Risky sexual behavior and associated factors among secondary school students in Harari regional state: Multicenter study

Eyeberu, Addis; Lami, Magarsa; Bete, Tilahun; Yadeta, Elias; Negash, Abraham; Balcha, Tegenu; Sertsu, Addisu; Birhanu, Bekelu; Alemu, Ayichew; Meseret, Fentahun; Getachew, Tamirat; Alemu, Addisu; mohamed, Ahmed; Ahemed, Fila; Birhanu, Abdi; Nigussie, Shambel; Debella, Adera; Dessie, Yadeta

doi:10.1016/j.ijans.2022.100520

Cited by 6 publications

(3 citation statements)

References 33 publications

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“…Even though many policies and strategies have been designed and implemented in Ethiopia, RSB remains to be a great public health concern. The national level magnitude identified is lower than the findings of the studies conducted in Benshangul Gumuz, Harari regional state, Gondar, Mekelle, Axum, Bahir Dar, and systematic review and meta-analysis study conducted on college and university students [3,13,15,[33][34][35][36]. This might be because of the difference in the size of the denominator, and study area.…”

Section: Discussioncontrasting

confidence: 57%

“…According to different literature documentation factors associated with risky sexual behavior include sex, age, educational status, occupational status, divorced parents, substance abuse disorders, average daily income, permissive attitudes, mood disorders, peer pressure, unpleasant childhood events like sexual abuse, exposure to sexual content of media, sexual trafficking, or maltreatment, previous residence, type of sleeping place, cigarette smoking, and benzene sniffing [3,13,14].…”

Section: Introductionmentioning

confidence: 99%

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Hotspot areas of risky sexual behaviour and associated factors in Ethiopia: Further spatial and mixed effect analysis of Ethiopian demographic health survey

Anley,

Zemene,

Gebeyehu

et al. 2024

PLoS ONE

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Introduction Sexual behaviour needs to take a central position in the heart of public health policy makers and researchers. This is important in view of its association with Sexually Transmitted Infections (STIs), including HIV. Though the prevalence of HIV/AIDS is declining in Ethiopia, the country is still one of the hardest hit in the continent of Africa. Hence, this study was aimed at identifying hot spot areas and associated factors of risky sexual behavior (RSB). This would be vital for more targeted interventions which can produce a sexually healthy community in Ethiopia. Methods In this study, a cross-sectional survey study design was employed. A further analysis of the 2016 Ethiopia Demographic and Health Survey data was done on a total weighted sample of 10,518 women and men age 15–49 years. ArcGIS version 10.7 and Kuldorff’s SaTScan version 9.6 software were used for spatial analysis. Global Moran’s I statistic was employed to test the spatial autocorrelation, and Getis-Ord Gi* as well as Bernoulli-based purely spatial scan statistics were used to detect significant spatial clusters of RSB. Mixed effect multivariable logistic regression model was fitted to identify predictors and variables with a p-value ≤0.05 were considered as statistically significant. Result The study subjects who had RSB were found to account about 10.2% (95% CI: 9.64%, 10.81%) of the population, and spatial clustering of RSB was observed (Moran’s I = 0.82, p-value = 0.001). Significant hot spot areas of RSB were observed in Gambela, Addis Ababa and Dire Dawa. The primary and secondary SaTScan clusters were detected in Addis Ababa (RR = 3.26, LLR = 111.59, P<0.01), and almost the entire Gambela (RR = 2.95, LLR = 56.45, P<0.01) respectively. Age, literacy level, smoking status, ever heard of HIV/AIDS, residence and region were found to be significant predictors of RSB. Conclusion In this study, spatial clustering of risky sexual behaviour was observed in Ethiopia, and hot spot clusters were detected in Addis Ababa, Dire Dawa and Gambela regions. Therefore, interventions which can mitigate RSB should be designed and implemented in the identified hot spot areas of Ethiopia. Interventions targeting the identified factors could be helpful in controlling the problem.

