk factors influencing tick infestation and evaluated control methods among Fulani pastoral herds in Plateau State. Methods A cross-sectional survey involving 250 cattle from ten herds was conducted across five Local Government Areas. Tick burden was analyzed against acaricide application methods (pour-on vs. hand-spray), hand-picking frequency, and herd mobility (sedentary vs. migratory). Data were collected via owner interviews and manual tick counts. Statistical analyses were performed using generalized linear models in R software. Results Cattle treated with pour-on acaricides had significantly lower tick burdens compared to those treated via hand-spray (P<0.05). Herds that practiced hand-picking five times weekly had fewer ticks than those hand-picking thrice weekly (P<0.01). Migratory herds recorded significantly lower infestations than sedentary herds (P<0.05). Conclusion Effective tick control requires the integration of optimized acaricide application, frequent manual removaland consideration of herd mobility patterns. Education, capacity building, and policy support are necessary to enhance adoption of effective tick control measures among pastoralists.
Dec 2025 DOI 10.14302/issn.2694-2283.jsem-25-5827
Manaenkova ZarinaCorresponding author
Background Mind–body exercises are frequently used to support well-being during the menopausal transition, but perceived physical and psychological outcomes associated with practices such as the 3D Movement Method have not been quantitatively assessed. Objective To examine associations between characteristics of the 3D Movement Method and women’s self-reported physical and mental improvement during the menopausal transition. Methods Cross-sectional survey data from 330 women aged ≥ 35 years were analyzed using general linear models. Perceived physical progress and mental improvement were each assessed using single-item, 15-point scales. Independent variables included practice frequency, duration of experience, explanation clarity, satisfaction, baseline health status (SF-36 Physical and Mental Component Summary scores), age, and menopausal status. Results The model for physical progress was significant, F(16, 144) = 6.26, p < .001, R² = .41. Greater practice frequency, longer experience, clearer instructional explanations, and higher satisfaction were each independently associated with higher perceived physical progress. The mental improvement model was also significant, F(16, 96) = 2.25, p = .008, R² = .27, identifying satisfaction as the sole significant predictor. Baseline health, age, and menopausal status did not predict outcomes in either model. Conclusions Perceived physical progress was shaped by structured engagement parameters consistent with deliberate-practice principles, whereas perceived mental improvement was primarily linked to subjective satisfaction, a pattern compatible with motivational accounts of engagement. The 3D Movement Method may support women’s health across the menopausal transition when designed to optimize clarity, engagement, and experiential quality.
Nov 2025 DOI 10.14302/issn.2476-1710.jdt-25-5775
A. Kaufman ErinCorresponding author
A number of developmental factors increase risk for adolescent rumination. This particular kind of repetitive negative thinking pattern often begins in the context of familial stressors and parental modeling. Though rumination can be effectively targeted with rumination-focused cognitive behavioral therapy (RF-CBT), it is unknown whether caregiver-child co-rumination (1) affects caregiver views of their child’s psychopathology, (2) or interferes with youth rumination- focused treatment. The present study uses data from a randomized clinical trial of RF-CBT to examine whether caregiver-child co-rumination, or caregivers’ own rumination patterns, are associated with bias in parental perception of their adolescent’s depression symptoms. We also examine if co-rumination scores at baseline moderate rumination scores for youth at treatment termination, and whether treatment effects dampen or decay more significantly post-treatment among youth with higher caregiver-child co-rumination. Youth (N = 76) were randomized to either 10-14 sessions of RF-CBT (n = 38) or treatment as usual (TAU; n = 38) and completed interviews and surveys at pre-treatment baseline, post-treatment, and 3-, 6-, 9-, and 12-month follow up. Results indicate that neither caregiver rumination nor co-rumination scores bias caregivers’ views of their child’s depression symptoms. In terms of reduction in child’s rumination scores, estimated treatment effects were larger for patients with higher baseline co- rumination scores, and there was no statistically significant difference in treatment effect decay over time in high versus low co-rumination groups. Results indicate co-rumination overall does not dampen the effect of RF-CBT, and those experiencing the highest levels of co-rumination may benefit most from treatment.
Nov 2025 DOI 10.14302/issn.2326-0793.jpgr-25-5573
E. Imiruaye OghenetegaCorresponding author
Advancements in proteomic and genomic technologies have transformed molecular biology by enabling comprehensive analysis of biological systems at the molecular level. This literature review explores the evolution, methodologies, and practical applications of key proteomic and genomic techniques. In proteomics, tools such as two-dimensional electrophoresis, mass spectrometry, Western blotting, Edman degradation, and functional protein microarrays have facilitated high-throughput protein identification, post-translational modification analysis, and biomarker discovery. Similarly, genomic methodologies like PCR, recombinant DNA technology, gel electrophoresis, and Southern blotting have revolutionized gene detection, manipulation, and expression profiling. The review also highlights the interdisciplinary impact of these technologies across clinical diagnostics, oncology, autoimmune disorders, infectious disease surveillance, cardiovascular research, and personalized nutrition. Integrative approaches combining proteomics and genomics are enabling the discovery of novel therapeutic targets, improving disease classification, and advancing precision medicine. Despite current limitations, such as the absence of amplification techniques for proteins and challenges in data interpretation, ongoing innovations promise to bridge these gaps. This synthesis underscores the pivotal role of molecular techniques in deepening our understanding of human biology and accelerating biomedical advancements for improved healthcare outcomes.
Nov 2025
Ryan AlexanderCorresponding author
Frequency neurofeedback (FNF) is a biofeedback method that targets frequencies between 1 and 50 Hz. The efficacy of FNF with autism has been labeled ‘probably efficacious’ in literature reviews in the last decade, despite new research pointing towards a higher standard. The aim of this review was to analyze key features of these studies, with a goal of determining the efficacy standard of FNF on autism and establishing a research direction. Electronic databases and literature reviews were used to collect a total of ten randomized and/or matched controlled trials. FNF reaches a Level 4 efficacy standard, with an impact on a broad range of factors including core autistic traits, social communication, emotional regulation, cognitive flexibility, executive function, behaviors of concern, attention, metabolic or thermal activity, and EEG e.g. decreased absolute power, mu rhythm, coherence and hyperconnectivity. Current evidence generalizes to male children, up to 18 years, with a low-average or higher intellectual functioning, with autism as the only diagnosis. A meta-analysis suggests a large superior effect when compared to wait list controls. Current research does not meet the higher efficacy standards outlined by Arns et al. (2020). Small samples plague most studies, and the maintenance of improvements post-training are yet to be assessed adequately. Eight recommendations are made.
Nov 2025 DOI 10.14302/issn.2694-2283.jsem-25-5730
A. Heinrich EmilyCorresponding author
Objective The goal of this systematic review is to identify common themes amongst acute spinal cord injuries (SCI) in equestrian athletes. Design A systematic review was performed using PubMed, CINAHL Plus with Full Text (EBSCO), Cochrane Library, and Scopus with pre-determined MESH terms. The initial search returned 354 studies. Following PRISMA guidelines, 13 articles were included. Exclusion criteria included injuries to the horse only, non-English language, cauda equina, and case reports. Data extraction was completed, and common findings were evaluated narratively due to heterogeneity of data. Results Seven manuscripts listed specific horse-related activities that caused SCI, with fall from horse as the highest percentage of injury. Nine articles identified the injury region, with large variations and no clear dominant area of injury. Five articles identified the length of hospital stay with ranges from 1 to 82 days. Four articles looked at the association of professional vs non-professional riders. Only two articles evaluated helmet use at time of injury, with one article showing 81% of those with SCI used helmets, and the other showing only 35.6% utilized this safety measure. Conclusion SCI in equestrian athletes can have a wide presentation, with large variation on location of injury, length of stay, and other factors. However, non-professional riders are at greater risk of SCI and individuals are more likely to sustain injury from a fall from a horse rather than a kick or another modality of injury. Future study can elicit presenting symptoms, types of surgical intervention used, and long-term outcomes and recovery.
