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DETERMINANTS OF UNPROTECTED CASUAL HETEROSEXUAL SEX IN GHANA

Published online by Cambridge University Press:  12 August 2013

AKWASI KUMI-KYEREME
Affiliation:
Department of Population & Health, University of Cape Coast, Ghana
DEREK A. TUOYIRE*
Affiliation:
School of Medical Sciences, University of Cape Coast, Ghana
EUGENE K. M. DARTEH
Affiliation:
Department of Population & Health, University of Cape Coast, Ghana
*
1Corresponding author. Email: [email protected]

Summary

Casual heterosexual sex remains a significant contributor to HIV transmissions in Ghana. The study used data from the 2008 Ghana Demographic and Health Survey (GDHS) to assess the socio-demographic, economic and spatial factors influencing unprotected casual heterosexual sex among men and women. The results of the binary logistic regression models revealed that women aged 35–44 had significantly higher odds of engaging in unprotected casual heterosexual sex than those aged 15–24, unlike the men. There were significantly lower odds of unprotected casual heterosexual sex for women and men with exposure to print media compared with those without exposure. Compared with men residing in the Western Region, unprotected casual heterosexual sex was significantly less likely among those in the Upper East Region. There is the need for behavioural change campaigns in Ghana that take into consideration the multiplicity of factors that determine unprotected casual heterosexual sex.

