570
Views
39
CrossRef citations to date
0
Altmetric
Major Articles

Knowledge of Human Papillomavirus and Perceived Barriers to Vaccination in a Sample of US Female College Students

&
Pages 186-190 | Published online: 02 Dec 2010
 

Abstract

Objective: To assess knowledge of human papillomavirus (HPV) and perceived barriers to being vaccinated against the virus. Participants: Three hundred ninety-six undergraduate women enrolled at Penn State University in Fall 2008. Methods: A random sample of students were invited to participate in a Web-based survey. Results: Awareness of HPV and the vaccine was high, but knowledge of HPV-related facts averaged only 65% overall. Knowledge was significantly predicted by frequency of media exposure and physician encouragement to be vaccinated, but not by the number of sex partners nor the frequency of condom/dental dam use. On average, women indicated that 2 of the 10 barriers listed applied to them. Physician encouragement negatively predicted barriers at p = .066. No other predictors approached significance. Conclusions: Serious misconceptions remain about specific aspects of the diseases and how they are acquired. Health education efforts are needed to improve knowledge in college populations and counteract perceived barriers.

Notes

*p < .05; **p < .001.

a Coded as 1 = Physician encouraged vaccination; 0 = Did not speak with physician; and −1 = Physician discouraged vaccination.

b p = .066; *p < .05; **p < .01; ***p < .001.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 141.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.