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Is having an educationally diverse social network good for health?

Mark C PachuckiDiego F Leal
Published in: Network science (Cambridge University Press) (2020)
While network research often focuses on social integration as a predictor of health, a less-explored idea is that connections to dissimilar others may benefit well-being. As such, this study investigates whether network diversity is associated with changes in four health outcomes over a 3-year period of time in the U.S.A. Specifically, we focus on how an underexplored measure of network diversity-educational attainment assortativity-is associated with common self-reported outcomes: propensity to exercise, body-mass index, mental health, and physical health. We extend prior research by conducting multilevel analyses using this measure of diversity while adjusting for a range of socio-demographic and network confounders. Data are drawn from a longitudinal probability sample of U.S. adults (n = 10, 679) in which respondents reported information about themselves and eight possible alters during three yearly surveys (2013-2015). We find, first, that higher educational attainment is associated with more educationally insular networks, while less-educated adults have more educationally diverse networks. Results further suggest that having educationally similar networks is associated with higher body-mass index among the less educated. Further exploration of the relationship between ego network diversity, tie strength, and health is warranted.
Keyphrases
  • mental health
  • healthcare
  • body mass index
  • public health
  • health information
  • physical activity
  • mental illness
  • health promotion
  • metabolic syndrome
  • network analysis
  • machine learning
  • risk assessment
  • climate change