Joint association between body fat and its distribution with all-cause mortality: A data linkage cohort study based on NHANES (1988-2011)

Bin Dong, Yang Peng, Zhiqiang Wang, Odewumi Adegbija, Jie Hu, Jun Ma, Yinghua Ma

Research output: Contribution to journalArticle

Abstract

Objective: Although obesity is recognized as an important risk of mortality, how the amount and distribution of body fat affect mortality risk is unclear. Furthermore, whether fat distribution confers any additional risk of mortality in addition to fat amount is not understood.

Methods: This data linkage cohort study included 16415 participants (8554 females) aged 18 to 89 years from National Health and Nutrition Examination Survey III (1988-1994) and its linked mortality data (31 December 2011). Cox proportional hazard models and parametric survival models were used to estimate the association between body fat percentage (BF%), based on bioelectrical impedance analysis, and waist-hip ratio (WHR) with mortality.

Results: A total of 4999 deaths occurred during 19-year follow-up. A U-shaped association between BF% and mortality was found in both sexes, with the adjusted hazard ratios for other groups between 1.02 (95% confidence interval: 0.89, 1.18) and 2.10 (1.47, 3.01) when BF% groups of 25-30% in males and 30-35% in females were used as references. A non-linear relationship between WHR and mortality was detected in males, with the adjusted hazard ratios among other groups ranging from 1.05 (0.94, 1.18) to 1.52 (1.15, 2.00) compared with the WHR category of 0.95-1.0. However in females, the death risk constantly increased across the WHR spectrum. Joint impact of BF% and WHR suggested males with BF% of 25-30% and WHR of 0.95-1.0 and females with BF% of 30-35% and WHR <0.9 were associated with the lowest mortality risk and longest survival age compared with their counterparts in other categories.

Conclusions: This study supported the use of body fat distribution in addition to fat amount in assessing the risk of all-cause mortality.
Original languageEnglish
Article numbere0193368
JournalPLoS One
Volume13
Issue number2
DOIs
Publication statusPublished - 2018
Externally publishedYes

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