Yulfitra Soni
Tarumanagara University

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Exploring The Potential of Diabetes Panel and Albumin as Predictors on Urinary Incontinence in Elderly Yulfitra Soni; Nicholas Albert Tambunan; Alexander Halim Santoso; Bryan Anna Wijaya; Angel Sharon Suros; Bobby Marshel Ancheloti Waltoni
Jurnal Kesehatan Amanah Vol. 9 No. 1 (2025): Jurnal Kesehatan Amanah
Publisher : Universitas Muhammadiyah Manado

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57214/jka.v9i1.857

Abstract

Urinary incontinence (UI) is a significant health issue among the elderly, affecting their quality of life. While its etiology is multifaceted, metabolic and nutritional markers such as diabetes panel parameters and albumin levels may play a role in its severity. However, the relationship between these biomarkers and UI remains underexplored. This study aims to investigate the association of diabetes panel components and albumin levels with the severity of UI in elderly individuals to identify potential predictors. A cross-sectional analytic study was conducted involving 93 elderly participants from Bina Bhakti Nursing Home. UI was assessed using the International Consultation on Incontinence Questionnaire-Urinary Incontinence Short Form (ICIQ-UI SF). Metabolic markers were analysed using validated methods, including fasting glucose, HbA1c, fasting insulin, HOMA-IR, and albumin. Data were statistically analyzed using Spearman’s Rho and multiple regression analyses to determine correlations and predictive relationships. Significant correlations were observed between HbA1c (r = -0.284, p = 0.006) and albumin (r = -0.259, p = 0.012) with UI severity. Multiple regression analysis confirmed that HbA1c and albumin are significant predictors of UI, with lower levels associated with increased UI severity. Diabetes panel parameters, particularly HbA1c and albumin levels, are valuable predictors of UI severity in elderly individuals. These findings emphasize the importance of metabolic and nutritional health monitoring in managing and mitigating UI symptoms. Future longitudinal studies and intervention trials are recommended to validate these findings and explore therapeutic implications.
Lipid Panel Predictors of Urinary Incontinence in Elderly in Bina Bakti Nursing Nicholas Albert Tambunan; Yulfitra Soni; Alexander Halim Santoso; Stanislas Kotska Marvel Mayello Teguh; Tosya Putri Alifia; Anthony Jason Raharjo
Jurnal Ilmu Kedokteran dan Kesehatan Indonesia Vol. 5 No. 1 (2025): Maret : Jurnal Ilmu Kedokteran dan Kesehatan Indonesia
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jikki.v5i1.6055

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.