Beyond the Percentile: CDC-referenced BMI-for-Age and Brain Structure Across Childhood and Adolescence
Beck, D.; Westlye, L. T.; Tamnes, C. K.
Show abstract
Importance: Pediatric obesity affects 1 in 5 US children and has been linked to brain structural differences. Most evidence is cross-sectional and models body mass index (BMI) linearly, with metrics that compress severe obesity. Objective: To examine associations between brain structure and BMI for age across the weight spectrum and Centers for Disease Control and Prevention (CDC) weight status categories, distinguishing between and within person associations, and their age and sex moderation. Design, Setting, and Participants: Longitudinal cohort study of youth aged 8 to 10 years at baseline in the US community based Adolescent Brain Cognitive Development Study (4 waves, 2016 to 2025; ages 8 to 18 years). Exposures: Extended CDC BMI-for-age z-score, grouped by wave-mean z-score: underweight (<5th percentile, n=297), healthy weight (5th to <85th, n=7,452), overweight (85th to <95th, n=1,919), and obesity ([≥]95th, n=1,842). Main Outcomes and Measures: Cortical thickness (12 regions) and subcortical volume (7 regions) from T1 weighted magnetic resonance imaging (MRI), defined a priori. Results: Among 11,510 participants contributing 32,212 observations (mean [SD] age, 12.6 [2.5] years; 52.2% male), higher between person BMI for age z was associated with lower frontal and temporal thickness (6 regions) and larger subcortical volume (5 regions; all q < .001), but associations were nonlinear (17 of 19 regions). Youth with obesity had lower thickness than healthy weight youth in 8 frontal and temporal regions (largest, -0.21 SD; q < .001), with dorsal frontal differences decreasing across adolescence; underweight youth had smaller subcortical volumes. Higher BMI for age z was associated with larger subcortical volume (all 7 regions) within the healthy weight category and lower cortical thickness (11 of 12 regions; fusiform: {beta} = -0.27; q < .001) within the obesity category, steeper than in healthy weight youth in 10 regions, but not in overweight or underweight youth. Within person associations did not reproduce the obesity associations, reversed from negative at age 10 to positive at age 16, and were more negative in female than male participants. Conclusions and Relevance: Youth with obesity had lower cortical thickness than healthy weight peers, but associations between brain structure and BMI for age differed between CDC weight status groups, suggesting a complex relationship between adiposity and brain structure.
Matching journals
The top 1 journal accounts for 50% of the predicted probability mass.
Similar papers in this journal
- Combined effects of age and BMI are related to altered cortical thickness in adolescence and adulthood 96%
- Puberty differentially predicts brain maturation in males and females during early adolescence: A longitudinal ABCD Study 94%
- Cross-sectional and longitudinal associations of family income-to-needs ratio with cortical and subcortical brain volume in adolescent boys and girls 94%
Similar papers in this journal
- Prenatal Exposure to Early Life Adversity and Neonatal Brain Volumes at Birth 92%
- Associations between socioeconomic status and white matter microstructure in children: indirect effects via obesity and cognition 91%
- Integrated Analysis of Preterm Birth and Socioeconomic Status with Neonatal Brain Structure 90%
Similar papers in this journal
- Genetic and environmental influences on educational disparities in adult weight change: an individual-based pooled analysis of 11 twin cohorts 92%
- Higher BMI, but not obesity-related genetic polymorphisms, correlates with reduced structural connectivity of the reward network 91%
- Relationship between impulsivity, uncontrolled eating and body mass index: a hierarchical model 91%
Similar papers in this journal
- Analysis of structural brain asymmetries in Attention-Deficit/Hyperactivity Disorder in 39 datasets 92%
- Breastfeeding duration is associated with larger cortical gray matter volumes in children from the ABCD study 92%
- Brain Connectomics and Severity of Internalizing Symptoms in Early Adolescence Predict Severity of Suicidal Ideation in Later Adolescence 91%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.