Predictors of self-reported sexually transmitted infections among Turkish university students
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Date
2023
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Abstract
Background and aim: Sexually transmitted infections (STIs) are among the most crucial health problems that sexually active university students may encounter. This study aims to identify the predictors of self-reported STIs among university students. Methods: Study participants were 2,241 individuals who reported having had sexual intercourse among a cohort of 9,693 students surveyed from 21 Turkish universities. The age of participants ranged from 17 years to 28 years. Results: The Chi-Square Automatic Interaction Detection (CHAID) analysis indicated that gender was the main predictor of self-reported STI. Also, number of partners and substance use were found as predictor variables for males. Finally, the classification accuracy of the CHAID model was found to be 95.3% within the sample. Conclusions: The present findings shed light on risk factors for STI acquisition, suggesting possible directions for tailoring future preventive interventions. © 2023 Deutsche Dermatologische Gesellschaft (DDG).
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Adolescent , Humans , Male , Self Report , Sexual Behavior , Sexually Transmitted Diseases , Students , Universities , oral contraceptive agent , postcoitus contraceptive agent , adolescent , adult , alcohol consumption , Article , classification , cohort analysis , contraception , data accuracy , female , human , major clinical study , male , marriage , predictor variable , self report , sex difference , sexual intercourse , sexuality , sexually transmitted disease , sociodemographics , substance use , Turkish citizen , university student , self report , sexual behavior , sexually transmitted disease , student , university