Evidence map›Paper›PMID 31216571›Full record

ArticleThe American journal of clinical nutrition2019

Genetic overlap between executive functions and BMI in childhood.

Alexis C Wood, Uku Vainik, Laura E Engelhardt, Daniel A Briley, Andrew D Grotzinger, Jessica A Church, K Paige Harden, Elliot M Tucker-Drob

Open access · greenAbstract read
In one paragraph

Article in The American journal of clinical nutrition, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.2field-weighted citation impact, top 12% 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

14 citing papers in PubMed, 19 citations in OpenAlex.

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  10. The orbitofrontal cortex, food intake and obesityJournal of psychiatry & neuroscience : JPN · 2020
    Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 4 institutions in 3 countries.

Alexis C WoodChildren's Nutrition Research Center, Baylor College of Medicine, Houston, TX, USA.
Uku VainikMontreal Neurological Institute, McGill University, Montreal, Quebec, Canada.
Laura E EngelhardtDepartment of Psychology, University of Texas at Austin, Austin, TX, USA.
Daniel A BrileyDepartment of Psychology, University of Illinois at Urbana-Champaign, Champaign, IL, USA.
Andrew D GrotzingerDepartment of Psychology, University of Texas at Austin, Austin, TX, USA.
Jessica A ChurchDepartment of Psychology, University of Texas at Austin, Austin, TX, USA.
K Paige HardenDepartment of Psychology, University of Texas at Austin, Austin, TX, USA.
Elliot M Tucker-DrobDepartment of Psychology, University of Texas at Austin, Austin, TX, USA.
The University of Texas at Austin · USChildren's Nutrition Research Center at Baylor College of Medicine · USMontreal Neurological Institute and Hospital · CAUniversity of Illinois Urbana-Champaign · US

Funding

Population Research CenterR24HD042849 · NICHD · UNIVERSITY OF TEXAS AUSTIN · PI HAYWARD, MARK D. · 2002 to 2016
$8.4M
Scientific & Technical CoreP2CHD042849 · NICHD · UNIVERSITY OF TEXAS AT AUSTIN · PI Elizabeth T. Gershoff · 2017 to 2026
$5.2M
Cortisol, Socioeconomic Status, and Genetic Influences on Cognitive DevelopmentR01HD083613 · NICHD · UNIVERSITY OF TEXAS AT AUSTIN · PI TUCKER-DROB, ELLIOT MAX · 2016 to 2020
$3.0M
Chronic stress and executive function in children: a neuroimaging study of twinsR21HD081437 · NICHD · UNIVERSITY OF TEXAS AT AUSTIN · PI CHURCH-LANG, JESSICA ALICE, TUCKER-DROB, ELLIOT MAX · 2015 to 2016
$425k
NICHD NIH HHS P2C HD042849NICHD NIH HHS R01 HD083613NICHD NIH HHS R21 HD081437NICHD NIH HHS R24 HD042849
6 · The paper itself

Abstract

backgroundExecutive functions (EFs) comprise a group of cognitive processes that selectively control and regulate attention. Inverse relations have been reported between EFs and BMI. However, the mechanisms underlying this association are not well understood.

objectivesWe aimed to decompose the inverse relation between EFs and BMI into genetic and environmental components.

methodsWe employed a cross-sectional analysis of data from 869 twins aged 7-15 y from the Texas Twin Project, who completed a neuropsychological test battery measuring 4 EFs (switching, inhibitory control, working memory, and updating); academic achievement (reading and mathematics); and general cognitive abilities (general intelligence/intelligence quotient; crystallized and fluid intelligence; and processing speed). Participants also had their height and weight measured.

resultsAfter controlling for age, sex, and race/ethnicity, BMI was inversely associated with a general EF factor representing the capacity to control and regulate goal-oriented behaviors (r = -0.125; P = 0.01; Q = 0.04). This inverse BMI-EF association was due to a significant overlap in genetic factors contributing to each phenotype (genetic correlation, rA, = -0.15; P < 0.001). Shared genetic influences accounted for 80% of the phenotypic association.

conclusionsChildren with higher general EF have lower BMIs, and this association is primarily attributable to shared genetic influences on both phenotypes. The results emphasize that higher weight associates not only with physical sequelae, but also with important cognitive attributes. This work adds to a growing body of research suggesting there are sets of genetic variants common across physical health and cognitive functioning.

Indexed as

Body Mass IndexAdolescentChildExecutive FunctionFemaleHumansMaleNeuropsychological TestsOverweightTwinsBMIexecutive functiongeneral cognitive abilitytwin studyupdating

Identifiers

PMID31216571
PMCPMC6766443
OpenAlexW2951678165

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.