Predictors of male condom use among sexually active heterosexual young women in South Africa, 2012
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Date
Authors
Ntshiqa, Thobani
Musekiwa, Alfred
Mlotshwa, Mandla
Mangold, Kerry
Reddy, Carl
Williams, Seymour
Journal Title
Journal ISSN
Volume Title
Publisher
BioMed Central
Abstract
BACKGROUND : In South Africa, young women are at disproportionate risk of HIV infection with about 2363 new infections
per week in 2015. Proper condom use is one of the most effective HIV/AIDS prevention strategies among sexually active
persons. Understanding factors associated with male condom use in this key population group is important to curb the
spread of HIV. This study determined practices and predictors of male condom use among sexually active young women
in South Africa.
METHODS : The 2012 National HIV Communication Survey measured the extent of exposure to communication activities
for HIV prevention among men and women aged 16–55 years in South Africa. We performed a secondary data analysis
on a subset of this survey, focussing on 1031 women aged 16–24 years who reported having had sex in the past
12 months. We determined predictors of male condom use using the unconditional multivariable logistic regression
model.
RESULTS : Of the 1031 young women, 595 (57.8%) reported using a male condom at last sex, 68.4% in women aged
16–19 years and 54.5% in women aged 20–24 years (p < 0.001). Delayed sexual debut [20 years or above] (Adjusted Odds
Ratio [aOR] 2.1, 95% CI: 1.2 to 3.7, p = 0.006); being a student (aOR 1.6, 95% CI: 1.2 to 2.3, p = 0.005); and exposure to HIV
communication programmes (aOR 3.1, 95% CI: 1.2 to 8.6, p = 0.025) were significantly associated with male condom use
at last sex.
CONCLUSION : Male condom use was a common practice among young women and was associated with delayed sexual
debut and exposure to HIV communication programmes. Behavioral interventions and HIV communication programmes
should therefore encourage young women to delay initiation of sex and promote usage of male condoms.
Description
Additional File 1: Table S1. Male condom use at last sex by sociodemographic
factors among sexually active young women aged 16–
24 years, National HIV Communication Survey, South Africa, 2012, Frequency distribution table with bivariate analysis of socio-demographic factors associated
with male condom use at last sex among Sexually Active Young
Women in South Africa with percentages and Chi-square Inferences, Sociodemographic
factors associated with condom use.
Additional File 2: Figure S1. Male condom use at last sex by race among the sexually active young women aged 16–24 years, National HIV Communication Survey, South Africa, 2012. Graphical presentation of male condom use by race using percentages, Male condom use by race.
Additional File 3: Figure S2. Male condom use at last sex by settlement type among the sexually active young women aged 16– 24 years, National HIV Communication Survey, South Africa, 2012. Graphical presentation of male condom use by settlement type using percentages, Male condom use by settlement type.
Additional File 4: Figure S3. Male condom use at last sex by marital status among the sexually active young women aged 16–24 years, National HIV Communication Survey, South Africa, 2012, Graphical presentation of male condom use by marital status using percentages, Male condom use by marital status.
Additional File 5: Figure S4. Male condom use at last sex by level of education among the sexually active young women aged 16–24 years, National HIV Communication Survey, South Africa, 2012, Graphical presentation of male condom use by level of education using percentages, Male condom use by level of education.
Additional File 6: Figure S5. Male condom use at last sex by employment status among the sexually active young women aged 16– 24 years, National HIV Communication Survey, South Africa, 2012, Graphical presentation of male condom use by employment status using percentages, Male condom use by employment status.
Additional File 7: Table S2. Sexual behavioural practices and condom use at last sex among the sexually active young women aged 16– 24 years, National HIV Communication Survey, South Africa, 2012, Frequency distribution table with bivariate analysis of Sexual behavioural practices associated with male condom use at last sex among Sexually Active Young Women in South Africa with percentages and Chi-square Inferences. Sexual behavioural practices associated with condom use.
Additional File 8: Figure S6. Media sources accessed by young women aged 16–24 years, National HIV Communication Survey, South Africa, 2012, Graphical presentation of media sources accessed by young women using percentages, Media sources.
