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Measuring Social Networks for Medical Research in Lower-Income Settings

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  • Laura Kelly
  • Shivani A Patel
  • K M Venkat Narayan
  • Dorairaj Prabhakaran
  • Solveig A Cunningham

Abstract

Social networks are believed to affect health-related behaviors and health. Data to examine the links between social relationships and health in low- and middle-income country settings are limited. We provide guidance for introducing an instrument to collect social network data as part of epidemiological surveys, drawing on experience in urban India. We describe development and fielding of an instrument to collect social network information relevant to health behaviors among adults participating in a large, population-based study of non-communicable diseases in Delhi, India. We discuss basic characteristics of social networks relevant to health including network size, health behaviors of network partners (i.e., network exposures), network homogeneity, network diversity, strength of ties, and multiplexity. Data on these characteristics can be collected using a short instrument of 11 items asked about up to 5 network members and 3 items about the network generally, administered in approximately 20 minutes. We found high willingness to respond to questions about social networks (97% response). Respondents identified an average of 3.8 network members, most often relatives (80% of network ties), particularly blood relationships. Ninety-one percent of respondents reported that their primary contacts for discussing health concerns were relatives. Among all listed ties, 91% of most frequent snack partners and 64% of exercise partners in the last two weeks were relatives. These results demonstrate that family relationships are the crux of social networks in some settings, including among adults in urban India. Collecting basic information about social networks can be feasibly and effectively done within ongoing epidemiological studies.

Suggested Citation

  • Laura Kelly & Shivani A Patel & K M Venkat Narayan & Dorairaj Prabhakaran & Solveig A Cunningham, 2014. "Measuring Social Networks for Medical Research in Lower-Income Settings," PLOS ONE, Public Library of Science, vol. 9(8), pages 1-9, August.
  • Handle: RePEc:plo:pone00:0105161
    DOI: 10.1371/journal.pone.0105161
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    1. Deanna Blansky & Christina Kavanaugh & Cara Boothroyd & Brianna Benson & Julie Gallagher & John Endress & Hiroki Sayama, 2013. "Spread of Academic Success in a High School Social Network," PLOS ONE, Public Library of Science, vol. 8(2), pages 1-4, February.
    2. Cohen-Cole, Ethan & Fletcher, Jason M., 2008. "Is obesity contagious? Social networks vs. environmental factors in the obesity epidemic," Journal of Health Economics, Elsevier, vol. 27(5), pages 1382-1387, September.
    3. Friedman, S.R. & Neaigus, A. & Jose, B. & Curtis, R. & Goldstein, M. & Ildefonso, G. & Rothenberg, R.B. & Des Jarlais, D.C., 1997. "Sociometric risk networks and risk for HIV infection," American Journal of Public Health, American Public Health Association, vol. 87(8), pages 1289-1296.
    4. Berkman, Lisa F. & Glass, Thomas & Brissette, Ian & Seeman, Teresa E., 2000. "From social integration to health: Durkheim in the new millennium," Social Science & Medicine, Elsevier, vol. 51(6), pages 843-857, September.
    5. Julianne Holt-Lunstad & Timothy B Smith & J Bradley Layton, 2010. "Social Relationships and Mortality Risk: A Meta-analytic Review," PLOS Medicine, Public Library of Science, vol. 7(7), pages 1-1, July.
    6. Mercken, Liesbeth & Snijders, Tom A.B. & Steglich, Christian & de Vries, Hein, 2009. "Dynamics of adolescent friendship networks and smoking behavior: Social network analyses in six European countries," Social Science & Medicine, Elsevier, vol. 69(10), pages 1506-1514, November.
    7. Janette S Leroux & Spencer Moore & Lucie Richard & Lise Gauvin, 2012. "Physical Inactivity Mediates the Association between the Perceived Exercising Behavior of Social Network Members and Obesity: A Cross-Sectional Study," PLOS ONE, Public Library of Science, vol. 7(10), pages 1-6, October.
    8. Kushner, H.I. & Sterk, C.E., 2005. "The limits of social capital: Durkheim, suicide, and social cohesion," American Journal of Public Health, American Public Health Association, vol. 95(7), pages 1139-1143.
    9. Bearman, P.S. & Moody, J., 2004. "Suicide and Friendships among American Adolescents," American Journal of Public Health, American Public Health Association, vol. 94(1), pages 89-95.
    10. Palinkas, Lawrence A. & Wingard, Deborah L. & Barrett-Connor, Elizabeth, 1990. "The biocultural context of social networks and depression among the elderly," Social Science & Medicine, Elsevier, vol. 30(4), pages 441-447, January.
    11. Valente, T.W. & Chich, P.C. & Pentz, M.A., 2007. "Community coalitions as a system: Effects of network change on adoption of evidence-based substance abuse prevention," American Journal of Public Health, American Public Health Association, vol. 97(5), pages 880-886.
    12. Hans-Peter Kohler & Jere Behrman & Susan Watkins, 2007. "Social networks and HIV/AIDS risk perceptions," Demography, Springer;Population Association of America (PAA), vol. 44(1), pages 1-33, February.
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