{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Pomeroy E"],"funding":["Leverhulme Trust","European Research Council","Medical Research Council","Seventh Framework Programme"],"pagination":["56-69"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC6178563"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["166(1)"],"pubmed_abstract":["<h4>Objectives</h4>Estimating body mass from skeletal dimensions is widely practiced, but methods for estimating its components (lean and fat mass) are poorly developed. The ability to estimate these characteristics would offer new insights into the evolution of body composition and its variation relative to past and present health. This study investigates the potential of long bone cross-sectional properties as predictors of body, lean, and fat mass.<h4>Materials and methods</h4>Humerus, femur and tibia midshaft cross-sectional properties were measured by peripheral quantitative computed tomography in sample of young adult women (n = 105) characterized by a range of activity levels. Body composition was estimated from bioimpedance analysis.<h4>Results</h4>Lean mass correlated most strongl"],"journal":["American journal of physical anthropology"],"pubmed_title":["Relationship between body mass, lean mass, fat mass, and limb bone cross-sectional geometry: Implications for estimating body mass and physique from the skeleton."],"pmcid":["PMC6178563"],"funding_grant_id":["ECF-2015-520","MR/M012069/1","MR/J004839/1","617627"],"pubmed_authors":["Macintosh A","Stock JT","Pomeroy E","Cole TJ","Wells JCK"],"additional_accession":[]},"is_claimable":false,"name":"Relationship between body mass, lean mass, fat mass, and limb bone cross-sectional geometry: Implications for estimating body mass and physique from the skeleton.","description":"<h4>Objectives</h4>Estimating body mass from skeletal dimensions is widely practiced, but methods for estimating its components (lean and fat mass) are poorly developed. The ability to estimate these characteristics would offer new insights into the evolution of body composition and its variation relative to past and present health. This study investigates the potential of long bone cross-sectional properties as predictors of body, lean, and fat mass.<h4>Materials and methods</h4>Humerus, femur and tibia midshaft cross-sectional properties were measured by peripheral quantitative computed tomography in sample of young adult women (n = 105) characterized by a range of activity levels. Body composition was estimated from bioimpedance analysis.<h4>Results</h4>Lean mass correlated most strongl","dates":{"release":"2018-01-01T00:00:00Z","publication":"2018 May","modification":"2025-04-04T10:18:06.918Z","creation":"2019-03-27T00:02:41Z"},"accession":"S-EPMC6178563","cross_references":{"pubmed":["29344931"],"doi":["10.1002/ajpa.23398"]}}