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AIDS and Behavior
Erschienen in: AIDS and Behavior 4/2017

09.08.2016 | Original Paper

Social Network Influence on HIV Testing Among Urban Men in Tanzania

verfasst von: Thespina J. Yamanis, Ervin Dervisevic, Marta Mulawa, Donaldson F. Conserve, Clare Barrington, Lusajo J. Kajula, Suzanne Maman

Erschienen in: AIDS and Behavior | Ausgabe 4/2017

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Abstract

Men in sub-Saharan Africa have low HIV testing rates. Social networks exert an important influence on men’s HIV-related behavior. We examined associations between network factors and HIV testing among men in Dar es Salaam, Tanzania. Data are from the baseline assessment of an HIV prevention trial with 48 primarily male networks. Among 923 sexually active men, 52 % had ever tested for HIV. In a random effects logistic regression model, men in the network core were 1.50 times more likely (p < .05) to test than those in the periphery. Percentage of women in the network was associated with men’s increased HIV testing (AOR 4.24, p < .05). Perception of network HIV stigma was negatively associated with HIV testing (AOR 0.92, p < .01). Thinking at least one close friend tested for HIV was associated with increased testing (AOR 2.66, p < .001). Social network interventions are a promising approach for scaling up men’s HIV testing.
Literatur
1.
2.
3.
4.
Conserve D, Sevilla L, Mbwambo J, King G. Determinants of previous HIV testing and knowledge of partner’s HIV status among men attending a voluntary counseling and testing clinic in Dar es Salaam, Tanzania. Am J Mens Health. 2013;7(6):450–60.CrossRefPubMed
5.
Johannessen A. Are men the losers of the antiretroviral treatment scale-up? AIDS. 2011;25(9):1225–6.CrossRefPubMed
6.
Mills EJ, Bakanda C, Birungi J, Chan K, Hogg RS, Ford N, et al. Male gender predicts mortality in a large cohort of patients receiving antiretroviral therapy in Uganda. J Int AIDS Soc. 2011;14(1):52.CrossRefPubMedPubMedCentral
7.
Hensen B, Taoka S, Lewis JJ, Weiss H, Hargreaves J. Systematic review of strategies to increase men’s HIV-testing in sub-Saharan Africa. AIDS. 2014;28(14):2133–45.CrossRefPubMedPubMedCentral
8.
Shand T. Thomson-de Boor H, van den Berg W, Peacock D, Pascoe L. The HIV blind spot: men and HIV testing, treatment and care in sub-Saharan Africa. IDS Bull. 2014;1(1):53–60.CrossRef
9.
Siu GE, Wight D, Seeley JA. Masculinity, social context and HIV testing: an ethnographic study of men in Busia district, rural eastern Uganda. BMC Public Health. 2014;14(1):33.CrossRefPubMedPubMedCentral
10.
Skovdal M, Campbell C, Madanhire C, Mupambireyi Z, Nyamukapa C, Gregson S. Masculinity as a barrier to men’s use of HIV services in Zimbabwe. Glob Health. 2011;7(1):13.CrossRef
11.
Izugbara CO, Undie C-C, Mudege NN, Ezeh AC. Male youth and voluntary counseling and HIV testing: the case of Malawi and Uganda. Sex Educ. 2009;9(3):243–59.CrossRef
12.
Denison J, McCauley P, Dunnett-Dagg W, Lungu N, Sweat MD. The HIV testing experiences of adolescents in Ndola, Zambia: do families and friends matter? AIDS Care. 2008;20(1):101–5.CrossRefPubMed
13.
Tanzania Commission for AIDS (TACAIDS), Zanzibar AIDS Commission (ZAC), National Bureau of Statistics (NBS), Office of the Chief Government Statistician (OCGS), ICF International (ICF). Tanzania HIV/AIDS and Malaria Indicator Survey 2011–12. Dar es Salaam, Tanzania; 2013.
14.
Agadjanian V. Men’s talk about “women’s matters”: gender, communication, and contraception in urban Mozambique. Gend Soc. 2002;16(2):194–215.
15.
Barrington C, Latkin C, Sweat MD, Moreno L, Ellen J, Kerrigan D. 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. Soc Sci Med. 2009;68(11):2037–44.CrossRefPubMedPubMedCentral
16.
17.
Rai A, Stanton B, Wu Y, Li X, Galbraith J, Cottrell L, et al. Relative influences of perceived parental monitoring and perceived peer involvement on adolescent risk behaviors: an analysis of six cross-sectional data sets. J Adolesc Health. 2003;33(2):108–18.CrossRefPubMed
18.
Romer D, Black M, Ricardo I, Feigelman S, Kaljee L, Galbraith J, et al. Social influences on the sexual behavior of youth at risk for HIV exposure. Am J Public Health. 1994;84(6):977–85.CrossRefPubMedPubMedCentral
19.
Maxwell KA. Friends: the role of peer influence across adolescent risk behaviors. J Youth Adolesc. 2002;31(4):267–77.CrossRef
