Applications of data science and artificial intelligence (AI) in global health are expanding, yet research remains fragmented and often misaligned with the needs of low-income and middle-income countries (LMICs). To address this misalignment, we conducted a global research priority-setting exercise using the Child Health and Nutrition Research Initiative (CHNRI) method. 155 research ideas were scored by 51 experts based on feasibility, potential impact on disease burden, paradigm shift potential, implementation potential, and equity. Top-ranked priorities focused on epidemic preparedness, including AI-based outbreak prediction, improved diagnostics for infectious diseases, and early-warning systems. Other highly ranked topics included AI-assisted resource allocation, telemedicine, culturally adapted mobile health services, and chronic disease management tools. Experts from LMICs prioritised infectious disease control and diagnostic equity, whereas experts from high-income countries emphasised infrastructure and climate-related analytics. The resulting agenda provides a roadmap for aligning AI and data science research with global health priorities, particularly in LMICs.
Introduction. Informal women caregivers of children with Attention-deficit/hyperactivity disorder (ADHD) face contextual and mental health challenges that increase the risk of stress and parental burnout (PB). In Mexico, however, support interventions targeting this population are scarce. This is the first evaluation of an online Trauma-Informed Yoga (TIY) intervention for this population. Objective. To evaluate the feasibility, acceptability, and preliminary effects of TIY on stress, anxiety, depression, and PB in women caregivers of children with ADHD. Method. A within-subject AB design with repeated measures and one- and two-month follow-ups was implemented. Participants comprised five women, all mothers and primary caregivers of children diagnosed with ADHD treated at the outpatient clinic of a public pediatric psychiatric hospital in Mexico City, who presented with baseline psychological distress and/or PB. The intervention consisted of eight individual online TIY sessions lasting 50 minutes each. DASS-21, the Parental Burnout Assessment, and an ad hoc acceptability questionnaire were administered. Results. All five participants showed decreases with moderate to large effect sizes in most variables. A reliable clinical change (p < .05) in stress reduction was obtained for three cases. The retention rate was 100%, and the acceptability criterion was exceeded (#cer# 70% positive responses). Discussion and conclusion. The online TIY intervention proved to be feasible, safe, and well-accepted, yielding decreases in psychological distress and PB. The core insight is that remote TIY constitutes a viable adjunct tool for reducing distress in women caregivers of children with ADHD. Future research should explore group formats, larger samples, and controlled designs.
Background Sunlight has profound impacts on physical and mental health, beyond vision, including effects on circadian rhythms, alertness, mood, and sleep. A family history of any mood disorders is strongly associated with psychiatric disorders including bipolar disorder. The purpose of this study was to evaluate the association between a family history of any mood disorder in patients with bipolar I disorder and solar insolation at varied international onset locations.Methods Data for this analysis were available from 5842 patients with a diagnosis of bipolar I disorder obtained at 83 collection sites in both hemispheres. This included 4752 patients from 71 collection sites in the northern hemisphere and 1090 patients from 12 collection sites in the southern hemisphere. Patient data variables were obtained from records or interviews. Solar insolation data were obtained from The National Aeronautics and Space Administration (NASA) Power database for each onset location, and the ratio of the mean monthly minimum/mean monthly maximum solar insolation was calculated. Typically, the ratio is largest near the equator (little yearly change in solar insolation) and smallest near the poles (large yearly change in solar insolation).Results A significant relationship was found between a family history of any mood disorder, the ratio of the mean monthly minimum/mean monthly maximum solar insolation, and gender. The odds of a family history of mood disorder increased as patient location nears the poles and decreased near the equator. Female gender also increased the odds of having a family history of a mood disorder.Conclusions This study highlighted the association between family history, solar insolation, and gender in international patients with bipolar I disorder. Given the profound effects of sunlight on human health, the family of patients with bipolar disorder who live in the same location with the same solar insolation, and especially females, may be at increased risk for a mood disorder.
Mental health interventions in rural areas often face systemic and governance barriers that limit their implementation. This study analysed how governance dimensions at the municipal, state, and federal levels influence the perceived feasibility of implementing the Primary Care and Psychiatry Model (MAP-PSI), an early intervention strategy targeting adolescent depression in rural Mexico. A descriptive–interpretative qualitative design was employed, using semi-structured interviews and hybrid (deductive–inductive) content analysis. Participants were purposively selected institutional stakeholders involved in MAP-PSI implementation, including local health managers, state and federal decision-makers, and community-based actors. The coding process was collaboratively developed and validated through consensus and critical reflection among researchers. Five interrelated governance dimensions were identified: local leadership, intersectoral coordination, resource mobilisation, community participation, and institutional adaptability. These dimensions converge in a multilevel governance framework that illustrates how governance capacities across levels can enable or constrain community-based mental health interventions. The findings provide an empirically grounded framework to inform the design, adaptation, and future evaluation of community-based mental health strategies in underserved rural contexts.