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Section: Discussioncontrasting

confidence: 57%

Section: Introductionmentioning

confidence: 99%

Hotspot areas of risky sexual behaviour and associated factors in Ethiopia: Further spatial and mixed effect analysis of Ethiopian demographic health survey

Anley,

Zemene,

Gebeyehu

et al. 2024

PLoS ONE

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“…For the qualitative component, sixteen individuals participated in the focus group discussions, and 8 in-depth interviews were conducted in two groups. However, the qualitative research principle of saturation was adhered to, meaning the sampling continued until no new information or insights were obtained, ensuring thorough exploration of the topic [ 13 ].…”

Section: Methodsmentioning

confidence: 99%

Risky sexual behavior and associated factors among out-of-school youths in Addis Ababa, Ethiopia; mixed methods study

Sifer,

Getachew

2024

Reprod Health

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Introduction Sexual risky behaviors, as defined by the World Health Organization, encompass a spectrum of sexual activities that heighten the likelihood of negative outcomes related to sexual and reproductive health. Despite the implementation of various healthcare programs and interventions, youths continue to encounter challenges in accessing reproductive health services. Consequently, they remain vulnerable to engaging in high-risk sexual behaviors; 50.36% of adolescents in Ethiopia. Therefore, this study was aimed to determine the prevalence of risky sexual behavior and associated factors among out-of-school Youths in Addis Ababa, Ethiopia; 2023. Methods A community based cross sectional mixed methods study was conducted among 701 youths in Addis Ababa from September 1st to 30th, 2023. The quantitative data were collected through face to face interview using a pre-tested structured questionnaire, while qualitative data were gathered through in depth interviews and focus group discussions. For the quantitative study, the study samples were chosen using systematic sampling. Conversely, purposive sampling was employed for the qualitative study. Variables with P-value ≤ 0.25 in the bivariate analysis were considered as candidates for the multivariable analysis. Statistical significance was declared at a P-value less than 0.05. Results The prevalence of risky sexual behavior among out of school students in Addis Ababa was 40.6% (95%CI: 36.8, 44.1). Age 15–19 years (AOR: 2.52; 95%CI: 1.61, 3.94), being female (AOR: 2.84; 95%CI: 1.93, 4.18), fathers who were unable to read and write (AOR: 4.13; 95%CI: 2.04, 8.37), alcohol consumption (AOR: 2.07; 95%CI: 1.33, 3.19), peer pressure (AOR: 2.59; 95%CI: 1.81, 3.72), live together with either of biological parent (AOR: 2.32; 95%CI: 1.52, 3.55), watching pornography (AOR: 2.10; 95%CI: 1.11, 3.97) and parental monitoring (AOR: 0.59; 95%CI: 0.39, 0.90) were factors associated with risky sexual behavior. Conclusion and recommendations A lower prevalence of risky sexual behavior compared to prior research efforts. Age, gender, educational level of the husband, alcohol consumption, peer pressure, living arrangements, exposure to pornography, and family monitoring emerged as significant factors associated with risky sexual behavior. Therefore, government should prioritize strategies to reduce substance use, mitigate the impact of watching pornography, and enhance parent-youth connectedness.

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Level of Sexual Health Knowledge and Sexual Behaviors Among Sri Lankan Schooling Adolescents: A Cross-Sectional Analytical Study of Selected Urban and Rural Areas in the Kandy District

Wickramaarachchi,

Perera,

Wijesekara

et al. 2024

Sex Res Soc Policy

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Risky sexual behavior and associated factors among secondary school students in Harari regional state: Multicenter study

Cited by 6 publications

References 33 publications

Hotspot areas of risky sexual behaviour and associated factors in Ethiopia: Further spatial and mixed effect analysis of Ethiopian demographic health survey

Hotspot areas of risky sexual behaviour and associated factors in Ethiopia: Further spatial and mixed effect analysis of Ethiopian demographic health survey

Risky sexual behavior and associated factors among out-of-school youths in Addis Ababa, Ethiopia; mixed methods study

Level of Sexual Health Knowledge and Sexual Behaviors Among Sri Lankan Schooling Adolescents: A Cross-Sectional Analytical Study of Selected Urban and Rural Areas in the Kandy District

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