Parent-reported child appetite moderates relationships between child genetic obesity risk and parental feeding practices.

Child Eating Behavior Questionnaire Comprehensive Feeding Practices Questionnaire child BMI polygenic risk scores child eating behavior genetic susceptibility to obesity parental feeding practices

Journal

Frontiers in nutrition
ISSN: 2296-861X
Titre abrégé: Front Nutr
Pays: Switzerland
ID NLM: 101642264

Informations de publication

Date de publication:
2023
Historique:
received: 26 02 2023
accepted: 25 04 2023
medline: 16 6 2023
pubmed: 16 6 2023
entrez: 16 6 2023
Statut: epublish

Résumé

Food parenting practices are associated with child weight. Such associations may reflect the effects of parents' practices on children's food intake and weight. However, longitudinal, qualitative, and behavioral genetic evidence suggests these associations could, in some cases, reflect parents' response to children's genetic risk for obesity, an instance of gene-environment correlation. We tested for gene-environment correlations across multiple domains of food parenting practices and explored the role of parent-reported child appetite in these relationships. Data on relevant variables were available for Of the 12 parental feeding practices, 2 were associated with child BMI PRS, namely, restriction for weight control (β = 0.182, Our results indicate that parents may adjust their feeding practices in response to a child's genetic propensity toward higher or lower bodyweight, and the adoption of food restriction to control weight may depend on parental perceptions of the child's appetite. Research using prospective data on child weight and appetite and food parenting from infancy is needed to further investigate how gene-environment relationships evolve through development.

Sections du résumé

Background UNASSIGNED
Food parenting practices are associated with child weight. Such associations may reflect the effects of parents' practices on children's food intake and weight. However, longitudinal, qualitative, and behavioral genetic evidence suggests these associations could, in some cases, reflect parents' response to children's genetic risk for obesity, an instance of gene-environment correlation. We tested for gene-environment correlations across multiple domains of food parenting practices and explored the role of parent-reported child appetite in these relationships.
Materials and methods UNASSIGNED
Data on relevant variables were available for
Results UNASSIGNED
Of the 12 parental feeding practices, 2 were associated with child BMI PRS, namely, restriction for weight control (β = 0.182,
Conclusion UNASSIGNED
Our results indicate that parents may adjust their feeding practices in response to a child's genetic propensity toward higher or lower bodyweight, and the adoption of food restriction to control weight may depend on parental perceptions of the child's appetite. Research using prospective data on child weight and appetite and food parenting from infancy is needed to further investigate how gene-environment relationships evolve through development.

Identifiants

pubmed: 37324730
doi: 10.3389/fnut.2023.1174441
pmc: PMC10266414
doi:

Types de publication

Journal Article

Langues

eng

Pagination

1174441

Investigateurs

Sean C L Deoni (SCL)
Viren D'Sa (V)
Daphne Koinis-Mitchell (D)
Muriel Bruchhage (M)
Alexandra Volpe (A)
Jennifer Beauchemin (J)
Caroline Wallace (C)
John Rogers (J)
Rosa Cano (R)
Warren Alpert (W)
Jessica Fernandes (J)
Elizabeth Walsh (E)
Brittany Rhodes (B)
Matthew Huentelman (M)
Candace Lewis (C)
Matthew D De Both (MD)
Marcus A Naymik (MA)
Susan Carnell (S)
Elena Jansen (E)
Jennifer R Sadler (JR)
Gita Thapaliya (G)
Vanja Klepac-Ceraj (V)
Kevin Bonham (K)
Monique LeBourgeois (M)
Hans Georg Mueller (HG)
Jane-Ling Wang (JL)
Changbo Zhu (C)
Yaqing Chen (Y)
Joseph Braun (J)

Informations de copyright

Copyright © 2023 Jansen, Naymik, Thapaliya, Huentelman, Beauchemin, D'Sa, Lewis, Deoni, RESONANCE consortium and Carnell.

Déclaration de conflit d'intérêts

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

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Auteurs

Elena Jansen (E)

Division of Child and Adolescent Psychiatry, Department of Psychiatry and Behavioral Sciences, Johns Hopkins School of Medicine, Baltimore, MD, United States.

Marcus Naymik (M)

Neurogenomics Division, The Translational Genomics Research Institute (TGen), Phoenix, AZ, United States.

Gita Thapaliya (G)

Division of Child and Adolescent Psychiatry, Department of Psychiatry and Behavioral Sciences, Johns Hopkins School of Medicine, Baltimore, MD, United States.

Matt Huentelman (M)

Neurogenomics Division, The Translational Genomics Research Institute (TGen), Phoenix, AZ, United States.

Jennifer Beauchemin (J)

Advanced Baby Imaging Lab, Hasbro Children's Hospital, Rhode Island Hospital, Providence, RI, United States.

Viren D'Sa (V)

Advanced Baby Imaging Lab, Hasbro Children's Hospital, Rhode Island Hospital, Providence, RI, United States.

Candace R Lewis (CR)

Neurogenomics Division, The Translational Genomics Research Institute (TGen), Phoenix, AZ, United States.
School of Life Sciences, Arizona State University, Phoenix, AZ, United States.

Sean Deoni (S)

Advanced Baby Imaging Lab, Hasbro Children's Hospital, Rhode Island Hospital, Providence, RI, United States.
Department of Pediatrics, Warren Alpert Medical School at Brown University, Providence, RI, United States.
Maternal, Newborn and Child Health Discovery and Tools, Bill and Melinda Gates Foundation, Seattle, WA, United States.

Susan Carnell (S)

Division of Child and Adolescent Psychiatry, Department of Psychiatry and Behavioral Sciences, Johns Hopkins School of Medicine, Baltimore, MD, United States.

Classifications MeSH