Evidence map›Paper›PMID 31816020›Full record

ArticleJAMA pediatrics2020

Associations Among Body Mass Index, Cortical Thickness, and Executive Function in Children.

Jennifer S Laurent, Richard Watts, Shana Adise, Nicholas Allgaier, Bader Chaarani, Hugh Garavan, Alexandra Potter, Scott Mackey

Open access · bronzeAbstract read
In one paragraph

Article in JAMA pediatrics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 103 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
103citing papers in PubMed, 3 pooled it
28.8field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

103 citing papers in PubMed, 3 syntheses or guidelines pooled it, 166 citations in OpenAlex.

  1. Pooled it
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  6. Feasibility of ConcurrentNMR in biomedicine · 2026
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43 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 2 institutions in 1 country.

Jennifer S LaurentDepartment of Nursing, College of Nursing and Health Sciences, University of Vermont, Burlington.
Richard WattsMagnetic Resonance Imaging Facility, Yale University, New Haven, Connecticut.
Shana AdiseDepartment of Psychiatry, Larner College of Medicine, University of Vermont, Burlington.
Nicholas AllgaierDepartment of Psychiatry, Larner College of Medicine, University of Vermont, Burlington.
Bader ChaaraniDepartment of Psychiatry, Larner College of Medicine, University of Vermont, Burlington.
Hugh GaravanDepartment of Psychiatry, Larner College of Medicine, University of Vermont, Burlington.
Alexandra PotterDepartment of Psychiatry, Larner College of Medicine, University of Vermont, Burlington.
Scott MackeyDepartment of Psychiatry, Larner College of Medicine, University of Vermont, Burlington.
University of Vermont · USYale University · US

Funding

ABCD-USA Consortium: Coordinating CenterU24DA041147 · NIDA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI SANDRA A BROWN, TERRY L. JERNIGAN · 2015 to 2026
$54.7M
ABCD-USA Consortium: Data Analysis, Informatics and Resource CenterU24DA041123 · NIDA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI ANDERS M DALE · 2015 to 2026
$51.5M
NIDA NIH HHS U24 DA041123NIDA NIH HHS U24 DA041147
6 · The paper itself

Abstract

Importance: A total of 25.7 million children in the United States are classified as overweight or obese. Obesity is associated with deficits in executive function, which may contribute to poor dietary decision-making. Less is known about the associations between being overweight or obese and brain development. Objective: To examine whether body mass index (BMI) is associated with thickness of the cerebral cortex and whether cortical thickness mediates the association between BMI and executive function in children. Design, Setting, and Participants: In this cross-sectional study, cortical thickness maps were derived from T1-weighted structural magnetic resonance images of a large, diverse sample of 9 and 10-year-old children from 21 US sites. List sorting, flanker, matrix reasoning, and Wisconsin card sorting tasks were used to assess executive function. Main Outcomes and Measures: A 10-fold nested cross-validation general linear model was used to assess mean cortical thickness from BMI across cortical brain regions. Associations between BMI and executive function were explored with Pearson partial correlations. Mediation analysis examined whether mean prefrontal cortex thickness mediated the association between BMI and executive function. Results: Among 3190 individuals (mean [SD] age, 10.0 [0.61] years; 1627 [51.0%] male), those with higher BMI exhibited lower cortical thickness. Eighteen cortical regions were significantly inversely associated with BMI. The greatest correlations were observed in the prefrontal cortex. The BMI was inversely correlated with dimensional card sorting (r = -0.088, P < .001), list sorting (r = -0.061, P < .003), and matrix reasoning (r = -0.095, P < .001) but not the flanker task. Mean prefrontal cortex thickness mediated the association between BMI and list sorting (mean [SE] indirect effect, 0.014 [0.008]; 95% CI, 0.001-0.031) but not the matrix reasoning or card sorting task. Conclusions and Relevance: These results suggest that BMI is associated with prefrontal cortex development and diminished executive functions, such as working memory.

Indexed as

Body Mass IndexCerebral CortexChildCross-Sectional StudiesExecutive FunctionFemaleHumansMaleOrgan SizePediatric ObesityPrefrontal Cortex

Identifiers

PMID31816020
PMCPMC6902097
OpenAlexW2992052501

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.