Motivating Factors and Psychosocial Barriers to Condom Use among out-of-School Youths in Dar es Salaam, Tanzania: A Cross Sectional Survey Using the Health Belief Model
Condoms remain a cost-effective and relatively simple intervention to prevent HIV infection. However, condom use is still very low, particularly among youths aged 15 to 24. 348 individuals (186 males and 162 females) completed a pre-tested questionnaire. Logistic regression analysis was used to identify factors associated with condom use. Out of 348 respondents, 296 (85.0%) were sexually experienced, and 260 (87.8%) reported noncondom use in the past 3 months prior to the study. Among men, noncondom use was independently associated with feeling shy to buy condoms (AOR = 1.16; 95% CI 1.12–1.34), condoms reducing sexual pleasure (AOR = 8.19; 95% CI 3.98–17.01), and HIV is a serious and deadly disease (AOR = 0.36; 95% CI 0.28–0.46). Among women, experiencing forced sex (AOR = 1.16; 95% CI 1.10–2.78), condoms reduce sexual pleasure (AOR = 8.29; 95% CI 3.36–20.73), and inability to convince a partner to use condoms (AOR = 1.14; 95% CI 1.04–1.28) were predictors of noncondom use. In conclusion, sexually active youths in this population practice risky sexual behaviours, with low condom use practices. Strategies to improve condom use should address these psychosocial barriers associated with noncondom use. 1. Background One of the current challenges on the prevention and control of HIV/AIDS faced worldwide is among youths aged 15–24 years. In fact, the global population of adolescents has reached over one billion, the largest in human history [1]. In Tanzania, almost two-thirds (65%) of the population is under the age of 24 and almost 20% are aged 15 to 24 [2, 3]. In fact, these young women and men are the future of Tanzania, and thus, an important age group for the growth and prosperity of the country. Globally, it is estimated that 5.4 million young people aged 15 to 24 are living with HIV, 3.2 million of whom live in Sub-Saharan Africa [4]. In sub-Saharan Africa (SSA), youth lack access to HIV prevention education programes. For example, only 8 percent of out-of-school youth, have access to prevention education programes [5]. Overall HIV prevalence of 7.9% among youth aged 15 to 24 in Tanzania indicates that the HIV infection is two to three times higher among females than males (7% versus 3%), particularly in urban populations [2, 3]. Indicators of sexual activity among young people in Tanzania have revealed that a substantial proportion (46%) of unmarried youths aged 15–24 years is sexually experienced [2, 3]. A host of environmental, economic, and legal factors, together with social norms, are likely to influence early sexual debut and tendency for
References
[1]
UNFPA, “Youth and HIV/AIDS Fact Sheet: State of the World population,” http://www.unfpa.org/swp/.../factsheets/facts_youth.htm, 2009.
[2]
Tanzania Commission for AIDS (TACAIDS), Zanzibar AIDS Commission (ZAC), National Bureau of Statistics (NBS), and Office of the Chief Government Statistician (OCGS) & Inc, Tanzania HIV/AIDS and Malaria Indicator Survey 2007-08, TACAIDS, ZAC, NBS, OCGS, and Macro International Inc, Dar es Salaam, Tanzania, 2008.
[3]
UNGASS/TACAIDS, “UNGASS reporting for 2010: Tanzania Mainland & Zanzibar,” http://www.unaids.org/.../countryprogressreports/2010, 2010.
[4]
International Youth Foundation website, http://www.iyfnet.org/document.cfm/748.
[5]
UNAIDS/WHO, “Epidemiological Fact sheet on HIV and AIDS (pdf),” http://apps.who.int/globalatlas/predefinedReports/EFS2008/full/EFS2008_IN.pdf, 2010.
[6]
B. Njau, S. Mtweve, L. Barongo et al., “The influence of peers and other significant persons on sexuality and condom-use among young adults in nothern Tanzania,” African Journal of AIDS Research, vol. 5, no. 3, pp. 33–40, 2006.
[7]
G. Calazanz, R. Dias, G. Venturi, and V. Paiva, “Age and condom use at first secual intercourse of Brazilian adolescents,” Revista de Saude Publica, vol. 42, no. 1, pp. 45–53, 2008.
