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. Cancer Epidemiol Biomarkers Prev; 24(5); 842–53. ©2015 AACR.

In over 99% of cases, cervical cancer is associated with persistent infection with one or more high-risk human papilloma virus (HR-HPV) genotypes (1). Every year in Britain approximately 2,900 women are diagnosed with cervical cancer (2), and it is the most common cancer in women under 35 years (3). Worldwide, the burden of cervical cancer varies substantially, and 85% of cases occur in low-to-middle income countries (4). In many high-income countries, including Britain, incidence and mortality have decreased over the past few decades, since the introduction of cervical cancer screening programs (5). In Britain, cervical screening uptake is high (around 80%; ref. 6), but cervical cancer incidence and mortality are higher in more deprived areas (7, 8). The two recent Cancer Reform Strategies (2011 and 2007; refs. 9, 10) have highlighted the need to reduce these inequalities. Understanding the burden of HR-HPV prevalence and uptake of cervical cancer prevention programs (HPV immunization and cervical screening) will help address this aim.

In Britain, there have been two recent notable changes in cervical cancer control. First, since 1996, increases in cervical cancer incidence have been seen in women ages 20 to 29 years (11), among whom screening uptake is lower and declining (12). Changes in both smoking and sexual behavior may be contributing to the upward trend (11). Second, in September 2008, the UK introduced a school-based HPV immunization program against HPV-16/18 (the types associated with over 70% of cervical cancers) for girls aged 12 years, which has achieved a fairly uniformly high uptake (>80% from 2008–2012; ref. 13). A catch-up program was implemented in schools and general practice over the first few years for girls aged up to 18 years. Coverage in these catch-up cohorts was lower and more variable (13) and showed some tendency to be lower in more deprived areas (14, 15, 16). We have already reported that Britain's third National Survey of Sexual Attitudes and Lifestyles (Natsal-3) found that women with more partners and those living in more deprived areas were less likely to complete the catch-up immunization schedule (17).

If nonparticipation in cervical screening and HPV immunization is not independent or participation is lower amongst individuals at risk of HR-HPV infection, their effectiveness may be limited. Natsal-3 provides an opportunity, unique in Britain, to explore individual-level data on participation in cervical screening and HPV immunization in relation to detailed demographic characteristics, sexual behaviors, and the presence of HR-HPV and to explore overlap between risk factors for HR-HPV infection and participation in prevention programs and thus to inform the provision of future services.

Participants and procedure

Natsal-3 is a stratified probability sample survey of 8,869 women and 6,293 men ages 16 to 74 years, resident in Britain. The overall response rate was 57.7%. Interviews were carried out between September 2010 and August 2012. Participants were interviewed using computer-assisted personal interviewing with computer-assisted self-interview (CASI) for the more sensitive questions. Details of the methods have been published previously (18, 19).

Natsal-3 included questions on sociodemographic characteristics, including educational level and occupation, allowing derivation of the National Statistics Socio-economic Classification (NS-SEC). Area-level deprivation was determined from postcodes using the Index of Multiple Deprivation (IMD; ref. 20), a multidimensional measure of deprivation.

Women who reported some sexual experience (although not necessarily a sexual partner) were routed into the CASI section of the questionnaire (N = 8,538) where cervical screening and HPV immunization questions were asked. Women aged 26 years and over at interview (N = 5,614) were asked “When did you last have a cervical smear test?” with the following five answer options: (i) I have never had one, (ii) less than 3 years ago, (iii) between 3 and 5 years ago, (iv) between 5 and 10 years ago, and (v) more than 10 years ago (adapted from ref. 21).

Women eligible for the HPV immunization program (those born on or after September 01, 1990, up to 21 years by the end of the interview period, N = 1,094) were asked “Have you ever been vaccinated against cervical cancer (received HPV vaccination)?” with the following three answer options: (i) Yes—I have completed three doses of the vaccine, (ii) Yes—I have had one or two doses of the vaccine, but not all three doses, and (iii) No. Women who had not been vaccinated and those who had only received one or two doses were defined as not having completed the recommended 3-dose vaccination course. Women who reported not having been vaccinated were asked whether they had been offered the vaccination.

Urine collection and testing

Briefly, at the end of the interview, a subsample of 16 to 44 year olds who reported at least one lifetime sexual partner was invited to provide a urine sample to be tested for STIs and 60% agreed (17). Written consent was provided for testing without return of results (22). Full details of the urine collection methods have been described previously (17, 18).

Urine samples from 2,569 women were tested for HPV (17). An in-house Luminex-based genotyping assay was used for the detection of HPV types (23). HPV types 16, 18, 31, 33, 35, 39, 45, 51, 52, 56, 58, 59, and 68 were defined as HR-HPV according to the WHO International Agency for Research on Cancer definition (24).

Ethics

The Natsal-3 study was approved by the Oxfordshire Research Ethics Committee A (Ref: 10/H0604/27; ref. 22).

Statistical analysis

Analyses were carried out using Stata (version 13) accounting for the stratification, clustering, and weighting of the sample. To account for differences in the probability of selection for and response to providing a urine sample, an additional weight was applied to the urine data (17, 18).

Logistic regression models were used to explore the factors associated with HR-HPV detection (N = 2,569), nonattendance for cervical screening in the past 5 years (N = 5,012), and noncompletion of HPV catch-up vaccination (N = 1,050). Limited results have been presented previously (17) but are expanded here to present a more comprehensive picture of factors associated with HR-HPV and HPV catch-up vaccination in the general British female population.

Women under 26 or over 64 (60 in Scotland), women reporting having had a hysterectomy (N = 365; who would not be invited for screening), and women reporting no lifetime sexual partners (N = 39; who are advised that they might decline their screening invitation) were excluded from analyses of cervical screening. Factors associated with noncompletion of HPV catch-up vaccination are presented for eligible women [born before September 01, 1995 (England and Wales), or March 01, 1995 (Scotland)].

We hypothesized that cervical screening nonattenders may have differing risk of HR-HPV and cervical cancer based on sociodemographics (e.g., ethnicity) and sexual behavior (e.g., partner numbers). We explored the characteristics of women not attending for cervical screening, to examine how the prevalence of other cofactors for cervical cancer (25) differed by HR-HPV risk.

We explore the overlap between factors associated with HR-HPV and participation in cervical screening and HPV catch-up vaccination.

HR-HPV prevalence

HR-HPV was detected in urine from 15.9% [95% confidence interval (CI), 14.4–17.5] of women ages 16 to 44 years reporting at least one lifetime partner. HR-HPV prevalence declined above age 24 and was associated with a number of sociodemographic characteristics (Table 1). Prevalence was higher in women not living with a partner, in women of lower socioeconomic status, as measured by markers including area-level deprivation [age-adjusted OR (AOR) 1.37; 1.05–1.80 for those living in the most deprived vs. least deprived two quintiles] and NS-SEC, and in those of mixed versus white ethnicity (AOR, 2.00; 1.09–3.67). Prevalence was lower in women of Asian/Asian-British ethnicity (AOR 0.40; 0.17–0.97). Prevalence did not vary significantly by sexual identity. Prevalence was higher in women who smoked (AOR 1.91; 1.49–2.43) or reported binge drinking regularly (AOR 1.80; 1.31–2.47).

Table 1.

Factors associated with high-risk HPV in urine in sexually experienced women ages 16 to 44 years

