Evidence map›Paper›PMID 38636439›Full record

ArticleEating behaviors2024

The associations between attentional bias to food cues, parent-report appetitive traits, and concurrent adiposity among adolescents.

John Brand, Dabin Yeum, Tessa Stewart, Jennifer A Emond, Diane Gilbert-Diamond

Open access · greenAbstract read
In one paragraph

Article in Eating behaviors, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
–field-weighted citation impact, top 94% 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

1 citing paper in PubMed, 1 synthesis or guideline pooled it, 0 citations in OpenAlex.

  1. Food-Related Attentional Biases in Restrained Eaters: A Meta-Analysis.The International journal of eating disorders · 2026
    Pooled it
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

5 authors at 2 institutions in 1 country.

John BrandDepartment of Epidemiology, Geisel School of Medicine at Dartmouth College, Hanover, NH, United States; Dartmouth Cancer Center, Lebanon, NH, United States. Electronic address: John.brand@dartmouth.edu.
Dabin YeumDepartment of Epidemiology, Geisel School of Medicine at Dartmouth College, Hanover, NH, United States.
Tessa StewartDepartment of Epidemiology, Geisel School of Medicine at Dartmouth College, Hanover, NH, United States.
Jennifer A EmondDepartment of Pediatrics, Geisel School of Medicine at Dartmouth College, Hanover, NH, United States; Department of Biomedical Data Sciences, Geisel School of Medicine at Dartmouth College, Hanover, NH, United States.
Diane Gilbert-DiamondDepartment of Epidemiology, Geisel School of Medicine at Dartmouth College, Hanover, NH, United States; Dartmouth Cancer Center, Lebanon, NH, United States; Department of Pediatrics, Geisel School of Medicine at Dartmouth College, Hanover, NH, United States; Department of Medicine, Geisel School of Medicine at Dartmouth, Hanover, NH, United States.
Dartmouth College · USDartmouth Psychiatric Research Center · US

Funding

Translational Engineering in Cancer (TEC)P30CA023108 · NCI · DARTMOUTH COLLEGE · PI Fred W Kolling IV · 1985 to 2026
$91.3M
The Relation of Genetic Factors, Food Cues, and Self-Regulation with Excess Consumption and Adiposity in ChildrenR01HD092604 · NICHD · DARTMOUTH COLLEGE · PI GILBERT-DIAMOND, DIANE IHN AE · 2018 to 2022
$2.8M
Media multi-tasking and cued overeating: assessing the pathway and piloting an intervention using an attentional network frameworkR21HD097475 · NICHD · DARTMOUTH COLLEGE · PI GILBERT-DIAMOND, DIANE IHN AE · 2018 to 2019
$451k
NCI NIH HHS P30 CA023108NICHD NIH HHS R01 HD092604NICHD NIH HHS R21 HD097475
6 · The paper itself

Abstract

objectiveTo assess whether attentional bias to food cues and appetitive traits are independently and interactively associated with adiposity in adolescents.

methodEighty-five adolescents, 14-17-years had their attentional bias to food images measured in a sated state by computing eye tracking measures of attention (first fixation duration, cumulative fixation duration) to food and control distractor images that bordered a computer game. Parents reported adolescent appetitive traits including the food approach domains of enjoyment of food, food responsiveness, emotional overeating, and the food avoidance domains of satiety responsiveness and emotional overeating through the Children's Eating Behavior Questionnaire.

resultsFirst fixation bias to food cues was positively associated with enjoyment of food, and negatively associated with satiety responsiveness. In a series of regression models adjusted for relevant covariates, first fixation bias to food cues (β = 0.83, p = 0.007), higher food responsiveness (β = 0.74, p < 0.001), higher emotional overeating (β = 0.51, p = 0.002), and a composite appetite score (β = 1.42, p < 0.001) were each significantly associated with greater BMI z-scores. In models assessing the interactive effects between attentional bias and appetitive traits, higher first fixation bias to food cues interacted synergistically with food responsiveness and emotional overeating in relation to BMI z-score. A synergistic interaction between first fixation bias to food cues and the composite appetite score in relation to BMI z-score was also observed.

conclusionIndividuals with high attentional bias to food cues and obesogenic appetitive traits may be particularly susceptible to weight gain.

Indexed as

AdiposityAttentional BiasCuesAdolescentAppetiteBody Mass IndexEmotionsFeeding BehaviorFemaleFoodHumansHyperphagiaMaleParentsSurveys and QuestionnairesAppetite of traitsAttentional bias to food cuesCEBQ

Identifiers

PMID38636439
PMCPMC11144077
OpenAlexW4393951024

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.