Evidence map›Paper›PMID 36384744›Full record

ArticleThe international journal of behavioral nutrition and physical activity2022

Eating behaviors, dietary patterns and weight status in emerging adulthood and longitudinal associations with eating behaviors in early childhood.

Lise Dubois, Brigitte Bédard, Danick Goulet, Denis Prud'homme, Richard E Tremblay, Michel Boivin

Open access · goldAbstract read
In one paragraph

Article in The international journal of behavioral nutrition and physical activity, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed, 2 pooled it
14.0field-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

45 citing papers in PubMed, 2 syntheses or guidelines pooled it, 76 citations in OpenAlex.

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  9. Rethinking fussiness in commercial food contexts.Health promotion international · 2026
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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

6 authors at 4 institutions in 2 countries.

Lise DuboisSchool of Epidemiology and Public Health, University of Ottawa, 600 Peter Morand, Ottawa, ON, K1G 5Z3, Canada. lise.dubois@uottawa.ca.ORCID 0000-0001-8914-1288
Brigitte BédardSchool of Epidemiology and Public Health, University of Ottawa, 600 Peter Morand, Ottawa, ON, K1G 5Z3, Canada.
Danick GouletSchool of Epidemiology and Public Health, University of Ottawa, 600 Peter Morand, Ottawa, ON, K1G 5Z3, Canada.
Denis Prud'hommeUniversité de Moncton, Campus de Moncton, Pavillon Léopold-Taillon, 18, avenue Antonine-Maillet, Moncton, NB, E1A 3E9, Canada.
Richard E TremblayResearch Unit on Children's Psychosocial Maladjustment (GRIP), Université de Montréal, 3050, Édouard-Montpetit, Montréal, QC, H3T 1J7, Canada.
Michel BoivinÉcole de psychologie, Université Laval, 2325 allée des Bibliothèques, Québec, QC, G1V 0A6, Canada.
University of Ottawa · CAUniversité de Moncton · CAUniversité Laval · CAUniversity College Dublin · IE

Funding

CIHR 165964
6 · The paper itself

Abstract

backgroundEating behaviors may contribute to differences in body weight and diet over time. Our study aims to examine how eating behaviors of young adults relate to their current weight status and dietary patterns and to explore longitudinal associations with eating behaviors in early childhood.

methodsStudy participants are young adults (n = 698) taking part in the Quebec Longitudinal Study of Child Development. At age 22, eating behaviors were assessed using the Adult Eating Behavior Questionnaire. Dietary patterns were derived from information collected by food frequency questions. Weight status was based on self-reported data. Information on eating behaviors in childhood had been collected when participants were 2.5 to 6 years old. Pearson's correlations were used to determine associations between adult eating behaviors and body mass index. Simple and multivariate linear regression analyses were used to examine associations between eating behaviors and dietary patterns at age 22, and longitudinal associations with behaviors in early childhood. Ordinal logistic regression analyses were used to assess associations between overeating and fussy eating in childhood and weight status at age 22.

resultsBody mass index was positively correlated with Emotional overeating, Enjoyment of food, and Food responsiveness and negatively correlated with Satiety responsiveness, Emotional undereating, Slowness in eating and Hunger. A Healthy dietary pattern was positively associated with both Enjoyment of food and Hunger, and negatively associated with Food fussiness. Inversely, a Beverage-rich dietary pattern was negatively associated with Enjoyment of food and positively associated with Food fussiness. A Protein-rich pattern was positively associated with Enjoyment of food, while a High energy density pattern was positively associated with Food fussiness. Young adults with higher scores for fussy eating in early childhood were more likely to manifest Food fussiness and Emotional undereating, and less likely to adopt a Healthy dietary pattern. Young adults with higher scores for overeating in early childhood were less likely to show traits such as Slowness in eating and more likely to be overweight.

conclusionsOur findings suggest that eating behaviors in childhood have long-term influence on diet and weight status, thereby reinforcing the importance of early interventions that promote healthy eating.

Indexed as

Child BehaviorFeeding BehaviorAdultBody Mass IndexChildChild, PreschoolHumansHyperphagiaLongitudinal StudiesYoung AdultAdultsAppetitive traitsChildrenDietEating behaviorFood acceptanceLongitudinal studyWeight

Identifiers

PMID36384744
PMCPMC9670577
OpenAlexW4309144634

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.