% (95% CI)OR (95% CI)Age-adjusted OR (95% CI)Denominator (unwt, wt)a
All 15.9% (14.4–17.5) —  2,569, 2,189 
Socio-demographic characteristics 
 Age (years)  P < 0.0001   
  16–19 24.4% (20.0–29.3) 1 (—)  377, 203 
  20–24 26.6% (22.8–30.8) 1.13 (0.82–1.56)  580, 370 
  25–34 15.6% (13.4–18.2) 0.58 (0.42–0.79)  1,108, 779 
  35–44 9.3% (7.1–12.2) 0.32 (0.22–0.47)  504, 837 
 Relationship status at interview  P < 0.0001 P < 0.0001  
  Living with a partner 11.2% (9.5–13.1) 1 (—) 1 (—) 1,256, 1,357 
  In a steady relationship (but not living with a partner) 26.0% (22.2–30.1) 2.79 (2.13–3.66) 1.95 (1.44–2.65) 602, 360 
  Previously in a live-in partnership 19.9% (15.3–25.4) 1.97 (1.37–2.84) 1.92 (1.34–2.76) 353, 240 
  Not in a steady relationship (never lived with partner) 23.9% (18.8–29.8) 2.49 (1.76–3.54) 1.65 (1.13–2.42) 355, 229 
 IMD (quintiles)b  P = 0.0238 P = 0.0578  
  1–2 (least deprived) 13.5% (11.2–16.1) 1 (—) 1 (—) 873, 778 
  3 15.0% (11.8–18.7) 1.13 (0.80–1.58) 1.12 (0.80–1.57) 502, 439 
  4–5 (most deprived) 18.3% (15.9–20.9) 1.43 (1.10–1.87) 1.37 (1.05–1.80) 1,194, 973 
 Academic qualificationsc  P = 0.6717 P = 0.1250  
  No academic qualifications 15.1% (10.5–21.4) 0.99 (0.63–1.56) 1.13 (0.72–1.77) 215, 191 
  Academic qualifications typically gained at age 16 16.7% (14.1–19.6) 1.12 (0.87–1.44) 1.3 (1.01–1.68) 877, 748 
  Studying for/attained further academic qualifications 15.2% (13.3–17.4) 1 (—) 1 (—) 1,348, 1,157 
 Housing tenure  P < 0.0001 P = 0.0011  
  Own outright 14.3% (10.0–19.9) 1.38 (0.88–2.16) 1.15 (0.72–1.81) 218, 201 
  Buying with a mortgage or loand 10.8% (8.9–13.0) 1 (—) 1 (—) 911, 912 
  Rent it 20.5% (18.0–23.1) 2.13 (1.64–2.78) 1.71 (1.30–2.26) 1,325, 996 
  Lives rent free 24.1% (16.6–33.8) 2.64 (1.59–4.38) 1.53 (0.91–2.56) 106, 74 
 Respondent's NS-SEC  P < 0.0001 P = 0.0009  
  Managerial and professional occupations 10.3% (8.3–12.7) 1 (—) 1 (—) 709, 714 
  Intermediate occupations 16.6% (13.0–21.1) 1.74 (1.21–2.52) 1.60 (1.11–2.30) 464, 423 
  Semiroutine/routine occupations 18.5% (15.6–21.7) 1.98 (1.45–2.69) 1.57 (1.14–2.17) 780, 617 
  No job (10+ hours/week) or not in last 10 years 22.5% (16.6–29.8) 2.53 (1.62–3.96) 2.08 (1.31–3.31) 210, 173 
  Student in full-time education 19.8% (15.8–24.6) 2.16 (1.50–3.11) 1.01 (0.66–1.55) 398, 256 
 Ethnic groupe  P = 0.0061 P = 0.0150  
  White 16.2% (14.6–18.0) 1 (—) 1 (—) 2,312, 1,914 
  Mixed 29.7% (19.4–42.7) 2.18 (1.24–3.85) 2.00 (1.09–3.67) 74, 58 
  Asian/Asian British 7.0% (2.9–15.5) 0.39 (0.16–0.95) 0.40 (0.17–0.97) 82, 114 
  Black/Black British 12.6% (6.8–22.0) 0.74 (0.38–1.46) 0.69 (0.36–1.32) 77, 77 
 Religion  P = 0.0286 P = 0.2671  
  None 17.7% (15.7–20.0) 1 (—) 1 (—) 1,509, 1,189 
  Christian—Church of England/Anglican 9.8% (6.2–15.2) 0.51 (0.30–0.85) 0.70 (0.42–1.19) 220, 235 
  Christian—Roman Catholic 14.2% (10.3–19.3) 0.77 (0.52–1.14) 0.84 (0.57–1.25) 261, 226 
  Christian—other 17.0% (13.4–21.5) 0.96 (0.69–1.32) 1.01 (0.73–1.39) 457, 396 
  Non-Christian 10.4% (5.9–17.7) 0.54 (0.29–1.01) 0.57 (0.31–1.05) 122, 142 
 Sexual identity  P = 0.2447 P = 0.1893  
  Heterosexual/straight 16.1% (14.5–17.8) 1 (—) 1 (—) 2,457, 2,108 
  Gay/lesbian/bisexual 11.4% (6.1–20.1) 0.67 (0.34–1.32) 0.62 (0.31–1.26) 107, 79 
Health behaviors 
 Smoking status  P < 0.0001 P < 0.0001  
  Non/ex-smoker 12.9% (11.4–14.7) 1 (—) 1 (—) 1,702, 1,568 
  Current smoker 23.4% (20.1–26.9) 2.05 (1.61–2.60) 1.91 (1.49–2.43) 867, 622 
 Frequency of binge drinkingf  P = 0.0001 P = 0.0011  
  Never/less than monthly 13.9% (12.2–15.7) 1 (—) 1 (—) 1,730, 1,573 
  Monthly 19.1% (15.6–23.2) 1.47 (1.10–1.96) 1.31 (0.98–1.75) 484, 355 
  Weekly or more often 23.8% (19.1–29.3) 1.94 (1.42–2.66) 1.80 (1.31–2.47) 355, 261 
Sexual behaviors 
 Age at first heterosexual sex (years)  P < 0.0001 P = 0.0059  
  18+ 11.0% (8.5–14.0) 1 (—) 1 (—) 577, 642 
  17 12.9% (9.8–16.7) 1.20 (0.79–1.82) 1.18 (0.78–1.80) 432, 419 
  16 20.5% (17.2–24.3) 2.10 (1.48–2.97) 1.78 (1.24–2.56) 659, 517 
  <16 20.2% (17.4–23.4) 2.06 (1.47–2.89) 1.65 (1.17–2.34) 859, 577 
 Number of sexual partners, lifetimeg  P < 0.0001 P < 0.0001  
  1 4.2% (2.4–7.2) 1 (—) 1 (—) 342, 361 
  2 11.3% (7.5–16.5) 2.89 (1.40–5.96) 2.74 (1.32–5.69) 234, 213 
  3–4 13.7% (10.6–17.5) 3.60 (1.91–6.81) 3.71 (1.97–7.01) 441, 388 
  5–9 17.2% (14.3–20.6) 4.74 (2.55–8.79) 5.67 (3.07–10.46) 709, 593 
  10+ 24.0% (20.9–27.4) 7.19 (3.94–13.10) 9.35 (5.14–17.02) 822, 614 
 Number of sexual partners, past 5 yearsg  P < 0.0001 P < 0.0001  
  0/1 7.1% (5.7–8.9) 1 (—) 1 (—) 1,162, 1,258 
  2 21.9% (17.5–26.9) 3.64 (2.52–5.25) 3.34 (2.29–4.86) 425, 316 
  3–4 23.0% (19.0–27.4) 3.88 (2.77–5.42) 3.43 (2.45–4.79) 424, 290 
  5+ 37.5% (32.7–42.7) 7.82 (5.63–10.86) 6.62 (4.68–9.38) 544, 313 
 Number of sexual partners without a condom, past yearg  P < 0.0001 P < 0.0001  
  0 11.3% (8.5–14.8) 1 (—) 1 (—) 449, 405 
  1 14.0% (12.3–15.9) 1.28 (0.91–1.80) 1.35 (0.96–1.90) 1,741, 1,566 
  2+ 40.1% (33.9–46.5) 5.27 (3.49–7.95) 4.35 (2.87–6.60) 347, 193 
Sexual health and services 
 Used hormonal contraceptionh, past year  P = 0.0001 P = 0.1711  
  No 13.1% (11.1–15.5) 1 (—) 1 (—) 1,172, 1,137 
  Yes 19.7% (17.5–22.1) 1.63 (1.28–2.07) 1.20 (0.92–1.55) 982, 1,388 
 Attended a sexual health (GUM) clinic, past 5 years  P < 0.0001 P < 0.0001  
  No 11.7% (10.2–13.4) 1 (—) 1 (—) 1,779, 1,686 
  Yes 30.4% (26.8–34.2) 3.29 (2.62–4.14) 2.54 (2.00–3.23) 765, 484 
 STI diagnosisi, past 5 years  P < 0.0001 P < 0.0001  
  No 14.7% (13.2–16.4) 1 (—) 1 (—) 2,316, 2,038 
  Yes 35.3% (29.2–41.9) 3.16 (2.33–4.28) 2.36 (1.76–3.16) 237, 134 
 Genital warts diagnosis, ever  P = 0.2095 P = 0.0891  
  No 15.8% (14.3–17.5) 1 (—) 1 (—) 2,436, 2,085 
  Yes 20.2% (13.9–28.3) 1.35 (0.85–2.14) 1.47 (0.94–2.30) 117, 86 
% (95% CI)OR (95% CI)Age-adjusted OR (95% CI)Denominator (unwt, wt)a
All 15.9% (14.4–17.5) —  2,569, 2,189 
Socio-demographic characteristics 
 Age (years)  P < 0.0001   
  16–19 24.4% (20.0–29.3) 1 (—)  377, 203 
  20–24 26.6% (22.8–30.8) 1.13 (0.82–1.56)  580, 370 
  25–34 15.6% (13.4–18.2) 0.58 (0.42–0.79)  1,108, 779 
  35–44 9.3% (7.1–12.2) 0.32 (0.22–0.47)  504, 837 
 Relationship status at interview  P < 0.0001 P < 0.0001  
  Living with a partner 11.2% (9.5–13.1) 1 (—) 1 (—) 1,256, 1,357 
  In a steady relationship (but not living with a partner) 26.0% (22.2–30.1) 2.79 (2.13–3.66) 1.95 (1.44–2.65) 602, 360 
  Previously in a live-in partnership 19.9% (15.3–25.4) 1.97 (1.37–2.84) 1.92 (1.34–2.76) 353, 240 
  Not in a steady relationship (never lived with partner) 23.9% (18.8–29.8) 2.49 (1.76–3.54) 1.65 (1.13–2.42) 355, 229 
 IMD (quintiles)b  P = 0.0238 P = 0.0578  
  1–2 (least deprived) 13.5% (11.2–16.1) 1 (—) 1 (—) 873, 778 
  3 15.0% (11.8–18.7) 1.13 (0.80–1.58) 1.12 (0.80–1.57) 502, 439 
  4–5 (most deprived) 18.3% (15.9–20.9) 1.43 (1.10–1.87) 1.37 (1.05–1.80) 1,194, 973 
 Academic qualificationsc  P = 0.6717 P = 0.1250  
  No academic qualifications 15.1% (10.5–21.4) 0.99 (0.63–1.56) 1.13 (0.72–1.77) 215, 191 
  Academic qualifications typically gained at age 16 16.7% (14.1–19.6) 1.12 (0.87–1.44) 1.3 (1.01–1.68) 877, 748 
  Studying for/attained further academic qualifications 15.2% (13.3–17.4) 1 (—) 1 (—) 1,348, 1,157 
 Housing tenure  P < 0.0001 P = 0.0011  
  Own outright 14.3% (10.0–19.9) 1.38 (0.88–2.16) 1.15 (0.72–1.81) 218, 201 
  Buying with a mortgage or loand 10.8% (8.9–13.0) 1 (—) 1 (—) 911, 912 
  Rent it 20.5% (18.0–23.1) 2.13 (1.64–2.78) 1.71 (1.30–2.26) 1,325, 996 
  Lives rent free 24.1% (16.6–33.8) 2.64 (1.59–4.38) 1.53 (0.91–2.56) 106, 74 
 Respondent's NS-SEC  P < 0.0001 P = 0.0009  
  Managerial and professional occupations 10.3% (8.3–12.7) 1 (—) 1 (—) 709, 714 
  Intermediate occupations 16.6% (13.0–21.1) 1.74 (1.21–2.52) 1.60 (1.11–2.30) 464, 423 
  Semiroutine/routine occupations 18.5% (15.6–21.7) 1.98 (1.45–2.69) 1.57 (1.14–2.17) 780, 617 
  No job (10+ hours/week) or not in last 10 years 22.5% (16.6–29.8) 2.53 (1.62–3.96) 2.08 (1.31–3.31) 210, 173 
  Student in full-time education 19.8% (15.8–24.6) 2.16 (1.50–3.11) 1.01 (0.66–1.55) 398, 256 
 Ethnic groupe  P = 0.0061 P = 0.0150  
  White 16.2% (14.6–18.0) 1 (—) 1 (—) 2,312, 1,914 
  Mixed 29.7% (19.4–42.7) 2.18 (1.24–3.85) 2.00 (1.09–3.67) 74, 58 
  Asian/Asian British 7.0% (2.9–15.5) 0.39 (0.16–0.95) 0.40 (0.17–0.97) 82, 114 
  Black/Black British 12.6% (6.8–22.0) 0.74 (0.38–1.46) 0.69 (0.36–1.32) 77, 77 
 Religion  P = 0.0286 P = 0.2671  
  None 17.7% (15.7–20.0) 1 (—) 1 (—) 1,509, 1,189 
  Christian—Church of England/Anglican 9.8% (6.2–15.2) 0.51 (0.30–0.85) 0.70 (0.42–1.19) 220, 235 
  Christian—Roman Catholic 14.2% (10.3–19.3) 0.77 (0.52–1.14) 0.84 (0.57–1.25) 261, 226 
  Christian—other 17.0% (13.4–21.5) 0.96 (0.69–1.32) 1.01 (0.73–1.39) 457, 396 
  Non-Christian 10.4% (5.9–17.7) 0.54 (0.29–1.01) 0.57 (0.31–1.05) 122, 142 
 Sexual identity  P = 0.2447 P = 0.1893  
  Heterosexual/straight 16.1% (14.5–17.8) 1 (—) 1 (—) 2,457, 2,108 
  Gay/lesbian/bisexual 11.4% (6.1–20.1) 0.67 (0.34–1.32) 0.62 (0.31–1.26) 107, 79 
Health behaviors 
 Smoking status  P < 0.0001 P < 0.0001  
  Non/ex-smoker 12.9% (11.4–14.7) 1 (—) 1 (—) 1,702, 1,568 
  Current smoker 23.4% (20.1–26.9) 2.05 (1.61–2.60) 1.91 (1.49–2.43) 867, 622 
 Frequency of binge drinkingf  P = 0.0001 P = 0.0011  
  Never/less than monthly 13.9% (12.2–15.7) 1 (—) 1 (—) 1,730, 1,573 
  Monthly 19.1% (15.6–23.2) 1.47 (1.10–1.96) 1.31 (0.98–1.75) 484, 355 
  Weekly or more often 23.8% (19.1–29.3) 1.94 (1.42–2.66) 1.80 (1.31–2.47) 355, 261 
Sexual behaviors 
 Age at first heterosexual sex (years)  P < 0.0001 P = 0.0059  
  18+ 11.0% (8.5–14.0) 1 (—) 1 (—) 577, 642 
  17 12.9% (9.8–16.7) 1.20 (0.79–1.82) 1.18 (0.78–1.80) 432, 419 
  16 20.5% (17.2–24.3) 2.10 (1.48–2.97) 1.78 (1.24–2.56) 659, 517 
  <16 20.2% (17.4–23.4) 2.06 (1.47–2.89) 1.65 (1.17–2.34) 859, 577 
 Number of sexual partners, lifetimeg  P < 0.0001 P < 0.0001  
  1 4.2% (2.4–7.2) 1 (—) 1 (—) 342, 361 
  2 11.3% (7.5–16.5) 2.89 (1.40–5.96) 2.74 (1.32–5.69) 234, 213 
  3–4 13.7% (10.6–17.5) 3.60 (1.91–6.81) 3.71 (1.97–7.01) 441, 388 
  5–9 17.2% (14.3–20.6) 4.74 (2.55–8.79) 5.67 (3.07–10.46) 709, 593 
  10+ 24.0% (20.9–27.4) 7.19 (3.94–13.10) 9.35 (5.14–17.02) 822, 614 
 Number of sexual partners, past 5 yearsg  P < 0.0001 P < 0.0001  
  0/1 7.1% (5.7–8.9) 1 (—) 1 (—) 1,162, 1,258 
  2 21.9% (17.5–26.9) 3.64 (2.52–5.25) 3.34 (2.29–4.86) 425, 316 
  3–4 23.0% (19.0–27.4) 3.88 (2.77–5.42) 3.43 (2.45–4.79) 424, 290 
  5+ 37.5% (32.7–42.7) 7.82 (5.63–10.86) 6.62 (4.68–9.38) 544, 313 
 Number of sexual partners without a condom, past yearg  P < 0.0001 P < 0.0001  
  0 11.3% (8.5–14.8) 1 (—) 1 (—) 449, 405 
  1 14.0% (12.3–15.9) 1.28 (0.91–1.80) 1.35 (0.96–1.90) 1,741, 1,566 
  2+ 40.1% (33.9–46.5) 5.27 (3.49–7.95) 4.35 (2.87–6.60) 347, 193 
Sexual health and services 
 Used hormonal contraceptionh, past year  P = 0.0001 P = 0.1711  
  No 13.1% (11.1–15.5) 1 (—) 1 (—) 1,172, 1,137 
  Yes 19.7% (17.5–22.1) 1.63 (1.28–2.07) 1.20 (0.92–1.55) 982, 1,388 
 Attended a sexual health (GUM) clinic, past 5 years  P < 0.0001 P < 0.0001  
  No 11.7% (10.2–13.4) 1 (—) 1 (—) 1,779, 1,686 
  Yes 30.4% (26.8–34.2) 3.29 (2.62–4.14) 2.54 (2.00–3.23) 765, 484 
 STI diagnosisi, past 5 years  P < 0.0001 P < 0.0001  
  No 14.7% (13.2–16.4) 1 (—) 1 (—) 2,316, 2,038 
  Yes 35.3% (29.2–41.9) 3.16 (2.33–4.28) 2.36 (1.76–3.16) 237, 134 
 Genital warts diagnosis, ever  P = 0.2095 P = 0.0891  
  No 15.8% (14.3–17.5) 1 (—) 1 (—) 2,436, 2,085 
  Yes 20.2% (13.9–28.3) 1.35 (0.85–2.14) 1.47 (0.94–2.30) 117, 86 

aParticipants who reported at least one lifetime sexual partner, with urine test results [unweighted (unwt), weighted (wt)].

bIMD is a multidimensional measure of area (neighborhood)-level deprivation based on the participant's postcode. IMD scores for England, Scotland, and Wales were adjusted before being combined and assigned to quintiles, using a method by Payne and Abel (20).

cParticipants aged ≥17 years.

dIncludes 29 women paying part mortgage and part rent (shared ownership).

eThose of Chinese/other ethnicity are excluded from the denominator due to small numbers.

fBinge drinking defined as having six units on one occasion.

gIncludes both opposite-sex and same-sex partners.

hDefined as having used the oral contraceptive pill, hormonal IUD, injections, or implants.

iDefined as having been diagnosed with one of chlamydia, gonorrhea, syphilis, genital herpes, genital warts, trichomonas, nonspecific urethritis/non-gonococcal urethritis.

