Predictors of Multiple Sexual Partners among Men in Ethiopia: A Multilevel Analysis |
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Authors: | Abebe Debu Liga Yasin Negash Jabir Belete Adelo Wobse Reta Habtamu Bacha |
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Affiliation: | 1. Department of Statistics, College of Natural and Computational Sciences, Wolkite University, Ethiopia;2. Department of Statistics, College of Natural Science, Jimma University, Ethiopia |
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Abstract: | BackgroundMultiple sexual partnerships were one of the public health issues in the spread of high rates of sexually transmitted infections in sub-Saharan regions. An increase in the number of non-marital sexual partners can lead to a loss of satisfaction as well as other mental health repercussions such as greater rates of anxiety, depression, etc. This study examined the predictors of multiple sexual partners among men in Ethiopia.MethodsThis study used 2016 nationally representative data which was conducted using a multistage stratified cluster sampling method. Multilevel binary logistic regression models were employed to estimate the predictors of multiple sexual partners among men in Ethiopia with the assistance of the STATA software.ResultsIn this study 6778 participants were considered with an overall prevalence rate of multiple sexual partners of 6.5% during the 12 months preceding the survey. The findings showed that older-age, urban-resident, inconsistent use of a condom, exposure to any media, abuse of alcohol, early-time first-sex, and religion were predictors of multiple sexual partners among men in Ethiopia.ConclusionsThe findings revealed that the prevalence rate of men''s multiple sexual partners in Ethiopia was very high. Therefore, the country needs to re-examine the behavioral change strategies periodically to adapt to the contextual realities and engage relevant stakeholders. Specifically, health sectors and religious organizations should develop strategies to create awareness in society on the risk of having multiple sexual partnerships. In addition, we highly recommend stakeholders prepare risk reduction interventions that take the significant predictors of multiple sexual partners. |
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Keywords: | multiple sexual partnerships predictor multilevel logistic regression EDHS |
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