Evidence map›Paper›PMID 37544571›Full record

ReviewPhysiology & behavior2023

Biobehavioral susceptibility for obesity in childhood: Behavioral, genetic and neuroimaging studies of appetite.

Susan Carnell, Gita Thapaliya, Elena Jansen, Liuyi Chen

Open access · greenAbstract readReview
In one paragraph

Review in Physiology & behavior, 2023. 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
5.6field-weighted citation impact, top 4% 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, 18 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 1 institution in 1 country.

Susan CarnellDivision of Child and Adolescent Psychiatry, Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore MD, USA. Electronic address: susan.carnell@jhmi.edu.
Gita ThapaliyaDivision of Child and Adolescent Psychiatry, Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore MD, USA.
Elena JansenDivision of Child and Adolescent Psychiatry, Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore MD, USA.
Liuyi ChenDivision of Psychiatric Neuroimaging, Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore MD, USA.
Johns Hopkins University · US

Funding

The Developing Brain: Influences and OutcomesUH3OD023313 · OD · WOMEN AND INFANTS HOSPITAL-RHODE ISLAND · PI Viren Andrew D'Sa, Daphne Koinis Mitchell · 2018 to 2026
$20.7M
Early Brain Development and Childhood ObesityR01DK113286 · NIDDK · WOMEN AND INFANTS HOSPITAL-RHODE ISLAND · PI CARNELL, SUSAN, D'SA, VIREN ANDREW · 2018 to 2023
$2.5M
Neurobehavioral Correlates of Familial/genetic obesity risk in adolescentsR00DK088360 · NIDDK · JOHNS HOPKINS UNIVERSITY · PI CARNELL, SUSAN · 2013 to 2015
$731k
Brain activation to food stimuli in obese and lean adolescents with high and lowK99DK088360 · NIDDK · ST. LUKE'S-ROOSEVELT INST FOR HLTH SCIS · PI CARNELL, SUSAN · 2010 to 2011
$178k
NIDDK NIH HHS K99 DK088360NIDDK NIH HHS R00 DK088360NIDDK NIH HHS R01 DK113286NIH HHS UH3 OD023313
6 · The paper itself

Abstract

Modern food environments are conducive to overeating and weight gain, but not everyone develops obesity. One reason for this may be that individuals differ in appetitive characteristics, or traits, that manifest early in life and go on to influence their behavioral susceptibility to gain and maintain excess weight. Classic studies showing that eating behavior in children can be measured by behavioral paradigms such as tests of caloric compensation and eating in the absence of hunger inspired the development and validation of psychometric instruments to assess appetitive characteristics in children and infants. A large body of evidence now suggests that food approach traits increase obesity risk, while food avoidant traits, such as satiety responsiveness, decrease obesity risk. Twin studies and genetic association studies have demonstrated that appetitive characteristics are heritable, consistent with a biological etiology. However, family environment factors are also influential, with mounting evidence suggesting that genetic and environmental risk factors interact and correlate with consequences for child eating behavior and weight. Further, neuroimaging studies are revealing that individual differences in responses to visual food cues, as well as to small tastes and larger amounts of food, across a number of brain regions involved in reward/motivation, cognitive control and other functions, may contribute to individual variation in appetitive behavior. Growing evidence also suggests that variation on psychometric measures of appetite is associated with regional differences in brain structure, and differential patterns of resting state functional connectivity. Large prospective studies beginning in infancy promise to enrich our understanding of neural and other biological underpinnings of appetite and obesity development in early life, and how the interplay between genetic and environmental factors affects appetitive systems. The biobehavioral susceptibility model of obesity development and maintenance outlined in this narrative review has implications for prevention and treatment of obesity in childhood.

Indexed as

AppetitePediatric ObesityBody Mass IndexChildFeeding BehaviorHumansInfantNeuroimagingProspective StudiesWeight GainBrain imagingEating behaviorFood cue responsivenessFTOFunctional MRIGenome-wideMagnetic resonance imaging (MRI)OverweightParent feedingPolygenic obesity riskSelf-regulation

Identifiers

PMID37544571
PMCPMC10591980
OpenAlexW4385578411

What OpenQuestion holds

Textmetadata
LicenceTDM
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.