HR-HPV was strongly associated with markers of more risky sexual behavior including a younger age (≤16 years) at first heterosexual intercourse, increasing numbers of partners over the lifetime and in the past 5 years, as well as reporting two or more partners without a condom in the past year (AOR 4.31; 2.83–6.55). Prevalence was also higher in women who reported attending a sexual health (GUM) clinic (AOR 2.54; 2.00–3.23) or sexually transmitted infection (STI) diagnosis/es (AOR 2.36; 1.76–3.16) in the past 5 years.

Cervical screening uptake

Figure 1A shows the time since last cervical screen in women ages 26 to 74 years. Overall, 96.8% of women ages 26 to 74 years reported ever having had a cervical screen. Over 70% of women ages 26 to 49 reported having attended screening within the last 3 years. Around 90% of women ages 50 to 64 years reported having attended for screening within the last 5 years. A notable proportion of 26 to 29 and 30 to 34 year olds reported never having had a cervical screen (12.1% and 5.9%, respectively).

Figure 1.

Uptake of cervical cancer interventions. A, time since last cervical smear test by age group among women ages 26 to 74 years. B, HPV vaccination uptake by school year at eligibility for vaccination in either the routine (Year 8/S2) or catch-up programs. A, women are eligible for cervical screening every 3 to 5 years depending on regional protocols (3 yearly to age 49 in England then 5 yearly to age 64; 3 yearly to age 64 in Wales and 3 yearly to age 60 in Scotland). Denominators exclude women who report having had a hysterectomy and those with no lifetime sexual partners. *, All women in eligible age range for screening. Denominators (unwt., wt.) are as follows: 26–29 (1,121, 547), 30–34 (1,025, 648), 35–39 (580, 664), 40–44 (571, 710), 45–49 (536, 694), 50–54 (427, 553), 55–59 (399, 505), 60–64 (381, 444), 65–69 (349, 387), 70–74 (225, 226), all eligible (5,012, 4,731). Percentage screened in past 5 years when women reporting a hysterectomy are included in the denominator (N = 5,372, 5,164) is 86.2%. B, denominators (unwt., wt.) are as follows: Y10 (153, 78), Y11 (244, 123), Y12 (238, 117), Y13 (415, 243), all catch-up (1,050, 562), routine (44, 21).

Figure 1.

Uptake of cervical cancer interventions. A, time since last cervical smear test by age group among women ages 26 to 74 years. B, HPV vaccination uptake by school year at eligibility for vaccination in either the routine (Year 8/S2) or catch-up programs. A, women are eligible for cervical screening every 3 to 5 years depending on regional protocols (3 yearly to age 49 in England then 5 yearly to age 64; 3 yearly to age 64 in Wales and 3 yearly to age 60 in Scotland). Denominators exclude women who report having had a hysterectomy and those with no lifetime sexual partners. *, All women in eligible age range for screening. Denominators (unwt., wt.) are as follows: 26–29 (1,121, 547), 30–34 (1,025, 648), 35–39 (580, 664), 40–44 (571, 710), 45–49 (536, 694), 50–54 (427, 553), 55–59 (399, 505), 60–64 (381, 444), 65–69 (349, 387), 70–74 (225, 226), all eligible (5,012, 4,731). Percentage screened in past 5 years when women reporting a hysterectomy are included in the denominator (N = 5,372, 5,164) is 86.2%. B, denominators (unwt., wt.) are as follows: Y10 (153, 78), Y11 (244, 123), Y12 (238, 117), Y13 (415, 243), all catch-up (1,050, 562), routine (44, 21).

Close modal

Table 2 shows factors associated with nonattendance for cervical screening in the past 5 years in women ages 26 to 64 (those eligible for screening), of which 8.9% (8.0–9.8) were nonattenders. Nonattendance was associated with a number of sociodemographic characteristics including younger (<30 years) or older (60+ years) age (OR 2.28, 1.72–3.00 and 2.01, 1.32–3.05, respectively, compared with those ages 30 to 39), lower socioeconomic status, including area-level deprivation (AOR 1.91; 1.48–2.47 for most vs. least deprived two quintiles) and having no educational qualifications (AOR 1.95; 1.43–2.66), and being of Asian/Asian British ethnicity (AOR 1.96; 1.32–2.90). Women self-identifying as lesbian were more likely to be nonattenders (AOR 2.94; 1.36–6.38). Nonattendance was also strongly associated with being a current smoker (AOR 1.97; 1.57–2.47). The relationship with markers of risky sexual behavior was not consistent. Overall, there was no association with age at first heterosexual intercourse or number of lifetime partners, although nonattendance was highest in those with one lifetime partner (11.4%). Women reporting no partners in the past 5 years (AOR 2.45; 1.67–3.61 vs. 1 partner), or no partners without a condom in the past year were more likely to be nonattenders. Nonattendance was lower in women who reported using hormonal contraceptives in the past year (AOR 0.53; 0.41–0.69) and in those who had ever attended a sexual health (GUM) clinic (AOR 0.53; 0.40–0.69) or had an STI diagnosis (AOR 0.49; 0.33–0.71). There was no difference in attendance by HR-HPV status overall (AOR 1.35; 0.79–2.31). Stratification of these analyses by age (<50 and 50+ years) and lifetime partners (1 and 2+) returned similar associations (data not shown).

Table 2.

Factors associated with nonattendance at cervical screening in the past 5 years in women ages 26 to 64 years

