Lipid Panel Predictors of Urinary Incontinence in Elderly in Bina Bakti Nursing

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.

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Publication Details

Journal
Jurnal Ilmu Kedokteran dan Kesehatan Indonesia
Published
2025-05-24
DOI
https://doi.org/10.55606/jikki.v5i1.6055
Primary Topic
Health Promotion and Cardiovascular Prevention
Type
article
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article

Lipid Panel Predictors of Urinary Incontinence in Elderly in Bina Bakti Nursing

Nicholas Albert Tambunan, Alexander Halim Santoso, Stanislas Kotska Marvel Mayello Teguh, Tosya Putri Alifia et al.
1 links
Jurnal Ilmu Kedokteran dan Kesehatan Indonesia
Health Promotion and Cardiovascular Prevention
article

Lipid Panel Predictors of Urinary Incontinence in Elderly in Bina Bakti Nursing

Nicholas Albert Tambunan, Alexander Halim Santoso, Stanislas Kotska Marvel Mayello Teguh, Tosya Putri Alifia, Yulfitra Soni, Anthony Jason Raharjo
article en

Abstract

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.

Jurnal Ilmu Kedokteran dan Kesehatan IndonesiaVol. 5(1)
Tarumanagara University (ID)
Openalex Percentile: Top 82%
Health Promotion and Cardiovascular Prevention
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Lipid Panel Predictors of Urinary Incontinence in Elderly in Bina Bakti Nursing — Nicholas Albert Tambunan, Alexander Halim Santoso, et al. · Jurnal Ilmu Kedokteran dan Kesehatan Indonesia (2025) | TGRS Research Map | TGRS