Stanislas Kotska Marvel Mayello Teguh
Tarumanagara University

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The Correlation Between Blood Pressure, Basic Anthropometric Measurements, Hemoglobin, Hematocrit, Blood Sugar, and Uric Acid With Grip Strength in Elderly Women Susy Olivia Lontoh; Ernawati Ernawati; Alexander Halim Santoso; Stanislas Kotska Marvel Mayello Teguh; Geoffrey Christian Lo; Nicholas Setia
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.v9i1.858

Abstract

Grip strength is a key indicator of muscle function and health in elderly women, influencing mobility and independence. Factors such as blood pressure, body composition, and metabolic biomarkers influence grip strength. This study examines the relationship between blood pressure, anthropometric measurements, hemoglobin, hematocrit, blood sugar, and uric acid with grip strength. A cross-sectional study was conducted on 34 elderly women (mean age: 72.24 years) in the St. Asisi Elderly Community, Tebet. Blood pressure, anthropometric parameters, and venous blood samples were analyzed. Grip strength was assessed using the Camry Electronic Hand Dynamometer. Statistical analysis used the Spearman correlation test (p < 0.05). Age showed a significant negative correlation with right-hand (p = 0.023) and average grip strength (p = 0.026), indicating muscle decline with age. Other factors, including blood pressure, hemoglobin, hematocrit, blood sugar, and uric acid, had no significant correlations. Among anthropometric measures, calf circumference showed the strongest positive correlation with grip strength (p = 0.063). Age is the primary factor affecting grip strength in elderly women, with weak or no significant associations for other parameters. Strength training and neuromuscular conditioning may help mitigate age-related muscle decline and support functional independence.
Associations Between Muscle Strength, Glomerular Filtration Rate, And Fall Risk: Insights From The Morse Fall Scale Alfred Sutrisno Sim; Alexander Halim Santoso; Stanislas Kotska Marvel Mayello Teguh; Catherine Christiana Pranata; Dianova Soeltanong
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.v5i1.6054

Abstract

Falls among older adults and individuals with chronic conditions pose a major public health concern, leading to injuries, reduced quality of life, and increased healthcare costs. Identifying modifiable risk factors is crucial for prevention. Muscle strength, particularly in the lower extremities, and renal function, measured by glomerular filtration rate (GFR), are potential predictors of fall risk. Sarcopenia and chronic kidney disease (CKD) exacerbate muscle weakness, impairing balance and mobility. While the Morse Fall Scale (MFS) assesses clinical and environmental risks, it lacks physiological measures like muscle strength and renal function. This study aims to bridge this gap by examining associations between muscle strength, GFR, and fall risk, enhancing fall risk assessments and contributing to a more comprehensive understanding of fall prevention. This cross-sectional study at Bina Bakti Nursing Home was done in 2024 examined muscle strength, GFR, and fall risk in 93 elderly (≥60 years). Participants provided consent; those with incomplete data were excluded. Partial correlation analysis showed strong right-left grip strength correlation (p < 0.001) but no significant associations with Morse Fall Scale scores (p = 0.058, p = 0.093), suggesting grip strength alone poorly predicts fall risk. This study confirms grip strength as a reliable muscle function measure but not a strong fall risk predictor. Age plays a dominant role, necessitating fall prevention strategies integrating balance, mobility, cognition, and environment. Renal function did not directly influence fall risk but may contribute indirectly through frailty, warranting further investigation.
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.