ArticleStatistics in medicine2011
Longitudinal analysis of large social networks: estimating the effect of health traits on changes in friendship ties.
Article in Statistics in medicine, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
21 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Social networks and health: a systematic review of sociocentric network studies in low- and middle-income countries.Social science & medicine (1982) · 2015Pooled it
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- The impact of sampling patients on measuring physician patient-sharing networks using Medicare data.Health services research · 2020Article
- Qualitative analysis of social network influences on quitting smoking among individuals with serious mental illness.Journal of mental health (Abingdon, England) · 2019Article
- Network analysis of the NetHealth data: exploring co-evolution of individuals' social network positions and physical activities.Applied network science · 2018Article
- Dueling biological and social contagions.Scientific reports · 2017Article
- The role of social networks in the development of overweight and obesity among adults: a scoping review.BMC public health · 2015Article
- Effects of weight-focused social comparisons on diet and activity outcomes in overweight and obese young women.Obesity (Silver Spring, Md.) · 2015Article
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- Building community capacity: sustaining the effects of multiple, two-year community-based participatory research projects.Progress in community health partnerships : research, education, and action · 2014Article
- Hierarchical longitudinal models of relationships in social networks.Journal of the Royal Statistical Society. Series C, Applied statistics · 2013Article
- The analysis of social network data: an exciting frontier for statisticians.Statistics in medicine · 2013Article
- Social contagion theory: examining dynamic social networks and human behavior.Statistics in medicine · 2013Review
- Rule-based modeling of chronic disease epidemiology: elderly depression as an illustration.PloS one · 2012Article
- An actor-based model of social network influence on adolescent body size, screen time, and playing sports.PloS one · 2012Article
- Article
- Correlated genotypes in friendship networks.Proceedings of the National Academy of Sciences of the United States of America · 2011Article
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
We develop novel mixed effects models to examine the role of health traits on the status of peoples' close friendship nominations in the Framingham Heart Study. The health traits considered are both mutable (body mass index (BMI), smoking, blood pressure, body proportion, muscularity, and depression) and, for comparison, basically immutable (height, birth order, personality type, only child, and handedness); and the traits have varying degrees of observability. We test the hypotheses that existing ties (i.e. close friendship nominations) are more likely to dissolve between people with dissimilar (mutable and observable) health traits whereas new ties are more likely to form between those with similar (mutable and observable) traits while controlling for persons' age, gender, geographic separation, and education. The mixed effects models contain random effects for both the nominator (ego) and nominated (alter) persons in a tie to account for the fact that people were involved in multiple relationships and contributed observations at multiple exams. Results for BMI support the hypotheses that people of similar BMI are less likely to dissolve existing ties and more likely to form ties, while smoker to non-smoker ties were the least likely to dissolve and smoker to smoker ties were the most likely to form. We also validated previously known findings regarding homophily on age and gender, and found evidence that homophily also depends upon geographic separation.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.