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Ye-Rim Kim 1 Article
Comparative analysis of body mass index and obesity-related anthropometric indices for mortality prediction: a study of the Namwon and Dong-gu cohorts
Ye-Rim Kim, Min-Ho Shin, Young-Hoon Lee, Seong-Woo Choi, Hae-Sung Nam, Jeong-Ho Yang, Sun-Seog Kweon
Epidemiol Health. 2024;e2024066.   Published online July 17, 2024
DOI: https://doi.org/10.4178/epih.e2024066    [Accepted]
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Abstract
OBJECTIVES
This study investigated the associations between several obesity-related anthropometric indices and mortality in middle-aged and elderly populations to compare the indices’ predictive ability with that of the body mass index (BMI).
METHODS
We analyzed data on 12 indices calculated from 19,805 community-based cohort participants (average age, 63.27 years; median follow-up, 13.49 years). Each index was calculated using directly measured values of height, weight, waist circumference (WC), and hip circumference (HC). We calculated hazard ratios (HRs) and 95% confidence intervals (CIs) for each index using Cox regression and evaluated mortality prediction with the Harrell c-index.
RESULTS
Adding anthropometric indices to the basic mortality model (c-index 0.7723; 95% CI, 0.7647-0.7799) significantly increased the predictive power of BMI (c-index 0.7735; 95% CI, 0.7659-0.7811), a body shape index (ABSI, c-index 0.7735; 95% CI, 0.7659-0.7810), weight-adjusted waist index (WWI, c-index 0.7731; 95% CI, 0.7656-0.7807), and waist to hip index (WHI, c-index 0.7733; 95% CI, 0.7657-0.7809). The differences between the BMI model and the other 3 models were not statistically significant.
CONCLUSIONS
In predicting all-cause mortality, the ABSI, WWI, and WHI models based on WC or HC had stronger predictive power than conventional risk factors but were not significantly different from the BMI model.
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