{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,9]],"date-time":"2026-07-09T11:24:45Z","timestamp":1783596285023,"version":"3.55.0"},"reference-count":108,"publisher":"Human Kinetics","issue":"4","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020,10,1]]},"abstract":"<jats:p>The purpose of this study was to develop and cross-validate an equation for estimating percentage body fat (%BF) from body mass index and other potential independent variables among young persons with intellectual disability. Participants were 128 persons with intellectual disability (62 women; age 16\u201324\u00a0years) split between development (<jats:italic>n<\/jats:italic>\u2009=\u200998) and cross-validation (<jats:italic>n<\/jats:italic>\u2009=\u200930) samples. Dual-energy X-ray absorptiometry served as the reference method for %BF. An equation including 1\/body mass index and sex (0\u2009=\u2009male; 1\u2009=\u2009female) was highly accurate in estimating %BF (<jats:italic>p<\/jats:italic>\u2009&lt;\u2009.001; <jats:italic>R<\/jats:italic><jats:sup>2<\/jats:sup>\u2009=\u2009.82; standard error of estimate \u2009=\u20095.22%). Mean absolute and root mean square errors were small (3.1% and 3.9%, respectively). A Bland\u2013Altman plot indicated nearly zero mean difference between actual and predicted %BF with modest 95% confidence intervals. The prediction equation was %BF\u2009=\u200956.708\u2009\u2212\u2009(729.200\u2009\u00d7\u2009[1\/body mass index])\u2009+\u2009(12.134\u2009\u00d7\u2009sex). Health care professionals may use the prediction equation for monitoring %BF among young people with intellectual disability.<\/jats:p>","DOI":"10.1123\/apaq.2019-0150","type":"journal-article","created":{"date-parts":[[2020,10,1]],"date-time":"2020-10-01T14:38:13Z","timestamp":1601563093000},"page":"481-497","source":"Crossref","is-referenced-by-count":2,"title":["Development and Cross-Validation of a Prediction Equation for Estimating Percentage Body Fat From Body Mass Index in Young People With Intellectual Disability"],"prefix":"10.1123","volume":"37","author":[{"given":"Fabio","family":"Bertapelli","sequence":"first","affiliation":[{"name":"1University of Campinas"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Stamatis","family":"Agiovlasitis","sequence":"additional","affiliation":[{"name":"2Mississippi State University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Robert W.","family":"Motl","sequence":"additional","affiliation":[{"name":"3University of Alabama at Birmingham"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Roberto A.","family":"Soares","sequence":"additional","affiliation":[{"name":"4S\u00e3o Paulo State Federation of APAES"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Marcos M.","family":"de Barros-Filho","sequence":"additional","affiliation":[{"name":"1University of Campinas"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wilson D.","family":"do Amaral-Junior","sequence":"additional","affiliation":[{"name":"1University of Campinas"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Gil","family":"Guerra-Junior","sequence":"additional","affiliation":[{"name":"1University of Campinas"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"100","reference":[{"key":"ref421","doi-asserted-by":"crossref","first-page":"787","DOI":"10.1111\/j.1365-2788.2010.01305.x","article-title":"Obesity and obesity-related secondary conditions in adolescents with intellectual\/developmental disabilities","volume":"54","author":"Rimmer","year":"2010","journal-title":"Journal of Intellectual Disability Research,"},{"key":"ref1111","volume-title":"Wechsler intelligence scale for children","author":"Wechsler","year":"2014"},{"key":"ref851","doi-asserted-by":"crossref","first-page":"1914","DOI":"10.1016\/j.ridd.2014.04.014","article-title":"Lifestyle interventions targeting changes in body weight and composition among youth with an intellectual disability: A systematic review","volume":"35","author":"Ma\u00efano","year":"2014","journal-title":"Research in Developmental Disabilities,"},{"key":"ref71","doi-asserted-by":"crossref","first-page":"11","DOI":"10.1186\/s12939-016-0296-x","article-title":"The physical health of British adults with intellectual disability: Cross sectional study","volume":"15,","author":"Emerson","year":"2016","journal-title":"International Journal for Equity in Health,"},{"key":"ref151","doi-asserted-by":"crossref","first-page":"229","DOI":"10.1089\/10445460152595559","article-title":"Weight gain in a controlled study of risperidone in children, adolescents and adults with mental retardation and autism","volume":"11","author":"Hellings","year":"2001","journal-title":"Journal of Child and Adolescent Psychopharmacology,"},{"key":"ref561","doi-asserted-by":"crossref","first-page":"1561","DOI":"10.1002\/oby.21495","article-title":"Relationship between body fat and BMI in a US hispanic population-based cohort study: Results from HCHS\/SOL","volume":"24","author":"Wong","year":"2016","journal-title":"Obesity,"},{"key":"ref791","doi-asserted-by":"crossref","first-page":"431","DOI":"10.1111\/jar.12067","article-title":"Health disparities of adults with intellectual disabilities: What do we know? 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