Not screened versus screened in past 5 years
Not in past 5 years% (95% CI)OR (95% CI)Age-adjusted OR (95% CI)Denominator (unwt, wt)a
All ages 8.9% (8.0–9.8)   5,012, 4,731 
Sociodemographic characteristics 
 Age, years  P < 0.0001   
  26–29 14.9% (12.7–17.4) 2.28 (1.72–3.00)  1,121, 547 
  30–39 7.1% (5.9–8.7) 1 (—)  1,605, 1,312 
  40–49 6.2% (4.9–8.0) 0.86 (0.61–1.21)  1,107, 1,404 
  50–59 9.6% (7.8–11.9) 1.38 (1.01–1.90)  826, 1,058 
  60–64 13.4% (9.7–18.2) 2.01 (1.32–3.05)  353, 411 
 Relationship status at interview  P < 0.0001 P = 0.0004  
  Living with a partner 8.0% (7.0–9.1) 1 (—) 1 (—) 3,151, 3,476 
  In a steady relationship (but not living with a partner) 8.4% (6.3–11.2) 1.06 (0.75–1.50) 1.04 (0.73–1.46) 585, 373 
  Previously in a live-in partnership 11.5% (9.4–14.0) 1.50 (1.14–1.96) 1.43 (1.09–1.87) 1,015, 717 
  Not in a steady relationship (never lived with partner) 18.5% (13.1–25.4) 2.61 (1.71–3.99) 2.31 (1.49–3.57) 234, 145 
 IMD (quintiles)b  P < 0.0001 P < 0.0001  
  1–2 (least deprived) 6.3% (5.2–7.6) 1 (—) 1 (—) 1,885, 1,938 
  3 8.9% (7.1–11.2) 1.46 (1.06–2.00) 1.44 (1.05–1.98) 1,003, 943 
  4–5 (most deprived) 11.5% (10.1–13.2) 1.95 (1.52–2.50) 1.91 (1.48–2.47) 2,124, 1,850 
 Academic qualifications  P < 0.0001 P = 0.0001  
  No academic qualifications 14.1% (11.5–17.1) 2.04 (1.53–2.73) 1.95 (1.43–2.66) 751, 764 
  Academic qualifications typically gained at age 16 8.1% (6.8–9.5) 1.09 (0.84–1.42) 1.16 (0.88–1.52) 1,828, 1,730 
  Studying for/attained further academic qualifications 7.4% (6.3–8.7) 1 (—) 1 (—) 2,278, 2,102 
 Housing tenure  P < 0.0001 P < 0.0001  
  Own outright 9.6% (7.7–12.0) 1.77 (1.28–2.46) 1.34 (0.93–1.92) 868, 1,034 
  Buying with a mortgage or loanc 5.7% (4.7–6.9) 1 (—) 1 (—) 2,092, 2,118 
  Rent it 12.6% (11.0–14.3) 2.40 (1.86–3.08) 2.14 (1.65–2.78) 1,967, 1,505 
  Lives rent free 17.3% (9.4–29.8) 3.49 (1.70–7.19) 2.88 (1.44–5.77) 71, 59 
 Respondent's NS-SEC  P < 0.0001 P < 0.0001  
  Managerial & professional occupations 6.4% (5.3–7.7) 1 (—) 1 (—) 1,868, 1,810 
  Intermediate occupations 7.0% (5.5–8.8) 1.10 (0.80–1.53) 1.07 (0.77–1.49) 1,160, 1,081 
  Semiroutine/routine occupations 11.8% (10.0–13.9) 1.96 (1.49–2.59) 1.88 (1.42–2.49) 1,361, 1,249 
  No job (10+ hours/week) or not in last 10 years 14.8% (11.4–18.9) 2.54 (1.77–3.65) 2.40 (1.66–3.47) 475, 474 
  Student in full-time education 9.5% (5.1–17.1) 1.55 (0.77–3.11) 1.32 (0.67–2.62) 124, 95 
 Ethnic group  P = 0.0066 P = 0.0052  
  White 8.3% (7.4–9.2) 1 (—) 1 (—) 4,415, 4,155 
  Mixed 11.7% (5.7–22.4) 1.46 (0.68–3.17) 1.49 (0.68–3.25) 89, 72 
  Asian/Asian British 15.1% (10.9–20.6) 1.97 (1.32–2.93) 1.96 (1.32–2.90) 254, 256 
  Black/Black British 11.8% (6.8–19.6) 1.48 (0.81–2.71) 1.62 (0.88–2.97) 174, 176 
  Other 12.5% (6.5–22.7) 1.58 (0.78–3.24) 1.52 (0.73–3.16) 69, 63 
 Religion  P = 0.0076 P = 0.0049  
  None 9.4% (8.2–10.9) 1 (—) 1 (—) 2,330, 2,052 
  Christian—Church of England/Anglican 6.3% (4.8–8.4) 0.65 (0.46–0.92) 0.60 (0.42–0.86) 832, 906 
  Christian—Roman Catholic 7.9% (5.9–10.6) 0.83 (0.58–1.19) 0.80 (0.55–1.16) 582, 558 
  Christian—other 9.2% (7.2–11.7) 0.97 (0.72–1.32) 0.93 (0.68–1.28) 930, 903 
  Muslim 13.9% (8.8–21.1) 1.55 (0.91–2.63) 1.50 (0.88–2.56) 160, 152 
  Hindu 19.6% (11.2–32.1) 2.34 (1.20–4.57) 2.21 (1.13–4.32) 68, 57 
  Other 8.6% (3.8–18.5) 0.91 (0.38–2.18) 0.91 (0.40–2.08) 102, 94 
 Sexual identity  P = 0.0271 P = 0.0234  
  Heterosexual/straight 8.7% (7.9–9.7) 1 (—) 1 (—) 4,849, 4,599 
  Gay/lesbian 20.9% (11.1–35.7) 2.76 (1.31–5.78) 2.94 (1.36–6.38) 63, 56 
  Bisexual 8.3% (3.9–16.5) 0.94 (0.43–2.05) 0.93 (0.44–1.98) 75, 53 
Health behaviors 
 Smoking status  P < 0.0001 P < 0.0001  
  Non/ex-smoker 7.5% (6.6–8.5) 1 (—) 1 (—) 3,700, 3,646 
  Current smoker 13.5% (11.5–15.7) 1.92 (1.54–2.40) 1.97 (1.57–2.47) 1,312, 1,085 
 Frequency of binge drinkingd  P = 0.0277 P = 0.0473  
  Never/less than monthly 9.5% (8.5–10.6) 1 (—) 1 (—) 3,769, 3,636 
  Monthly 6.7% (5.0–9.0) 0.69 (0.49–0.96) 0.69 (0.49–0.97) 664, 568 
  Weekly or more often 7.1% (5.3–9.4) 0.73 (0.52–1.02) 0.77 (0.55–1.09) 578, 527 
Sexual behaviors 
 Age at first heterosexual sex (years)  P = 0.3000 P = 0.5485  
  18+ 9.7% (8.3–11.2) 1 (—) 1 (—) 1,971, 2,033 
  16/17 8.2% (6.9–9.7) 0.83 (0.65–1.06) 0.89 (0.69–1.14) 1,943, 1,825 
  <16 8.4% (6.7–10.5) 0.86 (0.64–1.15) 0.87 (0.64–1.18) 1,040, 812 
 Number of sexual partners, lifetimee  P = 0.0612 P = 0.2391  
  1 11.4% (9.3–13.9) 1 (—) 1 (—) 832, 923 
  2 9.4% (7.0–12.4) 0.80 (0.54–1.19) 0.81 (0.55–1.21) 468, 478 
  3–4 8.5% (6.8–10.6) 0.72 (0.51–1.02) 0.77 (0.54–1.09) 920, 890 
  5–9 8.0% (6.5–9.9) 0.68 (0.49–0.94) 0.74 (0.54–1.03) 1,338, 1,246 
  10+ 7.5% (6.0–9.3) 0.63 (0.45–0.87) 0.68 (0.48–0.96) 1,367, 1,105 
 Number of sexual partners, past 5 yearse  P < 0.0001 P < 0.0001  
  0 19.3% (15.0–24.5) 2.72 (1.94–3.82) 2.45 (1.67–3.61) 358, 342 
  1 8.1% (7.1–9.2) 1 (—) 1 (—) 3,133, 3,311 
  2 8.2% (6.1–10.9) 1.02 (0.72–1.45) 0.94 (0.66–1.34) 625, 471 
  3–4 7.1% (5.1–9.8) 0.87 (0.60–1.25) 0.73 (0.50–1.05) 489, 328 
  5+ 8.2% (5.6–12.0) 1.02 (0.66–1.58) 0.77 (0.49–1.22) 349, 216 
 Number of sexual partners without a condom, past yeare  P < 0.0001 P < 0.0001  
  0 14.1% (12.0–16.6) 1 (—) 1 (—) 1,263, 1,136 
  1 7.1% (6.2–8.1) 0.46 (0.37–0.59) 0.48 (0.38–0.62) 3,420, 3,358 
  2+ 8.2% (5.0–12.9) 0.54 (0.31–0.93) 0.50 (0.28–0.89) 259, 163 
Health-related factors 
 Used hormonal contraceptionf, past year  P = 0.0001 P < 0.0001  
  No 9.8% (8.7–10.9) 1 (—) 1 (—) 3,369, 3,489 
  Yes 6.3% (5.1–7.6) 0.62 (0.48–0.79) 0.53 (0.41–0.69) 1,573, 1,168 
 Ever attended a sexual health (GUM) clinic  P = 0.0002 P < 0.0001  
  No 9.7% (8.7–10.8) 1 (—) 1 (—) 3,611, 3,636 
  Yes 6.0% (4.8–7.5) 0.60 (0.46–0.78) 0.53 (0.40–0.69) 1,353, 1,041 
 Ever diagnosed with a STIg  P = 0.0004 P = 0.0002  
  No (or only thrush) 9.5% (8.6–10.6) 1 (—) 1 (—) 4,080, 3,958 
  Yes (excluding thrush) 5.1% (3.7–7.1) 0.51 (0.35–0.74) 0.49 (0.33–0.71) 882, 717 
 STI risk: to self  P = 0.0377 P = 0.0200  
  Greatly at risk/quite a lot 5.5% (2.9–10.0) 1 (—) 1 (—) 130, 97 
  Not very much 7.1% (5.6–9.1) 1.33 (0.65–2.71) 1.34 (0.67–2.67) 903, 715 
  Not at all at risk 9.3% (8.3–10.3) 1.78 (0.92–3.44) 1.83 (0.97–3.48) 3958, 3900 
 All women ages 26 to 44 who have not had a hysterectomy and who provided a urine sample 10.6% (8.7–12.8)   1,474, 1,512h 
 1+ high-risk HPV type(s)  P = 0.2062 P = 0.2775  
  Negative 10.1% (8.1–12.5) 1 (—) 1 (—) 1,243, 1,329 
  Positive 13.7% (9.0–20.5) 1.42 (0.83–2.44) 1.35 (0.79–2.31) 231, 184 
Not screened versus screened in past 5 years
Not in past 5 years% (95% CI)OR (95% CI)Age-adjusted OR (95% CI)Denominator (unwt, wt)a
All ages 8.9% (8.0–9.8)   5,012, 4,731 
Sociodemographic characteristics 
 Age, years  P < 0.0001   
  26–29 14.9% (12.7–17.4) 2.28 (1.72–3.00)  1,121, 547 
  30–39 7.1% (5.9–8.7) 1 (—)  1,605, 1,312 
  40–49 6.2% (4.9–8.0) 0.86 (0.61–1.21)  1,107, 1,404 
  50–59 9.6% (7.8–11.9) 1.38 (1.01–1.90)  826, 1,058 
  60–64 13.4% (9.7–18.2) 2.01 (1.32–3.05)  353, 411 
 Relationship status at interview  P < 0.0001 P = 0.0004  
  Living with a partner 8.0% (7.0–9.1) 1 (—) 1 (—) 3,151, 3,476 
  In a steady relationship (but not living with a partner) 8.4% (6.3–11.2) 1.06 (0.75–1.50) 1.04 (0.73–1.46) 585, 373 
  Previously in a live-in partnership 11.5% (9.4–14.0) 1.50 (1.14–1.96) 1.43 (1.09–1.87) 1,015, 717 
  Not in a steady relationship (never lived with partner) 18.5% (13.1–25.4) 2.61 (1.71–3.99) 2.31 (1.49–3.57) 234, 145 
 IMD (quintiles)b  P < 0.0001 P < 0.0001  
  1–2 (least deprived) 6.3% (5.2–7.6) 1 (—) 1 (—) 1,885, 1,938 
  3 8.9% (7.1–11.2) 1.46 (1.06–2.00) 1.44 (1.05–1.98) 1,003, 943 
  4–5 (most deprived) 11.5% (10.1–13.2) 1.95 (1.52–2.50) 1.91 (1.48–2.47) 2,124, 1,850 
 Academic qualifications  P < 0.0001 P = 0.0001  
  No academic qualifications 14.1% (11.5–17.1) 2.04 (1.53–2.73) 1.95 (1.43–2.66) 751, 764 
  Academic qualifications typically gained at age 16 8.1% (6.8–9.5) 1.09 (0.84–1.42) 1.16 (0.88–1.52) 1,828, 1,730 
  Studying for/attained further academic qualifications 7.4% (6.3–8.7) 1 (—) 1 (—) 2,278, 2,102 
 Housing tenure  P < 0.0001 P < 0.0001  
  Own outright 9.6% (7.7–12.0) 1.77 (1.28–2.46) 1.34 (0.93–1.92) 868, 1,034 
  Buying with a mortgage or loanc 5.7% (4.7–6.9) 1 (—) 1 (—) 2,092, 2,118 
  Rent it 12.6% (11.0–14.3) 2.40 (1.86–3.08) 2.14 (1.65–2.78) 1,967, 1,505 
  Lives rent free 17.3% (9.4–29.8) 3.49 (1.70–7.19) 2.88 (1.44–5.77) 71, 59 
 Respondent's NS-SEC  P < 0.0001 P < 0.0001  
  Managerial & professional occupations 6.4% (5.3–7.7) 1 (—) 1 (—) 1,868, 1,810 
  Intermediate occupations 7.0% (5.5–8.8) 1.10 (0.80–1.53) 1.07 (0.77–1.49) 1,160, 1,081 
  Semiroutine/routine occupations 11.8% (10.0–13.9) 1.96 (1.49–2.59) 1.88 (1.42–2.49) 1,361, 1,249 
  No job (10+ hours/week) or not in last 10 years 14.8% (11.4–18.9) 2.54 (1.77–3.65) 2.40 (1.66–3.47) 475, 474 
  Student in full-time education 9.5% (5.1–17.1) 1.55 (0.77–3.11) 1.32 (0.67–2.62) 124, 95 
 Ethnic group  P = 0.0066 P = 0.0052  
  White 8.3% (7.4–9.2) 1 (—) 1 (—) 4,415, 4,155 
  Mixed 11.7% (5.7–22.4) 1.46 (0.68–3.17) 1.49 (0.68–3.25) 89, 72 
  Asian/Asian British 15.1% (10.9–20.6) 1.97 (1.32–2.93) 1.96 (1.32–2.90) 254, 256 
  Black/Black British 11.8% (6.8–19.6) 1.48 (0.81–2.71) 1.62 (0.88–2.97) 174, 176 
  Other 12.5% (6.5–22.7) 1.58 (0.78–3.24) 1.52 (0.73–3.16) 69, 63 
 Religion  P = 0.0076 P = 0.0049  
  None 9.4% (8.2–10.9) 1 (—) 1 (—) 2,330, 2,052 
  Christian—Church of England/Anglican 6.3% (4.8–8.4) 0.65 (0.46–0.92) 0.60 (0.42–0.86) 832, 906 
  Christian—Roman Catholic 7.9% (5.9–10.6) 0.83 (0.58–1.19) 0.80 (0.55–1.16) 582, 558 
  Christian—other 9.2% (7.2–11.7) 0.97 (0.72–1.32) 0.93 (0.68–1.28) 930, 903 
  Muslim 13.9% (8.8–21.1) 1.55 (0.91–2.63) 1.50 (0.88–2.56) 160, 152 
  Hindu 19.6% (11.2–32.1) 2.34 (1.20–4.57) 2.21 (1.13–4.32) 68, 57 
  Other 8.6% (3.8–18.5) 0.91 (0.38–2.18) 0.91 (0.40–2.08) 102, 94 
 Sexual identity  P = 0.0271 P = 0.0234  
  Heterosexual/straight 8.7% (7.9–9.7) 1 (—) 1 (—) 4,849, 4,599 
  Gay/lesbian 20.9% (11.1–35.7) 2.76 (1.31–5.78) 2.94 (1.36–6.38) 63, 56 
  Bisexual 8.3% (3.9–16.5) 0.94 (0.43–2.05) 0.93 (0.44–1.98) 75, 53 
Health behaviors 
 Smoking status  P < 0.0001 P < 0.0001  
  Non/ex-smoker 7.5% (6.6–8.5) 1 (—) 1 (—) 3,700, 3,646 
  Current smoker 13.5% (11.5–15.7) 1.92 (1.54–2.40) 1.97 (1.57–2.47) 1,312, 1,085 
 Frequency of binge drinkingd  P = 0.0277 P = 0.0473  
  Never/less than monthly 9.5% (8.5–10.6) 1 (—) 1 (—) 3,769, 3,636 
  Monthly 6.7% (5.0–9.0) 0.69 (0.49–0.96) 0.69 (0.49–0.97) 664, 568 
  Weekly or more often 7.1% (5.3–9.4) 0.73 (0.52–1.02) 0.77 (0.55–1.09) 578, 527 
Sexual behaviors 
 Age at first heterosexual sex (years)  P = 0.3000 P = 0.5485  
  18+ 9.7% (8.3–11.2) 1 (—) 1 (—) 1,971, 2,033 
  16/17 8.2% (6.9–9.7) 0.83 (0.65–1.06) 0.89 (0.69–1.14) 1,943, 1,825 
  <16 8.4% (6.7–10.5) 0.86 (0.64–1.15) 0.87 (0.64–1.18) 1,040, 812 
 Number of sexual partners, lifetimee  P = 0.0612 P = 0.2391  
  1 11.4% (9.3–13.9) 1 (—) 1 (—) 832, 923 
  2 9.4% (7.0–12.4) 0.80 (0.54–1.19) 0.81 (0.55–1.21) 468, 478 
  3–4 8.5% (6.8–10.6) 0.72 (0.51–1.02) 0.77 (0.54–1.09) 920, 890 
  5–9 8.0% (6.5–9.9) 0.68 (0.49–0.94) 0.74 (0.54–1.03) 1,338, 1,246 
  10+ 7.5% (6.0–9.3) 0.63 (0.45–0.87) 0.68 (0.48–0.96) 1,367, 1,105 
 Number of sexual partners, past 5 yearse  P < 0.0001 P < 0.0001  
  0 19.3% (15.0–24.5) 2.72 (1.94–3.82) 2.45 (1.67–3.61) 358, 342 
  1 8.1% (7.1–9.2) 1 (—) 1 (—) 3,133, 3,311 
  2 8.2% (6.1–10.9) 1.02 (0.72–1.45) 0.94 (0.66–1.34) 625, 471 
  3–4 7.1% (5.1–9.8) 0.87 (0.60–1.25) 0.73 (0.50–1.05) 489, 328 
  5+ 8.2% (5.6–12.0) 1.02 (0.66–1.58) 0.77 (0.49–1.22) 349, 216 
 Number of sexual partners without a condom, past yeare  P < 0.0001 P < 0.0001  
  0 14.1% (12.0–16.6) 1 (—) 1 (—) 1,263, 1,136 
  1 7.1% (6.2–8.1) 0.46 (0.37–0.59) 0.48 (0.38–0.62) 3,420, 3,358 
  2+ 8.2% (5.0–12.9) 0.54 (0.31–0.93) 0.50 (0.28–0.89) 259, 163 
Health-related factors 
 Used hormonal contraceptionf, past year  P = 0.0001 P < 0.0001  
  No 9.8% (8.7–10.9) 1 (—) 1 (—) 3,369, 3,489 
  Yes 6.3% (5.1–7.6) 0.62 (0.48–0.79) 0.53 (0.41–0.69) 1,573, 1,168 
 Ever attended a sexual health (GUM) clinic  P = 0.0002 P < 0.0001  
  No 9.7% (8.7–10.8) 1 (—) 1 (—) 3,611, 3,636 
  Yes 6.0% (4.8–7.5) 0.60 (0.46–0.78) 0.53 (0.40–0.69) 1,353, 1,041 
 Ever diagnosed with a STIg  P = 0.0004 P = 0.0002  
  No (or only thrush) 9.5% (8.6–10.6) 1 (—) 1 (—) 4,080, 3,958 
  Yes (excluding thrush) 5.1% (3.7–7.1) 0.51 (0.35–0.74) 0.49 (0.33–0.71) 882, 717 
 STI risk: to self  P = 0.0377 P = 0.0200  
  Greatly at risk/quite a lot 5.5% (2.9–10.0) 1 (—) 1 (—) 130, 97 
  Not very much 7.1% (5.6–9.1) 1.33 (0.65–2.71) 1.34 (0.67–2.67) 903, 715 
  Not at all at risk 9.3% (8.3–10.3) 1.78 (0.92–3.44) 1.83 (0.97–3.48) 3958, 3900 
 All women ages 26 to 44 who have not had a hysterectomy and who provided a urine sample 10.6% (8.7–12.8)   1,474, 1,512h 
 1+ high-risk HPV type(s)  P = 0.2062 P = 0.2775  
  Negative 10.1% (8.1–12.5) 1 (—) 1 (—) 1,243, 1,329 
  Positive 13.7% (9.0–20.5) 1.42 (0.83–2.44) 1.35 (0.79–2.31) 231, 184 

aParticipants who have not had a hysterectomy and who reported at least 1 lifetime sexual partner (unweighted, weighted).

