Literature DB >> 32371408

Effects of waist to height ratio, waist circumference, body mass index on the risk of chronic diseases, all-cause, cardiovascular and cancer mortality.

Kenneth Lo1,2, Yu-Qing Huang3, Geng Shen3, Jia-Yi Huang3, Lin Liu3, Yu-Ling Yu3, Chao-Lei Chen3, Ying Qing Feng3.   

Abstract

BACKGROUND: Given the fat redistribution in later stages of life, how the associations between abdominal obesity and the risk of morbidity and mortality have changed with age have not been elucidated, especially for waist to height ratio (WHtR).
OBJECTIVE: To compare the strength of association between obesity indices and chronic diseases at baseline, and the subsequent mortality risk among US adults.
METHODS: We included 21 109 participants from National Health and Nutrition Examination Survey 1999-2014. We performed logistic regression and receiver operating curve analysis to examine the discriminatory power of obesity indicators on cardiometabolic diseases and cancer at baseline. Sex-stratified and age-stratified Cox models were constructed to explore the prospective association between obesity indices and all-cause, cardiovascular and cancer mortality.
RESULTS: Elevated WHtR, elevated waist circumference (WC) and body mass index (BMI)-classified obesity are associated with higher odds of hypertension (OR: 1.37-2.13), dyslipidemia (OR: 1.06 to 1.75, all p<0.05) and diabetes (OR: 1.40-3.16, all p<0.05). WHtR had significantly better discriminatory power to predict cardiometabolic health than BMI, especially for diabetes (area under the curve: 0.709 vs 0.654). After multivariable adjustment, all obesity indicators are associated with lower risk of all-cause mortality among females aged ≥65 years (HR: 0.64 to 0.85), but the association was only significant for BMI when obesity indicators were mutually adjusted (HR: 0.79).
CONCLUSIONS: WHtR and WC appeared to be the better indicators for cardiometabolic health than BMI. However, BMI had a stronger and inverse association with a greater risk of all-cause mortality among older females. © Author(s) (or their employer(s)) 2021. No commercial re-use. See rights and permissions. Published by BMJ.

Entities:  

Keywords:  epidemiology

Year:  2020        PMID: 32371408     DOI: 10.1136/postgradmedj-2020-137542

Source DB:  PubMed          Journal:  Postgrad Med J        ISSN: 0032-5473            Impact factor:   2.401


  2 in total

1.  Effects of Body Mass Index, Waist Circumference, Waist-to-Height Ratio and Their Changes on Risks of Dyslipidemia among Chinese Adults: The Guizhou Population Health Cohort Study.

Authors:  Li Cao; Jie Zhou; Yun Chen; Yanli Wu; Yiying Wang; Tao Liu; Chaowei Fu
Journal:  Int J Environ Res Public Health       Date:  2021-12-29       Impact factor: 3.390

2.  The Association of Waist Circumference with the Prevalence and Survival of Digestive Tract Cancer in US Adults: A Population Study Based on Machine Learning Methods.

Authors:  Xingyu Jiang; Qi Liang; Huanhuan Xu; Shouyong Gu; Lingxiang Liu
Journal:  Comput Math Methods Med       Date:  2022-10-06       Impact factor: 2.809

  2 in total

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