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.

Abstract: Obesity is a global epidemic and a significant public health problem. In the elderly population, obesity is defined as a BMI ? 25 kg/m². In the United States, the prevalence of obesity among the elderly is 37.1% in men and 33.6% in women over the age of 60. Obesity increases the risk of chronic diseases such as type 2 diabetes, hypertension and cardiovascular disease, and can cause psychological problems such as sleep disorders and lack of self-confidence. Accurate obesity risk assessment involves measuring Body Mass Index (BMI) and waist circumference. This activity uses the Plan-Do-Check-Act (PDCA) methodology to screen for obesity in the elderly at Hana Nursing Home, South Tangerang. The screening includes anthropometric measurements of BMI and waist circumference, followed by evaluation and nutritional counseling for at-risk individuals. 9 people (14.75%) had overweight nutritional status, 3 people (4.92%) had obese nutritional status, and 35 people (57.38%) were at risk of central obesity. Routine anthropometric measurements are critical for monitoring obesity and implementing preventive measures to improve overall health outcomes, improve quality of life, and reduce obesity-related morbidity and mortality rates.
Keywords: Obesity, Central Obesity, Elderly, Body Mass Index, Waist Circumference