20.
Ali MM, Dwyer DS. Estimating peer effects in sexual behavior among adolescents. J Adolesc. 2011;34(1):183–90.CrossRefPubMed
21.
Dilger H. No sexuality, AIDS, and the lures of modernity: reflexivity and morality among young people in rural Tanzania. Med Anthropol Q. 2003;22(1):23–52.CrossRef
22.
Setel P. AIDS as a paradox of manhood and development in Kilimanjaro, Tanzania. Soc Sci Med. 1996;43(8):1169–78.CrossRefPubMed
23.
Yamanis TJ, Maman S, Mbwambo JK, Earp JAE, Kajula LJ. Social venues that protect against and promote HIV risk for young men in Dar es Salaam, Tanzania. Soc Sci Med. 2010;71(9):1601–9.CrossRefPubMedPubMedCentral
24.
Yamanis TJ, Fisher JC, Moody JW, Kajula LJ. Young men’s social network characteristics and associations with sexual partnership concurrency in Tanzania. AIDS Behav. 2016;20(6):1244–55.CrossRefPubMedPubMedCentral
25.
Valente TW. Social networks and health: models, methods, and applications. Oxford: Oxford University Press; 2010.CrossRef
26.
Latkin C, Forman V, Knowlton A, Sherman S. Norms, social networks, and HIV-related risk behaviors among urban disadvantaged drug users. Soc Sci Med. 2003;56(3):465–76.CrossRefPubMed
27.
Huang ZJ, He N, Nehl EJ, Zheng T, Smith BD, Zhang J, et al. Social network and other correlates of HIV testing: findings from male sex workers and other MSM in Shanghai, China. AIDS Behav. 2012;16(4):858–71.CrossRefPubMed
28.
Schneider J, Kumar R, Dandona R, Kumar P, Kumar A, Lakshmi V, et al. Social network and risk-taking behavior most associated with rapid HIV testing, circumcision, and preexposure prophylaxis acceptability among high-risk Indian men. AIDS Patient Care STDs. 2012;26(10):631–40.CrossRefPubMedPubMedCentral
29.
Perkins JM, Subramanian SV, Christakis N. Social networks and health: a systematic review of sociocentric network studies in low- and middle-income countries. Soc Sci Med. 2015;125:60–78.CrossRefPubMed
30.
Wasserman S, Faust K. Social network analysis: methods and applications. New York: Cambridge University Press; 1994.CrossRef
31.
Friedkin NE. A structural theory of social influence. Cambridge: Cambridge University Press; 2006.
32.
White HC, Boorman SA, Breiger RL. Social structure from multiple networks I: blockmodels of roles and positions. Am J Sociol. 1976;81:730–81.CrossRef
33.
Borgatti SP, Everett MG. Models of core/periphery structures. Soc Netw. 1999;21:375–95.CrossRef
34.
Kalichman SC, Simbayi LC. HIV testing attitudes, AIDS stigma, and voluntary HIV counselling and testing in a black township in Cape Town, South Africa. Sex Transm Infect. 2003;79:442–8.CrossRefPubMedPubMedCentral
35.
Babalola S. Readiness for HIV testing among young people in northern Nigeria: the roles of social norm and perceived stigma. AIDS Behav. 2007;11(5):759–69.CrossRefPubMed
36.
Young SD, Hlavka Z, Modiba P, Gray G, Van Rooyen H, Richter L, et al. HIV-related stigma, social norms, and HIV testing in Soweto and Vulindlela, South Africa: National Institutes of Mental Health Project Accept (HPTN 043). J Acquir Immune Defic Syndr. 2010;55(5):620–4.CrossRefPubMedPubMedCentral
37.
Pyne JM, Kuc EJ, Schroeder PJ, Fortney JC, Edlund M, Sullivan G. Relationship between perceived stigma and depression severity. J Nerv Ment Dis. 2004;192(4):278–83.CrossRefPubMed
38.
Cialdini R, Reno R, Kallgren C. A focus theory of normative conduct: recycling the concept of norms to reduce littering in public places. J Pers Soc Psychol. 1990;58:1015–26.CrossRef
39.
Kajula L, Balvanz P, Kilonzo MN, Mwikoko G, Yamanis T, Mulawa M, et al. Vijana Vijiweni II : a cluster-randomized trial to evaluate the efficacy of a microfinance and peer health leadership intervention for HIV and intimate partner violence prevention among social networks of young men in Dar es Salaam. BMC Public Health. 2016;16(113):1–12.
40.
Tanzania National Bureau of Statistics (NBS). The United Republic of Tanzania 2012 Population and Housing Census: Population Distribution by Administrative Areas. Dar es Salaam; 2013.
41.
Weir SS, Morroni C, Coetzee N, Spencer J, Boerma JT. A pilot study of a rapid assessment method to identify places for AIDS prevention in Cape Town, South Africa. Sex Transm Infect. 2002;78(Suppl 1):i106–13.CrossRefPubMedPubMedCentral
42.
