{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Choi HJ"],"funding":["Ministry of Science and ICT in 2020"],"pagination":["e10970"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC7950192"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["9"],"pubmed_abstract":["<h4>Background</h4>Metabolic disease due to increased fat mass is observed in amputees (APTs), thereby restricting their activity. Systemic health management with periodic body composition (BC) testing is essential for healthy living. Bioelectrical impedance analysis (BIA) is a non-invasive and low-cost method to test BC; however, the APTs are classified as being exempted in the BIA.<h4>Objective</h4>To develop segmental estimated regression equations (sEREs) for determining the fat-free mass (FFM, kg) suitable for APTs and improve the accuracy and validity of the sERE.<h4>Methods</h4>Seventy-five male APTs participated in this cross-sectional study. Multiple regression analysis was performed to develop highly accurate sEREs of BIA based on independent variables derived from anthropometric"],"journal":["PeerJ"],"pubmed_title":["Development and validation of bioimpedance prediction equations for fat-free mass in unilateral male amputees."],"pmcid":["PMC7950192"],"funding_grant_id":["2019-0-01758"],"pubmed_authors":["Ko CY","Kim CH","Choi HJ","Kim GS","Choi K","Chang Y"],"additional_accession":[]},"is_claimable":false,"name":"Development and validation of bioimpedance prediction equations for fat-free mass in unilateral male amputees.","description":"<h4>Background</h4>Metabolic disease due to increased fat mass is observed in amputees (APTs), thereby restricting their activity. Systemic health management with periodic body composition (BC) testing is essential for healthy living. Bioelectrical impedance analysis (BIA) is a non-invasive and low-cost method to test BC; however, the APTs are classified as being exempted in the BIA.<h4>Objective</h4>To develop segmental estimated regression equations (sEREs) for determining the fat-free mass (FFM, kg) suitable for APTs and improve the accuracy and validity of the sERE.<h4>Methods</h4>Seventy-five male APTs participated in this cross-sectional study. Multiple regression analysis was performed to develop highly accurate sEREs of BIA based on independent variables derived from anthropometric","dates":{"release":"2021-01-01T00:00:00Z","publication":"2021","modification":"2025-04-18T18:58:05.618Z","creation":"2025-04-07T06:42:46.518Z"},"accession":"S-EPMC7950192","cross_references":{"pubmed":["33732549"],"doi":["10.7717/peerj.10970"]}}