AI Article Synopsis
- This study examined how different obesity-related measurements relate to mortality among middle-aged and elderly people, comparing their effectiveness to the body mass index (BMI).
- It involved analyzing data from nearly 20,000 participants over an average follow-up of 13.5 years, using various body measurements like waist and hip circumference.
- The findings indicated that while alternative obesity indices improved mortality prediction compared to traditional methods, their effectiveness was not significantly better than that of the BMI model.
Article 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 concordance index (c-index).
Results: Adding anthropometric indices to the basic mortality model (c-index, 0.7723; 95% CI, 0.7647 to 0.7799) significantly increased the predictive power of BMI (c-index, 0.7735; 95% CI, 0.7659 to 0.7811), a body shape index (ABSI; c-index, 0.7735; 95% CI, 0.7659 to 0.7810), weight-adjusted waist index (WWI; c-index, 0.7731; 95% CI, 0.7656 to 0.7807), and waist to hip index (WHI; c-index, 0.7733; 95% CI, 0.7657 to 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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| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11576528 | PMC |
| http://dx.doi.org/10.4178/epih.e2024066 | DOI Listing |
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