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Published in: BMC Public Health 1/2019

Open Access 01-12-2019 | Human Immunodeficiency Virus | Research article

Social cohesion, social trust, social participation and sexual behaviors of adolescents in rural Tanzania

Authors: Albino Kalolo, Jacob Mazalale, Anja Krumeich, Michelene Chenault

Published in: BMC Public Health | Issue 1/2019

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Abstract

Background

Social cohesion, defined as a glue holding society together, has been found to influence several aspects of human behavior. Social cohesion, being composed of social trust and social participation, is a social factor that may influence sexual behaviors. Unfortunately, studies investigating the influence of social cohesion on sexual behaviors among young people are scarce. This study examined the influence of social cohesion on safe sexual behavior among adolescents in rural Tanzania.

Methods

A cross-sectional study was conducted among 403 school adolescents of the Newala district, between May and August 2010. Socio-demographic characteristics, social cohesion (social trust and social participation) and sexual behavior (age at sexual debut, intention to use and reported condom use, number of sexual partners) were obtained through self-administered questionnaires. Data analysis was performed using descriptive statistics and binary logistic regression.

Results

Sexual debut at under 13 years of age was reported by 12% of the respondent. A majority (71%) reported multiple sexual partnerships and half of the participants reported to have used a condom at their last sexual encounter. The intention to use a condom was reported by 77% of the respondents. Having multiple sexual partnerships was associated with social trust only (odds ratio: 3.5, 95% CI 1.01–12.3) whereas reported condom use was related with social cohesion (odds ratio 4.8 95% CI 1.66–14.06). Social cohesion, trust or participation was not associated with young age at sexual debut or intention to use a condom. Being a female (odds ratio 2.07 95% CI 1.04–4.12.) was associated with intention to use a condom.

