biostudies-literatureLiu MNational Natural Science Foundation of China1064-1075https://www.ebi.ac.uk/biostudies/studies/S-EPMC8978015biostudies-literatureUnknown13(2)<h4>Background</h4>Studies on the prospective association of body composition with mortality in US general populations are limited. We aimed to examine this association by utilizing data from the National Health and Nutrition Examination Survey (NHANES), a representative sample of US adults, linked with data from the National Death Index.<h4>Methods</h4>We analysed data of NHANES 1988-1994 and 1999-2014, with 55 818 participants [50.6% female, baseline mean age: 45.0 years (SE, 0.2)]. Predicted fat mass and lean mass were calculated using the validated sex-specific anthropometric prediction equations developed by the NHANES based on individual age, race, height, weight, and waist circumference. Body composition and other covariates were measured at only one time point. Multivariable Cox reJournal of cachexia, sarcopenia and musclePredicted fat mass and lean mass in relation to all-cause and cause-specific mortality.PMC89780158197313381730019Li HLiu MZhang ZZhou CZhang YQin XLiu CYe ZHe PfalsePredicted fat mass and lean mass in relation to all-cause and cause-specific mortality.<h4>Background</h4>Studies on the prospective association of body composition with mortality in US general populations are limited. We aimed to examine this association by utilizing data from the National Health and Nutrition Examination Survey (NHANES), a representative sample of US adults, linked with data from the National Death Index.<h4>Methods</h4>We analysed data of NHANES 1988-1994 and 1999-2014, with 55 818 participants [50.6% female, baseline mean age: 45.0 years (SE, 0.2)]. Predicted fat mass and lean mass were calculated using the validated sex-specific anthropometric prediction equations developed by the NHANES based on individual age, race, height, weight, and waist circumference. Body composition and other covariates were measured at only one time point. Multivariable Cox re2022-01-01T00:00:00Z2022 Apr2025-04-19T20:08:41.149Z2025-04-19T20:08:41.149ZS-EPMC89780153506807610.1002/jcsm.12921