Correlation of Hemoglobin, Uric Acid, and Anthropometric as Predictor Parameters in Subcutaneous Fat Deposition

Triyana Sari; Erik Sidharta; Alexander Halim Santoso; Stanislas Kotska Marvel Mayello Teguh; Brian Albert Gaofman; Bruce Edbert

doi:10.55606/jurrike.v4i1.4890

Authors

Triyana Sari Universitas Tarumanagara
Erik Sidharta Universitas Tarumanagara
Alexander Halim Santoso Universitas Tarumanagara
Stanislas Kotska Marvel Mayello Teguh Universitas Tarumanagara
Brian Albert Gaofman Universitas Tarumanagara
Bruce Edbert Universitas Tarumanagara

DOI:

https://doi.org/10.55606/jurrike.v4i1.4890

Keywords:

Anthropometry, Hemoglobin, Metabolic Health, Subcutaneous Fat, Uric Acid

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.

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