ArticleHealth psychology : official journal of the Division of Health Psychology, American Psychological Association2023
Longitudinal relationships between lifestyle risk factors and neurodevelopment in early adolescence.
Article in Health psychology : official journal of the Division of Health Psychology, American Psychological Association, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Association of body weight misperception and behavioral risk factors for non-communicable diseases among Vietnamese adolescents: A 3-year cohort study.Scientific reports · 2025Article
- Longitudinal analysis of the ABCD® study.Developmental cognitive neuroscience · 2025Review
- Longitudinal Sex-at-Birth and Age Analyses of Cortical Structure in the ABCD Study.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025Article
- Conceptualisation of health among young people: a systematic review and thematic synthesis of qualitative studies.BMJ public health · 2025Article
- Impact of Environmental Noise and Sleep Health on Pediatric Hypertension Incidence: ABCD Study.Journal of the American Heart Association · 2024Article
- Longitudinal Use Patterns of Technology Subtypes During the Transition Into Early Adolescence: Results From the Adolescent Brain Cognitive Development Study.The Journal of adolescent health : official publication of the Society for Adolescent Medicine · 2024Article
Corrections and comments
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Authors and funding
8 authors.
Funding
Abstract
objectiveThe 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.
methodData 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 confirmatory factor analysis, seven brain structure domains were extracted and labeled as temporal-parietal, frontotemporal, occipital, orbitofrontal, temporal, cingulate, parietal, and cuneus domains. All bivariate latent change score models accounted for age, sex at birth, race/ethnicity, parental education, and marital status.
resultsHigher lifestyle risk was associated with smaller brain volume at baseline. Higher baseline lifestyle risk was also associated with a greater rate of change (i.e., greater decreases) in brain volume for the temporal-parietal, frontotemporal, orbitofrontal, parietal, and cuneus domains. Effects were not reciprocal; baseline brain volume did not predict changes in lifestyle behaviors over time.
conclusionThese findings are important for understanding the biological mechanisms underpinning health risk factors and can be used to target interventions and improve brain health during this critical developmental phase. (PsycInfo Database Record (c) 2023 APA, all rights reserved).
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