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Is having an educationally diverse social network good for health?

Published online by Cambridge University Press:  11 May 2020

Mark C. Pachucki Open the ORCID record for Mark C. Pachucki [Opens in a new window]  and
Diego F. Leal Open the ORCID record for Diego F. Leal [Opens in a new window]
Mark C. Pachucki*
Affiliation:
Department of Sociology, Computational Social Science Institute, University of Massachusetts-Amherst, Amherst, MA, USA
Diego F. Leal
Affiliation:
Department of Sociology, University of South Carolina, Columbia, SC, USA (e-mail: leald@mailbox.sc.edu)
*
*Corresponding author. Email: mpachucki@umass.edu
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Abstract

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.

Keywords

egocentric networkshealthnetwork diversityassortativity
Type
Research Article
Information
Network Science , Volume 8 , Issue 3: Special Issue Ego Networks , September 2020 , pp. 418 - 444
Copyright
© Cambridge University Press 2020

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Footnotes

Special Issue Editors: Brea L. Perry, Bernice A. Pescosolido, Mario L. Small, and Ann McCranie

References

Adler, N. E., Epel, E. S., Castellazzo, G., & Ickovics, J. R. (2000). Relationship of subjective and objective social status with psychological and physiological functioning: preliminary data in healthy white women. Health Psychology, 19(6), 586–592.CrossRefGoogle ScholarPubMed
Alexander, M. (2010). The new Jim Crow: mass incarceration in the age of colorblindness. New York: New Press.Google Scholar
Alshamsi, A., Pianesi, F., Lepri, B., Pentland, A., & Rahwan, I. (2016). Network diversity and affect dynamics: The role of personality traits. Plos One, 11(4Please provide page range for the reference “O’Malley et al. (2012), Newman (2003), Kelly et al. (2014), Holt-Lunstad et al. (2010), and Alshamsi et al. (2016)”.).Google Scholar
Andersson, M. A. (2012). Dispositional optimism and the emergence of social network diversity. Sociological Quarterly, 53(1), 92–115.CrossRefGoogle Scholar
Barefoot, J. C., Gronbaek, M., Jensen, G., Schnohr, P., & Prescott, E. (2005). Social network diversity and risks of ischemic heart disease and total mortality: Findings from the Copenhagen City Heart Study. American Journal of Epidemiology, 161(10), 960–967.CrossRefGoogle ScholarPubMed
Bassett, E., & Moore, S. (2013). Social capital and depressive symptoms: The association of psychosocial and network dimensions of social capital with depressive symptoms in Montreal, Canada. Social Science & Medicine, 86, 96–102.CrossRefGoogle ScholarPubMed
Berkman, L. F., & Krishna, A. (2014). Social network epidemiology. In Berkman, L. F., Kawachi, I., & Glymour, M. (Eds.), Social Epidemiology (pp. 234–289).CrossRefGoogle Scholar
Blau, P. M., & Schwartz, J. E. (1984). Crosscutting Social Circles. Florida: Academic Press.Google Scholar
Bojanowski, M., & Corten, R. (2014). Measuring segregation in social networks. Social Networks, 39, 14–32.CrossRefGoogle Scholar
Bonilla-Silva, E. (2004). From bi-racial to tri-racial: Towards a new system of racial stratification in the USA. Ethnic and Racial Studies, 27(6), 931–950.CrossRefGoogle Scholar
Bourdieu, P. ([1986] 2018). The forms of capital. In The sociology of economic life (pp. 78–92). Routledge.Google Scholar
Burt, R. S. (2004). Structural holes and good ideas. American Journal of Sociology, 110(2), 349–399.CrossRefGoogle Scholar
Cattell, V. (2001). Poor people, poor places, and poor health: The mediating role of social networks and social capital. Social Science & Medicine, 52(10), 1501–1516.CrossRefGoogle ScholarPubMed
Centola, D. (2015). The social origins of networks and diffusion. American Journal of Sociology, 120(5), 1295–1338.CrossRefGoogle Scholar
Child, S., Stewart, S., & Moore, S. (2017). Perceived control moderates the relationship between social capital and binge drinking: Longitudinal findings from the Montreal Neighborhood Networks and Health Aging (MoNNET-HA) panel. Annals of Epidemiology, 27(2), 128–134.CrossRefGoogle ScholarPubMed
Choi, H. J., & Smith, R. A. (2013). Members, isolates, and liaisons: Meta-analysis of adolescents’ network positions and their smoking behavior. Substance Use & Misuse, 48(8), 612–622.CrossRefGoogle ScholarPubMed