Conclusion

This study indicates that social cohesion and socio-demographic factors influence actual behavior performance and behavioral intentions. The findings point to the importance of collecting more evidence on social cohesion and sexual behaviors in different settings and designing interventions that enhance social cohesion among adolescents in order to reinforce positive sexual behaviors.
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Literature
2.
go back to reference UNAIDS. Global report : UNAIDS report on the global AIDS epidemic 2013. WHO; 2013. UNAIDS. Global report : UNAIDS report on the global AIDS epidemic 2013. WHO; 2013.
4.
go back to reference Kharsany ABM, Karim QA. HIV infection and AIDS in sub-Saharan Africa: current status, challenges and opportunities. Open AIDS J. 2016;10:34–48.CrossRef Kharsany ABM, Karim QA. HIV infection and AIDS in sub-Saharan Africa: current status, challenges and opportunities. Open AIDS J. 2016;10:34–48.CrossRef
5.
go back to reference Kazaura MR, Masatu MC. Sexual practices among unmarried adolescents in Tanzania. BMC Public Health. 2009;9:373.CrossRef Kazaura MR, Masatu MC. Sexual practices among unmarried adolescents in Tanzania. BMC Public Health. 2009;9:373.CrossRef
6.
go back to reference Exavery A, Lutambi AM, Mubyazi GM, Kweka K, Mbaruku G, Masanja H. Multiple sexual partners and condom use among 10 - 19 year-olds in four districts in Tanzania: what do we learn? BMC Public Health. 2011;11:490.CrossRef Exavery A, Lutambi AM, Mubyazi GM, Kweka K, Mbaruku G, Masanja H. Multiple sexual partners and condom use among 10 - 19 year-olds in four districts in Tanzania: what do we learn? BMC Public Health. 2011;11:490.CrossRef
8.
go back to reference Singh RK, Patra S. What factors are responsible for higher prevalence of HIV infection among urban women than rural women in Tanzania? Ethiop J Health Sci. 2015;25:321–8.CrossRef Singh RK, Patra S. What factors are responsible for higher prevalence of HIV infection among urban women than rural women in Tanzania? Ethiop J Health Sci. 2015;25:321–8.CrossRef
9.
go back to reference Mwita W, Urassa M, Isingo R, Ndege M, Marston M, Slaymaker E, et al. HIV prevalence and incidence in rural Tanzania: results from 10 years of follow-up in an open cohort study. J Acquir Immune Defic Syndr. 2007;1999(46):616–23. Mwita W, Urassa M, Isingo R, Ndege M, Marston M, Slaymaker E, et al. HIV prevalence and incidence in rural Tanzania: results from 10 years of follow-up in an open cohort study. J Acquir Immune Defic Syndr. 2007;1999(46):616–23.
11.
go back to reference Plummer ML, Wight D, Wamoyi J, Mshana G, Hayes RJ, Ross DA. Farming with your hoe in a sack: condom attitudes, access, and use in rural Tanzania. Stud Fam Plan. 2006;37:29–40.CrossRef Plummer ML, Wight D, Wamoyi J, Mshana G, Hayes RJ, Ross DA. Farming with your hoe in a sack: condom attitudes, access, and use in rural Tanzania. Stud Fam Plan. 2006;37:29–40.CrossRef
12.
go back to reference Okkolin M-A, Lehtomäki E, Bhalalusesa E. The successful education sector development in Tanzania – comment on gender balance and inclusive education. Gend Educ. 2010;22:63–71.CrossRef Okkolin M-A, Lehtomäki E, Bhalalusesa E. The successful education sector development in Tanzania – comment on gender balance and inclusive education. Gend Educ. 2010;22:63–71.CrossRef
14.
go back to reference Thye SR, Willer D, Borch C, Willer R. Building a model for solidarity and cohesion using three theories. In: Group Cohesion, Trust and Solidarity. Bingley: Emerald Group Publishing; 2002. Thye SR, Willer D, Borch C, Willer R. Building a model for solidarity and cohesion using three theories. In: Group Cohesion, Trust and Solidarity. Bingley: Emerald Group Publishing; 2002.
15.
go back to reference Easterly W, Ritzen J, Woolcock M. Social cohesion, institutions, and growth. Econ Polit. 2006;18:103–20.CrossRef Easterly W, Ritzen J, Woolcock M. Social cohesion, institutions, and growth. Econ Polit. 2006;18:103–20.CrossRef
16.
go back to reference Mooij T, Smeets E, de Wit W. Multi-level aspects of social cohesion of secondary schools and pupils’ feelings of safety. Br J Educ Psychol. 2011;81:369–90.CrossRef Mooij T, Smeets E, de Wit W. Multi-level aspects of social cohesion of secondary schools and pupils’ feelings of safety. Br J Educ Psychol. 2011;81:369–90.CrossRef
17.
go back to reference Woolcock M. What distinctive contribution can social cohesion make to development theory, research, and policy? In: Organisation for economic cooperation and development international conference on social cohesion and development. Paris: OECD; 2011. Woolcock M. What distinctive contribution can social cohesion make to development theory, research, and policy? In: Organisation for economic cooperation and development international conference on social cohesion and development. Paris: OECD; 2011.
