Sexual Health Literacy in the Context of Artificial Intelligence Among Nursing Students: A Descriptive Cross-Sectional Study

ABCTRACTObjectives This study aimed to examine nursing students’ sexual health literacy and attitudes toward artificial intelligence (AI), and the relationship between them.Method This descriptive and cross-sectional study was conducted with 377 nursing students enrolled at a public university. Data were collected using a Demographic Information Form, the Students’ Attitudes Toward Artificial Intelligence Scale, and the Sexual Health Literacy Scale. Descriptive statistics, correlation analysis, and multiple regression analysis were used to analyze the data.Results Nursing students had moderate to high sexual health literacy and generally positive attitudes toward AI. Students with higher sexual health literacy had more positive attitudes toward AI (r = .216, p < .01). Multiple regression analysis showed that sexual health literacy (standardized β = 0.300, 95% CI for B = 0.329 to 0.697, p < .001) and sexual attitude (standardized β = −0.140, 95% CI for B = −0.809 to −0.106, p = .011) were significantly associated with attitudes toward AI. The model explained a small proportion of the variance (Adjusted R2 = .072).Conclusions The findings offer suggestive evidence that nursing students with higher sexual health literacy hold more positive attitudes toward AI and may be better positioned to use it productively for sexual health information. These findings highlight the importance of integrating sexual health literacy with digital and AI literacy within a holistic framework in nursing education.