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. Show less

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. Show less

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. Show less

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. Show less