[8]
H. Alemu, D. H. Mariam, K. A. Belay, and G. Davey, “Factors predisposing out-of-school youths to HIV/AIDS-related risky sexual behaviour in northwest Ethiopia,” Journal of Health, Population and Nutrition, vol. 25, no. 3, pp. 344–350, 2007.
[9]
L. A. Lema, R. S. Katapa, and A. S. Musa, “Knowledge on HIV/AIDS and sexual behaviour among youths in Kibaha District, Tanzania,” Tanzania journal of health research, vol. 10, no. 2, pp. 79–83, 2008.
[10]
N. Prata, L. Morris, E. Mazive, F. Vahidnia, and M. Stehr, “Relationship between HIV risk perception and condom use: Evidence from a population-based survey in Mozambique,” International family planning perspectives, vol. 32, no. 4, pp. 192–200, 2006.
[11]
S. M. Noar, “Behavioral interventions to reduce HIV-related sexual risk behavior: Review and synthesis of meta-analytic evidence,” AIDS and Behavior, vol. 12, no. 3, pp. 335–353, 2008.
[12]
S. H. Muela, J. M. Ribera, and I. Nyamongo, “Health seeking behaviour and health system response,” DCPP Working Paper 14, 2003.
[13]
V. L. Champion and C. S. Skinner, “The Heath Belief Model,” in Health Behavior & Health Education: Theory, Research and Practice, Glanz, et al., Ed., pp. 45–65, Jossey-Bass, San Francisco, Calif, USA, 4th edition, 20082008.
[14]
National Bureau of Statistics (NBS), “Population and Housing Census 2002,” General Report, National Bureau of Statistics, Dar es Salaam, Tanzania, 2002.
[15]
Kinondoni Municipal Profile, http://www.kmc.go.tz/, 2008.
[16]
A. O. Adebiyi and M. C. Asuzu, “Condom use amongst out of school youths in a local government area in Nigeria,” African Health Sciences, vol. 9, no. 2, pp. 92–97, 2009.
[17]
S. H. Hounton, H. Carabin, and N. J. Henderson, “Towards an understanding of barriers to condom use in rural Benin using the health belief model: a cross sectional survey,” BMC Public Health, vol. 5, no. 8, pp. 1471–2458, 2005.
[18]
O. O. Lawoyin and R. M. Kanthula, “Factors that influence attitudes and sexual behavior among constituency youth workers in Oshana Region, Namibia,” African Journal of Reproductive Health, vol. 14, no. 1, pp. 55–69, 2010.
[19]
J. L. Lauby, L. Bond, D. Ero?lu, and H. Batson, “Decisional balance, perceived risk and HIV testing practices,” AIDS and Behavior, vol. 10, no. 1, pp. 83–92, 2006.
[20]
J. O. Prochaska, “Moving beyond the transtheoretical model,” Addiction, vol. 101, no. 6, pp. 768–774, 2006.
[21]
A. Outlaw, S. Naar-King, H. Janisse, and J. T. Parsons, “Predictors of condom use in a multisite study of high-risk youth living with HIV,” AIDS Education and Prevention, vol. 22, no. 1, pp. 1–14, 2010.
[22]
A. Bandura, Social Learning Theories, Printice-Hall, Englewood Cliffs, NJ, USA, 1997.
[23]
J. D. Fisher and W. A. Fiseher, “Theoretical approaches to individual-level change in HIV risk behaviours,” in Handbook of HIV Prevention, (AIDS Prevention and Mental Health), J. L. Peterson and R. J. DiClemente, Eds., pp. 3–48, Kluwer Academic/Plenum, New York, NY, USA, 2000.
[24]
K. L. Hall and J. S. Rossi, “Meta-analytic examination of the strong and weak principles across 48 health behaviors,” Preventive Medicine, vol. 46, no. 3, pp. 266–274, 2008.
[25]
L. M. Romero, J. S. Galbraith, L. Wilson-Williams, and K. M. Gloppen, “HIV prevention among African American Youth: how well have evidence-based interventions addressed key theoretical constructs?” AIDS and Behavior, pp. 1–16, 2010.