Aim: To analyse fall prevalence, risk factors and perceptions among Thai older adults to design a prevention model.Design: Quantitative and qualitative data were collected using a convergent parallel mixed‐methods design.Methods: A cross‐sectional analysis was conducted using secondary data from health screenings of older adults in 20 subdistrict hospitals in southern Thailand from January 2018 to September 2019 (n = 12,130). In‐depth interviews (IDIs) and focus group discussions (FGDs) were conducted with purposively sampled participants who were representatives of older adults and stakeholders (n = 50).Results: The quantitative analysis showed that the prevalence of falls was 12.1%. The independent risk factors were female gender, employment status, cognitive impairment, semi‐dependent functional ability, balance problems, vision impairment, hearing difficulties, use of medications, reliance on assistive devices and access to outdoor toilets. The qualitative analysis revealed misconceptions on falls and fall prevention measures among older adults and community stakeholders. In Thailand, healthcare providers and community nurses play a crucial role in providing primary advice and conducting interventions, yet they encounter obstacles due to lack of personnel, time constraints, limited resources, inadequate support and unclear policies. Stakeholders stress the urgency of improving practice guidelines, developing evidence‐based strategies and aligning with government policies.Conclusions: Fall risk factors and prevention challenges among older adults were identified. Effective fall prevention programmes are needed.Impact: The identified fall events may guide public health agencies and local administrations in planning fall prevention programmes. For implementation in Thai communities, teamwork among leaders and stakeholders is key.Patient or Public Contribution: IDIs and FGDs were conducted with older adults, village health volunteers, nurses, healthcare providers, local organization administrators and village headmen.

Geriatric nutritional problems are increasingly characterized by the co-existence of undernutrition and obesity, yet community-level evidence from Southern Thailand remains limited. Grounded in the social determinants of health (SDH) framework, this cross-sectional study examines the prevalence and independent predictors of BMI categories and abdominal obesity among 13,458 community-dwelling older adults across 20 sub-districts in Southern Thailand. Anthropometric measurements and structured interview data were analyzed using chi-square tests and multinomial logistic regression, with normal weight as the reference category. Overall, 50.3% of participants were overweight or obese, 40.5% had abdominal obesity, and 7.7% were underweight. Advancing age, continued employment, and asthma were independently associated with higher odds of underweight, whereas abdominal obesity was the strongest predictor of elevated BMI categories, increasing the odds of overweight, obesity Class I, and obesity Class II. Female sex, literacy, dyslipidemia, hypertension, and diabetes were also associated with excess BMI categories. Moderate, regular physical activity was a protective factor. These findings support risk-stratified community interventions that integrate BMI with WC screening and address regional occupational, behavioral, clinical, and food culture determinants of nutritional health in older adults.

Falls among Thai older adults are a significant public health concern requiring collaboration between government institutions, community organizations, and stakeholders. A holistic community‐driven approach to address gaps in coordination and implementation of fall prevention strategies is needed. Therefore, the aim of the study was to develop and evaluate a fall prevention model for older adults in Thailand, leadership by nursing with a participatory action research design. The study consisted of three phases: preparation, model development, and model evaluation, to design a fall prevention model using a mixed‐methods approach. The key activities included leadership training, brainstorming to develop a fall prevention model, and conducting multicampaigns over 12 months with village health volunteers, community nurses, and community leaders. A 16‐week program trial involving 30 high‐risk older adults employed a quasiexperimental one‐group pretest–posttest design. After 1 year, the model was evaluated in a lessons‐learned forum with stakeholders, participants, and experts. Quantitative data were analyzed using frequency, percentage, and paired t ‐tests, while qualitative data were subjected to thematic analysis. The fall prevention program significantly enhanced participants’ strength, balance, and fall prevention behaviors. Lessons learned emphasized the importance of community engagement and recommended the integration of fall prevention into long‐term elderly care systems. Leadership training improved community awareness, capacity, and cooperation in fall prevention. Stakeholders and community members expressed high satisfaction with fall prevention campaigns. This study highlights the feasibility of implementing a community‐based fall prevention model through community participation. It underscores the importance of cross‐sector collaboration for sustainable fall prevention.