Christakis, N. A., & Fowler, J. H. (2007). The spread of obesity in a large social network over 32 years. New England Journal of Medicine, 357(4), 370–379.CrossRefGoogle Scholar
Cohen, S., Doyle, W. J., Skoner, D. P., Rabin, B. S., & Gwaltney, J. M., Jr. (1997). Social ties and susceptibility to the common cold. JAMA, 277(24), 1940–1944.CrossRefGoogle ScholarPubMed
Coleman, J. S. (1990). Foundations of social theory. Cambridge, Mass.: Belknap Press of Harvard University Press.Google Scholar
Cornwell, B. (2009). Good health and the bridging of structural holes. Social Networks, 31(1), 92–103.CrossRefGoogle ScholarPubMed
Cornwell, B., & Laumann, E. O. (2015). The health benefits of network growth: New evidence from a national survey of older adults. Social Science & Medicine, 125, 94–106.CrossRefGoogle ScholarPubMed
Dunbar, R. (2018). The anatomy of friendship. Trends in Cognitive Sciences, 22(1), 32–51.CrossRefGoogle ScholarPubMed
Eagle, N., Macy, M., & Claxton, R. (2010). Network diversity and economic development. Science, 328(5981), 1029–1031.CrossRefGoogle ScholarPubMed
Ellwardt, L., Van Tilburg, T. G., & Aartsen, M. (2015). The mix matters: Complex personal networks relate to higher cognitive functioning in old age. Social Science & Medicine, 125, 107–115.CrossRefGoogle ScholarPubMed
Erickson, B. H. (2003). Social networks: The value of variety. Contexts, 2(1), 25–31.CrossRefGoogle Scholar
Escobar-Bravo, M. A., Puga-Gonzalez, D., & Martin-Baranera, M. (2012). Protective effects of social networks on disability among older adults in Spain. Archives of Gerontology and Geriatrics, 54(1), 109–116.CrossRefGoogle ScholarPubMed
Feld, S. L. (1981). The focused organization of social ties. American Journal of Sociology, 86(5), 1015–1035.CrossRefGoogle Scholar
Feld, S. L. (1982). Social structural determinants of similarity among associates. American Sociological Review, 47(6), 797–801.CrossRefGoogle Scholar
Fischer, C. S., Jackson, R. M., Stueve, C. A., Gerson, K., Jones, L. M., & Baldassare, M. (1977). Networks and Places: Social Relations in the Urban Setting. New York: Free PressGoogle Scholar
Gallup, I. (2014). Gallup panel whitepaper brief. Retrieved from http://www.gallup.comGoogle Scholar
Goldman, A. W., & Cornwell, B. (2015). Social network bridging potential and the use of complementary and alternative medicine in later life. Social Science & Medicine, 140, 69–80.CrossRefGoogle ScholarPubMed
Goodreau, S. M., Kitts, J. A., & Morris, M. (2009). Birds of a feather, or friend of a friend? Using exponential random graph models to investigate adolescent social networks. Demography, 46(1), 103–125.CrossRefGoogle ScholarPubMed
Granovetter, M. S. (1973). The strength of weak ties. American Journal of Sociology, 78(6), 1360–1380.CrossRefGoogle Scholar
Haas, S. A., Schaefer, D. R., & Kornienko, O. (2010). Health and the structure of adolescent social networks. Journal of Health and Social Behavior, 51(4), 424–439.CrossRefGoogle ScholarPubMed
Hirschfield, P. J. (2018). Trends in school social control in the United States: Explaining patterns of decriminalization. In The Palgrave international handbook of school discipline, surveillance, and social control (pp. 43–64). Palgrave Macmillan, Cham.CrossRefGoogle Scholar
Hodge, R. W., & Treiman, D. J. (1968). Class identification in the United States. American Journal of Sociology, 73(5), 535–547.CrossRefGoogle ScholarPubMed
Holt-Lunstad, J., Smith, T. B., & Layton, J. B. (2010). Social relationships and mortality risk: A meta-analytic review. Plos Medicine, 7(7).CrossRefGoogle ScholarPubMed
Huisman, M. (2014). Imputation of missing network data: Some simple procedures. Encyclopedia of Social Network Analysis and Mining, 707–715.CrossRefGoogle Scholar
Kawachi, I., & Berkman, L. F. (2001). Social ties and mental health. Journal of Urban Health-Bulletin of the New York Academy of Medicine, 78(3), 458–467.CrossRefGoogle ScholarPubMed
Kelly, L., Patel, S. A., Narayan, K. M. V., Prabhakaran, D., & Cunningham, S. A. (2014). Measuring social networks for medical research in lower-income settings. Plos One, 9(8).CrossRefGoogle ScholarPubMed
Kim, C. Y., Losen, D. J., & Hewitt, D. T. (2010). The school-to-prison pipeline: Structuring legal reform. New York: NYU Press.Google Scholar
