ArticlePublic health nutrition2025
Applying network analysis to explore family and peer influence on diet and health in households of Singaporean young adults: findings from an online network survey.
Article in Public health nutrition, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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1 citing paper in PubMed.
- Systems Science in Nutrition and Dietetics Research: A Practical Lens for Applying Systems Approaches in Research.Journal of human nutrition and dietetics : the official journal of the British Dietetic Association · 2026Review
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4 authors.
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Abstract
objectiveThe complexity and nuance of how social networks shape dietary behaviours and health dynamics remain underexplored, particularly in collectivist societies where family and peer relationships strongly impact health. This study applies social network analysis to examine these dynamics in Singapore.
designAn online household survey of young adults (age 21-35) and family (21+) assessed the consumption of healthy food groups (fruit, vegetable intake), unhealthy food groups (fast food, snack consumption) and social network characteristics (interaction frequency, emotional closeness, shared meals and perceived health influence). Data were analysed using network analysis, mixed regression models and generalised estimating equations.
settingOnline Singaporean household survey.
resultsAmong 116 participants from thirty-six households, 345 unique individuals and 1145 dyadic relationships were identified, with networks averaging 9·7 nodes (sd: 4·7) and 33·2 edges (sd: 27·3). Mutual health influence was strongest in spousal (
conclusionFindings highlight intergenerational and spousal ties as key health influencers, particularly through shared meals, and the complex role of social networks in shaping diet. Analyses suggest network-based interventions may be more useful in reducing unhealthy rather than promoting healthy eating behaviours.
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