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Influence of peers and friends on children's and adolescents' eating and activity behaviors
Open accessAbstract
Obesity during childhood and adolescence is a growing problem in the United States, Canada, and around the world that leads to significant physical, psychological, and social consequences. Peer experiences have been theoretically and empirically related to the “Big Two” contributors to the obesity epidemic, unhealthy eating and physical inactivity [1]. In this article, we synthesize the empirical literature on the influence of peers and friends on youth’s eating and physical activity. Limitations and issues in the theoretical and empirical literatures are also discussed, along with future research directions. In conclusion, we argue that the involvement of children’s and adolescents’ peer networks in prevention and intervention efforts may be critical for promoting and maintaining positive behavioral health trajectories. However, further theoretical and empirical work is needed to better understand the specific mechanisms underlying the effects of peers on youth’s eating and physical activity.
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Cited by
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“103 Moreover, many studies have reported the predictive role played by peer influences and perception of a lack of peer support, 104,105 as well as by cultural influences (especially social pressure for thinness and the resulting body dissatisfaction) 97,106 on the onset of BED.”
Metadata
- Authors
- Salvy, S.-J., de la Haye, K., Bowker, J. C., & Hermans, R. C. J.
- Venue
- Physiology & Behavior
- Publisher
- Elsevier BV
- Published
- 2012-06
- Volume
- 106
- Issue
- 3
- Pages
- 369-378
- ISSN
- 0031-9384 (ISSN-L)
- OpenAlex
- W2146239040
- Cited by
- 486
- References
- 151
- FWCI
- 25.17
- Type
- journal article
- Language
- en
- Open access
- green
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.