IDEAS home Printed from https://ideas.repec.org/a/eee/socmed/v153y2016icp35-43.html
   My bibliography  Save this article

Evidence of social network influence on multiple HIV risk behaviors and normative beliefs among young Tanzanian men

Author

Listed:
  • Mulawa, Marta
  • Yamanis, Thespina J.
  • Hill, Lauren M.
  • Balvanz, Peter
  • Kajula, Lusajo J.
  • Maman, Suzanne

Abstract

Research on network-level influences on HIV risk behaviors among young men in sub-Saharan Africa is severely lacking. One significant gap in the literature that may provide direction for future research with this population is understanding the degree to which various HIV risk behaviors and normative beliefs cluster within men's social networks. Such research may help us understand which HIV-related norms and behaviors have the greatest potential to be changed through social influence. Additionally, few network-based studies have described the structure of social networks of young men in sub-Saharan Africa. Understanding the structure of men's peer networks may motivate future research examining the ways in which network structures shape the spread of information, adoption of norms, and diffusion of behaviors. We contribute to filling these gaps by using social network analysis and multilevel modeling to describe a unique dataset of mostly young men (n = 1249 men and 242 women) nested within 59 urban social networks in Dar es Salaam, Tanzania. We examine the means, ranges, and clustering of men's HIV-related normative beliefs and behaviors. Networks in this urban setting varied substantially in both composition and structure and a large proportion of men engaged in risky behaviors including inconsistent condom use, sexual partner concurrency, and intimate partner violence perpetration. We found significant clustering of normative beliefs and risk behaviors within these men's social networks. Specifically, network membership explained between 5.78 and 7.17% of variance in men's normative beliefs and between 1.93 and 15.79% of variance in risk behaviors. Our results suggest that social networks are important socialization sites for young men and may influence the adoption of norms and behaviors. We conclude by calling for more research on men's social networks in Sub-Saharan Africa and map out several areas of future inquiry.