Nov 2025 DOI 10.14302/issn.2693-1176.ijgh-25-5745
Poole JolyonCorresponding author
Background Healthcare worker stress, anxiety, burnout, and trauma have been widely documented across global healthcare systems. Staff in maternal and neonatal units frequently encounter emotionally distressing events and work under high pressure with limited resources. In Zambia, despite some gains in reducing maternal and neonatal mortality, fatality rates remain above national targets, exposing staff to repeated occupational trauma. Objective(s) This study aimed to assess the psychological well-being of staff in maternal and neonatal intensive care units, identify specific needs and stressors, and develop practical recommendations to improve resilience and support staff mental health. Methods A mixed-methods cross-sectional study was conducted at Ndola Teaching Hospital (NTH) and Arthur Davison Children's Hospital (ADCH), two major tertiary hospitals in Zambia. Data were collected over four days in February 2025. The study included 87 (out of 161) healthcare professionals, including nurses, midwives, and doctors. The Goldberg Anxiety and Depression Scale (GADS) and the Professional Quality of Life Scale Version 5 (ProQOL 5) were used to collect quantitative data, which were analysed using descriptive statistics and 95% confidence intervals (CI). Open-ended survey questions provided qualitative data, which were analysed using thematic analysis. Ethical approval was granted by the hospital ethics committee. Results High rates of clinical symptoms were observed. The overall prevalence of symptoms in the past 30 days was: anxiety (62%), depression (68%), burnout (50%), and secondary traumatic stress (46%). Junior doctors demonstrated the highest rates of depression (83%) and burnout (67%). The obstetrics and gynaecology and labour wards had the highest rates of secondary traumatic stress symptoms. Key qualitative themes identified were professional stressors, team and leadership issues, and the emotional burden of the work. Conclusion This study highlights an urgent need for both psychological and organizational support for maternal and neonatal healthcare staff in Zambia. The findings indicate that burnout and secondary traumatic stress are highly prevalent, particularly among junior doctors and those in high-risk wards. Targeted interventions at both systemic and individual levels are necessary to protect the well-being of healthcare workers and improve patient outcomes.
Oct 2025 DOI 10.14302/issn.2474-7785.jarh-25-5784
Marks RayCorresponding author
This mini review examines the potential efficacy of applying electromagnetic field therapy for purposes of reducing osteoarthritis pain and other related disease features such as frailty, muscle sarcopenia, obesity, bone loss and fragility, and cartilage derangements and degradation in the older adult. Based on selected English language literature published largely on PUBMED between January 2000 and October 2025, papers describing the impact and potential synthetic and disease modifying impact of electromagnetic stimuli are explored. These data reveal a high degree of promise in fostering joint tissue reparative efficacy trends post electromagnetic stimulation. Its usage may allay the extent of the disease and its degree of disablement, while facilitating function.
Oct 2025 DOI 10.14302/issn.2329-9487.jhc-25-5726
Okwunu Abah RoseCorresponding author
Background Hypertension in adolescents has been shown to tracks into adulthood, as well as causing premature cardiovascular and renal diseases. Objectives To determine the prevalence of elevated blood pressure and hypertension among adolescents of ages 10-19 years old attending secondary schools in Benue South, Nigeria; characterise their demographics and determine factors associated with the development of high blood pressure. Materials and Methods A cross-sectional descriptive study of secondary school adolescents selected through multistage sampling from across three Local Government Areas of Benue South, Nigeria. All the participants had their blood pressure measured using mercury sphygmomanometer and their height and weight taken for the calculation of their body mass index. A dipstick urinalysis with was carried out on their urine samples. Data analysis was with SPSS version 25. Results Atotal of 260 adolescents were studied, males were 132 (50.8%) and the mean age was 13.65 ±2.01 years. The prevalence of elevated blood pressure and hypertension was 5.4% and 2.3% respectively. Fifteen females (75.0%) had elevated blood pressure/hypertension as against five males (25%) and it was statistically significant. Adolescents in mid-adolescence age (60.0%) and lower social class (70.0%) had higher rate of high blood pressure. Significant proteinuria (+) was found among eleven (55.0%) of those with high blood pressure. Conclusion The prevalence of elevated blood pressure and hypertension among the adolescents was 5.4% and 2.3% respectively; being female, within mid-adolescence age and from lower social class are associated factors. Recommendation Regular blood pressure measurement should be part of school health programme.
Oct 2025 DOI 10.14302/issn.2693-1176.ijgh-25-5626
Kankindi PriscillieCorresponding author
Background Masculinity remains a dominant phenomenon in the social construction and performance of male roles in society, influencing economic participation, access to essential services, and decision-making at household levels. Research focusing on women's empowerment has been extensively done, with little focus on how masculine support from men impacts the well- being of married women. This study examined how married women perceive male support in the context of economic, emotional, and physical support in Luwero district, Uganda. Methods This was an exploratory qualitative study conducted among married women aged 18 to 49 years. Key informant interviews were conducted with community women aged 30 to 40 years, and village health teams aged 30 to 40 years. The study participants were purposively selected based on the inclusion criteria of the study. Data were analysed using content analysis and the findings were presented using themes/sub-themes along with participant quotes. Results We interviewed married women aged 18 to 49 years old, with the majority falling in the age category of 30 to 39 years (59.1%) and were married for over 6 to 9 years (45.5%). Concerning the key informants, 2 VHTs were aged between 30 to 39 years (66.7%), and the women leaders were aged between 30 to 40 years (60%). About male support among women, nine subthemes emerged, including low engagement in family affairs, lack of financial support and cultural traditions, women’s insecurity, emotional neglect, women as providers of emotional support, lack of emotional responsiveness, emotional support driven by institutional policy, shared domestic responsibilities, and lack of physical presence during sickness. Generally, male support towards women was found to be lacking. Conclusion Male support among married women remains insufficient, contributing to emotional strain and unequally distributed responsibilities. Strengthening community awareness and engaging men through tailored programs can foster a more supportive domestic environment.
Oct 2025 DOI 10.14302/issn.2693-1176.ijgh-25-5729
Collins Adeyanju GbadeboCorresponding author
Background In sub-Saharan Africa, where many countries continue to experience high burdens of vaccine-preventable diseases, increasing immunization access have been a priority for the governments and international organizations such as Gavi, the Vaccine Alliance. Over 40 Gavi-supported African countries have been impacted, with 364 million children reached and over US$5.7 billion disbursed, averting over 8.9 million child deaths. Despite this progress, the African region has struggled with immunization coverage due to various factors. Nevertheless, some African countries are transitioning out of Gavi support due to economic growth. However, many require strong political will to increase their expenditure on immunization. This study therefore aims to understand the factors influencing immunization performance and its relationship to public expenditure. Methods Data on 37 Gavi-eligible sub-Saharan African countries between 2006 and 2019 was obtained from the World Bank’s World Development Indicators, the WHO and UNICEF Joint Reporting Form and the Transparency International’s Corruption Perception Index. Descriptive immunization and health expenditure were analyzed using a panel regression of variables. DPT3 was used as an indicator of immunization uptake. The indicator for public expenditure on immunization per child was based on government spending on immunization divided by the number of children in the birth cohort. Results The average gross national income increased from US$639 to US$1,192 per capita, while government spending on immunization increased from US$1.7 to about US$4.5 per child. The findings show that there is a correlation between improved immunization financing, increased gross national income, reduced corruption, and improved immunization coverage. However, performance declines beyond a certain threshold when gross national income per capita increases. In addition, an English-speaking country effect was observed. Conclusions While improved immunization financing increases immunization coverage and constitutes an advocacy talking point, there is a need to understand why an increase in gross national income per capita does not translate into an improved immunization coverage. Key highlights Increasing national spending on immunization drives up the uptake of childhood vaccines. There is a threshold beyond which immunization coverage falls despite increased GNI. Controlling corruption increases immunization coverage tendency. French- and English-speaking countries’ immunization coverage differs. Immunization and health system financing have separate outcomes.
