{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,8]],"date-time":"2026-10-08T18:51:58Z","timestamp":1791485518025,"version":"4.3.4"},"reference-count":33,"publisher":"Public Library of Science (PLoS)","issue":"10","license":[{"start":{"date-parts":[[2026,10,8]],"date-time":"2026-10-08T00:00:00Z","timestamp":1791417600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/100019455","name":"\u0110\u1ea1i h\u1ecdc Kinh t\u1ebf Th\u00e0nh ph\u1ed1 H\u1ed3 Ch\u00ed Minh","doi-asserted-by":"publisher","award":["Not applicable (no award number provided)"],"award-info":[{"award-number":["Not applicable (no award number provided)"]}],"id":[{"id":"10.13039\/100019455","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100019455","name":"\u0110\u1ea1i h\u1ecdc Kinh t\u1ebf Th\u00e0nh ph\u1ed1 H\u1ed3 Ch\u00ed Minh","doi-asserted-by":"publisher","award":["Not applicable (no award number provided)"],"award-info":[{"award-number":["Not applicable (no award number provided)"]}],"id":[{"id":"10.13039\/100019455","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["www.plosone.org"],"crossmark-restriction":false},"short-container-title":["PLoS One"],"abstract":"<jats:p>Adolescent overweight and obesity are shaped by demographic, behavioral and psychosocial factors, but it remains unclear whether broader predictor information improves cross-sectional classification of current overweight\/obesity status more consistently than changing the machine-learning algorithm. This cross-sectional secondary analysis used 2023 Youth Risk Behavior Surveillance System data from 17,814 United States adolescents aged 12\u201318 years. Survey-aware multivariable logistic regression was used to identify independent correlates, while Random Forest and XGBoost were evaluated under base and extended predictor frameworks. Models were assessed on a held-out test set for discrimination, threshold-dependent performance, calibration and interpretability. The prevalence of overweight\/obesity was 31.8%. Male sex and Black or African American and Hispanic\/Latino race\/ethnicity were associated with higher odds of overweight\/obesity, whereas higher moderate-to-vigorous physical activity and more frequent breakfast intake were associated with lower odds. Extended models outperformed their corresponding base models: ROC-AUC increased from 0.6241 to 0.6894 for Random Forest and from 0.6217 to 0.6724 for XGBoost. RF-Extended was selected for calibration and interpretation. Isotonic recalibration preserved discrimination while improving probability reliability, reducing the Brier score from 0.2126 to 0.1960 and expected calibration error from 0.1160 to 0.0213. Exploratory SHAP analysis identified sex, race\/ethnicity, physical activity, sleep duration, age and breakfast frequency among the features contributing most strongly to RF-Extended output. Because predictors and BMI status were measured during the same survey cycle, the models classify current status and should not be interpreted as predicting future obesity. Any screening or prevention application, including potential use in Vietnamese adolescent populations, would require prospective and external validation.<\/jats:p>","DOI":"10.1371\/journal.pone.0360155","type":"journal-article","created":{"date-parts":[[2026,10,8]],"date-time":"2026-10-08T17:51:11Z","timestamp":1791481871000},"page":"e0360155","update-policy":"https:\/\/doi.org\/10.1371\/journal.pone.corrections_policy","source":"Crossref","is-referenced-by-count":0,"title":["Broader factors associated with current adolescent overweight\/obesity status in YRBSS 2023: Survey-aware analysis and calibrated AI-assisted classification"],"prefix":"10.1371","volume":"21","author":[{"given":"Thu Hoang","family":"Thanh","sequence":"first","affiliation":[{"name":"University of Economics","place":["Ho Chi Minh City, Vietnam"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Nhan Nguyen","family":"Thi","sequence":"additional","affiliation":[{"name":"University of Medicine and Pharmacy","place":["Ho Chi Minh City, Vietnam"],"department":["Department of Midwifery, Faculty of Nursing and Medical Technology"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0009-7855-2044","authenticated-orcid":true,"given":"Toan","family":"Nguyen Khac","sequence":"additional","affiliation":[{"name":"Institute of Intelligent and Interactive Technologies, University of Economics","place":["Ho Chi Minh City, Vietnam"]}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"340","published-online":{"date-parts":[[2026,10,8]]},"reference":[{"issue":"8","key":"pone.0360155.ref001","doi-asserted-by":"crossref","first-page":"800","DOI":"10.1001\/jamapediatrics.2024.1576","article-title":"Global prevalence of overweight and obesity in children and adolescents: A systematic review and meta-analysis","volume":"178","author":"X Zhang","year":"2024","journal-title":"JAMA Pediatr"},{"issue":"10431","key":"pone.0360155.ref002","doi-asserted-by":"crossref","first-page":"1027","DOI":"10.1016\/S0140-6736(23)02750-2","article-title":"Worldwide trends in underweight and obesity from 1990 to 2022: a pooled analysis of 3663 population-representative studies with 222 million children, adolescents, and adults","volume":"403","author":"N-R NCD Risk Factor Collaboration","year":"2024","journal-title":"Lancet"},{"key":"pone.0360155.ref003","unstructured":"World Health Organization. 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