| Autor: |
Esen, Erol, SİYEZ, DİĞDEM MÜGE, Gulsoy, Secil Seymenler, Siyez, Ender, BARAN, BAHAR |
| Jazyk: |
angličtina |
| Rok vydání: |
2023 |
| Popis: |
Background and aimSexually 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. MethodsStudy 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. ResultsThe 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. ConclusionsThe present findings shed light on risk factors for STI acquisition, suggesting possible directions for tailoring future preventive interventions. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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