{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,23]],"date-time":"2026-08-23T18:04:13Z","timestamp":1787508253486,"version":"build-2736575974"},"reference-count":44,"publisher":"Wiley","issue":"8","license":[{"start":{"date-parts":[[2024,7,12]],"date-time":"2024-07-12T00:00:00Z","timestamp":1720742400000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"funder":[{"DOI":"10.13039\/100009633","name":"Eunice Kennedy Shriver National Institute of Child Health and Human Development","doi-asserted-by":"publisher","award":["R21HD105129"],"award-info":[{"award-number":["R21HD105129"]}],"id":[{"id":"10.13039\/100009633","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100006545","name":"National Institute on Minority Health and Health Disparities","doi-asserted-by":"publisher","award":["R01MD011686"],"award-info":[{"award-number":["R01MD011686"]}],"id":[{"id":"10.13039\/100006545","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Obesity"],"published-print":{"date-parts":[[2024,8]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Objective<\/jats:title>\n                    <jats:p>Early screening prevents chronic diseases by identifying at\u2010risk adolescents through anthropometric measurements, but predictive value in diverse groups is uncertain.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>A cross\u2010sectional analysis of 12\u2010 to 19\u2010year\u2010old individuals from the 2017\u20132018 National Health and Nutrition Examination Survey (NHANES) assessed the predictive ability of BMI percentile, total body fat percentage, waist circumference (WC), and waist\u2010hip ratio (WHR) for four cardiometabolic risk factors across race and ethnicity groups using receiver operating characteristic curves.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      The unweighted sample (\n                      <jats:italic>N<\/jats:italic>\n                      \u2009=\u20091194; 51.2% male individuals; 23.7% Hispanic, 13.2% non\u2010Hispanic Black [NHB], 51.1% non\u2010Hispanic White [NHW], 12.0% other\/multirace) had a weighted prevalence of elevated blood pressure of 2.7%, hyperglycemia of 36.8%, hypertriglyceridemia of 4.8%, and low high\u2010density lipoprotein (HDL) cholesterol of 15%. WHR (area under the curve [AUC]\u2009=\u20090.77), WC (AUC\u2009=\u20090.77), and BMI percentile (AUC\u2009=\u20090.73) outperformed total body fat percentage (AUC\u2009=\u20090.56) in predicting elevated blood pressure (\n                      <jats:italic>p<\/jats:italic>\n                      \u2009&lt;\u20090.001 for all). BMI percentile was more accurate than total body fat percentage in predicting hypertriglyceridemia (AUC\u2009=\u20090.70 vs. 0.59;\n                      <jats:italic>p<\/jats:italic>\n                      \u2009=\u20090.02) and low HDL cholesterol (AUC\u2009=\u20090.69 vs. 0.59;\n                      <jats:italic>p<\/jats:italic>\n                      \u2009&lt;\u20090.001). Race and ethnicity\u2010based predictions varied: NHW adolescents had the highest AUC (0.89;\n                      <jats:italic>p<\/jats:italic>\n                      \u2009&lt;\u20090.01) for elevated blood pressure prediction compared with Hispanic and NHB adolescents (AUC\u2009=\u20090.77 for both). Total body fat percentage was more accurate in predicting low HDL cholesterol among Hispanic versus NHW adolescents (AUC\u2009=\u20090.73 vs. 0.58;\n                      <jats:italic>p<\/jats:italic>\n                      \u2009=\u20090.04).\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>WHR, WC, and BMI percentile are better predictors of cardiometabolic risk factors in adolescents than total body fat percentage. Predictive abilities differed by race and ethnicity, highlighting the importance of tailored risk assessment strategies.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1002\/oby.24090","type":"journal-article","created":{"date-parts":[[2024,7,12]],"date-time":"2024-07-12T04:40:12Z","timestamp":1720759212000},"page":"1558-1567","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":18,"title":["Anthropometry for predicting cardiometabolic disease risk factors in adolescents"],"prefix":"10.1002","volume":"32","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4499-0555","authenticated-orcid":false,"given":"Luyu","family":"Xie","sequence":"first","affiliation":[{"name":"Department of Epidemiology, Human Genetics and Environmental Sciences University of Texas Health Science Center at Houston, School of Public Health  Dallas Texas USA"},{"name":"Center for Pediatric Population Health School of Public Health, University of Texas Health Science Center  Dallas Texas USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Joohan","family":"Kim","sequence":"additional","affiliation":[{"name":"Center for Pediatric Population Health School of Public Health, University of Texas Health Science Center  Dallas Texas USA"},{"name":"Department of Chemistry Texas A&amp;M University  College Station Texas USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0462-0843","authenticated-orcid":false,"given":"Jaime P.","family":"Almandoz","sequence":"additional","affiliation":[{"name":"Department of Internal Medicine, Division of Endocrinology University of Texas Southwestern Medical Center  Dallas Texas USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"John","family":"Clark","sequence":"additional","affiliation":[{"name":"Department of Medicine University of California San Diego  San Diego California USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"M. Sunil","family":"Mathew","sequence":"additional","affiliation":[{"name":"Center for Pediatric Population Health School of Public Health, University of Texas Health Science Center  Dallas Texas USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1013-9298","authenticated-orcid":false,"given":"Bethany R.","family":"Cartwright","sequence":"additional","affiliation":[{"name":"Department of Pediatrics University of Texas Southwestern Medical Center  Dallas Texas USA"},{"name":"Touchstone Diabetes Center University of Texas Southwestern Medical Center  Dallas Texas USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1672-2126","authenticated-orcid":false,"given":"Sarah E.","family":"Barlow","sequence":"additional","affiliation":[{"name":"Department of Pediatrics University of Texas Southwestern Medical Center  Dallas Texas USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Steven E.","family":"Lipshultz","sequence":"additional","affiliation":[{"name":"Department of Pediatrics University at Buffalo Jacobs School of Medicine and Biomedical Sciences  Buffalo New York USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6685-2175","authenticated-orcid":false,"given":"Sarah E.","family":"Messiah","sequence":"additional","affiliation":[{"name":"Department of Epidemiology, Human Genetics and Environmental Sciences University of Texas Health Science Center at Houston, School of Public Health  Dallas Texas USA"},{"name":"Center for Pediatric Population Health School of Public Health, University of Texas Health Science Center  Dallas Texas USA"},{"name":"Department of Pediatrics McGovern Medical School, University of Texas Health Science Center at Houston  Houston Texas USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2024,7,12]]},"reference":[{"key":"e_1_2_10_2_1","unstructured":"StiermanB AffulJ CarrollMD et al.National Health and Nutrition Examination Survey 2017\u2013March 2020 prepandemic data files\u2014development of files and prevalence estimates for selected health outcomes. 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