{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Wong MC"],"funding":["NIDDK NIH HHS","National Institute of Diabetes and Digestive and Kidney Diseases","NHLBI NIH HHS","NCI NIH HHS","National Institutes of Health"],"pagination":["657-671"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC10517211"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["118(3)"],"pubmed_abstract":["<h4>Background</h4>The obesity epidemic brought a need for accessible methods to monitor body composition, as excess adiposity has been associated with cardiovascular disease, metabolic disorders, and some cancers. Recent 3-dimensional optical (3DO) imaging advancements have provided opportunities for assessing body composition. However, the accuracy and precision of an overall 3DO body composition model in specific subgroups are unknown.<h4>Objectives</h4>This study aimed to evaluate 3DO's accuracy and precision by subgroups of age, body mass index, and ethnicity.<h4>Methods</h4>A cross-sectional analysis was performed using data from the Shape Up! Adults study. Each participant received duplicate 3DO and dual-energy X-ray absorptiometry (DXA) scans. 3DO meshes were digitally registered a"],"journal":["The American journal of clinical nutrition"],"pubmed_title":["Accuracy and Precision of 3-dimensional Optical Imaging for Body Composition by Age, BMI, and Ethnicity."],"pmcid":["PMC10517211"],"funding_grant_id":["T32 HL115505","P30 DK072476","R01 DK109008","R01DK109008","P30 DK098722","P30 CA071789"],"pubmed_authors":["Wong MC","Garber AK","Kelly NN","Bennett JP","Leong LT","Tian IY","Chow D","Maskarinec G","Quon B","Liu YE","Heymsfield SB","Shepherd JA","Pujades S","McCarthy C"],"additional_accession":[]},"is_claimable":false,"name":"Accuracy and Precision of 3-dimensional Optical Imaging for Body Composition by Age, BMI, and Ethnicity.","description":"<h4>Background</h4>The obesity epidemic brought a need for accessible methods to monitor body composition, as excess adiposity has been associated with cardiovascular disease, metabolic disorders, and some cancers. Recent 3-dimensional optical (3DO) imaging advancements have provided opportunities for assessing body composition. However, the accuracy and precision of an overall 3DO body composition model in specific subgroups are unknown.<h4>Objectives</h4>This study aimed to evaluate 3DO's accuracy and precision by subgroups of age, body mass index, and ethnicity.<h4>Methods</h4>A cross-sectional analysis was performed using data from the Shape Up! Adults study. Each participant received duplicate 3DO and dual-energy X-ray absorptiometry (DXA) scans. 3DO meshes were digitally registered a","dates":{"release":"2023-01-01T00:00:00Z","publication":"2023 Sep","modification":"2026-06-02T22:54:55.841Z","creation":"2025-04-06T17:11:29.108Z"},"accession":"S-EPMC10517211","cross_references":{"pubmed":["37474106"],"doi":["10.1016/j.ajcnut.2023.07.010"]}}