Additional File 9: Table S3. Access to media and exposure to HIV Communication Programmes among young women aged 16–24 years, National HIV Communication Survey, South Africa, 2012, Frequency distribution table showing Access to media and exposure to HIV Communication Programmes among Sexually Active Young Women in South Africa with percentages and Chi-square Inferences, Access to media and exposure to HIV Communication Programmes
Additional File 10: Table S4. Demographic and sexual behaviours determining HIV infection among sexually active young women aged 16–24 years, National HIV Communication Survey, South Africa, 2012, Factors associated with HIV Infection among Sexually Active Young Women in South Africa with percentages and Chi-square Inferences, Determinants of HIV Infection.
The data used in this paper are from the Third National HIV Communication Survey (NCS). The NCS is a collaborative survey undertaken by Johns Hopkins Health and Education in South Africa (JHHESA), LoveLife and Soul City.
Additional File 2: Figure S1. Male condom use at last sex by race among the sexually active young women aged 16–24 years, National HIV Communication Survey, South Africa, 2012. Graphical presentation of male condom use by race using percentages, Male condom use by race.
Additional File 3: Figure S2. Male condom use at last sex by settlement type among the sexually active young women aged 16– 24 years, National HIV Communication Survey, South Africa, 2012. Graphical presentation of male condom use by settlement type using percentages, Male condom use by settlement type.
Additional File 4: Figure S3. Male condom use at last sex by marital status among the sexually active young women aged 16–24 years, National HIV Communication Survey, South Africa, 2012, Graphical presentation of male condom use by marital status using percentages, Male condom use by marital status.
Additional File 5: Figure S4. Male condom use at last sex by level of education among the sexually active young women aged 16–24 years, National HIV Communication Survey, South Africa, 2012, Graphical presentation of male condom use by level of education using percentages, Male condom use by level of education.
Additional File 6: Figure S5. Male condom use at last sex by employment status among the sexually active young women aged 16– 24 years, National HIV Communication Survey, South Africa, 2012, Graphical presentation of male condom use by employment status using percentages, Male condom use by employment status.
Additional File 7: Table S2. Sexual behavioural practices and condom use at last sex among the sexually active young women aged 16– 24 years, National HIV Communication Survey, South Africa, 2012, Frequency distribution table with bivariate analysis of Sexual behavioural practices associated with male condom use at last sex among Sexually Active Young Women in South Africa with percentages and Chi-square Inferences. Sexual behavioural practices associated with condom use.
Additional File 8: Figure S6. Media sources accessed by young women aged 16–24 years, National HIV Communication Survey, South Africa, 2012, Graphical presentation of media sources accessed by young women using percentages, Media sources.
Additional File 9: Table S3. Access to media and exposure to HIV Communication Programmes among young women aged 16–24 years, National HIV Communication Survey, South Africa, 2012, Frequency distribution table showing Access to media and exposure to HIV Communication Programmes among Sexually Active Young Women in South Africa with percentages and Chi-square Inferences, Access to media and exposure to HIV Communication Programmes
Additional File 10: Table S4. Demographic and sexual behaviours determining HIV infection among sexually active young women aged 16–24 years, National HIV Communication Survey, South Africa, 2012, Factors associated with HIV Infection among Sexually Active Young Women in South Africa with percentages and Chi-square Inferences, Determinants of HIV Infection.
The data used in this paper are from the Third National HIV Communication Survey (NCS). The NCS is a collaborative survey undertaken by Johns Hopkins Health and Education in South Africa (JHHESA), LoveLife and Soul City.
Keywords
Predictor, Condom use, Young women, Sexually active, HIV prevention, South Africa (SA), Human immunodeficiency virus (HIV)
Sustainable Development Goals
Citation
Ntshiqa, T., Musekiwa, A., Mlotshwa, M. et al. 2018, 'Predictors of male condom use among sexually active heterosexual young women in South Africa, 2012', BMC Public Health, vol. 18, art. 1137, pp. 1-14.