Individual and community-level determinates of risky sexual behaviors among sexually active unmarried men: A multilevel analysis of 2016 Ethiopian Demographic and Health Survey
- PMID: 35862425
- PMCID: PMC9302804
- DOI: 10.1371/journal.pone.0270083
Individual and community-level determinates of risky sexual behaviors among sexually active unmarried men: A multilevel analysis of 2016 Ethiopian Demographic and Health Survey
Abstract
Background: In Ethiopia, HIV/AIDS continues to be a major public health problem mostly due to the high prevalence of risky sexual behaviors. However, research on risky sexual behavior and its determinants among unmarried men (never married, widowed, and divorced) who are highly vulnerable to risky sexual behavior was limited. Therefore, this study aimed to assess the magnitude of risky sexual behavior and its determinants among non-married men using a nationally representative sample.
Methods: The analysis was done on 5680 sexually active unmarried men aged 15-59 years using data from the 2016 Ethiopia Demographic Health Survey (EDHS). The main outcome variable was risky sexual behavior which defined as having at least one of the following: multiple sexual partners; initiation of sex before the age of 18 years; inconsistent condom use in the last 12 months; alcohol consumption at last sex. Multivariable generalized linear mixed-effects regression was employed to identify variables associated with risky sexual behavior.
Result: The overall magnitude of risky sexual behavior was 26.9% (95% CI; 25.7, 28.0). Currently employed (AOR = 2.49, 95% CI = 1.64-3.77), history of HIV testing (AOR = 2.51, 95% C = 1.95-3.23), drinking alcohol almost every day (AOR = 5.49, 95 CI = 2.73-11.02), and using Internet daily (AOR = 1.99, 95% CI = 1.06-3.74) increase the odds of risky sexual behavior. Whereas, primary education (AOR = 0.44, 95% CI = 0.32-0.61), secondary education level (AOR = 0.46, 95% CI = 0.29-0.72) and a high proportion of community-level media exposure (AOR = 0.42, 95% CI = 0.12-0.75) decrease the odds of risky sexual behavior.
Conclusion: In general, a significant proportion of sexually active unmarried men in Ethiopia have practiced risky sexual behavior. An intervention should be designed which are against the factors found to increase the odds of risky sexual behavior to reduce the incidence of HIV and other sexually transmitted infections.
Conflict of interest statement
The authors have declared that no competing interests exist.
Figures
Similar articles
-
Factors Associated with Risky Sexual Behavior Among Reproductive-Age Men in Ethiopia: Evidence from Ethiopian Demography and Health Survey 2016.HIV AIDS (Auckl). 2023 Sep 15;15:549-557. doi: 10.2147/HIV.S426379. eCollection 2023. HIV AIDS (Auckl). 2023. PMID: 37731945 Free PMC article.
-
A multilevel mixed effect analysis of neighbourhood and individual level determinants of risky sexual behaviour among young people in South Africa.Reprod Health. 2022 May 12;19(1):119. doi: 10.1186/s12978-022-01407-9. Reprod Health. 2022. PMID: 35549967 Free PMC article.
-
Prevalence and associated risk factors for men being paid for sex in Ethiopia: a multilevel analysis of 2016 Ethiopian demographic health survey data.Sci Rep. 2024 Jul 9;14(1):15772. doi: 10.1038/s41598-024-66748-w. Sci Rep. 2024. PMID: 38982269 Free PMC article.
-
Risky sexual behavior and associated factors among sexually-active unmarried young female internal migrants working in Burayu Town, Ethiopia.PLoS One. 2020 Oct 21;15(10):e0240695. doi: 10.1371/journal.pone.0240695. eCollection 2020. PLoS One. 2020. PMID: 33085687 Free PMC article.
-
Risky sexual practice and associated factors among people living with HIV/AIDS receiving antiretroviral therapy in Ethiopia: Systematic review and meta-analysis.PLoS One. 2022 Apr 14;17(4):e0266884. doi: 10.1371/journal.pone.0266884. eCollection 2022. PLoS One. 2022. PMID: 35421163 Free PMC article.
Cited by
-
Hotspot areas of risky sexual behaviour and associated factors in Ethiopia: Further spatial and mixed effect analysis of Ethiopian demographic health survey.PLoS One. 2024 May 31;19(5):e0303574. doi: 10.1371/journal.pone.0303574. eCollection 2024. PLoS One. 2024. PMID: 38820433 Free PMC article.
-
Prevalence and Predictors of Risky Sexual Behavior Among Young Men in India: Evidence From National Family Health Survey.Int J Sex Health. 2023 Dec 8;36(1):32-45. doi: 10.1080/19317611.2023.2286984. eCollection 2024. Int J Sex Health. 2023. PMID: 38600902 Free PMC article.
-
A multilevel analysis of the determinants of HIV testing among men in Sub-Saharan Africa: Evidence from Demographic and Health Surveys across 10 African countries.PLOS Glob Public Health. 2024 May 2;4(5):e0003159. doi: 10.1371/journal.pgph.0003159. eCollection 2024. PLOS Glob Public Health. 2024. PMID: 38696392 Free PMC article.
-
Women's autonomy in refusing risky sex in sub-Saharan Africa: Evidence from 30 countries.PLOS Glob Public Health. 2023 Sep 14;3(9):e0002350. doi: 10.1371/journal.pgph.0002350. eCollection 2023. PLOS Glob Public Health. 2023. PMID: 37708097 Free PMC article.
-
HIV-1 prevalence, drug resistance, and associated factors in the urban Ethiopian population.Sci Rep. 2025 May 17;15(1):17216. doi: 10.1038/s41598-025-02122-8. Sci Rep. 2025. PMID: 40382412 Free PMC article.
References
-
- Alamrew Z, Bedimo M, Azage M. Risky sexual practices and associated factors for HIV/AIDS infection among private college students in Bahir Dar City, Northwest Ethiopia. International Scholarly Research Notices. 2013;2013.
-
- Agajie M, Belachew T, Tilahun T, Amentie M. Risky sexual behavior and associated factors among high school youth in Pawe Woreda, Benishangul Gumuz Region. Science Journal of Clinical Medicine. 2015;4(4):67–75.
-
- Amsale C, Berhane Y. Factors associated with adolescent risky sexual behavior among school adolescents in Addis Ababa, Ethiopia. World Journal of AIDS. 2012;2:6.
MeSH terms
LinkOut - more resources
Full Text Sources