bIMD is a multidimensional measure of area (neighborhood)-level deprivation based on the participant's postcode. IMD scores for England, Scotland, and Wales were adjusted before being combined and assigned to quintiles, using a method by Payne and Abel (20).

cIncludes 46 women paying part mortgage and part rent (shared ownership).

dBinge drinking defined as having six units on one occasion.

eIncludes both opposite-sex and same-sex partners.

fDefined as having used the oral contraceptive pill, hormonal IUD, injections, or implants.

gDefined as having been diagnosed with one of chlamydia, gonorrhea, syphilis, genital herpes, genital warts, trichomonas, nonspecific urethritis/non-gonococcal urethritis.

hParticipants ages 26 to 44 years who have not had a hysterectomy, who reported at least 1 lifetime sexual partner and who provided a urine sample.

There were two distinct groups of nonattending women (Table 3). Overall, a quarter of nonattenders reported only 1 lifetime partner. A high proportion of these women were of Asian/Asian British ethnicity (25.5%, 17.2%–36.1%), few smoked (20.3%, 12.6%–31.1%), less than 1% reported first heterosexual intercourse before 16 years, and 20.3% (12.6%–31.1%) reported no sexual partner in the past 5 years. Prevalence of HR-HPV in those providing a urine sample was 5.2% (1.4%–17.2%). In contrast, among the three quarters of nonattenders reporting 2 or more lifetime partners, 89.6% (85.3%–92.7%) were of White ethnicity, 39.8% (34.4%–45.4%) were smokers, and 21.7% (17.3%–26.8%) reported first heterosexual intercourse before 16 years. However, a similar proportion reported no partner in the past 5 years (14.5%, 10.6%–19.4%). Prevalence of HR-HPV in nonattenders providing a urine sample with 2 or more lifetime partners was 20.3% (12.9%–30.5%). This was nonsignificantly higher than the prevalence in attenders with 2 or more lifetime partners (13.3%, 11.3%–15.7%; P = 0.079).

Table 3.

Key characteristics of women who have not attended for cervical screening in the past 5 years, by number of lifetime partners

Not attended for screening in past 5 years
All not attended (100%)1 lifetime partnera (25%)2+ lifetime partnersa (75%)
% (95% CI)% (95% CI)% (95% CI)
Denominator (unweighted, weighted) 496, 420 111, 105 385, 314 
Age, years 
  26–29 19.4% (16.3–22.9) 18.4% (12.6–26.0) 19.8% (16.3–23.8) 
  30–39 22.3% (18.5–26.7) 26.5% (18.3–36.6) 21.0% (16.8–25.9) 
  40–49 20.8% (16.6–25.8) 14.3% (7.2–26.3) 23.0% (18.2–28.7) 
  50–59 24.3% (19.9–29.3) 20.3% (12.4–31.5) 25.6% (20.5–31.5) 
  60–64 13.1% (9.6–17.6) 20.6% (12.5–31.9) 10.6% (7.1–15.5) 
 IMD (quintiles)b  P = 0.4394c  
  1–2 (least deprived) 29.1% (24.4–34.2) 28.8% (20.3–39.2) 29.1% (23.8–35.1) 
  3 20.0% (16.0–24.7) 15.7% (10.0–23.9) 21.5% (16.7–27.2) 
  4–5 (most deprived) 50.9% (45.7–56.1) 55.5% (44.9–65.6) 49.4% (43.4–55.4) 
 Academic qualifications  P = 0.1289c  
  No academic qualifications 26.7% (22.1–31.8) 34.7% (24.2–46.9) 24.1% (19.4–29.7) 
  Academic qualifications typically gained at age 16 34.6% (29.6–39.9) 26.4% (17.4–38.0) 37.2% (31.5–43.2) 
  Studying for/attained further academic qualifications 38.7% (33.6–44.1) 38.9% (28.4–50.6) 38.7% (32.9–44.8) 
 Ethnic group  P < 0.0001c  
  White 82.0% (77.5–85.8) 59.3% (47.9–69.8) 89.6% (85.3–92.7) 
  Mixed 2.0% (1.0–4.1) 1.4% (0.3–5.8) 2.2% (1.0–4.9) 
  Asian/Asian British 9.2% (6.5–12.8) 25.5% (17.2–36.1) 3.7% (2.1–6.6) 
  Black/Black British 4.9% (2.8–8.5) 9.4% (3.8–21.2) 3.5% (1.7–6.9) 
  Other 1.9% (1.0–3.5) 4.5% (1.9–9.9) 1.0% (0.4–2.7) 
 Smoking status  P = 0.0022c  
  Non/ex-smoker 65.1% (60.2–69.7) 79.7% (68.9–87.4) 60.2% (54.6–65.6) 
  Current smoker 34.9% (30.3–39.8) 20.3% (12.6–31.1) 39.8% (34.4–45.4) 
 Age at first heterosexual sex (years)  P < 0.0001c  
  18+ 47.4% (42.4–52.6) 81.6% (71.3–88.8) 36.1% (30.6–41.9) 
  16/17 36.1% (31.2–41.2) 17.5% (10.4–27.9) 42.3% (36.5–48.3) 
  <16 16.5% (13.1–20.5) 0.9% (0.3–2.9) 21.7% (17.3–26.8) 
 Sexual partner, past 5 yearsa  P = 0.2239c  
  No 15.9% (12.2–20.3) 20.3% (12.5–31.4) 14.4% (10.6–19.2) 
  Yes 84.1% (79.7–87.8) 79.7% (68.6–87.5) 85.6% (80.8–89.4) 
Denominator (unwt, wt)d 148, 160 31, 47 117, 112 
 1+ high-risk HPV type(s)  P = 0.0216c  
  Negative 84.2% (76.2–89.8) 94.8% (82.8–98.6) 79.7% (69.5–87.1) 
  Positive 15.8% (10.2–23.8) 5.2% (1.4–17.2) 20.3% (12.9–30.5) 
Not attended for screening in past 5 years
All not attended (100%)1 lifetime partnera (25%)2+ lifetime partnersa (75%)
% (95% CI)% (95% CI)% (95% CI)
Denominator (unweighted, weighted) 496, 420 111, 105 385, 314 
Age, years 
  26–29 19.4% (16.3–22.9) 18.4% (12.6–26.0) 19.8% (16.3–23.8) 
  30–39 22.3% (18.5–26.7) 26.5% (18.3–36.6) 21.0% (16.8–25.9) 
  40–49 20.8% (16.6–25.8) 14.3% (7.2–26.3) 23.0% (18.2–28.7) 
  50–59 24.3% (19.9–29.3) 20.3% (12.4–31.5) 25.6% (20.5–31.5) 
  60–64 13.1% (9.6–17.6) 20.6% (12.5–31.9) 10.6% (7.1–15.5) 
 IMD (quintiles)b  P = 0.4394c  
  1–2 (least deprived) 29.1% (24.4–34.2) 28.8% (20.3–39.2) 29.1% (23.8–35.1) 
  3 20.0% (16.0–24.7) 15.7% (10.0–23.9) 21.5% (16.7–27.2) 
  4–5 (most deprived) 50.9% (45.7–56.1) 55.5% (44.9–65.6) 49.4% (43.4–55.4) 
 Academic qualifications  P = 0.1289c  
  No academic qualifications 26.7% (22.1–31.8) 34.7% (24.2–46.9) 24.1% (19.4–29.7) 
  Academic qualifications typically gained at age 16 34.6% (29.6–39.9) 26.4% (17.4–38.0) 37.2% (31.5–43.2) 
  Studying for/attained further academic qualifications 38.7% (33.6–44.1) 38.9% (28.4–50.6) 38.7% (32.9–44.8) 
 Ethnic group  P < 0.0001c  
  White 82.0% (77.5–85.8) 59.3% (47.9–69.8) 89.6% (85.3–92.7) 
  Mixed 2.0% (1.0–4.1) 1.4% (0.3–5.8) 2.2% (1.0–4.9) 
  Asian/Asian British 9.2% (6.5–12.8) 25.5% (17.2–36.1) 3.7% (2.1–6.6) 
  Black/Black British 4.9% (2.8–8.5) 9.4% (3.8–21.2) 3.5% (1.7–6.9) 
  Other 1.9% (1.0–3.5) 4.5% (1.9–9.9) 1.0% (0.4–2.7) 
 Smoking status  P = 0.0022c  
  Non/ex-smoker 65.1% (60.2–69.7) 79.7% (68.9–87.4) 60.2% (54.6–65.6) 
  Current smoker 34.9% (30.3–39.8) 20.3% (12.6–31.1) 39.8% (34.4–45.4) 
 Age at first heterosexual sex (years)  P < 0.0001c  
  18+ 47.4% (42.4–52.6) 81.6% (71.3–88.8) 36.1% (30.6–41.9) 
  16/17 36.1% (31.2–41.2) 17.5% (10.4–27.9) 42.3% (36.5–48.3) 
  <16 16.5% (13.1–20.5) 0.9% (0.3–2.9) 21.7% (17.3–26.8) 
 Sexual partner, past 5 yearsa  P = 0.2239c  
  No 15.9% (12.2–20.3) 20.3% (12.5–31.4) 14.4% (10.6–19.2) 
  Yes 84.1% (79.7–87.8) 79.7% (68.6–87.5) 85.6% (80.8–89.4) 
Denominator (unwt, wt)d 148, 160 31, 47 117, 112 
 1+ high-risk HPV type(s)  P = 0.0216c  
  Negative 84.2% (76.2–89.8) 94.8% (82.8–98.6) 79.7% (69.5–87.1) 
  Positive 15.8% (10.2–23.8) 5.2% (1.4–17.2) 20.3% (12.9–30.5) 

aIncludes both opposite-sex and same-sex partners.

bIMD is a multidimensional measure of area (neighborhood)-level deprivation based on the participant's postcode. IMD scores for England, Scotland, and Wales were adjusted before being combined and assigned to quintiles, using a method by Payne and Abel (20).

cP values for comparison between nonattenders with 1 and 2+ lifetime partners.

dNonattenders ages 26 to 44 years who provided a urine sample.

We looked at the reported recent use of healthcare services among nonattenders. Overall, 6.1% (4.3%–8.5%) of nonattenders had been to a sexual health (GUM) clinic in the past 5 years, 14.3% (11.2%–18.0%) had attended an ante-natal clinic in the past 5 years, and 19.2% (15.8%–23.1%) had obtained family planning from a clinical source in the past year. In total, 31.7% (27.1%–36.7%) of nonattending women had used one or more of these services. Use of healthcare services did not vary by lifetime partners.

HPV vaccine uptake

HPV catch-up vaccine uptake varied substantially by school year at eligibility (Fig. 1B) with 72.9% of women eligible at 14 years reporting having received all 3 doses, compared with only 50.6% of women eligible at 17 years. In contrast, 89.0% of women in the routine program reported having received all 3 doses (but denominators are small). Few women had received only one or two doses. The proportion of women who reported not having been offered the vaccine was higher in the older catch-up cohorts.

Of women eligible for the HPV catch-up immunization program, 38.5% reported not having completed the vaccination course. This was strongly associated with markers of lower socioeconomic status (Table 4), non-white ethnicity (AOR 2.01; 1.29–3.13), and smoking (AOR 2.61; 1.93–3.55). Noncompletion was also associated with reporting larger numbers of lifetime partners (AOR 1.70; 1.09–2.63 for 5+ vs. 1 lifetime partner). Among those with at least one lifetime partner, noncompletion was higher in women reporting first heterosexual intercourse before 16 (AOR 1.68; 1.22–2.30) and unprotected sex with two or more partners in the past year (AOR 1.81; 1.15–2.84). Those using hormonal contraception were less likely to be noncompleters (AOR 0.47; 0.34–0.67), whereas those attending sexual health (GUM) clinics (AOR 1.49; 1.10–2.02) and ever having been pregnant (AOR 2.94; 2.04–4.23) were more likely to report noncompletion. Noncompletion was higher in women who were HR-HPV positive (AOR 2.33; 1.45–3.74).

