Evidence Hub

Prevalence of sexually transmitted infections and associated factors among the University of Gondar students, Northwest Ethiopia: a cross-sectional study

B. A. Kassie, Hedja Yenus, Resom Berhe, Eskeziaw Abebe Kassahun

Reproductive Health, 2019

82 citations

Abstract

IntroductionGlobally, sexually transmitted infections (STIs) remain a major public health problem. University students tend to practices sex which predisposes them to sexually transmitted infections, unwanted pregnancies, and unsafe abortions due to their freedom from families. Therefore, the study aimed to assess the prevalence of sexually transmitted infections and associated factors among the University of Gondar students, northwest Ethiopia.MethodsAn institution based cross-sectional study was conducted on 845 the University of Gondar students selected using the multistage sampling technique from March 7–10, 2016. The data were collected using a structured, pre-tested self-administered questionnaire. Bivariate and multivariable logistic regression analyses were employed through SPSS version 20 to identify factors associated with sexually transmitted infections. Odds ratio with a 95% confidence interval was computed to determine the level of association. In the multivariable analysis, variables with p-value less than 5% were considered as statistically significant association between covariates and sexually transmitted infections.ResultSexually transmitted infections among university students were found to be 18.20% (95%CI,15.40,20.80). Previous history of sexually transmitted infections (AOR = 2.1; 95%CI: 1.04, 4.38), multiple sexual partners in life (AOR = 2.7; 95%CI:1.70, 4.40), not use of condoms during sexual intercourses (AOR = 2.4; 95%CI:1.50,3.75) and poor…

How strong is the evidence?

Evidence Hub reads this as a cross-sectional, done in people. Its evidence level is 4 of 5 (Low · observational). Observational designs can show an association but not prove cause.

How the five levels of evidence work. The level is assigned automatically from the abstract and can be wrong, so check the paper.

Read the paper

Related studies

Go deeper in Evidence Hub

Evidence Hub adds a study data sheet (design, sample size, evidence level, key numbers), an AI summary and a chat grounded in the paper's text.

Open this study Sign up free