<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Wong MC</submitter><funding>NIDDK NIH HHS</funding><funding>National Institute of Diabetes and Digestive and Kidney Diseases</funding><funding>NHLBI NIH HHS</funding><funding>NCI NIH HHS</funding><funding>National Institutes of Health</funding><pagination>657-671</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC10517211</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>118(3)</volume><pubmed_abstract>&lt;h4>Background&lt;/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.&lt;h4>Objectives&lt;/h4>This study aimed to evaluate 3DO's accuracy and precision by subgroups of age, body mass index, and ethnicity.&lt;h4>Methods&lt;/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</pubmed_abstract><journal>The American journal of clinical nutrition</journal><pubmed_title>Accuracy and Precision of 3-dimensional Optical Imaging for Body Composition by Age, BMI, and Ethnicity.</pubmed_title><pmcid>PMC10517211</pmcid><funding_grant_id>T32 HL115505</funding_grant_id><funding_grant_id>P30 DK072476</funding_grant_id><funding_grant_id>R01 DK109008</funding_grant_id><funding_grant_id>R01DK109008</funding_grant_id><funding_grant_id>P30 DK098722</funding_grant_id><funding_grant_id>P30 CA071789</funding_grant_id><pubmed_authors>Wong MC</pubmed_authors><pubmed_authors>Garber AK</pubmed_authors><pubmed_authors>Kelly NN</pubmed_authors><pubmed_authors>Bennett JP</pubmed_authors><pubmed_authors>Leong LT</pubmed_authors><pubmed_authors>Tian IY</pubmed_authors><pubmed_authors>Chow D</pubmed_authors><pubmed_authors>Maskarinec G</pubmed_authors><pubmed_authors>Quon B</pubmed_authors><pubmed_authors>Liu YE</pubmed_authors><pubmed_authors>Heymsfield SB</pubmed_authors><pubmed_authors>Shepherd JA</pubmed_authors><pubmed_authors>Pujades S</pubmed_authors><pubmed_authors>McCarthy C</pubmed_authors></additional><is_claimable>false</is_claimable><name>Accuracy and Precision of 3-dimensional Optical Imaging for Body Composition by Age, BMI, and Ethnicity.</name><description>&lt;h4>Background&lt;/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.&lt;h4>Objectives&lt;/h4>This study aimed to evaluate 3DO's accuracy and precision by subgroups of age, body mass index, and ethnicity.&lt;h4>Methods&lt;/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</description><dates><release>2023-01-01T00:00:00Z</release><publication>2023 Sep</publication><modification>2026-06-02T22:54:55.841Z</modification><creation>2025-04-06T17:11:29.108Z</creation></dates><accession>S-EPMC10517211</accession><cross_references><pubmed>37474106</pubmed><doi>10.1016/j.ajcnut.2023.07.010</doi></cross_references></HashMap>