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ORIGINAL ARTICLE
Year : 2022  |  Volume : 27  |  Issue : 2  |  Page : 176-184

Prevalence and sociodemographic determinants of risky sexual behavior among unmarried adolescents in Southeast Nigeria


1 Department of Community Medicine, Ebonyi State University, Abakaliki, Nigeria
2 Department of Community Medicine, University of Nigeria, Nsukka, Nigeria
3 Health Policy Research Group, University of Nigeria Enugu Campus, Enugu, Nigeria
4 Department of Health Administration and Management, University of Nigeria, Nsukka, Nigeria

Correspondence Address:
Ifunanya C Agu
Health Policy Research Group, University of Nigeria Enugu Campus, Nsukka.
Nigeria
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Source of Support: None, Conflict of Interest: None


DOI: 10.4103/ijmh.IJMH_14_21

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Background: Adolescent risky sexual behavior is of a public health concern as most outcomes have long-term negative consequences on adolescents’ health and development. Objectives: This study was undertaken to assess the prevalence and sociodemographic determinants of risky sexual behavior among unmarried adolescents in Nigeria. Materials and Methods: A quantitative cross-sectional study was undertaken in Ebonyi state, Nigeria, using a pre-tested structured interviewer-administered questionnaire. Data were collected from 1045 adolescent boys and girls. Descriptive, bivariate, and multivariate analysis were performed using STATA software. Results: A total of 372 (35.6%) adolescents in the survey ever had a boyfriend or girlfriend. About, 369 (36.0%) had been pressurized by others to have sex, 73 (7.0%) had engaged in multiple sexual partnering, 3.0% had engaged in age-disparate sex, 27 (2.6%) had a one-night stand, and 37 (2.4%) reported they had engaged in nonconsensual sex. Lifestyle risky behaviors that were reported include partying/night clubbing 399 (38.1%), the use of mood-enhancing drugs 319 (30.5%), and alcohol consumption 316 (30.2%). Some sociodemographic factors were significantly associated with multiple sexual partnering, age-disparate sex, nonconsensual sex, and other lifestyle risky behaviors. In logistic regression analysis, gender was a predictor of multiple sexual partnering, age-disparate sex, and nonconsensual sex (odds ratio [OR] = 0.43, confidence interval [CI] = 1.40–3.71; OR = 10.0, CI = 0.03–0.29; OR = 3.0, CI = 0.01–0.14, respectively), while type of place of residence (OR = 1.75, CI = 0.35–0.92) and schooling status (OR = 3.70, CI = 0.13–0.41) were predictors of multiple sexual partnering. Conclusion: Risky sexual behaviors were prevalent among adolescents highlighting the need for strategic SRH interventions that pay close attention to identified drivers that predispose adolescents to unhealthy sexual behaviors.


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