Burt RS. A note on missing network data in the general social survey. Soc Netw. 1987;9:63–73.CrossRef
43.
Kossinets G. Effects of missing data in social networks. Soc Netw. 2006;28:247–68.CrossRef
44.
Borgatti SP, Molina JL. Ethical and strategic issues in organizational social network analysis. J Appl Behav Sci. 2003;39:337–49.CrossRef
45.
Znidarsic A, Doreian P, Ferligoj A. Non-response in social networks: the impact of different non-response treatments on the stability of blockmodels. Soc Netw. 2012;34(4):438–50.CrossRef
46.
Filmer D, Pritchett L. Estimating wealth effects withoutexpenditure data—or tears: an application to educational enrollments in states of India. Demography. 2001;38(1):115–32.PubMed
47.
Borgatti SP, Everett MG, Freeman L. Ucinet for Windows: Software for Social Network Analysis. 2002.
48.
49.
Ridout MS, Demétrio CGB, Firth D. Estimating intraclass correlation for binary data. Biometrics. 1999;55(1):137–48.CrossRefPubMed
50.
Raudenbush SW, Bryk AS. Hierarchical Linear Models: Applications and Data Analysis Methods. Thousand Oaks: SAGE Publications; 2002.
51.
52.
Pettifor A, MacPhail C, Suchindran S, Delany-Moretlwe S. Factors associated with HIV testing among public sector clinic attendees in Johannesburg, South Africa. AIDS Behav. 2010;14(4):913–21.CrossRefPubMed
53.
54.
Latkin C, Knowlton A. Micro-social structural approaches to HIV prevention: a social ecological perspective. AIDS Care. 2005;17(Suppl 1):S102–13.CrossRefPubMed
55.
Jürgensen M, Sandøy IF, Michelo C, Fylkesnes K. Effects of home-based Voluntary Counselling and Testing on HIV-related stigma: findings from a cluster-randomized trial in Zambia. Soc Sci Med. 2013;81:18–25.CrossRefPubMed
56.
Prentice D, Miller D. Pluralistic ignorance and the perpetuation of social norms by unwitting actors. In: Mark P, editor. Advances in experimental social psychology. 28th ed. Cambridge: Academic Press; 1996. p. 161–209.
57.
Mulawa M, Yamanis TJ, Balvanz P, Kajula LJ, Maman S. Comparing perceptions with actual reports of close friend’s HIV testing behavior among urban Tanzanian men. AIDS Behav. 2016. doi:10.​1007/​s10461-016-1335-8.
58.
Tobin KE, Yang C, Sun C, Spikes P, Latkin CA. Discrepancies between HIV prevention communication attitudes and actual conversations about HIV testing within social and sexual networks of African American men who have sex with men. Sex Transm Dis. 2014;41(4):221–6.CrossRefPubMedPubMedCentral
59.
Webel AR, Okonsky J, Trompeta J, Holzemer WL. A systematic review of the effectiveness of peer-based interventions on health-related behaviors in adults. Am J Public Health. 2010;100(2):247–53.CrossRefPubMedPubMedCentral
60.
Basu I, Jana S, Rotheram-Borus MJ, Swendeman D, Lee S-J, Newman P, et al. HIV prevention among sex workers in India. J Acquir Immune Defic Syndr. 2004;36:845–52.CrossRefPubMedPubMedCentral
61.
Kelly JA, Amirkhanian YA, Kabakchieva E, Vassileva S, Mcauliffe TL, Difranceisco WJ, et al. Prevention of HIV and sexually transmitted diseases in high risk social networks of young Roma (Gypsy) men in Bulgaria: a randomised controlled trial. Br Med J. 2006;333(7578):1098–101.CrossRef
62.
Agha S, Van Rossem R. Impact of a school-based peer sexual health intervention on normative beliefs, risk perceptions, and sexual behavior of Zambian adolescents. J Adolesc Health. 2004;34(5):441–52.CrossRefPubMed
63.
Valente TW, Pumpuang P. Identifying opinion leaders to promote behavior change. Health Educ Behav. 2007;34(6):881–96.CrossRefPubMed
64.
Heckathorn DD, Broadhead RS, Anthony DL, Weakliem DL. AIDS and social networks: HIV prevention through network mobilization. Sociol Focus. 1999;32(2):159–79.CrossRef
65.
Latkin C, Davey-Rothwell M, Knowlton AR, Alexander K, Williams CT, Boodram B. Social network approaches to recruitment, HIV prevention, medical care, and medication adherence. J Acquir Immune Defic Syndr. 2013;1(63 Suppl 1):S54–8.CrossRef
Metadaten
Titel
Social Network Influence on HIV Testing Among Urban Men in Tanzania
verfasst von
Thespina J. Yamanis
Ervin Dervisevic
Marta Mulawa
Donaldson F. Conserve
Clare Barrington
Lusajo J. Kajula
Suzanne Maman
Publikationsdatum
09.08.2016
Verlag
Springer US
Erschienen in
AIDS and Behavior / Ausgabe 4/2017
Print ISSN: 1090-7165
Elektronische ISSN: 1573-3254
DOI
https://doi.org/10.1007/s10461-016-1513-8

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