Sep 2025 DOI 10.14302/issn.2768-0207.jbr-25-5706
Nakamura YusukeCorresponding author
Artificial Intelligence (AI) is emerging as a transformative force across many sectors, with healthcare representing both one of the most promising and most challenging areas of application. This review summarizes current and future applications of AI in healthcare, focusing on its potential to improve diagnosis, therapy, chronic disease management, and overall patient care, while also alleviating physicians’ workload. Recent literature demonstrates that AI systems can reduce diagnostic errors/delays by mitigating cognitive biases, support imaging and pathology through improved accuracy and speed, and prevent prescribing errors by integrating pharmacogenomic and clinical data into decision-support systems. In chronic disease management, AI-powered wearable devices enable continuous monitoring and early detection of conditions such as atrial fibrillation, thereby reducing the risk of stroke and long-term disability, particularly in elderly people. Therapeutic applications include AI-driven drug discovery, personalized oncology, and tailored medicine that integrates multi-omics and lifestyle data. Beyond direct medical intervention, AI contributes by automating routine tasks, optimizing workflows, and facilitating greater patient–clinician interaction. Despite these benefits, significant challenges remain, including issues of data quality, privacy, security, equity, and the need for transparency and trust in “black box” systems. Looking ahead, the integration of multimodal data, digital twins, and robotics is expected to advance more comprehensive, equitable, and human-centered care. We conclude that, when applied ethically and responsibly, AI should not replace clinicians but rather serve as a powerful partner that enhances medicine by restoring empathy and humanity.
Sep 2025 DOI 10.14302/issn.2643-2811.jmbr-25-5688
Dahlmann NicolausCorresponding author
Obesity is associated with functional limitations in muscle performance. The true effect of obesity on skeletal muscle mass, including any interactions with aging effects, remains to be elucidated. The present study investigated the impact of obesity on the stimulation of muscle growth, based on a new model of body composition. A dataset of 44 men and 64 women was analysed. Body weight (Wt), body height (Ht), hand circumference (HdC) and waist circumference (WC) were measured. Processed by the Dahlmann-Body-Analysis (DBA) system, a new model of body composition, the increase of skeletal muscle mass (ΔSMM) compared to the individual reference weight was calculated. Muscle mass data derived by the DBA model are compared with DXA-derived predictive equations of studies representing different countries and ethnicities estimating the appendicular skeletal muscle mass. Means of these groups are tested by ANOVA. Age ranged from 18 to 72 years. All subjects had a BMI ≥ 29.7 (kg/m²). The mean values of ΔSMM as an estimate of muscle mass gain calculated by the DBA-system were 11.8 ±3.6 kg for men and 8.9 ±2.6 kg for women, respectively, demonstrating a linear, significantly rising relationship with BMI (ß > 0, p<0.001). The study population did not show a decrease in muscle mass with age in either men or women up to an age of 65 years. The results suggest that the present model has satisfactory prediction qualities to detect an increase in skeletal muscle mass associated with a growing burden of body fat.
Aug 2025 DOI 10.14302/issn.3070-1937.ijbt-25-5540
Harry Fon MbachamCorresponding author
The rising need for structured and efficient blood transfusion services in low-resource settings has driven the adoption of collaborative blood transfusion management systems (CBTMS). This study explores the functionality and impact of the Cornerstone University Blood Management System version 1.0 (CUBMS vs 1.0) in Cameroon. This study was an exploratory research design which used a system interface analysis, comparative case reviews from four countries, and literature synthesis, to reveal that CUBMS improves accessibility, data management, inventory control, emergency responsiveness, and community engagement. Despite infrastructural challenges in rural regions, the system can enhance efficiency, transparency, and safety in blood services. The success of CBTMS in Cameroon is linked to digital infrastructure, training, and culturally relevant community engagement. The Ministry of Public Health of Cameroon should prioritize the nationwide implementation of CBTMS, ensuring consistency in digital health tools.
Aug 2025
Toomey PaulCorresponding author
Background This study was undertaken to delineate the most predictive pattern at presentation for patients with non-metastatic pancreatic cancer compared to patients with metastatic pancreatic cancer who present to a medium sized hospital. Methods Data were collected at a medium sized hospital from 2009-2014 for patients with newly diagnosed pancreatic adenocarcinoma. Laboratory values, CT scans, pathology reports and ERCP results were obtained. Data are presented as mean (median +/- standard deviation). Results Fifty-two patients met the criteria for inclusion and were clinically diagnosed with pancreatic cancer. The median age was 71 years old. CEA levels for metastatic pancreatic cancer were 107.9 (20.6 +/- 166.7) ng/dl and 9 (6 +/- 11.6) ng/dl for non-metastatic cancer (P-value<0.05). Bilirubin levels for metastatic pancreatic cancer were 4.1 (0.7 +/- 6.6) mg/dl and 10.3 (10.4 +/- 8.1) mg/dl for non-metastatic cancer (p=0.009). CA19-9 levels for metastatic pancreatic cancer were 37,529 (644 +/- 88,352) U/ml and 5,150 (668 +/- 16,985) U/ml for non-metastatic cancer. Conclusion Elevated total bilirubin alongside low CEA appears to be a stronger predictor of non-metastatic disease at presentation compared to CA 19-9 alone.
Aug 2025 DOI 10.14302/issn.3066-8042.jac-25-5652
Amiri DavoudCorresponding author
Background Attention-deficit/hyperactivity disorder (ADHD) in adulthood is increasingly recognized not only as a psychiatric condition but also as a trait with behavioral and occupational implications—particularly in high-stakes, fast-paced financial environments. Traits such as impulsivity, sensation seeking, and altered reward sensitivity may influence decision-making among individuals engaged in stock trading or high-risk investment professions. Objective This systematic review and meta-analytic synthesis aims to investigate the relationship between ADHD, impulsivity, gender differences, and financial risk behavior, with a particular focus on decision-making outcomes in real or simulated trading contexts. Methods Seventeen peer-reviewed studies published between 2008 and 2025 were included. Studies employed behavioral experiments, fMRI paradigms, neurochemical analysis (e.g., glutamate levels), and ecological financial assessments to examine impulsive traits and investment behaviors among adults with and without ADHD. Both clinical samples and occupational cohorts (e.g., brokers, retail investors) were analyzed. The analysis followed PRISMA 2020 guidelines. Results ADHD symptoms—particularly impulsivity and reward hypersensitivity—were associated with increased delay discounting, higher risk-taking, and diminished cognitive control in financial tasks. Neuroimaging data revealed hypoactivation in prefrontal control regions and hyperactivation in reward-related circuits (e.g., ventral striatum). Gender-stratified analyses showed that males with ADHD displayed stronger preference for immediate rewards, higher portfolio turnover, and greater volatility. Preliminary evidence also suggests an overrepresentation of ADHD traits in high-frequency trading roles. Conclusion ADHD-related impulsivity significantly modulates financial risk behavior, particularly in high-stakes and fast-paced contexts such as trading. A convergence of behavioral, neurobiological, and ecological findings suggests that males with ADHD are disproportionately prone to rapid, high-risk financial decisions, whereas females may demonstrate greater regulatory control. These insights underscore the need for gender-sensitive interventions, occupational screening, and tailored psychoeducation. As financial environments become increasingly automated and fast-paced, understanding the neurocognitive vulnerabilities of individuals with ADHD may not only protect personal outcomes but also enhance systemic financial stability.
Aug 2025 DOI 10.14302/issn.2474-7785.jarh-25-5659
Marks RayCorresponding author
Background Older adults with disabling osteoarthritis may be severely impacted by negative emotions and pain, especially if they feel isolated. Review Aims 1) To summarize the research base concerning the presence of depression in older adults suffering from osteoarthritis; 2) To examine the degree to which mitigating loneliness is desirable in this regard and may be helped by one of the many emergent robotic social devices offering companionship; and 3) To provide directives for professionals who work or are likely to work with this population in the future. Methods Reviewed were current publications detailing some aspect of osteoarthritis in the older adult, depression, emergent loneliness and social isolation, and the role and impact of robotic personal ‘friends’ in this realm. Results Collectively, these data reveal efforts to reduce and mitigate different degrees of depression in older adult osteoarthritis cases are needed and that social robots may help quell isolation. Implication Those older adults with osteoarthritis suffering from depression and emergent loneliness and social isolation may benefit from robotic human or pet like contacts and interactions regardless of cause and overall health status, but the key is still loneliness prevention.
