Applications of social network analysis to obesity: a systematic review

S. Zhang, K. de la Haye, M. Ji, Ruopeng An

Research output: Contribution to journalReview article

Abstract

People's health behaviours and outcomes can be profoundly shaped by the social networks they are embedded in. Based on graph theory, social network analysis is a research framework for the study of social interactions and the structure of these interactions among social actors. A literature search was conducted in PubMed and Web of Science for articles published until August 2017 that applied social network analysis to examine obesity and social networks. Eight studies (three cross-sectional and five longitudinal) conducted in the US (n = 6) and Australia (n = 2) were identified. Seven focused on adolescents' and one on adults' friendship networks. They examined structural features of these networks that were associated with obesity, including degree distribution, popularity, modularity maximization and K-clique percolation. All three cross-sectional studies that used exponential random graph models found individuals with similar body weight status and/or weight-related behaviour were more likely to share a network tie than individuals with dissimilar traits. Three longitudinal studies using stochastic actor-based models found friendship network characteristics influenced change in individuals' body weight status and/or weight-related behaviour over time. Future research should focus on diverse populations and types of social networks and identifying the mechanisms by which social networks influence obesity to inform network-based interventions.

Original languageEnglish (US)
Pages (from-to)976-988
Number of pages13
JournalObesity Reviews
Volume19
Issue number7
DOIs
StatePublished - Jul 2018

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Social Support
Obesity
Interpersonal Relations
Cross-Sectional Studies
Body Weight
Weights and Measures
Health Behavior
PubMed
Longitudinal Studies
Research
Population

Keywords

  • Obesity
  • social network analysis
  • systematic review

ASJC Scopus subject areas

  • Endocrinology, Diabetes and Metabolism
  • Public Health, Environmental and Occupational Health

Cite this

Applications of social network analysis to obesity : a systematic review. / Zhang, S.; de la Haye, K.; Ji, M.; An, Ruopeng.

In: Obesity Reviews, Vol. 19, No. 7, 07.2018, p. 976-988.

Research output: Contribution to journalReview article

Zhang, S, de la Haye, K, Ji, M & An, R 2018, 'Applications of social network analysis to obesity: a systematic review', Obesity Reviews, vol. 19, no. 7, pp. 976-988. https://doi.org/10.1111/obr.12684
Zhang, S. ; de la Haye, K. ; Ji, M. ; An, Ruopeng. / Applications of social network analysis to obesity : a systematic review. In: Obesity Reviews. 2018 ; Vol. 19, No. 7. pp. 976-988.
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