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Journal : Jurnal Riset Rumpun Ilmu Kedokteran (JURRIKE)

Correlation of Hemoglobin, Uric Acid, and Anthropometric as Predictor Parameters in Subcutaneous Fat Deposition Sari, Triyana; Sidharta, Erik; Santoso, Alexander Halim; Teguh, Stanislas Kotska Marvel Mayello; Gaofman, Brian Albert; Edbert, Bruce
JURNAL RISET RUMPUN ILMU KEDOKTERAN Vol. 4 No. 1 (2025): April : Jurnal Riset Rumpun Ilmu Kedokteran
Publisher : Pusat riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jurrike.v4i1.4890

Abstract

Subcutaneous fat deposition is a key factor influencing overall health, playing a significant role in metabolic regulation, energy balance, and the risk of chronic diseases such as obesity and cardiovascular conditions. Understanding and accurately predicting subcutaneous fat accumulation is critical for early intervention and effective management of these health risks. This study aims to analyze the correlation between hemoglobin levels, uric acid, and anthropometric parameters as predictors of subcutaneous fat deposition in elderly individuals. A cross-sectional study was conducted on 32 elderly participants at St. Asisi Church. Anthropometric measurements, including body weight, height, muscle composition, and circumferences, were assessed using OMRON Body Composition Monitor HBF-375, elastic tape and GEA Medical HT721. Biochemical tests for hemoglobin and uric acid levels were performed using Fora 6 Plus. Spearman correlation analysis was used to evaluate the relationship between these variables and subcutaneous fat deposition. Body weight, upper arm circumference, abdominal circumference, and calf circumference showed strong positive correlations with subcutaneous fat (r>0.9, p<0.001). Skeletal muscle percentage exhibited a negative correlation with fat accumulation. Hemoglobin and uric acid levels had weaker correlations, suggesting more complex metabolic interactions. Anthropometric parameters serve as strong predictors of subcutaneous fat deposition in elderly individuals, while hemoglobin and uric acid levels show limited predictive capability.
Regulation of Fasting Blood Glucose, Insulin, and Homa-Ir in Relation to Malnutrition Among the Elderly: Mechanisms and Clinical Implications Kosasih, Robert; Sari, Triyana; Santoso, Alexander Halim; Jap, Ayleen Nathalie; Hartono, Vincent Aditya Budi; Syarifah, Andini Ghina
JURNAL RISET RUMPUN ILMU KEDOKTERAN Vol. 4 No. 1 (2025): April : Jurnal Riset Rumpun Ilmu Kedokteran
Publisher : Pusat riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jurrike.v4i1.5057

Abstract

Malnutrition significantly disrupts metabolic processes like fasting blood glucose (FBG) regulation, insulin secretion, and insulin resistance (HOMA-IR), especially among the elderly. Aging amplifies these effects through declining β-cell function, reduced insulin sensitivity, and chronic inflammation, increasing the risk of type 2 diabetes and cardiovascular diseases. Globally, malnutrition affects 22% of the elderly, with prevalence reaching 28% in Indonesia due to food insecurity, limited healthcare access, and poor nutrition education. Malnutrition exacerbates glucose-insulin imbalances by causing muscle loss, increasing FBG levels, and inducing insulin resistance through chronic inflammation. Despite its impact, critical knowledge gaps remain, particularly in low- and middle-income countries like Indonesia. This study investigates how malnutrition affects FBG, insulin levels, and HOMA-IR in elderly individuals, focusing on mechanisms like inflammation and muscle loss to inform targeted interventions and improve metabolic health in resource-limited settings. This cross-sectional study evaluated fasting blood glucose, insulin, and HOMA-IR among 31 elderly participants at Panti Werdha Santa Anna. The study found no significant differences in fasting blood glucose, fasting insulin, HOMA-IR, or HbA1c levels across Mini Nutritional Assessment categories (normal, at risk, malnourished; p > 0.05). These results suggest no strong association between nutritional status and metabolic parameters, highlighting the need for further research with larger samples. This study finds no significant association between nutritional status and glycemic control in the elderly, suggesting malnutrition's indirect impact via mechanisms like inflammation and muscle loss. Comprehensive nutritional assessments remain essential to understanding its effects on metabolic health.