Associations Between Body Mass Index and Key Health Indicators in Elderly Populations: A Case Study

BMI waist circumference blood pressure elderly

Authors

  • Rifky Riyandi Prastyawan Department of Sport Science, Universitas Negeri Yogyakarta, Yogyakarta, Indonesia., Indonesia
  • Ratna Budiarti Department of Sport Coaching Education, Universitas Negeri Yogyakarta, Yogyakarta, Indonesia., Indonesia
  • Muslikhin Department of Electronics Engineering Education, Universitas Negeri Yogyakarta, Yogyakarta, Indonesia., Indonesia
  • Sri Ayu Wahyuti Department of Health and Sport, Universitas Negeri Yogyakarta, Yogyakarta, Indonesia, Indonesia
  • Yulvia Miftachurochmah
    yulviamifta@uny.ac.id
    Department of Health and Sport, Universitas Negeri Yogyakarta, Yogyakarta, Indonesia, Indonesia
Vol. 12 No. 2 (2025)
Case Study(ies)
December 16, 2024
February 26, 2025

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Objective: This study examined the associations between Body Mass Index (BMI) and key health indicators, including waist circumference, blood pressure, random blood sugar, and uric acid levels, in an elderly community setting.

Methods and Materials: A cross-sectional design was employed, involving 31 participants (mean age: 66.81 ± 2.83 years) selected through purposive sampling.

Findings: Spearman's Rho correlation analysis revealed significant associations between BMI and waist circumference (r = 0.653, p < 0.001), blood pressure (r = 0.616, p < 0.001), and uric acid levels (r = 0.731, p < 0.001). A moderate positive correlation was also observed between BMI and random blood sugar (r = 0.538, p = 0.002). However, multiple regression analysis demonstrated that BMI significantly predicted waist circumference (B = 0.400, p = 0.006), blood pressure (B = 0.274, p = 0.008), and uric acid levels (B = 0.490, p = 0.002), while its effect on random blood sugar was not statistically significant (B = 0.068, p = 0.630).

Conclusion: The findings suggest that BMI is a critical predictor of waist circumference, blood pressure, and uric acid levels, underscoring its importance in managing metabolic and cardiovascular health risks in elderly populations. It is hoped that through this study, practical implications can be applied to mitigate larger health risks by integrating tailored physical activity programs, dietary modifications, and routine health monitoring to address obesity-related complications in older adults.