18.
go back to reference Janmaat JG. Social cohesion as a real-life phenomenon: assessing the explanatory power of the universalist and Particularist perspectives. Soc Indic Res. 2010;100:61–83.CrossRef Janmaat JG. Social cohesion as a real-life phenomenon: assessing the explanatory power of the universalist and Particularist perspectives. Soc Indic Res. 2010;100:61–83.CrossRef
19.
go back to reference Berger-Schmitt R. Social cohesion as an aspect of the quality of societies: concept and measurement. Berger-Schmitt R. Social cohesion as an aspect of the quality of societies: concept and measurement.
20.
go back to reference Woolley F. Social cohesion and voluntary activity: making connections. In: CSLS conference on the state of living standards and the quality of life in Canada,“1998. p. 30–1. Woolley F. Social cohesion and voluntary activity: making connections. In: CSLS conference on the state of living standards and the quality of life in Canada,“1998. p. 30–1.
21.
go back to reference Chuang Y-C, Chuang K-Y, Yang T-H. Social cohesion matters in health. Int J Equity Health. 2013;12:87.CrossRef Chuang Y-C, Chuang K-Y, Yang T-H. Social cohesion matters in health. Int J Equity Health. 2013;12:87.CrossRef
22.
go back to reference Cloete A. Social cohesion and social capital: possible implications for the common good. Verbum Eccles. 2014;35:1–6.CrossRef Cloete A. Social cohesion and social capital: possible implications for the common good. Verbum Eccles. 2014;35:1–6.CrossRef
23.
go back to reference Dayton-Johnson J. Social capital, social cohesion, community: A microeconomic analysis. Econ Implic Soc Cohes. 2003:43–78. Dayton-Johnson J. Social capital, social cohesion, community: A microeconomic analysis. Econ Implic Soc Cohes. 2003:43–78.
24.
go back to reference Laiglesia J. Perspectives on global development 2012 social cohesion in a shifting world? 2011. Laiglesia J. Perspectives on global development 2012 social cohesion in a shifting world? 2011.
25.
go back to reference Chandra-Mouli V, Lane C, Wong S. What does not work in adolescent sexual and reproductive health: a review of evidence on interventions commonly accepted as best practices. Glob Health Sci Pract. 2015;3:333–40.CrossRef Chandra-Mouli V, Lane C, Wong S. What does not work in adolescent sexual and reproductive health: a review of evidence on interventions commonly accepted as best practices. Glob Health Sci Pract. 2015;3:333–40.CrossRef
26.
go back to reference Kaaya SF, Flisher AJ, Mbwambo JK, Schaalma H, Aarø LE. Klepp K-I. A review of studies of sexual behaviour of school students in sub-Saharan Africa. Scand J Public Health. 2002;30:148–60.PubMed Kaaya SF, Flisher AJ, Mbwambo JK, Schaalma H, Aarø LE. Klepp K-I. A review of studies of sexual behaviour of school students in sub-Saharan Africa. Scand J Public Health. 2002;30:148–60.PubMed
27.
go back to reference Aoro L, Schaalma H, Amstrom A. Social cognition models and social cognition theory : predicting sexual and reproductive behaviour among adolescents in Subsaharan Africa. In: Klepp K-I, Flisher AJ, Kaaya SF, editors. Promoting adolescent, sexual and reproductive health in east and southern Africa. Cape Town, South Africa: HSRC PRESS; 2008. p. 37–55. Aoro L, Schaalma H, Amstrom A. Social cognition models and social cognition theory : predicting sexual and reproductive behaviour among adolescents in Subsaharan Africa. In: Klepp K-I, Flisher AJ, Kaaya SF, editors. Promoting adolescent, sexual and reproductive health in east and southern Africa. Cape Town, South Africa: HSRC PRESS; 2008. p. 37–55.
28.
go back to reference Fonner VA, Kerrigan D, Mnisi Z, Ketende S, Kennedy CE, Baral S. Social cohesion, social participation, and HIV related risk among female sex Workers in Swaziland. PLoS One. 2014;9:e87527.CrossRef Fonner VA, Kerrigan D, Mnisi Z, Ketende S, Kennedy CE, Baral S. Social cohesion, social participation, and HIV related risk among female sex Workers in Swaziland. PLoS One. 2014;9:e87527.CrossRef
29.
go back to reference Campbell C, Williams B, Gilgen D. Is social capital a useful conceptual tool for exploring community level influences on HIV infection? An exploratory case study from South Africa. AIDS Care. 2002;14:41–54.CrossRef Campbell C, Williams B, Gilgen D. Is social capital a useful conceptual tool for exploring community level influences on HIV infection? An exploratory case study from South Africa. AIDS Care. 2002;14:41–54.CrossRef
30.
