Risky Sexual Behaviour among Big Construction Enterprise Workers; Bahir Dar City, Amhara Regional State, Northwest Ethiopia

Mekibib Kassa, Eleni Tesfaye, Zelalem Alamrew

Department of Nursing, College of Medicine and Health Sciences, Gondar University, Gondar, Ethiopia.
Department of Public Health, College of Medicine and Health Sciences, Bahir Dar University, Bahir Dar, Ethiopia.
Department of Public Health, KEA-MED Medical College, Addis Ababa, Ethiopia.

DOI: 10.4236/ijcm.2013.46052                

Abstract

Background: Risky sexual behaviors are the major factors in rising sexually transmitted infections among adolescents and young adults. In Ethiopia construction industry is on increasing and deriving young people from rural area to the cities. Therefore, the aim of this study was to determine the prevalence of risky sexual behaviour and factors associated with among construction workers. Methods: A cross sectional study was conducted in March 2012 among construction workers in Bahir Dar city. The analysis was carried out using SPSS version 16. The data were analyzed in bivariate and multivariate logistic regression. Result: The prevalence of risky sexual behavior among construction workers was 44.9%. Female workers were about four times more likely to have had risky sexual practices than males (AOR = 3.86, 95% CI: 2.34 - 6.37). Respondents whose educational level less than fourth grade were 12 times more likely to be engaged in risky sex than whose educational level tenth grade or more (AOR = 12.13, 95% CI: 1.84 - 79.78). Divorced individuals were about five times more likely to have had risky sexual activities than married individuals (AOR = 4.63, 95% CI: 1.32 - 16.12). Respondents whose first sexual commencement from 15 - 19 years were about three times more likely to have had risky sexual behavior than from 20 - 24 years (AOR = 2.89, 95% CI: 1.70 - 4.91). Besides, the odds of having risky sexual behaviour among construction workers who had sexual partner at the time of the study were about 0.6 times less likely to have had risky sexual behaviours than workers who did not have (AOR = 0.6, 95% CI: 0.38, 0.96). Conclusion: The prevalence of risky sexual behavior among construction workers was 44.9%. Variables such as sex, educational level, marital status, age at first sexual intercourse, presence of current sexual partner and casual sex were found to be independent predictors of risky sexual behaviour. Therefore, interventions targeting on these factors were recommended.

Keywords

Risky Sexual Behaviour; Construction Workers; Migration; Bahir Dar City; Ethiopia

Conflicts of Interest

The authors declare no conflicts of interest.

