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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.
Nov 2022 DOI 10.14302/issn.2474-7785.jarh-22-4354
Marks RayCorresponding author
Department of Health and Behavior Studies, Columbia University, Teachers College New York, USA.
Background Osteoarthritis, the most common joint disease and one affecting a large number of older adults is not always amenable to the use of passive interventions such as surgery or pharmacologic interventions, but even then, to maximize any desirable intervention approaches, a trustworthy and supportive partnership with the sufferer is strongly indicated. Complicating this process are emerging equity and persistent health literacy issues, as well as post COVID-19 service associated ramifications and persistent disease risks. Aim This mini review was designed to examine what current data reveal as regards the presentation of osteoarthritis and its pathology among the older adult as of the current post COVID-19 pandemic period in 2022, and how health literacy and equity issues are likely implicated in some degree with the disease presentation and its outcomes and will be likely to continue, unless remediated. Methods Peer reviewed published articles on this topic were sought from multiple data bases using the key words- osteoarthritis, health equity, health literacy, prevention, and intervention. Results As in prior years, osteoarthritis continues to induce considerable physical disability and consistently impedes the attainment of a high life quality for many older adults. Although not studied to any degree, attention to health equity and literacy issues appear to pose additional osteoarthritis intervention challenges, especially among the long COVID affected older adults and those with low income and educational levels. Conclusions Many behaviourally oriented and necessary osteoarthritis management approaches and interventions may fail to reduce the functional disability and pain experienced by older people with any form of osteoarthritis to any meaningful degree if a) the provider does not tailor their recommendations in light of possible prevailing health literacy, economic, and educational challenges; b) the patient does not understand how their health behaviours impact joint disease as well as COVID-19 risk status, and are not empowered to undertake these.
Aug 2021 DOI 10.14302/issn.2641-4538.jphi-21-3927
Nagaraj NitashaCorresponding author
Assistant Professor, The George Washington University.
While Guatemala has made great strides towards gender equality, it remains a country with vast disparities. Gender sensitization and empowerment programs during adolescence when gender attitudes are formed have the potential to diminish gender inequities. The Girl Rising Pilot Program (GR) is a 24-week curriculum designed for adolescent girls living in the Sololá region where 95% of the total population is indigenous and Mayan. The present pilot study evaluated outcomes of the GR Guatemala pilot program. Specifically, the evaluation examined whether there were differences between baseline and follow-up on perceptions of gender equity, aspirations, and communication for adolescent girls who participated in the GR program. A quasi-experimental study design with a one group pre- and post-test was implemented. The pilot evaluation study included all 265 participants at baseline who participated in the GR program. after controlling for significant variables, it was found that the gender equitable attitudes score and communications scale still significantly increased between baseline and follow-up. The results of this evaluation prove that gender sensitization programs play a key role in forming and changing gender attitudes during adolescence, and have the potential to alter their short and long-term attitudes and beliefs.
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.
Dec 2025 DOI 10.14302/issn.2641-4538.jphi-25-5852
Anirudhan RanjaniCorresponding author
South Asian female college students in the United States face mental health challenges shaped by intersecting experiences of discrimination and violence. This study examined how discrimination and violence contribute to depression in this population. An anonymous, cross-sectional, web-based survey (N=673) was distributed nationally through South Asian organizations, listservs, and social media. Validated measures assessed day-to-day discrimination, college-based discrimination, experiences of violence during college, and depression (PHQ-9). Bivariate analyses and multivariate linear regression examined associations, adjusting for sociodemographic factors. Over half of participants (51.1%) reported college-based discrimination, 66.1% reported experiencing violence during college, and 25.7% met the criteria for depression. In adjusted models, day-to-day discrimination (β=0.261, p<0.001) and college violence (β=0.207, p<0.001) were significant predictors of depression. Bisexual and questioning/unsure students also reported higher depression scores than heterosexual peers. Discrimination and violence are key social determinants of mental health among this population. Findings underscore the need for culturally responsive mental health services, intersectional campus policies, and evidence-based interventions to promote health equity among minority women in higher education.
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
Feb 2023 DOI 10.14302/issn.2379-7835.ijn-23-4441
Phadke MrudulaCorresponding author
A practical review compares growth chart standards and references for pediatric monitoring after the COVID era. It advises on selection, interpretation, and equity considerations in diverse populations.
