Urinary incontinence (UI) significantly impacts the quality of life in older adults, often resulting from multifactorial causes, including age-related changes and systemic health issues. Emerging evidence highlights the role of lipid metabolism in influencing bladder and pelvic floor function through vascular integrity, inflammation control, and tissue repair. Lipid parameters, such as apolipoproteins, HDL, LDL, total cholesterol, triglycerides, and their ratios, provide insights into metabolic health and its association with UI. This study aims to identify specific lipid-related predictors, advancing the understanding of metabolic factors in UI and informing targeted prevention and management strategies for aging populations. This study used multiple linear regression analysis to assess the relationship between lipid panel predictors and urinary incontinence in 93 elderly respondents at Bina Bakti Nursing Home. The analysis identifies apolipoprotein B, Apo B/Apo A ratio, total cholesterol, and triglyceride-to-HDL ratio as significant predictors. These variables actively influence urinary incontinence through metabolic and vascular pathways, with both positive and negative associations. Apolipoprotein B, Apo B/Apo A ratio, total cholesterol, and triglyceride-to-HDL ratio predict urinary incontinence, highlighting lipid-related impacts on vascular health, inflammation, and tissue integrity for improved risk stratification.

Hyperuricemia is a condition of increased uric acid levels in the blood that can develop into various metabolic disorders, including gouty arthritis and kidney disease. Physical activity is known to play an important role in controlling uric acid levels by increasing excretion and inhibiting purine production. This activity uses the Plan-Do-Check-Act (PDCA) approach which includes checking uric acid levels using the Point-of-Care Testing (POCT) method in 91 productive-age individuals, as well as education about the importance of physical activity. The results were obtained directly and presented to the participants along with interpretive explanations and preventive recommendations. The average uric acid levels of the participants were recorded at 3.78 ± 0.60 mg/dL with a range of 2.5 to 5.6 mg/dL. All participants (100%) had uric acid levels within the normal range. Physical activity contributes to the regulation of uric acid levels, so proper education remains important even though the examination results show normal values. Education-based interventions play a role in strengthening primary prevention.