{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["23(9)"],"submitter":["Yang HI"],"pubmed_abstract":["<h4>Objective</h4>To propose a new anthropometric index that can be employed to better predict percent body fat (PBF) among young adults and to compare with current anthropometric indices.<h4>Design</h4>Cross-sectional.<h4>Setting</h4>All measurements were taken in a controlled laboratory setting in Seoul (South Korea), between 1 December 2015 and 30 June 2016.<h4>Participants</h4>Eighty-seven young adults (18-35 years) who underwent dual-energy x-ray absorptiometry (DXA) were used for analysis. Multiple regression analyses were conducted to develop a body fat index (BFI) using simple demographic and anthropometric information. Correlations of DXA measured PBF (DXA_PBF) with previously developed anthropometric indices and the BFI were analysed. Receiver operating characteristic curve analy"],"journal":["Public health nutrition"],"pagination":["1507-1514"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC10200519"],"repository":["biostudies-literature"],"pubmed_title":["A new anthropometric index to predict percent body fat in young adults."],"pmcid":["PMC10200519"],"pubmed_authors":["Cho W","Ahn KY","Jeon JY","Shin SC","Lee EY","Lee DH","Yoo S","Park YI","Kim JH","Yang HI","Spence JC"],"additional_accession":[]},"is_claimable":false,"name":"A new anthropometric index to predict percent body fat in young adults.","description":"<h4>Objective</h4>To propose a new anthropometric index that can be employed to better predict percent body fat (PBF) among young adults and to compare with current anthropometric indices.<h4>Design</h4>Cross-sectional.<h4>Setting</h4>All measurements were taken in a controlled laboratory setting in Seoul (South Korea), between 1 December 2015 and 30 June 2016.<h4>Participants</h4>Eighty-seven young adults (18-35 years) who underwent dual-energy x-ray absorptiometry (DXA) were used for analysis. Multiple regression analyses were conducted to develop a body fat index (BFI) using simple demographic and anthropometric information. Correlations of DXA measured PBF (DXA_PBF) with previously developed anthropometric indices and the BFI were analysed. Receiver operating characteristic curve analy","dates":{"release":"2020-01-01T00:00:00Z","publication":"2020 Jun","modification":"2025-05-31T23:14:17.921Z","creation":"2025-05-31T23:14:17.921Z"},"accession":"S-EPMC10200519","cross_references":{"pubmed":["32172710"],"doi":["10.1017/s1368980019004191","10.1017/S1368980019004191"]}}