Aug 2025 DOI 10.14302/issn.3070-1937.ijbt-25-5408
Taher Hojjati MohammadCorresponding author
Background and Objectives Platelets are small, anucleate blood cells produced in the bone marrow, primarily involved in blood coagulation. Platelet concentrate is a vital blood product with extensive applications. However, its short lifespan and limited donor availability pose global challenges. This study aimed to follow the trend of platelets 5 during days of storage. Material and Methods We studied on 40 platelet bags and analyzed glucose levels, lactate dehydrogenase (LDH), bacterial culture, and apoptosis using flow cytometry with Annexin V-PI over three consecutive days (first, third, and fifth) post-blood collection. Data were analyzed using SPSS. Results No significant correlations were found between age, blood group, or gender and the variables studied. No bacterial growth was detected. Glucose levels decreased significantly from day 1 (382 mg/dl) to day 5 (298 mg/dl). The average platelet apoptosis increased significantly from 3.65% on day 1 to 9.06% on day 5. Significant correlations were observed between glucose levels and apoptosis on days 3 (p<0.05) and 5 (p<0.01). No correlation found between LDH and apoptosis or necrosis, although a significant relationship between necrosis and apoptosis was noted on day 5 (p=0.003). Conclusion These findings suggest that while demographic factors do not influence the studied variables, the significant decrease in glucose levels correlates with increased platelet apoptosis over time, highlighting potential metabolic interactions that warrant further investigation. Highlights 1. The study revealed subtle variations in metabolic markers related to donor demographics, particularly gender and age. Understanding these differences can inform targeted donor selection strategies to optimize platelet quality. 2. A significant negative correlation was found between glucose levels and apoptosis rates, indicating that as glucose decreases, platelet viability declines. This relationship highlights the need for careful monitoring of glucose levels during storage to maintain platelet function. 3. Fluctuations in lactate dehydrogenase (LDH) levels were correlated with increasing rates of apoptosis, suggesting that LDH could serve as a valuable biomarker for assessing platelet quality throughout the storage period. This finding could lead to improved storage protocols and enhanced transfusion safety.
Aug 2025 DOI 10.14302/issn.2693-1176.ijgh-25-5609
Kankindi PriscillieCorresponding author
Economic masculinity support is paramount in promoting women’s well-being through numerous ways, including enhancing access to healthcare, education, and financial freedom, hence fostering equitable distribution of household responsibilities. However, studies examining the relationship between economic masculinity support and women’s well-being have not been well established in existing research. This study evaluated the relationship between economic masculinity support and the well-being of married women in Luwero district, Uganda. This Cross-Sectional study was conducted among 382 married women aged 18 to 50 years of age, from selected villages in Luwero district. The outcome variable, well-being, was assessed using the Gender Empowerment Measure (GEM). Data were analyzed using the Pearson correlation coefficient and linear regression to ascertain the relationship between economic masculinity support and the well-being of women. The findings show a moderate positive association between economic masculinity support and women's well-being (r = 0.55, p < 0.0001). Regression analysis indicated that economic masculinity support had a significant predictive influence (β = 0.42, p < 0.01) on women’s well-being, accounting for approximately 30% of the variance in well-being outcomes (Adjusted R² = 0.30). Linking economic masculinity supports improved access to essential resources. These results highlight the crucial role of economic support in enhancing women’s welfare, while also emphasizing the need to address socio-cultural barriers to achieve lasting empowerment. The study underscores the significant role of economic masculinity in promoting married women’s well-being. Transforming economic masculinity into a framework of mutual support is essential for advancing gender equity and safeguarding women’s well-being globally
Jul 2025 DOI 10.14302/issn.2766-8681.jcsr-25-5618
Isea RaulCorresponding author
Humanity is persistently threatened by global pandemics- exemplified by the Black plague, the Spanish flu, and COVID-19, which reveal a continual absence of concern in real-time prevention. To forecast biological threats in the future and spur proactive human response, the term Global Biological Consciousness (GBC) is introduced.GBC requires an Extended Bioethics, a dynamic ethical framework for conscious management mediated by GBC. This perspective will enable preventive actions and will seek global biological resilience through the algorithmic responsibility of AI and systemic justice, as will be explained in the work. The GBC, through Extended Bioethics, will provide an ability to analyze biological data as it occurs using AI and quantum computing, expect outbreaks before they happen and attenuate their effects, here creates a new ethical contract for all humankind as they co-exist in a biological world.
Jul 2025 DOI 10.14302/issn.2379-8572.joa-25-5592
Zakariya Yahya Al Riyami ShadenCorresponding author
Objective The repair of the tympanic membrane has been attempted with large variety of synthetic, homologous and autologous tissue; however, temporalis fascia and cartilage-perichondrium are used most commonly today. Study Design This is a prospective study of patients confirmed to have CSOM and operated during the years of 2012-2013 at Al Nahdha Hospital, Muscat, Sultanate of Oman. The patients were followed up postoperatively at which we compared the graft success rate and level of hearing improvement. Setting ENT clinic at Al Nahda hospital Subjects Patients who presented to the ENT clinic at Al Nahda hospital, operated in the period between 2012 and 2013, diagnosed as CSOM and meeting our inclusion criteria. Methods We compared the outcome of the repair of the tympanic membrane perforation using temporalis fascia graft versus cartilage perichondrium grafts. Results 100% of the cartilage-perichondrium group showed a successful graft uptake in comparison to 98.9% in the temporalis fascia. Our data did not show significant differences in the average air bone gap change in both groups. Conclusion Both cartilage-perichondrium and temporalis fascia provide viable autograft material. Both achieve comparable and excellent graft uptake. Completion of our study is needed to study the hearing restoration in both groups.
Jul 2025 DOI 10.14302/issn.2577-137X.ji-25-5581
Muthee Waweru EdmondCorresponding author
Coronavirus Disease 2019 (COVID-19) placed significant pressure on global health systems, necessitating rapid and widespread immunization, especially among healthcare workers (HCWs). Despite being prioritized in immunization programs, variations in vaccine uptake among HCWs have been reported across different settings. This study aimed to investigate the predictors of COVID-19 vaccine uptake among HCWs in Kiambu County, Kenya. An analytical cross-sectional study design was employed, involving 112 HCWs sampled using stratified random sampling from Level 2 to Level 5 healthcare facilities. Data were collected through a pre-tested and validated 18-item questionnaire and analyzed using SPSS version 29.0. Statistical methods included descriptive analysis, chi-square tests, logistic regression, and ANOVA. The overall COVID-19 vaccine uptake was 88.9%. Significant predictors of uptake included age (p = 0.048), cadre (p = 0.015), and facility level (p = 0.031). Knowledge of COVID-19 vaccines emerged as the strongest predictor, with HCWs demonstrating good-to-excellent knowledge being 14.97 times more likely to be vaccinated (p < 0.001). Confidence in vaccine safety and effectiveness was also significantly associated with uptake (p < 0.001). Uptake was highest in Level 5 hospitals and lowest in dispensaries. The study reveals high vaccine uptake among HCWs in Kiambu County, but disparities persist due to individual and systemic factors. Strengthening vaccine education, institutional support, and deploying mobile vaccine education units in lower-level facilities could help close these gaps, offering practical strategies for improving HCW vaccine coverage in Kenya and other low- and middle-income countries.
