Abstract

Doc number: 96

Abstract

Background: In China, high-risk human papillomavirus (HR-HPV) prevalence is unexpectedly high in older women, but the possible reasons have not been well studied yet. This study investigated the age trends of HR-HPV infection in a prospective study.

Methods: A total of 7397 women aged 25-65 years without cervical precancer or cancer were evaluated during 2010-2011 with a stratified sample of 2791 women re-evaluated after one year. Test results for care HPV and care HPV16/18/45 were used to describe the HR-HPV prevalence, incidence and clearance. Risk factors associated with HR-HPV infections were explored using a logistic regression model.

Results: The overall HR-HPV prevalence was 13.1% at baseline, with a peak of 19.3% in women aged 55-59 years. The prevalence of HR-HPV (p for trends < 0.001), HPV16/18/45 (p for trends = 0.002), and HR-HPV other than HPV16/18/45 (p for trends = 0.002) generally increased with increasing age. Number of infections that cleared was generally greater than number of incident infections within age groups. One-year clearance rate decreased with increasing age (p for trends < 0.001), however, incidence rate was unrelated to age ( p for trends = 0.159). Risk factors that associated with HR-HPV infection differed between younger and older women.

Conclusions: The greater HR-HPV prevalence in older versus younger women in rural China may be explained by a cohort effect, higher than expected incidence, and/or poorer clearance at older age.

Details

Title
A prospective study of age trends of high-risk human papillomavirus infection in rural China
Author
Kang, Le-Ni; Castle, Philip E; Zhao, Fang-Hui; Jeronimo, Jose; Chen, Feng; Bansil, Pooja; Li, Jing; Chen, Wen; Zhang, Xun; Qiao, You-Lin
Pages
96
Publication year
2014
Publication date
2014
Publisher
BioMed Central
e-ISSN
14712334
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
1503147408
Copyright
© 2014 Kang et al.; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.