Table 4.

Factors associated with noncompletion of HPV catch-up vaccination

Not completed versus completed
Not completed% (95% CI)OR (95% CI)Age-adjusted OR (95% CI)Denominator (unwt, wt)
All eligible for HPV catch-up vaccination program 38.5% (35.3–41.9)   1,050, 562 
Socio-demographic factors 
 Age at interview (years)  P < 0.0001   
  16–17 28.0% (23.2–33.4) 1 (—)  394, 195 
  18–19 41.7% (36.7–47.0) 1.84 (1.33–2.56)  449, 241 
  20–21 48.7% (41.3–56.1) 2.44 (1.64–3.63)  207, 125 
 School year at eligibility for HPV vaccination program  P < 0.0001 P = 0.0060  
  14 (Y10/S3) 27.1% (20.1–35.3) 1 (—) 1 (—) 153, 78 
  15 (Y11/S4) 26.8% (21.1–33.3) 0.99 (0.61–1.59) 1.01 (0.62–1.65) 244, 123 
  16 (Y12/S5) 35.8% (29.5–42.6) 1.50 (0.94–2.39) 1.57 (0.90–2.74) 238, 117 
  17 (Y13/S6 or post school) 49.4% (44.1–54.8) 2.64 (1.69–4.10) 2.87 (1.39–5.95) 415, 243 
 Grouped government office region  P < 0.0001 P < 0.0001  
  Rest of England 36.4% (32.7–40.2) 1 (—) 1 (—) 803, 421 
  London 62.4% (52.3–71.5) 2.90 (1.87–4.50) 2.76 (1.77–4.30) 100, 66 
  Scotland 19.8% (13.1–28.8) 0.43 (0.26–0.72) 0.41 (0.24–0.70) 89, 46 
  Wales 44.4% (31.0–58.6) 1.40 (0.78–2.48) 1.31 (0.74–2.35) 58, 29 
 IMD (quintiles)a  P < 0.0001 P = 0.0001  
  1–2 (least deprived) 30.1% (25.3–35.4) 1 (—) 1 (—) 393, 210 
  3 36.7% (29.4–44.7) 1.34 (0.90–2.01) 1.35 (0.90–2.04) 209, 116 
  4–5 (most deprived) 46.9% (42.0–51.9) 2.05 (1.50–2.81) 1.99 (1.44–2.74) 448, 236 
 Parents' social class  P = 0.0308 P = 0.0285  
  I/II/III 35.1% (31.2–39.2) 1 (—) 1 (—) 714, 385 
  IV/V 44.9% (37.0–53.1) 1.51 (1.04–2.19) 1.52 (1.05–2.21) 196, 103 
 Academic qualificationsb  P < 0.0001 P < 0.0001  
  No academic qualifications 75.2% (55.9–87.9) 6.04 (2.63–13.85) 5.84 (2.50–13.62) 39, 18 
  Academic qualifications typically gained at age 16 57.2% (49.3–64.7) 2.66 (1.85–3.83) 2.52 (1.75–3.65) 188, 92 
  Studying for/attained further academic qualifications 33.4% (29.5–37.6) 1 (—) 1 (—) 650, 361 
 Ethnic group  P = 0.0015 P = 0.0001  
  White 36.3% (32.9–39.7) 1 (—) 1 (—) 937, 491 
  Non-white 54.1% (43.5–64.5) 2.07 (1.32–3.25) 2.01 (1.29–3.13) 113, 71 
Health behaviors 
 Smoking status  P < 0.0001 P < 0.0001  
  Non/ex-smoker 31.8% (28.3–35.7) 1 (—) 1 (—) 737, 400 
  Current smoker 55.0% (48.9–61.0) 2.62 (1.95–3.53) 2.61 (1.93–3.55) 313, 162 
 Frequency of binge drinkingc  P = 0.0665 P = 0.1886  
  Never/less than monthly 36.8% (32.9–41.0) 1 (—) 1 (—) 712, 376 
  Monthly 36.9% (30.0–44.5) 1.00 (0.71–1.43) 0.90 (0.62–1.30) 200, 107 
  Weekly or more often 48.4% (39.4–57.6) 1.61 (1.07–2.42) 1.41 (0.92–2.15) 137, 78 
Sexual behaviors (all eligible for catch-up vaccination) 
 Number of sexual partners, lifetimed  P < 0.0001 P = 0.0107  
  0 24.5% (18.4–31.7) 0.62 (0.38–1.01) 0.72 (0.43–1.18) 205, 109 
  1 34.4% (27.1–42.5) 1 (—) 1 (—) 203, 113 
  2 37.6% (29.1–46.8) 1.15 (0.69–1.89) 1.12 (0.68–1.84) 147, 77 
  3–4 39.6% (31.6–48.2) 1.25 (0.77–2.03) 1.22 (0.75–2.00) 171, 93 
  5+ 49.9% (43.6–56.1) 1.89 (1.23–2.91) 1.70 (1.09–2.63) 317, 167 
All eligible for HPV catch-up vaccination program with 1+ lifetime partnerd 41.9% (38.3–45.6)   843, 451 
Sexual behaviors (those with 1+ lifetime partner) 
 Had heterosexual sex before 16  P = 0.0088 P = 0.0014  
  No 37.5% (32.7–42.6) 1 (—) 1 (—) 456, 252 
  Yes 47.7% (42.0–53.4) 1.52 (1.11–2.07) 1.68 (1.22–2.30) 355, 181 
 Number of sexual partners, past yeard  P = 0.3294 P = 0.2689  
  0/1 39.7% (35.0–44.6) 1 (—) 1 (—) 475, 260 
  2 44.8% (36.2–53.6) 1.23 (0.82–1.84) 1.28 (0.85–1.93) 156, 78 
  3+ 45.7% (38.2–53.3) 1.28 (0.89–1.84) 1.30 (0.90–1.88) 203, 108 
 Number of sexual partners without a condom, past yeard  P = 0.0092 P = 0.0065  
  0 38.8% (31.0–47.2) 1 (—) 1 (—) 196, 106 
  1 39.6% (34.7–44.7) 1.03 (0.68–1.56) 1.03 (0.69–1.55) 443, 238 
  2+ 53.1% (45.1–60.9) 1.79 (1.13–2.83) 1.83 (1.16–2.88) 185, 98 
Health-related factors 
 Used hormonal contraception, past yeare  P < 0.0001 P < 0.0001  
  No 54.3% (47.1–61.4) 1 (—) 1 (—) 235, 131 
  Yes 36.4% (32.4–40.7) 0.48 (0.34–0.68) 0.47 (0.34–0.67) 570, 299 
 Ever attended a sexual health (GUM) clinic  P = 0.0044 P = 0.0100  
  No 37.2% (32.6–42.1) 1 (—) 1 (—) 462, 251 
  Yes 47.8% (42.3–53.3) 1.54 (1.15–2.08) 1.49 (1.10–2.02) 377, 199 
 Ever diagnosed with an STI (excluding thrush)f  P = 0.1735 P = 0.4147  
  No (or only thrush) 41.0% (37.1–45.0) 1 (—) 1 (—) 730, 395 
  Yes 48.5% (38.3–58.8) 1.36 (0.87–2.10) 1.20 (0.77–1.88) 109, 55 
 Ever been pregnant  P < 0.0001 P < 0.0001  
  No 35.4% (31.4–39.8) 1 (—) 1 (—) 633, 346 
  Yes 63.4% (55.9–70.2) 3.15 (2.21–4.49) 2.94 (2.04–4.23) 210, 105 
All eligible for HPV catch-up vaccination program with 1+ lifetime partnerdwho provided a urine sample 41.0% (36.1–46.1)   481, 273 
HPV markers in urine 
 Any HPV type(s)  P = 0.0302 P = 0.0383  
  HPV negative 36.0% (29.3–43.2) 1 (—) 1 (—) 253, 152 
  HPV positive 47.2% (40.0–54.6) 1.60 (1.04–2.44) 1.57 (1.02–2.40) 228, 121 
 1+ high-risk HPV type(s)  P = 0.0003 P = 0.0005  
  Negative 35.3% (29.6–41.4) 1 (—) 1 (—) 347, 200 
  Positive 56.6% (46.8–65.9) 2.39 (1.49–3.83) 2.33 (1.45–3.74) 134, 73 
Not completed versus completed
Not completed% (95% CI)OR (95% CI)Age-adjusted OR (95% CI)Denominator (unwt, wt)
All eligible for HPV catch-up vaccination program 38.5% (35.3–41.9)   1,050, 562 
Socio-demographic factors 
 Age at interview (years)  P < 0.0001   
  16–17 28.0% (23.2–33.4) 1 (—)  394, 195 
  18–19 41.7% (36.7–47.0) 1.84 (1.33–2.56)  449, 241 
  20–21 48.7% (41.3–56.1) 2.44 (1.64–3.63)  207, 125 
 School year at eligibility for HPV vaccination program  P < 0.0001 P = 0.0060  
  14 (Y10/S3) 27.1% (20.1–35.3) 1 (—) 1 (—) 153, 78 
  15 (Y11/S4) 26.8% (21.1–33.3) 0.99 (0.61–1.59) 1.01 (0.62–1.65) 244, 123 
  16 (Y12/S5) 35.8% (29.5–42.6) 1.50 (0.94–2.39) 1.57 (0.90–2.74) 238, 117 
  17 (Y13/S6 or post school) 49.4% (44.1–54.8) 2.64 (1.69–4.10) 2.87 (1.39–5.95) 415, 243 
 Grouped government office region  P < 0.0001 P < 0.0001  
  Rest of England 36.4% (32.7–40.2) 1 (—) 1 (—) 803, 421 
  London 62.4% (52.3–71.5) 2.90 (1.87–4.50) 2.76 (1.77–4.30) 100, 66 
  Scotland 19.8% (13.1–28.8) 0.43 (0.26–0.72) 0.41 (0.24–0.70) 89, 46 
  Wales 44.4% (31.0–58.6) 1.40 (0.78–2.48) 1.31 (0.74–2.35) 58, 29 
 IMD (quintiles)a  P < 0.0001 P = 0.0001  
  1–2 (least deprived) 30.1% (25.3–35.4) 1 (—) 1 (—) 393, 210 
  3 36.7% (29.4–44.7) 1.34 (0.90–2.01) 1.35 (0.90–2.04) 209, 116 
  4–5 (most deprived) 46.9% (42.0–51.9) 2.05 (1.50–2.81) 1.99 (1.44–2.74) 448, 236 
 Parents' social class  P = 0.0308 P = 0.0285  
  I/II/III 35.1% (31.2–39.2) 1 (—) 1 (—) 714, 385 
  IV/V 44.9% (37.0–53.1) 1.51 (1.04–2.19) 1.52 (1.05–2.21) 196, 103 
 Academic qualificationsb  P < 0.0001 P < 0.0001  
  No academic qualifications 75.2% (55.9–87.9) 6.04 (2.63–13.85) 5.84 (2.50–13.62) 39, 18 
  Academic qualifications typically gained at age 16 57.2% (49.3–64.7) 2.66 (1.85–3.83) 2.52 (1.75–3.65) 188, 92 
  Studying for/attained further academic qualifications 33.4% (29.5–37.6) 1 (—) 1 (—) 650, 361 
 Ethnic group  P = 0.0015 P = 0.0001  
  White 36.3% (32.9–39.7) 1 (—) 1 (—) 937, 491 
  Non-white 54.1% (43.5–64.5) 2.07 (1.32–3.25) 2.01 (1.29–3.13) 113, 71 
Health behaviors 
 Smoking status  P < 0.0001 P < 0.0001  
  Non/ex-smoker 31.8% (28.3–35.7) 1 (—) 1 (—) 737, 400 
  Current smoker 55.0% (48.9–61.0) 2.62 (1.95–3.53) 2.61 (1.93–3.55) 313, 162 
 Frequency of binge drinkingc  P = 0.0665 P = 0.1886  
  Never/less than monthly 36.8% (32.9–41.0) 1 (—) 1 (—) 712, 376 
  Monthly 36.9% (30.0–44.5) 1.00 (0.71–1.43) 0.90 (0.62–1.30) 200, 107 
  Weekly or more often 48.4% (39.4–57.6) 1.61 (1.07–2.42) 1.41 (0.92–2.15) 137, 78 
Sexual behaviors (all eligible for catch-up vaccination) 
 Number of sexual partners, lifetimed  P < 0.0001 P = 0.0107  
  0 24.5% (18.4–31.7) 0.62 (0.38–1.01) 0.72 (0.43–1.18) 205, 109 
  1 34.4% (27.1–42.5) 1 (—) 1 (—) 203, 113 
  2 37.6% (29.1–46.8) 1.15 (0.69–1.89) 1.12 (0.68–1.84) 147, 77 
  3–4 39.6% (31.6–48.2) 1.25 (0.77–2.03) 1.22 (0.75–2.00) 171, 93 
  5+ 49.9% (43.6–56.1) 1.89 (1.23–2.91) 1.70 (1.09–2.63) 317, 167 
All eligible for HPV catch-up vaccination program with 1+ lifetime partnerd 41.9% (38.3–45.6)   843, 451 
Sexual behaviors (those with 1+ lifetime partner) 
 Had heterosexual sex before 16  P = 0.0088 P = 0.0014  
  No 37.5% (32.7–42.6) 1 (—) 1 (—) 456, 252 
  Yes 47.7% (42.0–53.4) 1.52 (1.11–2.07) 1.68 (1.22–2.30) 355, 181 
 Number of sexual partners, past yeard  P = 0.3294 P = 0.2689  
  0/1 39.7% (35.0–44.6) 1 (—) 1 (—) 475, 260 
  2 44.8% (36.2–53.6) 1.23 (0.82–1.84) 1.28 (0.85–1.93) 156, 78 
  3+ 45.7% (38.2–53.3) 1.28 (0.89–1.84) 1.30 (0.90–1.88) 203, 108 
 Number of sexual partners without a condom, past yeard  P = 0.0092 P = 0.0065  
  0 38.8% (31.0–47.2) 1 (—) 1 (—) 196, 106 
  1 39.6% (34.7–44.7) 1.03 (0.68–1.56) 1.03 (0.69–1.55) 443, 238 
  2+ 53.1% (45.1–60.9) 1.79 (1.13–2.83) 1.83 (1.16–2.88) 185, 98 
Health-related factors 
 Used hormonal contraception, past yeare  P < 0.0001 P < 0.0001  
  No 54.3% (47.1–61.4) 1 (—) 1 (—) 235, 131 
  Yes 36.4% (32.4–40.7) 0.48 (0.34–0.68) 0.47 (0.34–0.67) 570, 299 
 Ever attended a sexual health (GUM) clinic  P = 0.0044 P = 0.0100  
  No 37.2% (32.6–42.1) 1 (—) 1 (—) 462, 251 
  Yes 47.8% (42.3–53.3) 1.54 (1.15–2.08) 1.49 (1.10–2.02) 377, 199 
 Ever diagnosed with an STI (excluding thrush)f  P = 0.1735 P = 0.4147  
  No (or only thrush) 41.0% (37.1–45.0) 1 (—) 1 (—) 730, 395 
  Yes 48.5% (38.3–58.8) 1.36 (0.87–2.10) 1.20 (0.77–1.88) 109, 55 
 Ever been pregnant  P < 0.0001 P < 0.0001  
  No 35.4% (31.4–39.8) 1 (—) 1 (—) 633, 346 
  Yes 63.4% (55.9–70.2) 3.15 (2.21–4.49) 2.94 (2.04–4.23) 210, 105 
All eligible for HPV catch-up vaccination program with 1+ lifetime partnerdwho provided a urine sample 41.0% (36.1–46.1)   481, 273 
HPV markers in urine 
 Any HPV type(s)  P = 0.0302 P = 0.0383  
  HPV negative 36.0% (29.3–43.2) 1 (—) 1 (—) 253, 152 
  HPV positive 47.2% (40.0–54.6) 1.60 (1.04–2.44) 1.57 (1.02–2.40) 228, 121 
 1+ high-risk HPV type(s)  P = 0.0003 P = 0.0005  
  Negative 35.3% (29.6–41.4) 1 (—) 1 (—) 347, 200 
  Positive 56.6% (46.8–65.9) 2.39 (1.49–3.83) 2.33 (1.45–3.74) 134, 73 