Jun 2025 DOI 10.14302/issn.2324-7339.jcrhap-25-5559
Gamba PerryCorresponding author
Background HIV status disclosure is a complex process influenced by multiple factors beyond health system support. Understanding these factors is essential for developing comprehensive interventions to promote disclosure and improve HIV prevention and care outcomes. Methods A descriptive cross-sectional study was conducted in 10 health facilities offering comprehensive HIV/AIDS care in Mukono district, Uganda. Data was collected from 317 clients through interview-guided questionnaires. Data was entered using EPI data and analyzed using SPSS version 16, including logistic regression to identify factors associated with disclosure. Results Multiple factors influenced HIV status disclosure. Individual factors included knowledge about HIV (OR=2.34, 95% CI: 1.45-3.78), self-efficacy (OR=3.12, 95% CI: 1.87-5.21), and psychological readiness (OR=2.89, 95% CI: 1.76-4.75). Relationship factors included relationship quality (OR=3.56, 95% CI: 2.13-5.94), communication patterns (OR=2.78, 95% CI: 1.65-4.69), and anticipated partner reaction (OR=4.23, 95% CI: 2.54-7.05). Community factors included perceived stigma (OR=0.34, 95% CI: 0.21-0.56), cultural norms (OR=0.45, 95% CI: 0.27-0.75), and religious beliefs (OR=1.87, 95% CI: 1.12-3.14). Structural factors included economic dependence (OR=0.38, 95% CI: 0.23-0.63) and access to support services (OR=2.45, 95% CI: 1.47-4.08). Conclusions HIV status disclosure is influenced by a complex interplay of individual, relationship, community, and structural factors. Effective interventions to promote disclosure must address these multiple levels of influence, going beyond health system support to create enabling environments for disclosure at the individual, relationship, community, and structural levels.
May 2025 DOI 10.14302/issn.2639-3166.jar-25-5495
Mekonnen Adare ZenebeCorresponding author
Enset (Ensete ventricosum) is a vital food security crop cultivated in South and South-western parts of Ethiopia. However, enset production and the farming families have been threatened by Xanthomonas wilt and its spread in the farming system. Thus, this study was conducted to investigate the soil fertility and plant management practices association on the incidence of Enset Xanthomonas wilt. Data on soils fertility and diseases from enset based farming clustered into inner, outer and outfield farm zone were sampled and surveyed. The result indicated that soil chemical properties significantly (p≤0.05) varied from inner to outfield farm zone. Significantly maximum nutrients store revealed in inner enset farm zones. Disease incidence reduced from inner to the outfield enset farm zone. Disease prevalence and disease incidence scored 28.5% and 11.6%, respectively depending on altitude and genotypes. Soil fertility levels in the enset inner and outfield plots were varied purposely to cultivate enset products as kocho, bulla or amicho (cooking type). The variations in soil fertility and Xanthomonas wilt incidence was associated with management practices applied for desired enset products. Therefore, management practices in enset based farming, soil fertility and location of enset planting zones found to be major indicators for disease incidence addressing to device control interventions.
Apr 2025 DOI 10.14302/issn.2379-7835.ijn-25-5463
Fokou ElieCorresponding author
Iron deficiency is a major public health problem worldwide. It affects a significant proportion of the population, and is responsible for around 50% of anemia cases worldwide. Cameroon in general and Lekie Division in particular, is very highlyaffected by this problem. However, early detection of the problem can prevent the fatalities associated to it. The objective of this study was to provide up-to-date, detailed data on the markers of iron status in these populations, so that treatment can be better targeted. A two-month cross-sectional study was conducted in the Lekie Division in collaboration with local health centres in both urban and rural areas. The study sample consisted of 361 participants of all age groups and sexes. A questionnaire was issued to obtain information of the participants socio-demographic status, then 3 to 5ml of blood were collected and a number of markers of the participants iron status were studied. Of all the hematological markers studied, hemoglobin concentration in the study population was below normal in both men and women. Biochemical markers were good for all socio-demographic parameters. The mean values of biochemical and hematological markers in the population of the Lekie Division were good for all socio-demographic parameters, with the exception of hemoglobin concentration, which remains critical, requiring particular attention in this locality, but above all urgent intervention lest the situation aggravates further.
Mar 2025 DOI 10.14302/issn.2638-4469.japb-25-5395
Divakar ChennamsettiCorresponding author
Plant leaf diseases pose significant threats to crop yield and agricultural sustainability, making early and accurate detection crucial for effective disease management. In current years, deep neural network (DNN) techniques have shown remarkable potential in the field of image classification, including plant disease detection. The study aims to investigate the performance of two popular deep learning architectures, namely, VGG16 and InceptionResNetV2, for the detection of tomato plant leaf disease. The proposed methodology involves acquiring a diverse dataset comprising high-resolution images of healthy and diseased leaves from the target crops. Preprocessing techniques such as image augmentation and normalization are applied to enhance the generalization ability of the models and mitigate overfitting. Transfer learning is employed to initialize the deep learning architectures with weights pre-trained on large-scale image datasets to accelerate convergence and improve the models' performance in limited data scenarios. To evaluate performance of proposed networks various metrics such as validation and test accuracies, precision and recall, F1 score, and the area under the curve (AUC) are considered. From the investigations, the classification accuracy of the finest architectures is as follows: 99.8 percent for VGG16 and 99.4 percent for InceptionResNetV2 on Corn Leaves. The results suggest that the models developed during the investigation phase to identify the leaf disease were superior to any existing Deep Neural Networks (DNNs).
Mar 2025 DOI 10.14302/issn.2644-1101.jhp-24-5387
K. Shin HannahCorresponding author
The formation of narratives while listening to music is seen across cultures, but narrative perception in Asian Americans who have bicultural identities is not well understood. This study analyzed the potential effect of cultural identity on adolescents’ ability to form narratives with East Asian music. Two groups of adolescents (n=42), Asian American (n=28) and Non-Asian American (n=14), listened to three music excerpts with varying degrees of Asian and Western influences. The most Asian-influenced excerpt was a Gugak Korean traditional piece titled T’ungae sanjo, performed on traditional Korean folk instruments and creating a distinctly East Asian sound. The Mixed excerpt, containing both Western and Asian influences, was from Tan Dun’s Eight Memories in Watercolor. It contained a Chinese folk melody while being performed on a Western instrument. Finally, the most Western-influenced excerpt was from Toru Takemitsu’s Rain Tree Sketch. The piece contained octatonicism, a musical technique prominent in modern Western composers’ works. Participants completed a survey containing a free response question where they described their imagined narratives and a survey containing 4 questions measuring narrative engagement. Chi-square tests, t-tests, and reflexive thematic analysis were used to yield the results from the data collected. Results demonstrated that the extent of narrativization was dependent on enculturation. Asian Americans, with their bicultural identities, demonstrated consistent narrativization across all excerpts. In contrast, non-Asian Americans narrativized significantly less for the traditional Asian excerpt. Within the free responses, both cohorts identified similar themes with the Western-influenced music, as they have had overlapping exposure to Western culture leading to shared thought patterns. However, there was substantial thematic variability between cohorts with the Asian-influenced music, as the two cohorts had different levels of exposure to Asian culture. This study thus reinforces the notion that enculturation has a profound effect on narrativization in music, demonstrated through Asian American adolescents’ abilities to narrativize to music containing both Asian and Western roots.
Feb 2025 DOI 10.14302/issn.2641-4538.jphi-25-5420
Nagaraj NitashaCorresponding author
South Asian women in the United States face disproportionate health challenges, including higher rates of intimate partner violence as well as higher rates of Type 2 diabetes and gestational diabetes compared to other racial and ethnic groups. This cross-sectional study examines the association between intimate partner violence (psychological, physical, and sexual) and the diagnosis of gestational diabetes and type 2 diabetes. A web-based survey recruited 2,634 South Asian women in the U.S., collecting data on socio-demographics, intimate partner violence experiences, stress levels, and diabetes diagnosis. Logistic regression models adjusted for significant sociodemographic factors revealed that women with a history of intimate partner violence were 5.82 significantly more likely to report a type 2 diabetes diagnosis and 3.91 more likely to report a gestational diabetes diagnosis. Furthermore, stress as measured by the perceived stress scale, was also higher among women with intimate partner violence, potentially moderating the relationship between intimate partner violence and adverse health outcomes through cortisol dysregulation. Despite high levels of educational attainment and employment, the prevalence of intimate partner violence was alarmingly high (66.7%), highlighting its pervasive impact on socioeconomic strata. These findings underscore the urgent need for culturally tailored interventions addressing intimate partner violence and its health consequences within South Asian communities. Further research is warranted to elucidate causal pathways and inform integrated public health strategies to mitigate disparities in chronic disease and intimate partner violence-related health outcomes.