Lauman, E. O., & Pappi, F. U. (1973). New directions in the study of community elites. American Sociological Review, 38(2), 212–230.CrossRefGoogle Scholar
Lazarsfeld, P. F., & Merton, R. K. (1954). Friendship as a social process: A substantive and methodological analysis. Freedom and Control in Modern Society, 18(1), 18–66.Google Scholar
Legh-Jones, H., & Moore, S. (2012). Network social capital, social participation, and physical inactivity in an urban adult population. Social Science & Medicine, 74(9), 1362–1367.CrossRefGoogle Scholar
Lin, N. (1999). Building a network theory of social capital. Connections, 22(1), 28–51.Google Scholar
Lin, N. (2001). Social capital: A theory of social structure and action. Cambridge, UK; New York: Cambridge University Press.CrossRefGoogle Scholar
Lin, N., & Dumin, M. (1986). Access to occupations through social ties. Social Networks, 8(4), 365–385.CrossRefGoogle Scholar
Marsden, P. V. (1988). Homogeneity in confiding relations. Social Networks, 10(1), 57–76.CrossRefGoogle Scholar
Marsden, P. V. (1990). Network data and measurement. Annual Review of Sociology, 16, 435–463.CrossRefGoogle Scholar
McPherson, J. M., & Smith-Lovin, L. (1987). Homophily in voluntary organizations: Status distance and the composition of face-to-face groups. American Sociological Review, 52(3), 370–379.CrossRefGoogle Scholar
McPherson, M., Smith-Lovin, L., & Cook, J. M. (2001). Birds of a feather: Homophily in social networks. Annual Review of Sociology, 415–444.CrossRefGoogle Scholar
Molesworth, T., Sheu, L. K., Cohen, S., Gianaros, P. J., & Verstynen, T. D. (2015). Social network diversity and white matter microstructural integrity in humans. Social Cognitive and Affective Neuroscience, 10(9), 1169–1176.CrossRefGoogle ScholarPubMed
Moore, S., Daniel, M., Gauvin, L., & Dubé, L. (2009). Not all social capital is good capital. Health & place, 15(4), 1071–1077.CrossRefGoogle ScholarPubMed
Moore, S., Daniel, M., Paquet, C., Dube, L., & Gauvin, L. (2009). Association of individual network social capital with abdominal adiposity, overweight and obesity. Journal of Public Health, 31(1), 175–183.CrossRefGoogle ScholarPubMed
Moore, S., Teixeira, A., & Stewart, S. (2014). Effect of network social capital on the chances of smoking relapse: A two-year follow-up study of urban-dwelling adults. American Journal of Public Health, 104(12), E72–E76.CrossRefGoogle ScholarPubMed
Mowbray, O., Quinn, A., & Cranford, J. A. (2014). Social networks and alcohol use disorders: Findings from a nationally representative sample. American Journal of Drug and Alcohol Abuse, 40(3), 181–186.CrossRefGoogle ScholarPubMed
Newman, M. E. J. (2003). Mixing patterns in networks. Physical Review E, 67(2), 026126.CrossRefGoogle ScholarPubMed
O’Malley, A. J., Arbesman, S., Steiger, D. M., Fowler, J. H., & Christakis, N. A. (2012). Egocentric social network structure, health, and pro-social behaviors in a National Panel Study of Americans. Plos One, 7(5).CrossRefGoogle Scholar
Offer, S., & Fischer, C. S. (2018). Difficult people: Who is perceived to be demanding in personal networks and why are they there? American Sociological Review, 83(1), 111–142.CrossRefGoogle Scholar
Perry, B. L., Pescosolido, B. A., & Borgatti, S. P. (2018). Egocentric network analysis: foundations, methods, and models. Cambridge, UK; New York, NY: Cambridge University Press.CrossRefGoogle Scholar
Platt, J., Keyes, K. M., & Koenen, K. C. (2014). Size of the social network versus quality of social support: which is more protective against PTSD? Social Psychiatry and Psychiatric Epidemiology, 49(8), 1279–1286.CrossRefGoogle ScholarPubMed
Putnam, R. (2001). Social capital: Measurement and consequences. Canadian Journal of Policy Research, 2(1), 41–51.Google Scholar
R Core Team. (2018). R: A language and environment for statistical computing. Vienna, Austria: R Foundation for Statistical Computing. Retrieved from https://www.R-project.org/Google Scholar
Rice, E., Kurzban, S., & Ray, D. (2012). Homeless but connected: The role of heterogeneous social network ties and social networking technology in the mental health outcomes of street-living adolescents. Community Mental Health Journal, 48(6), 692–698.CrossRefGoogle ScholarPubMed
