Association of body fat distribution with all-cause and cardiovascular mortality in US adults: a secondary analysis using NHANES

• Published in: BMJ open Vol. 13; no. 11; p. e072752
• Main Authors: Li, Fuhai, Wang, Zhi, Li, Shaohua, Liu, Wenheng, Li, Yan, Jiang, Chen, Tian, Yulong, Cui, Weining, Zhang, Xuejuan, Zhang, Jidong, Xu, Yan
• Format: Journal Article
• Language: English
• Published: England British Medical Journal Publishing Group 21.11.2023; BMJ Publishing Group LTD; BMJ Publishing Group
• Subjects: Abdomen; Absorptiometry, Photon; Adult; Body Composition; Body fat; Body Fat Distribution; Body Mass Index; Cardiology; Cardiovascular disease; Cardiovascular Diseases - epidemiology; Cardiovascular medicine; Cholesterol; Cohort Studies; Cytokines; Education; Exercise; Glucose; Health surveillance; Humans; Metabolism; Mortality; Nutrition; Nutrition Surveys; Obesity; PUBLIC HEALTH; Regions; Secondary schools; Self report; Software; United States > US; PUBLIC HEALTH; Cardiology; Obesity
• ISSN: 2044-6055; 2044-6055
• DOI: 10.1136/bmjopen-2023-072752

ObjectiveTo investigate the association of fat and lean mass in specific regions with all-cause and cardiovascular-related mortality.DesignPopulation based cohort study.SettingUS National Health and Nutrition Examination Survey (2003–2006 and 2011–2018).Participants22 652 US adults aged 20 years or older.ExposuresFat and lean mass in specific regions obtained from the whole-body dual-energy X-ray absorptiometry.Main outcome measuresAll-cause and cardiovascular-related mortality.ResultsDuring a median of 83 months of follow-up, 1432 deaths were identified. Associations between body composition metrics and mortality risks were evident above specific thresholds. For all-cause mortality, Android fat mass showed elevated HRs above 2.46 kg (HR: 1.17, 95% CI 1.02 to 1.34), while Android lean mass (ALM) had similar trends above 2.75 kg (HR: 1.17, 95% CI 1.03 to 1.33), and Android total mass above 5.75 kg (HR: 1.08, 95% CI 1.01 to 1.16). Conversely, lower HRs were observed below certain thresholds: Gynoid fat mass (GFM) below 3.71 kg (HR: 0.72, 95% CI 0.56 to 0.93), Gynoid lean mass below 6.44 kg (HR: 0.77, 95% CI 0.64 to 0.92), and Gynoid total mass below 11.78 kg (HR: 0.76, 95% CI 0.70 to 0.84). Notably, below 0.722 kg, the HR of visceral adipose tissue mass (VATM) was 1.25 (95% CI 1.04 to 1.48) for all-cause mortality, and above 3.18 kg, the HR of total abdominal fat mass was 2.41 (95% CI 1.15 to 5.05). Cardiovascular-related mortality exhibited associations as well, particularly for Android fat mass (AFM) above 1.78 kg (HR: 1.22, 95% CI 1.01 to 1.47) and below 7.16 kg (HR: 0.50, 95% CI 0.36 to 0.69). HRs varied for Gynoid total mass below and above 10.98 kg (HRs: 0.70, 95% CI 0.54 to 0.93, and 1.12, 95% CI 1.02 to 1.23). Android per cent fat, subcutaneous fat mass (SFM), AFM/GFM, and VATM/SFM were not statistically associated with all-cause mortality. Android per cent fat, Gynoid per cent fat, AFM/GFM, and VATM/SFM were not statistically associated with cardiovascular-related mortality. Conicity index showed that the ALM/GLM had the highest performance for all-cause and cardiovascular-related mortality with AUCs of 0.785, and 0.746, respectively.ConclusionsThe relationship between fat or lean mass and all-cause mortality varies by region. Fat mass was positively correlated with cardiovascular mortality, regardless of the region in which they located. ALM/GLM might be a better predictor of all-cause and cardiovascular-related mortality than other body components or body mass index.