Type
Articles
Copyright
Copyright © Cambridge University Press 2013 

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References

Abbey, A., Parkhill, M., Buck, P. & Saenz, C. (2007) Condom use with a casual partner: what distinguishes college students' use when intoxicated? Psychology of Addictive Behaviour 21, 7683.Google Scholar
Akwara, P. A., Madise, N. J. & Hinde, A. (2003) Perception of risk of HIV/AIDS and sexual behaviour in Kenya. Journal of Biosocial Science 35, 385411.Google Scholar
Anarfi, J. K. (2005) Underreaction to sexual behavioural change among the youth in Ghana in the era of AIDS. In Agyei-Mensah, S., Casterline, J. B. & Agyeman, D. K. (eds) Reproductive Change in Ghana: Recent Patterns and Future Prospects. Department of Geography and Resource Development, University of Ghana, Legon, pp. 225242.Google Scholar
Arnaldo, C. (2004) Ethnicity and marriage patterns in Mozambique. African Population Studies 19, 143164.Google Scholar
Asante, K. O. & Doku, P. N. (2010) Cultural adaptation of the Condom Use Self Efficacy Scale (CUSES) in Ghana. BioMed Central Public Health 10, 227. URL: http://www.biomedcentral.com/1471-2458/10/227 (assessed 21st April 2012).Google Scholar
Awusabo-Asare, K. & Annim, S. K. (2008) Wealth status and risky sexual behaviour in Ghana and Kenya. Applied Health Economics and Health Policy 6, 2739.Google Scholar
Bandura, A. (1994) Health promotion from the perspective of social cognitive theory. In Norman, P., Abraham, C. & Conner, M. (eds) Understanding and Changing Health Behaviour: From Health Beliefs to Self-Regulation. Harwood Academic, Amsterdam, pp. 299339.Google Scholar
Becker, G. (1993) Human Capital: A Theoretical and Empirical Analysis with Special Reference to Education (3rd edition). University of Chicago Press.Google Scholar
Bessinger, R., Katende, C. & Gupta, N. (2004) Multi-media Campaign Exposure Effects on Knowledge and use of Condoms for STI and HIV/AIDS. Prevention in Uganda MEASURE Evaluation Project. ORC Macro, Calverton, USA.Google Scholar
Bosompra, K. (2001) Determinants of condom use intentions of university students in Ghana: an application of the theory of reasoned action. Social Science & Medicine 52, 10571069.Google Scholar
Chin, D. (1999) HIV-related sexual risk assessment among Asian/Pacific Islander American women: an inductive model. Social Science & Medicine 49, 241251.Google Scholar
Coast, E. (2007) Wasting semen: context and condom use among the Maasai. Culture, Health and Sexuality 9, 387401.Google Scholar
De Walque, D. (2007) How does the impact of an HIV/AIDS information campaign vary with educational attainment? Evidence from rural Uganda. Journal of Development Economics 84, 686714.Google Scholar
Easton, J. A., Confer, J. C., Goetz, C. D. & Buss, D. M. (2010) Reproduction expediting: sexual motivations, fantasies, and the ticking biological clock. Personality and Individual Differences 49, 516520.Google Scholar
Eltinge, J. L., Parsons, V. L. & Jang, D. S. (1997) Differences between complex-design-based and IID-based analyses of survey data: examples from Phase I of NHANES III. Statistics 19, 312.Google Scholar
Family Health International (1999) A Dialogue Between the Sexes: Men, Women and AIDS Prevention. URL: http://www.FamilyHealthInternational.org.uk (assessed 14th July 2012).Google Scholar
Fenton, L. (2004) Preventing HIV/AIDS through poverty reduction: the only sustainable solution? Lancet 364, 11861187.Google Scholar
Ghana AIDS Commission (2012) Ghana AIDS Country Progress Report January 2010 – December 2011. Ghana AIDS Commission, Accra.Google Scholar
Ghana Statistical Service (GSS), Ghana Health Service (GHS) & ICF Macro (2009) Ghana Demographic and Health Survey 2008. GSS, GHS, and ICF Macro, Accra, Ghana.Google Scholar
Green, L. W. & Kreuter, M. W. (1999) Health Promotion Planning: An Educational and Ecological Approach (3rd edition). Mayfield, Mountain View, CA.Google Scholar
Gyimah, S. O., Tenkorang, E. Y., Takyi, B. K., Fosu, G. & Adjei, J. (2010) Religion, HIV/AIDS and sexual risk-taking among men in Ghana. Journal of Biosocial Science 42, 531547.Google Scholar
Heike, B. (2007) The rise of occult powers, AIDS and the Roman Catholic Church in Western Uganda. Journal of Religion in Africa 37, 4158.Google Scholar
Hornik, R. & McAnany, E. (2001) Theories and Evidence: Mass Media Effects and Fertility Change. National Academy Press, Washington, DC.Google Scholar
Kagimu, M., Marum, E., Wabwire-Mangen, F., Nakyanjo, N., Walakira, Y. & Hogle, J. (1998) Evaluation of the effectiveness of AIDS health education intervention in the Muslim community in Uganda. AIDS Education and Prevention 10, 215218.Google Scholar
Karim, A. M., Magnani, R. J., Morgan, G. T. & Bond, K. C. (2003) Reproductive health risk and protective factors among unmarried youth in Ghana. International Family Planning Perspectives 29, 1424.Google Scholar
Kenkel, D. S. (1991) Health behaviour, health knowledge, and schooling. Journal of Political Economy 99, 287305.Google Scholar
Korn, E. L. & Graubard, B. I. (1995) Analysis of large health surveys: accounting for the sampling design. Journal of the Royal Statistical Society 158, 263295.Google Scholar
Lammers, J., Van Wijnbergen, S. & Willebrands, D. (2011) Gender Differences, HIV Risk Perception and Condom Use. Tinbergen Institute Discussion Paper 11-051/2. URL: http://ssrn.com/abstract=1783525 (assessed 14th July 2012).Google Scholar
McCombie, S., Hornik, R. C. & Anarfi, J. H. (2002) Effects of a mass media campaign to prevent AIDS among young people in Ghana. In Hornik, R. C. (ed.) Public Health Communication: Evidence for Behaviour Change. Lawrence Erlbaum Associates, Mahwah, pp. 147162.Google Scholar
Mill, J. E. (2001) I'm not a ‘basabasa’ woman: an explanatory model of HIV illness in Ghanaian women. Clinical Nursing Research 10, 254274.Google Scholar
National Institute of Statistics (NIS) & ORC Macro (2004) Cameroon Demographic and Health Survey 2004. NIS and ORC Macro, Calverton, MD.Google Scholar
Pranitha, M. & Cleland, J. (2005) Risk perception and condom use among married or cohabiting couples in KwaZulu-Natal, South Africa. International Family Planning Perspectives 31, 2429.Google Scholar
Reid, E. (1999) Placing Women at the Centre of the Analysis. United Nations Development Programme (UNDP): HIV and Development Programme 6.Google Scholar
Rosenstock, I. M., Strecher, V. J. & Becker, M. H. (1994) The Health Belief Model and HIV risk behaviour change. In DiClemente, R. J. & Peterson, J. L. (eds) Preventing AIDS: Theories and Methods of Behavioral Interventions. Plenum Press, New York, pp. 524.Google Scholar
Smith, D. J. (2003) Imagining HIV/AIDS: morality and perceptions of personal risk in Nigeria. Medical Anthropology 22, 343372.Google Scholar
StataCorp (2001) STATA Statistical Software: Release 7.0. Stata Corporation, College Station, TX.Google Scholar
UNAIDS (2011) UNAIDS Terminology Guidelines (Revised Edition). UNIADS, Geneva.Google Scholar
Zaba, B., Pisani, E., Slaymaker, E. & Boerma, T. J. (2004) Age at first sex: understanding recent trends in African demographic surveys. Sexually Transmitted Infections 80, 2835.Google Scholar