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1.
Cancer Epidemiol Biomarkers Prev ; 24(5): 842-53, 2015 May.
Article in English | MEDLINE | ID: mdl-25737331

ABSTRACT

BACKGROUND: The third British National Survey of Sexual Attitudes and Lifestyles (Natsal-3) provides an opportunity to explore high-risk human papillomavirus (HR-HPV) and uptake of cervical screening and HPV vaccination in the general population. METHODS: Natsal-3, a probability sample survey of men and women ages 16 to 74, resident in Britain, interviewed 8,869 women in 2010 to 2012. We explored risk factors for HR-HPV (in urine from 2,569 sexually experienced women ages 16 to 44), nonattendance for cervical screening in the past 5 years, and noncompletion of HPV catch-up vaccination. RESULTS: HR-HPV was associated with increasing numbers of lifetime partners, younger age, increasing area-level deprivation, and smoking. Screening nonattendance was associated with younger and older age, increasing area-level deprivation (age-adjusted OR 1.91, 95% confidence interval, 1.48-2.47 for living in most vs. least deprived two quintiles), Asian/Asian British ethnicity (1.96, 1.32-2.90), smoking (1.97, 1.57-2.47), and reporting no partner in the past 5 years (2.45, 1.67-3.61 vs. 1 partner) but not with HR-HPV (1.35, 0.79-2.31). Lower uptake of HPV catch-up vaccination was associated with increasing area-level deprivation, non-white ethnicity, smoking, and increasing lifetime partners. CONCLUSIONS: Socioeconomic markers and smoking were associated with HR-HPV positivity, nonattendance for cervical screening, and noncompletion of catch-up HPV vaccination. IMPACT: The cervical screening program needs to engage those missing HPV catch-up vaccination to avoid a potential widening of cervical cancer disparities in these cohorts. As some screening nonattenders are at low risk for HR-HPV, tailored approaches may be appropriate to increase screening among higher-risk women.


Subject(s)
Papillomaviridae/isolation & purification , Papillomavirus Infections/epidemiology , Papillomavirus Vaccines/administration & dosage , Uterine Cervical Neoplasms/epidemiology , Vaccination/statistics & numerical data , Adolescent , Adult , Aged , Female , Health Surveys , Humans , Mass Screening , Middle Aged , Papillomavirus Infections/prevention & control , Papillomavirus Infections/virology , Probability , Risk Factors , Smoking/adverse effects , Socioeconomic Factors , United Kingdom/epidemiology , Uterine Cervical Neoplasms/prevention & control , Uterine Cervical Neoplasms/virology , Young Adult
2.
J Infect Dis ; 203(11): 1621-8, 2011 Jun 01.
Article in English | MEDLINE | ID: mdl-21592992

ABSTRACT

BACKGROUND: Human immunodeficiency virus type 1 (HIV-1) superinfection is infection of an HIV-1 seropositive individual with another HIV-1 strain. The rate at which HIV-1 superinfection occurs might be influenced by sexual behavior. Superinfection might be detected more often by analyzing longitudinal samples collected from time periods of unsafe sexual behavior. METHODS: Envelope C2-C4 and gag sequences were generated from HIV-1 RNA from longitudinal serum samples that were obtained around self-reported sexual risk periods from 15 homosexual therapy-naïve men who participated in the Amsterdam Cohort Studies on HIV Infection and AIDS. Maximum likelihood phylogenetic analysis was used to determine whether HIV-1 superinfection had occurred. RESULTS: We studied a total of 124 serum samples from 15 patients with a median of 8 samples and of 5.8 person-years of follow-up per patient. Phylogenetic analysis on 907 C2-C4 env and 672 gag sequences revealed no case of HIV-1 superinfection, resulting in a superinfection incidence rate of 0 per 100 person-years [95%CI: 0 - -4.2]. CONCLUSIONS: We conclude that HIV-1 superinfection incidence is low in this subgroup of homosexual men who reported unsafe sexual behavior. Additional studies are required to estimate the impact of also other factors, which may determine the risk to acquire HIV-1 superinfection.


Subject(s)
HIV Infections/epidemiology , HIV-1/isolation & purification , Homosexuality, Male/statistics & numerical data , Superinfection/epidemiology , Superinfection/virology , Unsafe Sex/statistics & numerical data , Genes, env , Genes, gag , HIV Infections/blood , HIV Infections/virology , HIV-1/genetics , Humans , Male , Netherlands/epidemiology , Phylogeny , Prospective Studies , RNA, Viral/blood , RNA, Viral/chemistry , Risk-Taking , Superinfection/blood
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