Feb 2025 DOI 10.14302/issn.2326-0793.jpgr-25-5405
Ho Ming-FenCorresponding author
Alcohol use disorder (AUD) is the most prevalent substance use disorder. Excessive alcohol consumption leads to a range of health issues. We set out to identify inflammatory markers linked to alcohol consumption, which might ultimately offer novel insight into genetic underpinnings and have implications for alcohol-associated disease. Alcohol consumption and blood-based multi-omics data were collected by The Mayo Clinic Center for Individualized Treatment of Alcohol Dependence study. Plasma samples from patients with AUD were used for proteomics analysis using the OLINK “Explore Inflammation” panel (n=410). Liver enzymes were also measured. A genome-wide association study (GWAS) was performed to explore the relationship between genetic variants and plasma TREM2 levels. Our findings show thatplasma triggering receptor expressed on myeloid cells 2 (TREM2), a key gene associated with neurodegenerative disease, was the most significant signal correlated with alcohol consumption, and has also been associated with liver enzyme levels in patients with AUD. We identified the rs7232 single nucleotide polymorphism (SNP) in MS4A6A as a key genetic variant associated with plasma TREM2 levels, with the minor allele (A) linked to higher TREM2 levels and increased alcohol consumption, particularly in men. Furthermore, MA4A6A is an ethanol-responsive gene in a SNP-dependent manner, and the variant genotype of the rs7232 SNP was associated with lower expression for MA4A6A due to proteasome-mediated protein degradation. In summary, this study provides insight into the relationship between plasma TREM2 levels, alcohol consumption, and liver function in AUD patients, shedding light on genetic factors underlying alcohol-related diseases.
Feb 2025 DOI 10.14302/issn.2690-6759.jpar-25-5392
Prince Kyere DwaahCorresponding author
This study investigates the parasitological examination of faecal samples collected from sheep, goats, and cattle at the Techiman Slaughterhouse. Initially, 341 samples were collected, which were subsequently sorted to 327 for analysis due to the loss of data for 14 samples. The primary aim was to identify the prevalence of parasitic infections and assess the health implications for livestock and public health. The samples were analyzed using qualitative and quantitative parasitological techniques, including flotation and sedimentation methods, to detect nematode and cestode eggs. Descriptive statistics were used to summarize the data and the prevalence of each parasite type. The findings reveal significant levels of parasitic infections, particularly strongyle ova and Moniezia expansa, highlighting the need for better management practices in livestock health.
Jan 2025
J. O’Brien TylerCorresponding author
A phenomenological qualitative study was conducted to obtain facts and details about the lived experiences of Ohio funeral directors during their first five years of licensure. The goal of the study was to understand these lived experiences as told by funeral directors to understand better the factors that impact the attrition and retention of new licensees. The data was analyzed using the Colaizzi 1978 method. The collected data aided in professional development programs offered to Ohio funeral directors and embalmers which increased the discussion and interest in factors that impact attrition and retention rates of new funeral director licensees at the local and national levels. The information from the study can be applied to allied helping professions such as healthcare, ministerial, and education. The stories and experiences as told by Ohio funeral directors provides new insight into the factors that impact attrition and retention rates of new licensees.
Jan 2025 DOI 10.14302/issn.2644-1101.jhp-24-5355
Abuelaish IzzeldinCorresponding author
This paper examines the concept of conflict- and war-related hatred as a multifaceted construct. Drawing upon various theoretical frameworks, we hypothesized that hatred in the context of conflict and war would encompass five distinct dimensions: Groupthink (Contagious Hatred), Destructiveness, Exposure, Chronicity, and Extreme-Severe Affect. To empirically validate this conceptual framework, we conducted a second-order factor analysis using data from 709 questionnaire responses collected from citizens in the Gaza Strip. The findings revealed that the optimal model comprises three primary constructs: Contagious Hatred, Chronicity, and Extreme- Severe Affect. Based on these results, we argue that collective existential threats in contexts of protracted conflict and war amplify groupthink, foster a sense of chronicity, and evoke intense negative affect. These findings underscore the complexity of hatred as a psychological and social phenomenon in conflict zones.
Dec 2024 DOI 10.14302/issn.2641-4538.jphi-24-5358
Kar SonaliCorresponding author
Background Injuries, particularly unintentional ones, are a neglected public health concern and are preventable or avoidable. Children in urban slums are especially vulnerable due to hazardous living conditions, inadequate supervision, and lack of safe sojourns or play areas. Since these injuries result in seeming spontaneous recovery, appropriate care being initiated by the primary care giver is questionable. Objective To assess the burden of unintentional injuries of unintentional injuries in pre-school going children aged 2-6 years in urban slums of Bhubaneswar, Odisha. To compare the knowledge of the 1st level care post-injury among the primary care givers against standardized prescribed care. Methods A cross-sectional descriptive observational study was conducted for over 2 years in urban slums under the Bhubaneswar Municipal Corporation (BMC), the capital city of Odisha. A total of 285 children aged 2-6 years, whose mothers consented to participate, were included in the study. Data regarding the type of injury and its management, as well as, associated socio-demographic factors, were collected using a pre-designed, pre-tested questionnaire. Descriptive statistics was used to derive the burden of unintentional injuries in children. The knowledge of the 1st level of care to be given after the common injuries was assessed among all the primary caregivers to detect the treatment and care gap. Results The majority of primary respondents were mothers aged 21-30 years (82.1%), The frequency of an episode of unintentional injury (occurrence in last 3 months) in the study population was found to be 58%. The most common type of injury reported was skin lacerations or tears, common site being in the upper and lower limbs. Males were more affected as compared to females (54.64 %) The reporting of unintentional injuries among the children was found to have significant association with the occupation of the father. Fathers who were unemployed or working as unskilled labor, their child’s probability of reporting an unintentional injury was found to be high, with p value coming to be statistically significant. Conclusion The study highlights the complex interplay of sociodemographic factors influencing unintentional injuries among children in urban slums and the need to create awareness among the primary caregivers, about the immediate management, so that chronic complications may be averted. It is difficult to avert injury as this age group is agile and nowadays supervision is challenging. Still, the knowledge of management would not just empower the caregiver, but also the growing child, who can attend to their younger siblings or themselves, whenever they get injured next. Further research with larger sample sizes is warranted to validate these findings and develop effective prevention strategies.
Dec 2024 DOI 10.14302/issn.2690-0904.ijoe-24-5353
Kissling KristinCorresponding author
Physical therapists (PTs) experience stress and burnout due to high job and productivity demands. Exercise can assist in decreasing stress and burnout, but finding the time to exercise can be difficult. This study examined the effects of a 28-day, 7-minute, high intensity interval training (HIIT) workout on PT’s stress and burnout levels. In this quasi-experimental pretest-posttest design, the Perceived Stress Scale, Maslach Burnout Inventory, grip strength, Functional Reach Test, and VO2max measures were administered on day 1 and day 28. Between the data collection period, participants completed a daily, 7-minute HIIT workout. A series of paired sample t-tests were computed to compare the pre- and post-HIIT raw values. Significant improvements were found in all comparisons post-HIIT (p< .001). Therefore, it was concluded that 7-minutes of HIIT can assist PTs in reducing stress and burnout levels. Employers should consider implementing a workplace wellness program to benefit their employees.