go back to reference Crosby RA, Holtgrave DR, DiClemente RJ, Wingood GM, Gayle JA. Social capital as a predictor of adolescents’ sexual risk behavior: a state-level exploratory study. AIDS Behav. 2003;7:245–52.CrossRef Crosby RA, Holtgrave DR, DiClemente RJ, Wingood GM, Gayle JA. Social capital as a predictor of adolescents’ sexual risk behavior: a state-level exploratory study. AIDS Behav. 2003;7:245–52.CrossRef
31.
go back to reference Ajzen I. The theory of planned behavior. Organ Behav Hum Decis Process. 1991;50:179–211.CrossRef Ajzen I. The theory of planned behavior. Organ Behav Hum Decis Process. 1991;50:179–211.CrossRef
32.
go back to reference Hogben M, Byrne D. Using social learning theory to explain individual differences in human sexuality. J Sex Res. 1998;35:58–71.CrossRef Hogben M, Byrne D. Using social learning theory to explain individual differences in human sexuality. J Sex Res. 1998;35:58–71.CrossRef
33.
go back to reference MSW RPC. Sociological theories of disability, gender, and sexuality: a review of the literature. J Hum Behav Soc Environ. 2009;19:112–22.CrossRef MSW RPC. Sociological theories of disability, gender, and sexuality: a review of the literature. J Hum Behav Soc Environ. 2009;19:112–22.CrossRef
34.
go back to reference Benda BB, Corwyn RF. Testing a theoretical model of adolescent sexual behavior among rural families in poverty. Child Adolesc Soc Work J. 1996;13:469–94.CrossRef Benda BB, Corwyn RF. Testing a theoretical model of adolescent sexual behavior among rural families in poverty. Child Adolesc Soc Work J. 1996;13:469–94.CrossRef
35.
go back to reference National Bureau of Statistics. United Republic of Tanzania population distribution by age and sex. Dar es Salaam; 2013. National Bureau of Statistics. United Republic of Tanzania population distribution by age and sex. Dar es Salaam; 2013.
36.
go back to reference O’Rourke N, Hatcher L, Stepanksi EJ. Principal component analysis. In: A step-by-step approach to using SAS for univariate and multivariate statistics. 2nd edition. 2005. p. 1–56. O’Rourke N, Hatcher L, Stepanksi EJ. Principal component analysis. In: A step-by-step approach to using SAS for univariate and multivariate statistics. 2nd edition. 2005. p. 1–56.
37.
go back to reference Jackson DL, Arthur J, Purc-Stephenson R. Reporting practices in confirmatory factor analysis: an overview and some recommendations. Psychol Methods. 2009;14:6–23.CrossRef Jackson DL, Arthur J, Purc-Stephenson R. Reporting practices in confirmatory factor analysis: an overview and some recommendations. Psychol Methods. 2009;14:6–23.CrossRef
38.
go back to reference Ayele D, Zewotir T, Mwambi H. Multiple correspondence analysis as a tool for analysis of large health surveys in African settings. Afr Health Sci. 2014;14:1036–45.CrossRef Ayele D, Zewotir T, Mwambi H. Multiple correspondence analysis as a tool for analysis of large health surveys in African settings. Afr Health Sci. 2014;14:1036–45.CrossRef
39.
go back to reference Doyle AM, Mavedzenge SN, Plummer ML, Ross DA. The sexual behaviour of adolescents in sub-Saharan Africa: patterns and trends from national surveys. Trop Med Int Health TM IH. 2012;17:796–807.CrossRef Doyle AM, Mavedzenge SN, Plummer ML, Ross DA. The sexual behaviour of adolescents in sub-Saharan Africa: patterns and trends from national surveys. Trop Med Int Health TM IH. 2012;17:796–807.CrossRef
40.
go back to reference Mmbaga EJ, Leonard F, Leyna GH. Incidence and predictors of Adolescent’s early sexual debut after three decades of HIV interventions in Tanzania: a time to debut analysis. PLoS One. 2012;7:e41700.CrossRef Mmbaga EJ, Leonard F, Leyna GH. Incidence and predictors of Adolescent’s early sexual debut after three decades of HIV interventions in Tanzania: a time to debut analysis. PLoS One. 2012;7:e41700.CrossRef
41.
go back to reference Njau B, Mwakalo V, Mushi D. Correlates of use of condoms among sexually active youth in southern highlands, Tanzania. SAGE Open. 2013;3:2158244013491406.CrossRef Njau B, Mwakalo V, Mushi D. Correlates of use of condoms among sexually active youth in southern highlands, Tanzania. SAGE Open. 2013;3:2158244013491406.CrossRef
42.
go back to reference Bramadat PA. Religion, social capital, and “The day that changed the world”. J Int Migr Integr Rev Integr Migr Int. 2005;6:201–17. Bramadat PA. Religion, social capital, and “The day that changed the world”. J Int Migr Integr Rev Integr Migr Int. 2005;6:201–17.
Metadata
Title
Social cohesion, social trust, social participation and sexual behaviors of adolescents in rural Tanzania
Authors
Albino Kalolo
Jacob Mazalale
Anja Krumeich
Michelene Chenault
Publication date
01-12-2019
Publisher
BioMed Central
Published in
BMC Public Health / Issue 1/2019
Electronic ISSN: 1471-2458
DOI
https://doi.org/10.1186/s12889-019-6428-7

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