{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,5,13]],"date-time":"2025-05-13T15:45:12Z","timestamp":1747151112748,"version":"3.40.5"},"reference-count":48,"publisher":"Wiley","issue":"4","license":[{"start":{"date-parts":[[2024,3,26]],"date-time":"2024-03-26T00:00:00Z","timestamp":1711411200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"funder":[{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"publisher","award":["HD33487","HL088530"],"award-info":[{"award-number":["HD33487","HL088530"]}],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Obesity"],"published-print":{"date-parts":[[2024,4]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:sec><jats:title>Objective<\/jats:title><jats:p>The objective of this study was to assess whether inhibitory task performance in adolescence could be prospectively related to weight gain in young adulthood. We proposed that this association would differ according to the BMI group in adolescence.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>A total of 318 adolescents performed the anti\u2010saccade task, and 530 completed the Stroop test. Accuracy and reaction time were assessed for each incentive type (neutral, loss, and reward) in the anti\u2010saccade task and for each trial type (control and incongruent trials) in the Stroop test. Changes in the BMI <jats:italic>z<\/jats:italic> score (\u2206BMI <jats:italic>z<\/jats:italic> score) from adolescence to young adulthood were calculated.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>The relationship between the BMI <jats:italic>z<\/jats:italic> score and the anti\u2010saccade task accuracy showed an effect on the \u2206BMI <jats:italic>z<\/jats:italic> score (\u03b2\u2009=\u2009\u22120.002, <jats:italic>p<\/jats:italic>\u2009&lt;\u20090.05). The neutral and loss accuracies were related to \u2206BMI <jats:italic>z<\/jats:italic> score in the groups with overweight (all \u03b2\u2009=\u2009\u22120.004, <jats:italic>p<\/jats:italic>\u2009=\u20090.05) and obesity (\u03b2\u2009=\u2009\u22120.006 and \u03b2\u2009=\u2009\u22120.005, <jats:italic>p<\/jats:italic>\u2009&lt;\u20090.01). The interaction between adolescents' BMI <jats:italic>z<\/jats:italic> score with control (\u03b2\u2009=\u2009\u22120.312, <jats:italic>p<\/jats:italic>\u2009&lt;\u20090.001) and incongruent (\u03b2\u2009=\u2009\u22120.384, <jats:italic>p<\/jats:italic>\u2009&lt;\u20090.001) trial reaction times showed an effect on the \u2206BMI <jats:italic>z<\/jats:italic> score. Control (\u03b2\u2009=\u20090.730, <jats:italic>p<\/jats:italic>\u2009=\u20090.036) and incongruent (\u03b2\u2009=\u20090.535, <jats:italic>p<\/jats:italic>\u2009=\u20090.033) trial reaction times were related to \u2206BMI <jats:italic>z<\/jats:italic> score in the group with overweight.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusions<\/jats:title><jats:p>Our findings support the hypothesis that cognitive vulnerability could predict the BMI gain from adolescence to young adulthood.<\/jats:p><\/jats:sec>","DOI":"10.1002\/oby.23978","type":"journal-article","created":{"date-parts":[[2024,3,26]],"date-time":"2024-03-26T07:49:32Z","timestamp":1711439372000},"page":"768-777","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Neurocognitive factors predicting <scp>BMI<\/scp> changes from adolescence to young adulthood"],"prefix":"10.1002","volume":"32","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7351-1176","authenticated-orcid":false,"given":"Sussanne","family":"Reyes","sequence":"first","affiliation":[{"name":"Laboratory of Sleep and Functional Neurobiology Institute of Nutrition and Food Technology, University of Chile  Santiago Chile"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Patricio","family":"Peirano","sequence":"additional","affiliation":[{"name":"Laboratory of Sleep and Functional Neurobiology Institute of Nutrition and Food Technology, University of Chile  Santiago Chile"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sheila","family":"Gahagan","sequence":"additional","affiliation":[{"name":"Academic General Pediatrics, Child Development, and Community Health University of California, San Diego  San Diego California USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Estela","family":"Blanco","sequence":"additional","affiliation":[{"name":"Society and Health Research Center and Millennium Nucleus of Sociomedicine Universidad Mayor  Santiago Chile"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Cecilia","family":"Algar\u00edn","sequence":"additional","affiliation":[{"name":"Laboratory of Sleep and Functional Neurobiology Institute of Nutrition and Food Technology, University of Chile  Santiago Chile"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2024,3,26]]},"reference":[{"doi-asserted-by":"publisher","key":"e_1_2_11_2_1","DOI":"10.1016\/j.canep.2016.02.010"},{"doi-asserted-by":"publisher","key":"e_1_2_11_3_1","DOI":"10.1007\/s11883-016-0575-4"},{"unstructured":"World Health Organization.Obesity and overweightUpdated June 9 2021.https:\/\/www.who.int\/news-room\/fact-sheets\/detail\/obesity-and-overweight","key":"e_1_2_11_4_1"},{"unstructured":"Ministry of Health Chile.National Health Survey: first results 2016\u201317.https:\/\/www.minsal.cl\/wp\u2010content\/uploads\/2017\/11\/ENS\u20102016\u201017_PRIMEROS\u2010RESULTADOS.pdf","key":"e_1_2_11_5_1"},{"unstructured":"JUNAEB. 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