Roberts, D. (2004). The social and moral cost of mass incarceration in African American communities. Stanford Law Review, 56(5), 1271–1305.Google Scholar
Santini, Z. I., Koyanagi, A., Tyrovolas, S., Haro, J. M., Fiori, K. L., Uwakwa, R., Prina, A. M. (2015). Social network typologies and mortality risk among older people in China, India, and Latin America: A 10/66 Dementia Research Group population-based cohort study. Social Science & Medicine, 147, 134–143.CrossRefGoogle Scholar
Schaefer, D. R., Kornienko, O., & Fox, A. M. (2011). Misery does not love company: Network selection mechanisms and depression homophily. American Sociological Review, 76(5), 764–785.CrossRefGoogle Scholar
Shiovitz-Ezra, S., & Litwin, H. (2012). Social network type and health-related behaviors: Evidence from an American national survey. Social Science & Medicine, 75(5), 901–904.CrossRefGoogle ScholarPubMed
Singh-Manoux, A., Marmot, M. G., & Adler, N. E. (2005). Does subjective social status predict health and change in health status better than objective status? Psychosomatic Medicine, 67(6), 855–861.CrossRefGoogle ScholarPubMed
Small, M. L. (2017). Someone to talk to. New York: Oxford University Press.CrossRefGoogle Scholar
Smith, J. A., McPherson, M., & Smith-Lovin, L. (2014). Social distance in the United States sex, race, religion, age, and education homophily among confidants, 1985 to 2004. American Sociological Review, 79(3), 432–456.CrossRefGoogle Scholar
Smith, J. A., Moody, J., & Morgan, J. H. (2017). Network sampling coverage II: The effect of non-random missing data on network measurement. Social Networks, 48, 78–99.CrossRefGoogle ScholarPubMed
Smith, K. P., & Christakis, N. A. (2008). Social networks and health. Annual Review of Sociology, 34, 405–429.CrossRefGoogle Scholar
Song, L. (2011). Social capital and psychological distress. Journal of Health and Social Behavior, 52(4), 478–492.CrossRefGoogle ScholarPubMed
Song, L., Pettis, P. J., & Piya, B. (2017). Does your body know who you know? Multiple roles of network members’ socioeconomic status for body weight ratings. Sociological Perspectives, 60(6), 997–1018.CrossRefGoogle Scholar
StataCorp. (2013). Stata statistical software: Release 13. College Station, TX: StataCorp LP.Google Scholar
Tan, J. J. X., Kraus, M. W., Carpenter, N. C., & Adler, N. E. (in press). The association between objective and subjective socioeconomic standing and subjective well-being: A meta-analytic review. Psychological Bulletin.Google Scholar
Thoits, P. A. (2011). Mechanisms linking social ties and support to physical and mental health. Journal of Health and Social Behavior, 52(2), 145–161.CrossRefGoogle ScholarPubMed
VanderWeele, T. J., & Christakis, N. A. (2019). Network multipliers and public health. International Journal of Epidemiology, 48(4), 1032–1037.CrossRefGoogle ScholarPubMed
Viruell-Fuentes, E. A., Morenoff, J. D., Williams, D. R., & House, J. S. (2013). Contextualizing nativity status, Latino social ties, and ethnic enclaves: An examination of the ‘immigrant social ties hypothesis’. Ethnicity & Health, 18(6), 586–609.CrossRefGoogle ScholarPubMed
Wang, C., Butts, C. T., Hipp, J. R., Jose, R., & Lakon, C. M. (2016). Multiple imputation for missing edge data: A predictive evaluation method with application to Add Health. Social Networks, 45, 89–98.CrossRefGoogle ScholarPubMed
Wellman, B. (1979). The community question: The intimate networks of East Yorkers. American Journal of Sociology, 84(5), 1201–1231.CrossRefGoogle Scholar
Wu, Y.-H., Moore, S., & Dube, L. (2018). Social capital and obesity among adults: Longitudinal findings from the Montreal neighborhood networks and healthy aging panel. Preventive Medicine, 111, 366–370.CrossRefGoogle ScholarPubMed
Yang, Y. C., Boen, C., Gerken, K., Li, T., Schorpp, K., & Harris, K. M. (2016). Social relationships and physiological determinants of longevity across the human life span. Proceedings of the National Academy of Sciences of the United States of America, 113(3), 578–583.CrossRefGoogle Scholar
Zhang, T., Cao, W. H., Lv, J., Wang, N., Reilly, K. H., Zhu, Q., & Li, L. M. (2012). Size, composition, and strength of ties of personal social support networks among adult people living with HIV/AIDS in Henan and Beijing, China. Aids and Behavior, 16(4), 911–919.CrossRefGoogle ScholarPubMed
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