References

[1]	M. T. Schechter, et al., “Effect Exposure Factors, Cofactors and HTLV-III Seropositivity on Number of Helper T Cells,” American Journal of Public Health, Vol. 78, No. 12, 1988, pp. 1534-1535.
[2]	G. G. Pison, et al., “Risk Factor for HIV Infection in Rural Senegal,” Journal of Acquired Immune Deficiency Syndromes, Vol. 6, No. 2, 1993, pp. 12-23.
[3]	Jenny Nicholson MSW Student, “Risky Sexual Behaviour among Adolescents and Young Adults,” University of North Carolina Chapel Hill, 2012. http://www.docstoc.com/docs/38043379/
[4]	M. Rweng, “Sexual Risk Behavior among Young People in Bamenda Cameroon,” International Family Planning Perspectives, Vol. 26, No. 3, 2000, pp. 118-130. doi:10.2307/2648300
[5]	“Joint United Nations Programme on HIV AIDS,” Global HIV/AIDS Response, Epidemic Update and Health Sector Progress towards Universal Access, Progress Report, 2011.
[6]	Ethiopian Health and Nutrition Research Institute (EHNRI), “Report on the 2009 Round Antenatal Care Sentinel HIV Surveillance in Ethiopia,” Addis Ababa, 2011.
[7]	G. M. Stephenson and J. H. Davis, “Attitudes and Voting Behavior. An Application of the Theory of Reasoned Action,” Journal of Progress in Applied Social Psychology, Vol. 1, 1981, pp. 253-313.
[8]	G. K. Ateka, “Factors in HIV/AIDS Transmission in Sub-Saharan Africa,” Journal of the World Health Organization, Vol. 79, No. 12, 2001, p. 168.
[9]	A. Neal, M. D. Halsey, et al., “Sexual Behavior, Smoking and HIV-1 Infection in Haitian Women,” Journal of the American Medical Association, Vol. 267, No. 15, 1992, pp. 2062-2066. doi:10.1001/jama.1992.03480150068039
[10]	C. Jonathan, L. Mark, W. Brian, et al., “HIV/AIDS, Population Mobility and Migration in Southern Africa,” Defining a Research and Policy Agenda, June 2005, pp. 1-66.
[11]	G. S. Becker, “A Theory of the Allocation of Time,” The Economic Journal, Vol. 75, No. 4. 1965, p. 493. doi:10.2307/2228949
[12]	K. Kanda, Y. Obayashi and R. A. Knowledge, “Attitude and Practice Assessment of Construction Workers for HIV/AIDS in Sri Lanka,” Journal of Infection in Developing Countries, Vol. 3, No. 8, 2009, p. 612.
[13]	F. R. Booysen and J. Summerton, “Assessment of Poverty Risky Sexual Behavior, and Vulnerability to HIV Infection in South Africa,” Journal of Health, Population and Nutrition, Vol. 20, No. 4, 2002, p. 287.
[14]	P. A. Akwara, N. J. Madise and A. Hinde, “Perception of Risk of HIV/AIDS and sexual behavior in Kenya,” Journal of Communicable Disease, Vol. 35, No. 3, 2003, pp. 385-389.
[15]	A. Schwarzenegger, “HIV Risk Assessment of Migrant Latino Day Laborers. Predictors of Condom Use in Latino Migrant Day Laborers,” Journal of Behavioral Science, Vol. 33, No. 1, 2009, p. 91.
[16]	N. S. N. Htun and W. Phoolcharoen, “HIV/AIDS Risk Behaviors among Myanmar Migrants in Bangkok, Thailand,” Journal of Health Research, Vol. 23, No. 6, 2009, pp. 87-88.
[17]	G. Mitike, et al., “HIV/AIDS Behavioral Survilance Survey (BSS),” Ethiopia, 2005. http://www.etharc.org/resources/download/finish/33/50
[18]	A. E. Biddlecom, “Migration Sexual Behaviour and the Risk of HIV in Keniya,” International Migration Review, Vol. 33, No. 4, 1999, pp. 833-856. doi:10.2307/2547354
[19]	K. C. Poudel, M. Jimba, J. Okumura, A. B. Joshi and S. Wakai, “Migrants’ Risky Sexual Behaviours in India and at Home in Far Western Nepal,” Tropical Medicine & International Health, Vol. 9, No. 8, 2004, pp. 897-903. doi:10.1111/j.1365-3156.2004.01276.x
[20]	O. L. Olusheyi 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, 2010, p. 55.
[21]	G. S. Becker, “A Theory of the Allocation of Time,” The Economic Journal, Vol. 75, No. 4, 1965, p. 493. doi:10.2307/2228949
[22]	J. Greenberg, L. Magder and S. Aral, “Age at First Coitus. A Marker for Risky Sexual Behavior in Women,” Sexually Transmitted Diseases, Vol. 19, No. 6, 1992, pp. 331-334. doi:10.1097/00007435-199211000-00006
[23]	W. Van den Boom, I. Stolte, T. Sandfort and U. Davido-vich, “Serosorting and Sexual Risk Behaviour According to Different Casual Partnership Types among MSM: The Study of One-Night Stands and Sex Buddies,” AIDS Care, Vol. 24, No. 2, 2012, pp. 167-173.
[24]	Z. Mor, U. Davidovich, N. Bessudu-Manor, M. Mc-Farlane, G. Feldshtein and D. Chemtob, “High-Risk Be haviour in Steady and in Casual Relationships among Men Who Have Sex with Men in Israel,” Sexually Trans mitted Infections, Vol. 87, No. 6, 2011, pp. 532-537. doi:10.1136/sextrans-2011-050048