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, Ying-Hua Ma

Journal: PloS one 2018;13(2):e0193368

PMID: 29474498

Plain Language Summary

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Recent findings suggest both underweight and obesity based on body mass index (BMI) were associated with the increased risk of mortality. As BMI cannot discriminate between lean mass and body fat mass, it is unclear whether the amount and distribution of body fat impacts mortality risk. Therefore, the aim of this study was to assess whether fat distribution confers any additional risk of mortality in addition to fat amount. This data linkage cohort study included 16415 participants aged 18 to 89 from the National Health and Nutrition Examination Survey (NHANES) and its linked mortality data. A total of 4999 deaths occurred during the 19-year follow up and body fat percentages were estimated based on bioelectrical impedance analysis and waist-hip ratio (WHR). This study showed both body fat percentage and WHR are independently associated with mortality. Based on these findings the authors conclude both the amount of body fat and its distribution should be considered with assessing all-cause mortality risk.

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.

Address: School of Public Health, Peking University Health Science Center, Beijing, P. R. China.; Centre for Chronic Disease, School of Medicine, The University of Queensland, Herston, Queensland, Australia.; Institute for Urban Indigenous Health, Brisbane, Queensland, Australia.
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