Literature DB >> 17327523

Prevalence of HPV infection among females in the United States.

Eileen F Dunne1, Elizabeth R Unger, Maya Sternberg, Geraldine McQuillan, David C Swan, Sonya S Patel, Lauri E Markowitz.   

Abstract

CONTEXT: Human papillomavirus (HPV) infection is estimated to be the most common sexually transmitted infection. Baseline population prevalence data for HPV infection in the United States before widespread availability of a prophylactic HPV vaccine would be useful.
OBJECTIVE: To determine the prevalence of HPV among females in the United States. DESIGN, SETTING, AND PARTICIPANTS: The National Health and Nutrition Examination Survey (NHANES) uses a representative sample of the US noninstitutionalized civilian population. Females aged 14 to 59 years who were interviewed at home for NHANES 2003-2004 were examined in a mobile examination center and provided a self-collected vaginal swab specimen. Swabs were analyzed for HPV DNA by L1 consensus polymerase chain reaction followed by type-specific hybridization. Demographic and sexual behavior information was obtained from all participants. MAIN OUTCOME MEASURES: HPV prevalence by polymerase chain reaction.
RESULTS: The overall HPV prevalence was 26.8% (95% confidence interval [CI], 23.3%-30.9%) among US females aged 14 to 59 years (n = 1921). HPV prevalence was 24.5% (95% CI, 19.6%-30.5%) among females aged 14 to 19 years, 44.8% (95% CI, 36.3%-55.3%) among women aged 20 to 24 years, 27.4% (95% CI, 21.9%-34.2%) among women aged 25 to 29 years, 27.5% (95% CI, 20.8%-36.4%) among women aged 30 to 39 years, 25.2% (95% CI, 19.7%-32.2%) among women aged 40 to 49 years, and 19.6% (95% CI, 14.3%-26.8%) among women aged 50 to 59 years. There was a statistically significant trend for increasing HPV prevalence with each year of age from 14 to 24 years (P<.001), followed by a gradual decline in prevalence through 59 years (P = .06). HPV vaccine types 6 and 11 (low-risk types) and 16 and 18 (high-risk types) were detected in 3.4% of female participants; HPV-6 was detected in 1.3% (95% CI, 0.8%-2.3%), HPV-11 in 0.1% (95% CI, 0.03%-0.3%), HPV-16 in 1.5% (95% CI, 0.9%-2.6%), and HPV-18 in 0.8% (95% CI, 0.4%-1.5%) of female participants. Independent risk factors for HPV detection were age, marital status, and increasing numbers of lifetime and recent sex partners.
CONCLUSIONS: HPV is common among females in the United States. Our data indicate that the burden of prevalent HPV infection among females was greater than previous estimates and was highest among those aged 20 to 24 years. However, the prevalence of HPV vaccine types was relatively low.

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Year:  2007        PMID: 17327523     DOI: 10.1001/jama.297.8.813

Source DB:  PubMed          Journal:  JAMA        ISSN: 0098-7484            Impact factor:   56.272


  404 in total

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2.  Evaluation of the polyclonal ELISA HPV serology assay as a biomarker for human papillomavirus exposure.

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Journal:  J Relig Health       Date:  2013-12

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Journal:  Public Health Rep       Date:  2012 Jan-Feb       Impact factor: 2.792

5.  Geographic poverty and racial/ethnic disparities in cervical cancer precursor rates in Connecticut, 2008-2009.

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6.  High prevalence of oncogenic HPV-16 in cervical smears of asymptomatic women of eastern Uttar Pradesh, India: a population-based study.

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7.  Determinants of newly detected human papillomavirus infection in HIV-infected and HIV-uninfected injection drug using women.

Authors:  Darcy F Phelan; Stephen J Gange; Linda Ahdieh-Grant; Shruti H Mehta; Gregory D Kirk; Keerti Shah; Patti Gravitt
Journal:  Sex Transm Dis       Date:  2009-03       Impact factor: 2.830

8.  Assessing the need for and acceptability of a free-of-charge postpartum HPV vaccination program.

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9.  Predictors of initial uptake of human papillomavirus vaccine uptake among rural Appalachian young women.

Authors:  Baretta R Casey; Richard A Crosby; Robin C Vanderpool; Mark Dignan; Wallace Bates
Journal:  J Prim Prev       Date:  2013-04

10.  Human papillomavirus community in healthy persons, defined by metagenomics analysis of human microbiome project shotgun sequencing data sets.

Authors:  Yingfei Ma; Ramana Madupu; Ulas Karaoz; Carlos W Nossa; Liying Yang; Shibu Yooseph; Patrick S Yachimski; Eoin L Brodie; Karen E Nelson; Zhiheng Pei
Journal:  J Virol       Date:  2014-02-12       Impact factor: 5.103

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