Dec 2024 DOI 10.14302/issn.2474-9273.jbtm-24-5317
Ndje Mireille NdjeCorresponding author
Adolescence in Cameroon, as in many parts of sub-Saharan Africa, is often marked by early childbearing. Studies have shown a national prevalence of adolescent deliveries to be around 14.2% - 14.4%, a higher rate than the average for sub-Saharan Africa This presents a unique challenge for young mothers, who must navigate the complex process of identity reorganization while still navigating their own adolescence with its multiple changes. This article explores the experiences of primiparous (first-time) Cameroonian adolescents as they transition from daughters to mothers. The objective of this article is to understand how identity reorganization takes place among primiparous Cameroonian adolescents who pass without transition from the status of daughter to the status of mother. Drawing on qualitative data from semi-structured interviews, with seven participants chosen on the basis of selection criteria, the article examines the psychological, social, and cultural factors that shape this identity shift. An interview guide with three main themes made it possible to collect verbatim comments from the participants. The thematic analysis highlights the challenges faced by these young mothers, such as navigating social stigma, managing emotional upheaval, and balancing motherhood with their own developmental needs. The findings of this study highlight the complex and multifaceted nature of identity reorganization among primiparous Cameroonian adolescents. The social stigma associated with early childbearing, coupled with the emotional and practical demands of motherhood, can pose significant challenges to these young women. However, a study on a larger sample could reveal the resilience and resourcefulness of some adolescents, who find support within their communities and employ various coping mechanisms to navigate this transition. Finally, the article discusses the implications of these findings for adolescent maternal health interventions and social policy in Cameroon.
Dec 2024 DOI 10.14302/issn.2379-7835.ijn-24-5352
C. Katusi GodfreyCorresponding author
Introduction Adolescent pregnancy has become a global health concern in recent years, with maintaining dietary diversity being essential to ensure the health of both the mother and fetus. This study aimed to understand the dietary diversity and nutritional status among pregnant adolescents attending antenatal clinic and identify the factors influencing these outcomes. Methodology A hospital based cross-sectional study was done at St Francis Regional Referral Hospital at Ifakara, Tanzania. A total of 131 adolescent pregnant women consented to participate. Data was obtained using questionnaire and 24-hour dietary recall. Results The study revealed that 93.1% (n=122) of adolescent pregnant women met the minimum dietary diversity score based on 24-hour recall period. Similar proportions were observed for age group but vary significantly with the number of children born (p< 0.001), marital status (p = 0.032) and education level (p< 0.001). Additionally, 93.9% (n=123) of adolescent pregnant women had a normal Mid-Upper Arm Circumference (MUAC) and 6.1% (n=8) were undernourished. Similar proportions were observed across age, number of children born, marital status, education status, and occupation. Conclusion Most adolescent pregnant women in this study achieved adequate dietary diversity. However, socio-demographic factors such as age, marital status, and education, as well as challenges like illness and loss of appetite, influenced their dietary diversity and overall nutritional status. Future research should adopt a community-based longitudinal approach to better understand these factors and provide a more comprehensive understanding on the dietary patterns of adolescent pregnant women.
Dec 2024 DOI 10.14302/issn.2470-0436.jos-24-5322
Pestana Aguiar CatarinaCorresponding author
Studies show that individuals with limited health literacy skills experience worse health outcomes in a multitude of chronic diseases including glaucoma. These patients have poorer compliance, worse disease understanding and greater disease progression. The main purpose of our study was to evaluate the knowledge about glaucoma basic concepts in patients with this disease. A 24 question survey was given to patients followed by the glaucoma department, by phone or in person. Epidemiological data and personal therapeutic regimens were collected as well as data concerning the pathophysiology, treatment and prognosis of the disease. Survey responses were obtained from 79 patients with a mean age of 72 years old. Most of the patients had a low education level. The majority of patients could not enumerate glaucoma risk factors (74.5%), their glaucoma type (94.9%) or the best glaucoma definition (57%). However, they were able to relate the disease to a high IOP (75.9%) and the possibility of it leading to blindness (96.2%). We believe that patients, when observed in their glaucoma appointments, tend to retain information related to the prognosis and consequences of the disease and not focus on the understanding of its pathophysiology, causes and mechanisms, which may reflect their concern about their own future. However, this may lead to some misconceptions about the definition of glaucoma and specially about what can cause this disease. Some investment should be done to improve health literacy in the glaucoma population, with appropriate language and handed material.
Dec 2024 DOI 10.14302/issn.2474-3585.jpmc-24-5299
G. Bowden RodneyCorresponding author
Objective Studies assessing the risk of developing CVD between different racial groups in the United States have reached varying conclusions. The purpose of this study was to identify risk for CVD using the Framingham Risk Score (FRS) between racial/ethnic groups. A secondary aim of this study was to compare risk for CVD based on SES status/poverty ratio. Methods A cross-sectional data analysis was conducted using the 2015-2020 NHANES datasets using individuals aged 18 to 79 years. Sample weights were assigned by NHANES researchers to each participant allowing researchers to generalize results to all non-institutionalized US civilians. Results Mexican Americans (MA) had the lowest average FRS and significantly lower CVD risk than all other racial groups, except NH Asian. NH Asians had the second lowest FRS and significantly lower risk than NH Blacks and NH Whites, but their risk was similar to other Hispanic or the other/multi-racial groups. NH Blacks showed no significant difference in FRS compared to NH Whites, other Hispanic, and other/multi-racial groups. NH Whites were not statistically different from other Hispanic or other/multi-racial groups. Other Hispanic and multi-racial groups did not exhibit statistically significant differences. Overall, Mexican Americans had the lowest FRS whereas NH Whites had the highest. Conclusions NH whites demonstrated the highest CVD risk according to FRS, as the oldest racial/ethnic group in the cohort. SES did not consistently predict FRS differences between racial/ethnic groups. These findings suggest a need to further explore FRS as a means of identifying individuals who are at high risk of developing CVD.
Nov 2024 DOI 10.14302/issn.2574-4518.jsdr-24-5271
Kovila RajivCorresponding author
Background/Aim Obstructive Sleep Apnea (OSA) is a prevalent disorder characterized by recurrent respiratory disturbances during sleep. Patients with Type 2 Diabetes Mellitus (T2DM) and obesity exhibit a substantial susceptibility to OSA (23%–86%). People with OSA have a high risk of several comorbidities like insulin resistance, cardiovascular disease, depressed mood and hypertension. Thus, the objective was to comprehensively evaluate the risk of OSA among T2DM patients in India. Materials and Methods A cross-sectional survey was conducted across four cities in India involving 2,000 T2DM patients. The survey gathered data on patient demographics, clinical endpoints, and estimated the risk of OSA using an app which included the STOP BANG questionnaire. Multivariate logistic regression analysis was used to evaluate the association between OSA risk and key variables such as age, gender, BMI, and HbA1c. Result Overall, 63.9% of T2DM patients were identified as high risk and 27.3% were at intermediate risk for OSA development. Results of the multivariate logistic regression demonstrated that patients with high BMI ≥35 had significantly greater odds (OR: 5.70; p<0.00) of developing OSA; males had 2.75 times higher odds (p<0.00) and patients with HbA1c value >8% had higher odds (OR: 1.22; p<0.00) of developing OSA. Conclusion OSA risk and prevalence are significantly higher in T2DM patients than in the general population with a notable escalation in patients who are overweight/obese, older, and have prolonged diabetes duration. Early screening using digitalization with a highly sensitive, cost-efficient, and valid tool like STOP-BANG followed by appropriate intervention for OSA can not only reduce the eventual economic burden but can improve patient outcomes.
