The interaction of social networks and child obesity prevention program effects: The pathways trial: Networks and Childhood Obesity Prevention
Open accessAbstract
OBJECTIVE: Social network analysis was used to examine whether peer influence from one's social networks moderates obesity prevention program effects on obesity-related behaviors: healthful and unhealthful. METHODS: Participants included 557 children residing in Southern California. The survey assessed health-promoting behaviors (i.e., physical activity at school, physical activity outside of school, and fruit and vegetable intake), as well as unhealthful behaviors (high-calorie, low-nutrient intake and sedentary activity), and peer exposure calculated from social network nominations as indicators of peer influence. Multilevel models were conducted separately on outcomes predicted by program participation, peer exposure, and program participation by peer exposure. RESULTS: Results indicated that peer exposure was positively associated with one's own healthful and unhealthful behaviors. Program participation effects were moderated by peer influence, but only when unhealthful peer influence was present. Results suggest that peer influence can diminish or amplify prevention programs CONCLUSION: Future interventions should consider peer-led components to promote healthful influence of peers on healthful and unhealthful behaviors, and programs should be mindful that their effects are moderated by social networks.
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Children with friends who were physically inactive gained more from an obesity prevention program than those with physically active friends.
“For example, Shin and others [29] demonstrated that children with friends who were physically inactive gained more from an obesity prevention program than those with physically active friends.”
From Social Network Analysis for Program Implementation (2015) · cites this paper as [29]
Intervention effects may vary as a function of the recipients' social networks.
“Studies have shown that networks can mediate intervention effects. That is, intervention effects may vary as a function of the recipients’ social networks [28, 29].”
From Social Network Analysis for Program Implementation (2015) · cites this paper as [29]
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- Authors
- Shin, H.-S., Valente, T. W., Riggs, N. R., Huh, J., Spruijt-Metz, D., Chou, C.-P., & Ann Pentz, M.
- Affiliations
- The Institute for Health Promotion & Disease Prevention Research (IPR), University of Southern California, Keck School of Medicine; Los Angeles CA USA
- University of Southern California (US)
- Colorado State University (US)
- Venue
- Obesity
- Publisher
- Wiley
- Published
- 2014-03-11
- Volume
- 22
- Issue
- 6
- Pages
- 1520-1526
- ISSN
- 1930-7381 (ISSN-L)
- PMC
- PMC4037361
- OpenAlex
- W1509402306
- Cited by
- 59
- References
- 45
- Citations by year
- 2026: 1 · 2025: 3 · 2024: 1 · 2023: 2 · 2022: 2 · 2021: 9 · 2020: 7 · 2019: 5 · 2018: 12 · 2017: 5 · 2016: 5 · 2015: 7
- FWCI
- 5.57
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Obesity (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Cancer Institute (T32CA009492)
- Eunice Kennedy Shriver National Institute of Child Health and Human Development (R01HD052107)
- Topics
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Obesity, Physical Activity, Diet
- Health Sciences › Nursing › Nutrition and Dietetics › Nutrition, Health and Food Behavior
- Health Sciences › Health Professions › Pharmacy › Obesity and Health Practices
- Keywords
- childhood obesity prevention, peer influence, social networks, moderation, physical activity, fruit and vegetable intake, sedentary behavior, school-based intervention
- MeSH terms
- California, Energy Intake, Child, Child Behavior, Feeding Behavior, Female, Fruit, Health Promotion, Humans, Longitudinal Studies, Male, Motor Activity, Peer Group, Schools, Social Support, Vegetables, Health Behavior, Body Mass Index, Linear Models, Sedentary Behavior, Pediatric Obesity
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.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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