biostudies-literatureMewton LNIDA NIH HHSNIAAA NIH HHSNational Institutes of HealthNIH HHS904-912https://www.ebi.ac.uk/biostudies/studies/S-EPMC10840638biostudies-literatureUnknown42(12)<h4>Objective</h4>The goal of this study is to investigate the cross-sectional and longitudinal relationships between clustered lifestyle risk factors (sleep, physical activity, body mass index [BMI], and screen time) and neurodevelopment over the early adolescent period.<h4>Method</h4>Data from the ABCD Study Data Release 3.0 consisted of 11,878 participants (aged 9-10 years) at baseline and 6,571 participants (aged 11-12 years) at 2-year follow-up. The interrelationships between lifestyle risk factors and brain structure were analyzed using bivariate multiple indicator latent change score models. Using confirmatory factor analysis, a single lifestyle risk factor domain (measured by sleep, physical activity, BMI, and screen time) was shown to fit the data well. Using exploratory and confiHealth psychology : official journal of the Division of Health Psychology, American Psychological AssociationLongitudinal relationships between lifestyle risk factors and neurodevelopment in early adolescence.PMC10840638R01 AA027399U01 DA041117U01 DA041106U24 DA041123U01 DA041028U24 DA041147U01 DA041093; K23 AA025399; R01 AA027399U01 DA041089U01 DA041022U01 DA041120U01 DA041174U01 DA041148U01 DA041048U01 DA041134U01 DA041156K23 AA025399U01 DA041093Sunderland MTeesson MMewton LNewton NSqueglia LMHoy NChampion KDavies SfalseLongitudinal relationships between lifestyle risk factors and neurodevelopment in early adolescence.<h4>Objective</h4>The goal of this study is to investigate the cross-sectional and longitudinal relationships between clustered lifestyle risk factors (sleep, physical activity, body mass index [BMI], and screen time) and neurodevelopment over the early adolescent period.<h4>Method</h4>Data from the ABCD Study Data Release 3.0 consisted of 11,878 participants (aged 9-10 years) at baseline and 6,571 participants (aged 11-12 years) at 2-year follow-up. The interrelationships between lifestyle risk factors and brain structure were analyzed using bivariate multiple indicator latent change score models. Using confirmatory factor analysis, a single lifestyle risk factor domain (measured by sleep, physical activity, BMI, and screen time) was shown to fit the data well. Using exploratory and confi2023-01-01T00:00:00Z2023 Dec2026-05-29T10:11:05.934Z2026-04-08T04:23:53.437ZS-EPMC108406383761610210.1037/hea0001248