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Knowledge and Perceptions About Cervical Cancer and Human Papillomavirus, and Relationship with E-health Literacy, and Affecting Factors Among Female University Students.

Gülbahar Korkmaz AslanGülbahar Korkmaz AslanAsiye Kartal
Published in: Journal of adolescent and young adult oncology (2024)
Purpose: The aim of this study is to reveal female university students' knowledge and perceptions about cervical cancer (CC) and human papillomavirus (HPV), and relationship with e-health literacy (e-HL). It also aims to determine the predictors affecting CC and HPV. Methods: A cross-sectional study was conducted with 589 female university students in Türkiye. Data were collected using a "Cervical Cancer and HPV Awareness Questionnaire" and an "E-health Literacy Scale (e-HLS)." Analysis involved Pearson correlation analysis, Independent Sample t -test, one-way analysis of variance, and Linear Regression analysis. Results: Results indicate that female students exhibited a low level of knowledge and perception about CC and HPV. Only 2.90% of students reported being vaccinated, while 39.90% had sexual experience. Higher knowledge levels were observed among married individuals, those familiar with HPV and the HPV vaccine, those who had undergone Pap smear tests, sexually active individuals, and consistent condom users. e-HL had a positive impact on knowledge and perceived threat about CC and HPV. The affecting predictors for knowledge about CC and HPV were found to be e-HLS (β = 0.911), having prior knowledge of HPV (β = 0.201), and being aware of the HPV vaccine (β = 0.172). In terms of perceived threat, the affecting predictors were e-HLS (β = 0.207), having heard of HPV (β = 0.101), and having knowledge of the HPV vaccine (β = 0.092). Conclusion: e-HL emerged as a crucial predictor positively influencing knowledge and perceptions about CC and HPV. This suggests the potential for organizing digital health campaigns to enhance awareness and understanding of CC and HPV.
Keyphrases
  • high grade
  • healthcare
  • cervical cancer screening
  • mental health
  • primary care
  • depressive symptoms
  • public health
  • machine learning
  • men who have sex with men
  • electronic health record
  • human health