Suggested Citation

  • Mulawa, Marta & Yamanis, Thespina J. & Hill, Lauren M. & Balvanz, Peter & Kajula, Lusajo J. & Maman, Suzanne, 2016. "Evidence of social network influence on multiple HIV risk behaviors and normative beliefs among young Tanzanian men," Social Science & Medicine, Elsevier, vol. 153(C), pages 35-43.
  • Handle: RePEc:eee:socmed:v:153:y:2016:i:c:p:35-43
    DOI: 10.1016/j.socscimed.2016.02.002
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0277953616300570
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.socscimed.2016.02.002?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. 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.
    2. Olugbenga Ajilore, 2015. "Identifying peer effects using spatial analysis: the role of peers on risky sexual behavior," Review of Economics of the Household, Springer, vol. 13(3), pages 635-652, September.
    3. Martin S. Ridout & Clarice G. B. Demétrio & David Firth, 1999. "Estimating Intraclass Correlation for Binary Data," Biometrics, The International Biometric Society, vol. 55(1), pages 137-148, March.
    4. Lakon, Cynthia M. & Ennett, Susan T. & Norton, Edward C., 2006. "Mechanisms through which drug, sex partner, and friendship network characteristics relate to risky needle use among high risk youth and young adults," Social Science & Medicine, Elsevier, vol. 63(9), pages 2489-2499, November.
    5. Yamanis, Thespina J. & Maman, Suzanne & Mbwambo, Jessie K. & Earp, Jo Anne E. & Kajula, Lusajo J., 2010. "Social venues that protect against and promote HIV risk for young men in Dar es Salaam, Tanzania," Social Science & Medicine, Elsevier, vol. 71(9), pages 1601-1609, November.
    6. Schneider, John A. & Zhou, A. Ning & Laumann, Edward O., 2015. "A new HIV prevention network approach: Sociometric peer change agent selection," Social Science & Medicine, Elsevier, vol. 125(C), pages 192-202.
    7. Barrington, Clare & Latkin, Carl & Sweat, Michael D. & Moreno, Luis & Ellen, Jonathan & Kerrigan, Deanna, 2009. "Talking the talk, walking the walk: Social network norms, communication patterns, and condom use among the male partners of female sex workers in La Romana, Dominican Republic," Social Science & Medicine, Elsevier, vol. 68(11), pages 2037-2044, June.
    8. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Huang, He & Xu, Yang & Xing, Jingli & Shi, Tianyu, 2023. "Social influence or risk perception? A mathematical model of self-protection against asymptomatic infection in multilayer network," Chaos, Solitons & Fractals, Elsevier, vol. 166(C).
    2. Hill, L.M. & Moody, J. & Gottfredson, N.C. & Kajula, L.J. & Pence, B.W. & Go, V.F. & Maman, S., 2018. "Peer norms moderate the association between mental health and sexual risk behaviors among young men living in Dar es Salaam, Tanzania," Social Science & Medicine, Elsevier, vol. 196(C), pages 77-85.
    3. Cassels, Susan & Jenness, Samuel M. & Biney, Adriana A.E. & Dodoo, F. Nii-Amoo, 2017. "Geographic mobility and potential bridging for sexually transmitted infections in Agbogbloshie, Ghana," Social Science & Medicine, Elsevier, vol. 184(C), pages 27-39.
    4. Alethea Desrosiers & Laura Bond & Morgan Hoffman & Praveen Kumar & Carolyn Schafer & Isha W. Metzger & Alpha Vandi & Miriam Hinton & Theresa S. Betancourt, 2023. "Exploring Naturalistic Diffusion of an Evidence-Based Mental Health Intervention across Peer Networks of Youth in Sierra Leone," IJERPH, MDPI, vol. 20(5), pages 1-16, February.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Shelton, Rachel C. & Lee, Matthew & Brotzman, Laura E. & Crookes, Danielle M. & Jandorf, Lina & Erwin, Deborah & Gage-Bouchard, Elizabeth A., 2019. "Use of social network analysis in the development, dissemination, implementation, and sustainability of health behavior interventions for adults: A systematic review," Social Science & Medicine, Elsevier, vol. 220(C), pages 81-101.
    2. Perkins, Jessica M. & Subramanian, S.V. & Christakis, Nicholas A., 2015. "Social networks and health: A systematic review of sociocentric network studies in low- and middle-income countries," Social Science & Medicine, Elsevier, vol. 125(C), pages 60-78.
    3. Maria Pavlova & Rainer Silbereisen & Kamil Sijko, 2014. "Social Participation in Poland: Links to Emotional Well-Being and Risky Alcohol Consumption," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 117(1), pages 29-44, May.
    4. Liping Ye & Xinping Zhang, 2021. "The association mechanism between social network types and health‐related behaviours among the elderly in rural Hubei Province, China," International Journal of Health Planning and Management, Wiley Blackwell, vol. 36(3), pages 826-846, May.
    5. Miranda L. Ritterman & S. Leonard Syme, 2009. "The importance of community development for health and well-being," Community Development Innovation Review, Federal Reserve Bank of San Francisco, issue 3, pages 001-013.
    6. Monika Ardelt, 2016. "Disentangling the Relations Between Wisdom and Different Types of Well-Being in Old Age: Findings from a Short-Term Longitudinal Study," Journal of Happiness Studies, Springer, vol. 17(5), pages 1963-1984, October.
    7. Vivian Welch & Elizabeth Tanjong Ghogomu & Victoria I. Barbeau & Elisabeth Boulton & Sabrina Boutin & Niobe Haitas & Dylan Kneale & Douglas M. Salzwedel & Roger Simard & Paul Herbert & Christopher Mik, 2022. "PROTOCOL: Digital interventions to reduce social isolation and loneliness in older adults: An evidence and gap map," Campbell Systematic Reviews, John Wiley & Sons, vol. 18(3), September.
    8. Eibich, Peter & Goldzahl, Léontine, 2021. "Does retirement affect secondary preventive care use? Evidence from breast cancer screening," Economics & Human Biology, Elsevier, vol. 43(C).
    9. Sirven, Nicolas, 2006. "Endogenous social capital and self-rated health: Cross-sectional data from rural areas of Madagascar," Social Science & Medicine, Elsevier, vol. 63(6), pages 1489-1502, September.
    10. Vonneilich, Nico & Lüdecke, Daniel & von dem Knesebeck, Olaf, 2020. "Educational inequalities in self-rated health and social relationships – analyses based on the European Social Survey 2002-2016," Social Science & Medicine, Elsevier, vol. 267(C).
    11. Patricia A Thomas & Debra Umberson, 2018. "Do Older Parents’ Relationships With Their Adult Children Affect Cognitive Limitations, and Does This Differ for Mothers and Fathers?," The Journals of Gerontology: Series B, The Gerontological Society of America, vol. 73(6), pages 1133-1142.
    12. Yue, Chen & Chen, Shaojie & Sair, Haris I. & Airan, Raag & Caffo, Brian S., 2015. "Estimating a graphical intra-class correlation coefficient (GICC) using multivariate probit-linear mixed models," Computational Statistics & Data Analysis, Elsevier, vol. 89(C), pages 126-133.
    13. Edmonds, Joyce K. & Hruschka, Daniel & Bernard, H. Russell & Sibley, Lynn, 2012. "Women’s social networks and birth attendant decisions: Application of the Network-Episode Model," Social Science & Medicine, Elsevier, vol. 74(3), pages 452-459.
    14. Nakagawa, Takeshi & Noguchi, Taiji & Komatsu, Ayane & Saito, Tami, 2022. "The role of social resources and trajectories of functional health following stroke," Social Science & Medicine, Elsevier, vol. 311(C).
    15. Tajvidi, Mina & Richard, Marie-Odile & Wang, YiChuan & Hajli, Nick, 2020. "Brand co-creation through social commerce information sharing: The role of social media," Journal of Business Research, Elsevier, vol. 121(C), pages 476-486.
    16. Lakon, Cynthia M. & Ennett, Susan T. & Norton, Edward C., 2006. "Mechanisms through which drug, sex partner, and friendship network characteristics relate to risky needle use among high risk youth and young adults," Social Science & Medicine, Elsevier, vol. 63(9), pages 2489-2499, November.
    17. Chunshan Zhou & Jing Chen & Shaojian Wang, 2018. "Does Migrant Status and Household Registration Matter? Examining the Effects of City Size on Self-Rated Health," Sustainability, MDPI, vol. 10(7), pages 1-15, June.
    18. Howard Litwin & Michal Levinsky, 2022. "Does personality shape the personal social networks of older Europeans?," European Journal of Ageing, Springer, vol. 19(3), pages 717-727, September.
    19. Shixian Luo & Jing Xie & Katsunori Furuya, 2021. "“We Need such a Space”: Residents’ Motives for Visiting Urban Green Spaces during the COVID-19 Pandemic," Sustainability, MDPI, vol. 13(12), pages 1-18, June.
    20. Heffner, Kathi L. & Waring, Molly E. & Roberts, Mary B. & Eaton, Charles B. & Gramling, Robert, 2011. "Social isolation, C-reactive protein, and coronary heart disease mortality among community-dwelling adults," Social Science & Medicine, Elsevier, vol. 72(9), pages 1482-1488, May.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:socmed:v:153:y:2016:i:c:p:35-43. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/315/description#description .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.