Sep 2024 DOI 10.14302/issn.2693-1176.ijgh-24-5233
Fiona AtimCorresponding author
In response to the rising burden of non-communicable disease (NDC), the World Health Organization (WHO) developed tools to enable early detection and management of NCDs in Primary Healthcare centers (PHC). Globally, the prevalence of NCDs remains alarmingly high with 41 million deaths annually. Of these, 17 million people die before the age of 70, and 86% of these premature deaths occur in low-and middle-income countries. This narrative review aimed to assess the effect of PHC services on health-related quality of life (HRQoL) of older persons with NCDs, to critically analyze the potential of the existing literature in informing improvements in PHC services. We searched various databases (PubMed, Springer, Scopus, and ScienceDirect) for relevant literature. Peer-reviewed articles on the influence of PHC services on HRQoL among older persons with NCDs written and published in English between January 2013 and May 2024 were considered. The review indicates that effective PHC services are linked to good HRQoL. However, PHC services are sub-optimal and poor in low- and middle-income countries, hence more health interventions are essential to improve PHC services to enhance HRQoL of older persons.
Sep 2024 DOI 10.14302/issn.2694-2275.jzr-24-5256
O. Henderson JeffreyCorresponding author
Stimulating precocious metamorphosis in anuran larvae is an important pedagogical tool for understanding vertebrate development. However, historically, artificially provoking metamorphosis by immersing tadpoles in exogenous inducing agents (e.g., thyroxine, and iodine) compromises the longevity of the experimental animals, resulting in up to 100% mortality within a week. In our undergraduate teaching lab, we house our experimental tadpoles in circular glass dishes having a surface area of 182 cm2. Over the past four academic years this lab was performed, we observed 100% mortality of experimental animals within 10, 12, or 15 days when treated with 10-5 M, 10-6 M, or 10-7 M thyroxine, respectively. Here, we investigated whether increasing the surface area to 413 cm2 using square glass dishes would reduce the mortality of the treated animals. Omnibus Kaplan-Meier survival analysis demonstrates a statistically significant decrease in mortality in tadpoles reared in the larger square dishes compared to those housed in the smaller round dishes (P < 0.05). However, increasing the surface area of our reaction vessels could not rescue survivability of those tadpoles immersed in thyroxine, but did increase survivability of control tadpoles maintained in pond water (P < 0.01), tadpoles subjected to iodine (P < 0.05) or treated with actinomycin D (P < 0.05). These data demonstrate that increasing available reaction vessel surface area reduces overall tadpole mortality during chemically modified metamorphosis in an undergraduate teaching lab setting.
Sep 2024 DOI 10.14302/issn.2692-1537.ijcv-24-5218
Luna-Rivero CesarCorresponding author
Background Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection often causes coagulation disorders that affect highly vascularized organs, such as the lungs and kidneys. Objective The objective of this study was to report the histopathological findings of variations in the fibrin pattern of pulmonary and renal microthrombi in patients who died from SARS-CoV-2 infection. Methods Minimally invasive autopsies were performed on 40 patients to collect lung (n=40) and kidney (n=16) tissue samples. Histochemical and immunohistochemical staining techniques were used for histopathological analyses. Premortem laboratory data were obtained from the patients' electronic medical records. Results The lung tissue showed a patchy pattern, characterized by areas of both minimal and severe damage. The most significant histopathological finding was the detection of thrombi with fibrin structures organized into discrete star-shaped units, which were more frequently observed in areas with severe lung injury than in those with minimal lung injury (p = 0.012). Star-shaped fibrin structures were also observed in the renal glomerular capillaries. Immunohistochemical staining revealed the presence of platelets and the procoagulant proteins von Willebrand factor (VWF) and Factor VIII within the star-shaped fibrin thrombi. Patients with star-shaped fibrin thrombi had higher levels of the systemic inflammatory indicators C-reactive protein (CRP) and neutrophil-to-lymphocyte ratio (NLR). Conclusion Our observations suggest that the inflammatory microenvironment resulting from SARS-CoV-2 infection may contribute to the formation of star-shaped fibrin units in the pulmonary and renal microthrombi.
Jul 2024 DOI 10.14302/issn.2641-4538.jphi-24-5017
V K SashindranCorresponding author
Background Frailty is an ageing-associated state linked to poor prognostic outcomes. Chronic inflammation due to HIV-infection, AIDS-related infections. and the adverse effects of antiretroviral therapy (ART) all contribute to frailty in people living with HIV/AIDS (PLHA). Frailty has been comprehensively studied in populations comprising predominantly of Caucasian PLHA. However, there remains a dearth of such data in Indian populations, especially in younger PLHA. Methodology This cross-sectional study aimed to estimate the prevalence of frailty in PLHA (18 - 50 years) who had been on ART for 24-60 months and identify markers linked to frailty. Frailty was assessed in 152 subjects using the Fried frailty-index. Parameters measured included the mid-upper arm and calf circumferences, pain-severity (using the Brief Pain Inventory), highly-sensitivity C-reactive protein, d-dimer, and interleukin-6. Results The prevalence of frailty and pre-frailty were 6.58% and 23.02%, respectively. Reduced grip strength and self-reported exhaustion were associated with frailty (15.79% and 13.16%, respectively). Low calf-circumference and mid-upper arm circumference were not significantly associated with frailty/pre-frailty. The prevalence of pain was 21.7% and both pain severity and pain interference were significantly associated with frailty/pre-frailty. CD-4 counts at the time of assessment showed an inverse association with frailty. Elevated C-reactive protein (CRP of 0.04 associated with 0.49 probability of frailty (95% CI 0.40 – 0.59), CRP of 0.12 associated with 0.63 probability of frailty (95% CI 0.47 – 0.76)). D-dimer levels were not significantly associated with frailty /pre-frailty. Conclusion In this first-of-its-kind study on frailty in young PLHA (mean age 37 years) from the Indian sub-continent, the prevalence of frailty and pre-frailty was 6.58% and 23.02%, respectively. Multivariate analysis showed a strong association of frailty with pain severity, CD4 count at time of assessment, hs-CRP levels and duration of ART.
Jul 2024 DOI 10.14302/issn.3070-3379.jwc-24-5072
Gobato RicardoCorresponding author
Extratropical cyclones are common in the South Atlantic. They generally arise with the passage of cold fronts to the south of the South American continent, crossing the south of Chile and Argentina, in the regions of Puerto Natales, Punta Arenas (Chile), Rio Galegos, Rio Grande, El Calafate and Ushuaia (Argentina). The extratropical cyclone analyzed presented at its peak the very characteristic shape of a Chinese dragon. Other cyclones in the form of a Cote's spiral curve are part of this analysis (Gobato et al., 2018-2023). They present a mathematical form of a double Cotes Spiral curve. Here called the Dragonhead cyclone, indicate a structural similarity with spiral galaxies, especially NGC 5247, in the constellation Virgo. With an area of influence and a size of around 3,247 thousand km2 at its peak, it moved quickly in a west-northwest (WNW) direction, with an average speed of 76 km/h, with winds of 84 km/h at 100 km from the nucleus, as it passed north of the Falkland Islands (Malvinas Islands). The cyclone temperature during its trajectory varies from -45ºC to -50ºC at its edge, while at its core it varies between -10ºC to -25ºC. In the data collected (Gobato et al., 2018-2023), and analyzed from the Dragonhead cyclone, it is clear that all extratropical cyclones that appear south of the South American continent, below 40° latitude, have the shape of a spiral curve, like the spiral galaxy. Most of these are in the form of a double Cote’s spiral curve.
Jun 2024 DOI 10.14302/issn.2374-9431.jbd-24-5077
Isea RaúlCorresponding author
Dengue is a global arbovirus disease primarily carried by Aedes aegypti and Aedes albopictus mosquitoes. It has four serotypes (DENV1, DENV2, DENV3, and DENV4) and is classified into distinct genotypes. The epidemic is complicated by immunological interactions and viral lineage turnover. Neurological problems are commonly associated with DENV2 and DENV3, with DENV2 displaying the most severe symptoms. Direct viral invasion, host-mediated immune system reactions, or host-mediated metabolic alterations can all result in dengue-related neurological issues. The three dengue vaccinations and the significance of meta-analyses for genetic data will also be covered. Finally, establish a connection with the microRNAs associated with dengue fever, creating new opportunities for the creation of dengue treatment regimens involving microRNAs.