aIMD is a multidimensional measure of area (neighborhood)-level deprivation based on the participant's postcode. IMD scores for England, Scotland, and Wales were adjusted before being combined and assigned to quintiles, using a method by Payne and Abel (20).

bParticipants aged ≥17 years.

cBinge drinking defined as having six units on one occasion.

dIncludes both opposite-sex and same-sex partners.

eDefined as having used the oral contraceptive pill, hormonal IUD, injections, or implants.

fDefined as having been diagnosed with one of chlamydia, gonorrhea, syphilis, genital herpes, genital warts, trichomonas, nonspecific urethritis/non-gonococcal urethritis.

Associations with having had no doses of the vaccine were similar (data not shown), although a stronger association was seen with area-level deprivation and slightly weaker associations with sexual behaviors, GUM clinic attendance, and ever having been pregnant.

Overlap between factors associated with HR-HPV infection and uptake of cervical screening and HPV vaccination

Figure 2 shows factors associated with HR-HPV infection (vertical axes) plotted against factors associated with nonattendance for cervical screening (Fig. 2A) and noncompletion of HPV vaccination (Fig. 2B). The top right hand quadrant for each figure indicates increased risk of HR-HPV infection and lower uptake of the cervical cancer prevention program. The area of the bubble represents the size of the group as a proportion of those eligible for screening. There was evidence of overlap of HR-HPV infection risk and cervical screening uptake for some factors (Fig. 2A). Living in more deprived areas and smoking were associated with both HR-HPV infection and nonattendance for cervical screening. These factors were also associated with noncompletion of HPV vaccination (Fig. 2B). Associations between smoking and HR-HPV infection, and uptake of cervical screening and HPV vaccination persisted after adjustment for area-level deprivation (data not shown). In contrast, HR-HPV prevalence was lower in women of Asian/Asian British ethnicity, another group less likely to attend for screening (Fig. 2A). Women with 5 or more lifetime partners and those who reported attending a sexual health (GUM) clinic had a higher prevalence of HR-HPV infection, and were more likely to have attended for cervical screening but less likely to have completed HPV vaccination.

Figure 2.

Relationship between risk factors for HR-HPV and uptake of cervical cancer programs: (A) cervical screening and (B) HPV catch-up vaccination. All ORs adjusted for age. 95% CIs for AORs exclude 1 with the exception of the association between hormonal contraception use and HR-HPV (see Tables 1, 2, and 4). Top right quadrant for each graph indicates increased risk of HR-HPV and lower uptake of cervical cancer prevention program. The area of the bubble represents the size of the group as a proportion of those eligible for screening. Letters indicate reference groups: (a) 1 lifetime sexual partner; (b) non/ex-smoker; (c) resident in 2 least deprived quintiles; (d) white/white British; (e) not used hormonal contraception, past year; (f) never attended a sexual health (GUM) clinic.

Figure 2.

Relationship between risk factors for HR-HPV and uptake of cervical cancer programs: (A) cervical screening and (B) HPV catch-up vaccination. All ORs adjusted for age. 95% CIs for AORs exclude 1 with the exception of the association between hormonal contraception use and HR-HPV (see Tables 1, 2, and 4). Top right quadrant for each graph indicates increased risk of HR-HPV and lower uptake of cervical cancer prevention program. The area of the bubble represents the size of the group as a proportion of those eligible for screening. Letters indicate reference groups: (a) 1 lifetime sexual partner; (b) non/ex-smoker; (c) resident in 2 least deprived quintiles; (d) white/white British; (e) not used hormonal contraception, past year; (f) never attended a sexual health (GUM) clinic.

Close modal

In this cross-sectional probability sample survey of the British general population, we found markers of lower socioeconomic status and smoking to be common risk factors for HR-HPV infection and nonuptake of both cervical screening and HPV catch-up vaccination. Overall, cervical screening attendance was not lower in women reporting more risky sexual behaviors, and there was no difference in attendance by HR-HPV status. However, our analysis suggests that there are two distinct groups of nonattenders, one of which would be considered at higher risk of developing cervical cancer due to high prevalence of other lifestyle risk factors such as smoking and early age at first sex, whose nonattendance might augment their overall risk of cervical cancer, and one of which would be considered lower risk, whose nonattendance might negate their lower lifestyle risk.

The major strength of this study is that it is a population-based survey with individual-level data from a nationally representative sample. We were able to link behavioral and biologic data and look at risk factors for different outcomes in the same survey. One limitation is the accuracy of self-reporting, especially of cervical screening (26,27). Our estimates of cervical screening uptake are higher than official figures, which estimate 5-year coverage in 2011–2012 as 78.6% (6), and one other study (28), which asked for year and month of last cervical screen. We believe that social desirability bias is unlikely to have had a substantial effect since this question was asked in the self-completion part of the questionnaire. However, “telescoping,” where an event is remembered as occurring more recently than it did, is a strong possibility both for us and other studies (27,29). Any variation in such a bias by the sociodemographic or behavioral variables that we report could mean that we have over- or underestimated associations, for example, if telescoping errors were greater among more educated women, the association between attendance and education would be overestimated. Women may also not be able to accurately report their vaccination status (30), and accurate reporting may vary by other variables. Uptake estimates may be affected by biases in the women who agreed to participate in Natsal-3. The Natsal-3 response rate was 57.7%, which is comparable with other population-based surveys completed around the same time (31,32). After weighting our data to match the British population for age, gender, and geographic region, the sample was comparable with the 2011 census data on other key demographic characteristics (18). However, women who do not attend for screening may be less likely to participate in research studies or engage more generally (33).

Another limitation is that urine is a suboptimum specimen for HPV detection (34) with recent estimates of 77% sensitivity of cervical HR-HPV (35) and therefore a likely underestimate of HR-HPV prevalence, although this would weaken, not bias, our identification of risk factors. Finally, due to the years the Natsal-3 fieldwork was carried out, our study could only focus on the catch-up program, and the factors we describe as associated with vaccination uptake in the catch-up cohorts may not be generalizable to routine vaccination at 12 years of age.

To our knowledge, no population-based studies have examined the associations between cervical screening and sexual behavior or HR-HPV infection. We found lower screening uptake among women with lower levels of education and of non-White ethnicity as in other British population studies (21,28). Other studies have shown lower uptake of HPV catch-up vaccination in women of Black/Black British and Asian/Asian British ethnicity (36, 37). Our sample of women of these ethnic minorities was too small to examine associations between vaccination and each ethnic group, but completion of catch-up vaccination was lower in women of non-White ethnicity.

It is a reasonable expectation that herd immunity should lead to a reduction in cervical cancer incidence among unvaccinated women in the catch-up vaccination cohorts (38). However, the effect of multiple risks in some groups of women has the potential to widen inequalities in cervical cancer incidence. Women who live in more deprived areas and who smoke were less likely to complete catch-up vaccination. These women were also at higher risk of HR-HPV, and their cervical cancer risk is compounded by smoking, which is itself a cofactor in cervical cancer development (39). In addition, these women were less likely to attend for cervical screening, thereby losing the opportunity for early detection and treatment of cancer abnormalities. Special efforts may be warranted to ensure women who missed vaccination are engaged by the cervical screening program, especially since girls with low intentions to attend for cervical screening may be less likely to be fully vaccinated (40). Good linkage between vaccination and screening records will be important to target those not vaccinated.

As some nonattenders for cervical screening seem to be at low risk for HR-HPV, tailored approaches may be appropriate to increase screening among higher risk women. On the other hand, there is evidence of lower uptake of cervical screening among women who may be considered at lower risk for cervical cancer or may perceive themselves to be. For example, as in other studies, we found lower uptake in women self-identifying as lesbian (41, 42). Previous studies have also found that women who are not sexually active are less likely to attend for screening (33). Cervical screening prevents approximately 75% of cervical cancers by detecting and treating cervical abnormalities in women who attend regularly (5, 43). The odds of cervical cancer are approximately six times higher in women with no adequate screens at age 50 to 64 compared with those with adequate negative screening (44) so despite being at lower relative risk for cervical cancer, by missing the prevention opportunity offered by cervical screening these women may end up at increased risk. Although they have a lower incidence of cervical cancer overall, Asian/Asian British women aged 65 and over have a higher incidence than do women of White ethnicity (45). Because these women are unlikely to access sexual health services, engaging them in screening through general practice (family doctor) is important. The cervical screening program also needs to counter this risk-based tendency for nonparticipation. This will be particularly important in the era of vaccination, where careful messaging will be needed to promote uptake of screening among those who may perceive themselves at less risk.

Overall, those at increased risk of HR-HPV were no more or less likely to attend for screening. We found markers of engagement with healthcare, such as sexual health (GUM) clinic attendance and using hormonal contraception, were associated with higher cervical screening attendance. In 2011–2012, 17% of women having a cervical screen in England had a test that was outside the invitation system of the cervical screening program, i.e., opportunistic tests which were initiated by the person taking the sample or by the woman (46). This underlines the importance of maintaining integrated sexual health services to ensure that screening levels remain high in those at highest risk. However, around 30% of women who had not attended cervical screening in the past 5 years reported attending ante-natal or sexual health (GUM) clinics in the past 5 years or obtaining contraceptives from clinical sources in the past year, suggesting missed opportunities to engage these women with cervical screening.

Changes to the cervical screening program are likely in coming years, due both to HPV immunization effects on HPV epidemiology and the use of HPV testing in screening algorithms. HPV testing has already been introduced to help manage women with borderline and mildly abnormal cytology results. A pilot of HPV testing as the primary screening test (in place of cytology) is currently under way (46). It is unclear how changes will impact cervical screening uptake.

To date, there are few data relating to HPV vaccination uptake in the routine cohorts by the variables we have explored. It will be important to study factors associated with routine HPV vaccination uptake in the same way. Uptake of cervical screening among women who have not received HPV vaccination should be studied as these women reach screening age.