Jun 2020 DOI 10.14302/issn.2692-1537.ijcv-20-3404
Martins da Silva AndreaCorresponding author
Department of Pediatrics, University of São Paulo, Ribeirão Preto, Brazil
A commentary on remote education challenges during COVID‑19 in Brazil. It covers equity, infrastructure, teacher training, and student engagement, proposing pragmatic steps to support learning continuity.
Sep 2019 DOI 10.14302/issn.2641-4538.jphi-19-2995
Chaudhary Nagaraj NitashaCorresponding author
The George Washington University, Milken Institute School of Public Health, Department of Prevention and Community Health
Despite the gains India has made in recent decades, it remains a country with vast gender inequities. Gender sensitization and empowerment programs aimed at young people, precisely at the time when they are forming their gender attitudes, has the potential to diminish gender inequity in the long-term. This study represents data from 36 qualitative in-depth interviews conducted amongst adolescent boys and girls enrolled in grade 7 in northern India, in schools that serve under-resourced communities. The interviews asked questions related to positive youth development, gender roles, violence, and locus of control. The results of the qualitative analysis provide insights into how adolescents perceive gender discrimination in their families and communnites. The majority of expectations for boys revolved around physical labor, while, for girls, gender roles were primarily focused on stopping education early to get married and take care of the household and children. Many of the responses from both boys and girls on privileges/restrictions were related to daughters not being fully educated while sons often were. Furthermore, when comparing between boys and girls (attributes) and understanding superiority, many participants noted there is a clear preference of boys compared to girls. Girls also had higher proportion of violence codes compared to boys, perhaps because many girls felt they were hit more frequently than boys. The results of this qualitative analysis provide direction for both future research as well as the development of gender sensitization interventions specifically designed for adolescents.
Sep 2016 DOI 10.14302/issn.2474-3585.jpmc-16-1106
Roy MathieuCorresponding author
Department of Family Medicine and Emergency Medicine, Faculty of Medicine and Health Sciences, Université de Sherbrooke, Sherbrooke, (Québec, Canada)
Health and social services organizations discriminate too much between core public health functions. Health protection actions, services, and programs are often separate from those concerned with disease prevention and health promotion. In this comment, we advocate for more partnerships between all public health functions within health and social services organizations. Stronger bridges between such teams, services, and programs are needed to move forward with a more encompassing and integrated perspective aiming for social justice and equity. In this comment, we support this position with some examples. We also use smoking-related issues from a regional representative population-based sample (Eastern Townships, Quebec, Canada) to demonstrate how we can better struggle against social inequalities with a perspective that simultaneously considers all functions of public health within actions, services, and programs of health and social services organizations. We conclude with avenues to foster such partnerships.
Jan 2016 DOI 10.14302/issn.2381-862X.jwrh-15-801
Lin Feng XingCorresponding author
Department of Health Policy and Administration, School of Public Health, Peking University, 100191
Objectives: To measure the horizontal inequity in the uptake of hospital delivery and quantify the contribution of various social determinants of health (SDH) to such inequity in China from 1993-2008 Methods: With four national representative surveys in China conducted in 1993, 1998, 2003 and 2008, we measured horizontal inequity in the uptake of hospital delivery using indirect standardized concentration indices (CIs). By decomposing Cis into components, we explored the contributions of income, health insurance, education, living conditions to such inequities. Oaxaca type decomposition was further used to explain the role for each SDH on the changes of inequities between 1993 and 2008. Results: We found that horizontal inequity in the coverage of hospital delivery approached equal line in the urban areas and shrank by 90% in rural China in 1993-2008. The data also showed that dramatic socio-economic achievement was made across the 16 years, including education, income, health insurance and living conditions, which contributed substantially to the reduction of the inequities in the uptake of hospital delivery. Income’s contribution was mainly made by its protection effect, while health insurance’s role was mainly played by its equal distributions in the rural areas. Conclusions: The horizontal inequity in the uptake of hospital births vanished in urban China and decreased in the rural. The leading contributors to such inequity were income, health insurance, living conditions and education. Decomposition analysis suggests that more investments are warranted for financial risk protection and targeted demand side subsidies may make a difference.