GENDER AND HIV IN LIMPOPO PROVINCE. Mohammed Abdosh Ali

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GENDER AND HIV IN LIMPOPO PROVINCE Mohammed Abdosh Ali Research report submitted to the Faculty of Health Sciences, University of the Witwatersrand, in partial fulfillment of the requirements for the Degree of Master of Epidemiology and Biostatistics Johannesburg, 2009 i

DECLARATION I, Mohammed Abdosh Ali, declare that this research report is my own work. It is being submitted for the degree of Master of Epidemiology and Biostatistics at the University of Witwatersrand, Johannesburg. It has not been submitted before for any degree or examination at this or any other University. Signature of Candidate: 2 nd day of April 2009 ii

ABSTRACT OBJECTIVE: To explore gender-related differentials of HIV prevalence in Limpopo Province, South Africa. METHODS: This is a cross-sectional study, data collected by the Rural AIDS and Development Action Research (RADAR) Program for the purpose of a controlled community trial in Limpopo Province. The study population consisted of 798 young men and 992 young women aged 14 to 25 years old. Subjects were tested for the presence of HIV antibodies and answered structured questionnaires. Logistic regression was used to examine risk factors related to gender differentials of HIV prevalence. RESULTS: The prevalence of HIV infection was 5.8% in men and 12.4% in women. Women often had older partners, while men had much younger partners or partners of a similar age. Men with primary education and reporting as students showed a reduced risk of HIV infection whereas unemployed women showed an increased risk of HIV infection. Sexual debut at the age of 16 was associated with increased risk of HIV infection among both sexes. A significantly higher HIV prevalence was found in women with more than four lifetime sexual partners, young women having an age difference of three to 9.9 years from their sexual partners, women having non-spousal sexual partners of 22 to 26 years of age, and women reporting no regular financial support. Frequency of sex of six to 20 times was a marker of increased risk of HIV among men. CONCLUSIONS: The risk of HIV infection was higher in young women than in men. The increased risk of HIV infection in women might be explained by social and behavioural factors that lead young women to select older partners, and is perhaps also a result of the biological susceptibility of women to HIV infection. iii

ACKNOWLEDGMENTS: Thanks to the Rural AIDS and Development Action Research Program of the School of Public Health, University of Witwatersrand, as well as to the Small Enterprise Foundation for making this data available for use for scientific rigour of work. Thanks to the Anglo American/De Beer Chairman s Education Trust, the Henry J. Kaiser Family Foundation, the Ford Foundation, Financial Women s Association of New York and the Enterprise Development Innovation Fund of the UK Department for International Development for their core support of this project. Also, thanks to Orasure Technologies Incorporated, Omnimed and Organon Teknika for their donation of Orasure collection devices and Vironostica Uniform HIV 11+ o kits for use in this study. Finally, I extend my gratitude to everyone on the team of the Rural AIDS and Development Action Research Programme who were involved in the process of developing and collecting the data, and especially to my supervisor, James Hargreaves, for his valuable time and guidance. iv

TABLE OF CONTENTS Page DECLARATION ABSTRACT ACKNOWLEDGEMENT TABLE OF CONTENTS LIST OF FIGURES LIST OF TABLES LIST OF ACRONYMS ii iii iv v Vii viii ix CHAPTER 1 1 1.0 INTRODUCTION 1 1.1 General HIV situation in Sub-Saharan Africa 1 1.2 Variation of HIV prevalence among young men and young women 2 1.3 Biological explanation 4 1.3.1 Variation of genital tracts of men and women and HIV infection 5 1.3.2 Interaction between STIs and HIV in the genital tracts of men and 7 women 1.4 Socio-demographic characteristics 9 1.4.1 Education 9 1.4.2 Marriage 10 1.4.3 Poverty 10 1.5 Sexual behavioural risk factors and HIV 11 1.5.1 Sexual debut 11 v

1.5.2 Age difference and HIV infection 12 1.5.3 Sexual partnership and HIV infection 13 1.5.4 Condon use 14 1.5.5 Alcohol consumption 16 1.6 Justification 16 1.7 Study objectives 17 1.7.1 General objective 17 1.7.2 Specific objectives 17 CHAPTER 2 18 2.0 METHODS 18 2.1 Study design 18 2.2 Sampling strategy 18 2.3 Data collection 19 2.4 Quality control 20 2.5 Ethical issues 21 2.6 Stage of data analysis 21 2.6.1 Data collected 22 2.6.2 Prevalence of HIV infection 22 2.6.3 Risk factors for HIV infection among young men and women 22 2.6.4 Association of risk factors and HIV infection among men and women 24 CHAPTER 3 27 3.0 RESULTS 27 3.1 Data Collected 27 vi

3.2 HIV prevalence 28 3.3 Risk factors for HIV infection among young men and women 30 3.4 Association of risk factors and HIV infection among men and women 42 CHAPTER 4 44 4.0 DISCUSSION 44 CHAPTER 5 53 5.0 CONCLUSION AND RECOMMENDATIONS 53 5.1 Conclusions 53 5.2 Recommendations 54 APPENDICES 56 APPENDIX A Questionnaire 56 APPENDIX B Ethical clearance certificate 59 REFERENCES 60 LIST OF FIGURES 1.1 Median HIV prevalence among women (15 to 49 years) attending antenatal 2 clinics in consistent sites in Southern African countries, 1998-2006 3.2 Prevalence of HIV infection by age group and sex 29 3.3.1 Association of age of sexual debut and HIV infection by age group and sex 34 3.3.2 Association between lifetime sexual partners and HIV infection by age 37 group and sex 3.3.3 Association of non-spousal partners age with prevalence of HIV 40 infection by age group and sex vii

3.3.4 Frequency of age difference between non-spousal partners age and 41 respondents age by sex LIST OF TABLES 3.1 Socio-demographic characteristics between those who provided OMT 28 and those who did not by sex in Limpopo Province, RSA 3.2 Prevalence of HIV infection by age group and sex 29 3.3.1a Associations between socio-demographic characteristics and life style and HIV infection among men in Limpopo Province, RSA 31 3.3.1b Associations between socio-demographic characteristics and life style 32 and HIV infection among women in Limpopo Province, RSA 3.3.2 Association of potential risk factors for HIV and unemployment by sex 33 3.3.3a Association between reported sexual behaviours and HIV infection among men in Limpopo Province, RSA 35 3.3.3b Association between reported sexual behaviours and HIV infection 36 3.3.4a among women in Limpopo Province, RSA Association between non-spousal partners characteristics and HIV infection among men in Limpopo Province, RSA 38 3.3.4b Association between non-spousal partners characteristic sand HIV 39 infection among women in Limpopo Province, RSA 3.4 Association of risk factors and HIV infection among respondents aged 43 14 to 25 by sex in Limpopo Province, RSA viii

LIST OF ACRONYMS AIDS ARV CI CVL DNA ELISA GUD HIV HPV Acquired Immuno Deficiency Syndrome Antiretroviral Confidence Interval Cervicovaginal Lavage Deoxyribonucleic acid Enzyme-linked Immuno Sorbent Assay Genital Ulcer Disease Human Immuno deficiency Virus Human Papilloma Virus HSV-2 Herpes Simplex Virus type 2 IEC IQR OMT OR RADAR RNA RSA SES STIs UNAID WHO Information Education and Communication Interquartile Range Oral Mucosal Transudate Odds Ratio Rural Aids and Development Action Research Ribonucleic acid Republic of South Africa Socio-economic Status Sexual Transmitted Infections United Nations Programme for HIV/AIDS World Health Organization ix

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