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Childhood obesity’s effect on cognition and brain connectivity worsens with low family income
Dardo Tomasi, Nora D. Volkow
Dardo Tomasi, Nora D. Volkow
Published July 9, 2024
Citation Information: JCI Insight. 2024;9(16):e181690. https://doi.org/10.1172/jci.insight.181690.
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Clinical Research and Public Health Development Neuroscience

Childhood obesity’s effect on cognition and brain connectivity worsens with low family income

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Abstract

Childhood obesity and its adverse health consequences have risen worldwide, with low socioeconomic status increasing the risk in high-income countries like the United States. Understanding the interplay between childhood obesity, cognition, socioeconomic factors, and the brain is crucial for prevention and treatment. Using data from the Adolescent Brain Cognitive Development (ABCD) study, we investigated how body mass index (BMI) relates to brain structural and functional connectivity metrics. Children with obesity or who are overweight (n = 2,356) were more likely to live in poverty and exhibited lower cognitive performance compared with children with a healthy weight (n = 4,754). Higher BMI was associated with multiple brain measures that were strongest for lower longitudinal diffusivity in corpus callosum; increased activity in cerebellum, insula, and somatomotor cortex; and decreased functional connectivity in multimodal brain areas, with effects more pronounced among children from low-income families. Notably, nearly 80% of the association of low income and 70% of the association of impaired cognition on BMI were mediated by higher brain activity in somatomotor areas. Increased resting activity in somatomotor areas and decreased structural and functional connectivity likely contribute to the higher risk of being overweight or having obesity among children from low-income families. Supporting low-income families and implementing educational interventions to improve cognition may promote healthy brain function and reduce the risk of obesity.

Authors

Dardo Tomasi, Nora D. Volkow

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Figure 2

Associations with BMI and age in white matter diffusion.

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Associations with BMI and age in white matter diffusion.
(A and B) Corre...
(A and B) Correlations with age (A) and BMI (B) for brain volume–corrected fractional anisotropy (FA) and mean (MD), longitudinal (lD) and radial (rD) diffusivities in 42 major white matter fiber bundles across Discovery (n = 2,386; 1,625 healthy weight and 761 obese/overweight) and Replication (n = 2,411; 1,609 healthy weight and 802 obese/overweight) subsamples. (C–F) Linear associations of lD in corpus callosum with age (C), BMI (D), family income bracket (E), and fluid cognitive composite score (F). Only data collected in Siemens MRI scanners were used for this analysis. The statistical analysis employed an ANCOVA model with a FDR corrected threshold pFDR < 0.05. BMI percentiles based on age and sex were used to determine weight categories.

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