As some nonattenders for cervical screening seem to be at low risk for HR-HPV, tailored approaches may be appropriate to increase screening among higher-risk women. Socioeconomic markers and smoking were associated with HR-HPV positivity, noncompletion of catch-up HPV vaccination, and nonattendance for cervical screening. This highlights the importance of general practice considering all aspects of the cervical cancer prevention pathway: vaccination, healthy lifestyle advice, and cervical screening. To avoid a potential widening of cervical cancer disparities in the catch-up age cohorts, special efforts may be warranted to ensure that those who missed catch-up HPV vaccination are engaged by the cervical screening program.

A.M Johnson is Governor at the Wellcome Trust. No potential conflicts of interest were disclosed by the other authors.

The sponsors of the study had no role in study design and the collection, analysis and interpretation of data, or writing of the report. The corresponding author had full access to all the data in the study and had final responsibility for the decision to submit for publication.

Conception and design: C. Tanton, K. Soldan, C.H. Mercer, A.J. Copas, K. Wellings, C.A. Ison, A.M. Johnson, P. Sonnenberg

Development of methodology: C. Tanton, K. Soldan, S. Beddows, C.H. Mercer, N. Field, S. Clifton, K. Wellings, C.A. Ison, A.M. Johnson, P. Sonnenberg

Acquisition of data (provided animals, acquired and managed patients, provided facilities, etc.): C. Tanton, S. Beddows, C.H. Mercer, N. Field, S. Clifton, P. Manyenga, C.A. Ison, A.M. Johnson, P. Sonnenberg

Analysis and interpretation of data (e.g., statistical analysis, biostatistics, computational analysis): C. Tanton, K. Soldan, C.H. Mercer, N. Field, S. Clifton, A.J. Copas, K. Wellings, A.M. Johnson, P. Sonnenberg

Writing, review, and/or revision of the manuscript: C. Tanton, K. Soldan, S. Beddows, C.H. Mercer, J. Waller, N. Field, S. Clifton, A.J. Copas, K. Wellings, C.A. Ison, A.M. Johnson, P. Sonnenberg

Administrative, technical, or material support (i.e., reporting or organizing data, constructing databases): C.H. Mercer, S. Clifton, K. Panwar, F. da Silva

Study supervision: C.H. Mercer, C.A. Ison, A.M. Johnson, P. Sonnenberg

Other (PI on Natsal grant): A.M. Johnson

The authors thank the study participants, the team of interviewers from NatCen Social Research, and operations and computing staff from NatCen Social Research; Chinelo Obi, Rebecca Howell-Jones, David Mesher, Heather Northend, Krishna Gupta, and Tracey Cairns (Department of HIV and Sexually Transmitted Infections, Public Health England) for data linkage, anonymization, and data entry; laboratory staff for their contributions to development of protocols and testing: Natasha de Silva and Mohammed-Abbas Fazal (Virus Reference Department, Public Health England); and Laura Marlow (Research Department of Epidemiology and Public Health, University College London) for help designing questions on cervical screening and HPV vaccination.

Natsal-3 is a collaboration between University College London (London, UK), the London School of Hygiene and Tropical Medicine (London, UK), NatCen Social Research, Public Health England (formerly the Health Protection Agency), and the University of Manchester (Manchester, UK).

The study was supported by grants (to A.M. Johnson) from the Medical Research Council (G0701757) and the Wellcome Trust (084840), with contributions from the Economic and Social Research Council and Department of Health. N. Field is supported by a National Institute for Health Research Academic Clinical Lectureship.

The costs of publication of this article were defrayed in part by the payment of page charges. This article must therefore be hereby marked advertisement in accordance with 18 U.S.C. Section 1734 solely to indicate this fact.

1.
Bosch
FX
,
de Sanjosé
S
. 
Human papillomavirus in cervical cancer
.
Curr Oncol Rep
2002
;
4
:
175
83
.
2.
Cancer Research UK
. 
Cervical cancer incidence statistics [Internet]
.
London
:
Cancer Research UK
; 
2011
.
Available from
: http://www.cancerresearchuk.org/cancer-info/cancerstats/types/cervix/incidence/
3.
Cancer Research UK
. 
Cervical cancer key stats [Internet]
.
London
:
Cancer Research UK
; 
2011
.
Available from
: http://www.cancerresearchuk.org/cancer-info/cancerstats/keyfacts/cervical-cancer/uk-cervical-cancer-statistics
4.
International Agency for Research on Cancer
. 
Globocan 2012: estimated cancer incidence, mortality and prevalence worldwide in 2012 [Internet]
.
Lyon
:
International Agency for Research on Cancer
; 
2012
.
Available from
: http://globocan.iarc.fr/Pages/fact_sheets_cancer.aspx
5.
Peto
J
,
Gilham
C
,
Fletcher
O
,
Matthews
FE
. 
The cervical cancer epidemic that screening has prevented in the UK
.
The Lancet
2004
;
364
:
249
56
.
6.
Health and Social Care Information Centre, Screening and Immunisations team
. 
Cervical Screening Programme, England 2011–12 [Internet]
.
The Health and Social Care Information Centre
; 
2012
.
Available from
: http://www.cancerscreening.nhs.uk/cervical/cervical-statistics-bulletin-2011--12.pdf
7.
Shack
L
,
Jordan
C
,
Thomson
CS
,
Mak
V
,
Møller
H.
UK Association of Cancer Registries
. 
Variation in incidence of breast, lung and cervical cancer and malignant melanoma of skin by socioeconomic group in England
.
BMC Cancer
2008
;
8
:
271
.
8.
Currin
LG
,
Jack
RH
,
Linklater
KM
,
Mak
V
,
Møller
H
,
Davies
EA
. 
Inequalities in the incidence of cervical cancer in South East England 2001–2005: an investigation of population risk factors
.
BMC Public Health
2009
;
9
:
62
.
9.
Department of Health
. 
Cancer reform strategy
.
London
:
DH
; 
2007
.
10.
Department of Health
. 
Improving outcomes: a strategy for cancer
.
London: DH
; 
2011
.
11.
Foley
G
,
Alston
R
,
Geraci
M
,
Brabin
L
,
Kitchener
H
,
Birch
J
. 
Increasing rates of cervical cancer in young women in England: an analysis of national data 1982–2006
.
Br J Cancer
2011
;
105
:
177
84
.
12.
Lancuck
L
,
Patnick
J
,
Vessey
M
. 
A cohort effect in cervical screening coverage
?
J Med Screen
2008
;
15
:
27
9
.
13.
Department of Health
. 
Annual HPV vaccine uptake in England: 2010/11 [Internet]
2012
.
Available from
: http://media.dh.gov.uk/network/211/files/2012/03/120319_HPV_UptakeReport2010-11-revised_acc.pdf
14.
Hughes
A
,
Mesher
D
,
White
J
,
Soldan
K
. 
Coverage of the English national human papillomavirus (HPV) immunisation programme among 12 to 17 year-old females by area-level deprivation score, England, 2008 to 2011
.
Euro Surveill Bull Eur Sur Mal Transm Eur Commun Dis Bull
2014
;
19
.
15.
Cottrell
S
,
Roberts
R
,
Thomas
D
. 
Factors affecting uptake of HPV vaccination in Wales
.
University of Warick
; 
2012
.
16.
Sinka
K
,
Kavanagh
K
,
Gordon
R
,
Love
J
,
Potts
A
,
Donaghy
M
, et al
Achieving high and equitable coverage of adolescent HPV vaccine in Scotland
.
J Epidemiol Community Health
2014
;
68
:
57
63
.
17.
Sonnenberg
P
,
Clifton
S
,
Beddows
S
,
Field
N
,
Soldan
K
,
Tanton
C
, et al
Prevalence, risk factors, and uptake of interventions for sexually transmitted infections in Britain: findings from the National Surveys of Sexual Attitudes and Lifestyles (Natsal)
.
Lancet
2013
;
382
:
1795
806
.
18.
Erens
B
,
Phelps
A
,
Clifton
S
,
Mercer
CH
,
Tanton
C
,
Hussey
D
, et al
Methodology of the third British National Survey of Sexual Attitudes and Lifestyles (Natsal-3)
.
Sex Transm Infect
2014
;
90
:
84
9
.
19.
Mercer
CH
,
Tanton
C
,
Prah
P
,
Erens
B
,
Sonnenberg
P
,
Clifton
S
, et al
Changes in sexual attitudes and lifestyles in Britain through the life course and over time: findings from the National Surveys of Sexual Attitudes and Lifestyles (Natsal)
.
Lancet
2013
;
382
:
1781
94
.
20.
Payne
RA
,
Abel
GA
. 
UK indices of multiple deprivation - a way to make comparisons across constituent countries easier
.
Health Stat Q Off Natl Stat
2012
;
22
37
.
21.
Sutton
S
,
Rutherford
C
. 
Sociodemographic and attitudinal correlates of cervical screening uptake in a national sample of women in Britain
.
Soc Sci Med
2005
;
61
:
2460
5
.
22.
Field
N
,
Tanton
C
,
Mercer
CH
,
Nicholson
S
,
Soldan
K
,
Beddows
S
, et al
Testing for sexually transmitted infections in a population-based sexual health survey: development of an acceptable ethical approach
.
J Med Ethics
2012
;
38
:
380
2
.
23.
Bissett
SL
,
Howell-Jones
R
,
Swift
C
,
De Silva
N
,
Biscornet
L
,
Parry
JV
, et al
Human papillomavirus genotype detection and viral load in paired genital and urine samples from both females and males
.
J Med Virol
2011
;
83
:
1744
51
.
24.
Bouvard
V
,
Baan
R
,
Straif
K
,
Grosse
Y
,
Secretan
B
,
El Ghissassi
F
, et al
A review of human carcinogens–Part B: biological agents
.
Lancet Oncol
2009
;
10
:
321
2
.
25.
International Collaboration of Epidemiological Studies of Cervical Cancer
. 
Cervical carcinoma and reproductive factors: collaborative reanalysis of individual data on 16,563 women with cervical carcinoma and 33,542 women without cervical carcinoma from 25 epidemiological studies
.
Int J Cancer
2006
;
119
:
1108
24
.
26.
Bowman
JA
,
Redman
S
,
Dickinson
JA
,
Gibberd
R
,
Sanson-Fisher
RW
. 
The accuracy of Pap smear utilization self-report: a methodological consideration in cervical screening research
.
Health Serv Res
1991
;
26
:
97
107
.
27.
Caplan
LS
,
McQueen
DV
,
Qualters
JR
,
Leff
M
,
Garrett
C
,
Calonge
N
. 
Validity of women's self-reports of cancer screening test utilization in a managed care population
.
Cancer Epidemiol Biomarkers Prev
2003
;
12
:
1182
7
.
28.
Moser
K
,
Patnick
J
,
Beral
V
. 
Inequalities in reported use of breast and cervical screening in Great Britain: analysis of cross sectional survey data
.
BMJ
2009
;
338
:
b2025
.
29.
Klungsøyr
O
,
Nygård
M
,
Skare
G
,
Eriksen
T
,
Nygård
JF
. 
Validity of self-reported Pap smear history in Norwegian women
.
J Med Screen
2009
;
16
:
91
7
.
30.
Stupiansky
NW
,
Zimet
GD
,
Cummings
T
,
Fortenberry
JD
,
Shew
M
. 
Accuracy of self-reported human papillomavirus vaccine receipt among adolescent girls and their mothers
.
J Adolesc Health
2012
;
50
:
103
5
.
31.
Craig
R
,
Mindell
J
. 
Health Survey for England 2010 - volume 1: respiratory health
.
Leeds
:
The NHS Information Centre
; 
2011
.
32.
Park
A
,
Clery
E
,
Curtice
J
,
Phillips
M
,
Utting
D
eds.
British Social Attitudes: the 28th report
.
London
:
NatCen Social Research
; 
2012
.
33.
Waller
J
,
Bartoszek
M
,
Marlow
L
,
Wardle
J
. 
Barriers to cervical cancer screening attendance in England: a population-based survey
.
J Med Screen
2009
;
16
:
199
204
.
34.
Enerly
E
,
Olofsson
C
,
Nygård
M
. 
Monitoring human papillomavirus prevalence in urine samples: a review
.
Clin Epidemiol
2013
;
5
:
67
79
.
35.
Pathak
N
,
Dodds
J
,
Zamora
J
,
Khan
K
. 
Accuracy of urinary human papillomavirus testing for presence of cervical HPV: systematic review and meta-analysis
.
BMJ
2014
;
349
:
g5264
.
36.
Fisher
H
,
Audrey
S
,
Mytton
JA
,
Hickman
M
,
Trotter
C
. 
Examining inequalities in the uptake of the school-based HPV vaccination programme in England: a retrospective cohort study
.
J Public Health Oxf Engl
2014
;
36
:
36
45
.
37.
Roberts
SA
,
Brabin
L
,
Stretch
R
,
Baxter
D
,
Elton
P
,
Kitchener
H
, et al
Human papillomavirus vaccination and social inequality: results from a prospective cohort study
.
Epidemiol Infect
2011
;
139
:
400
5
.
38.
Jit
M
,
Choi
YH
,
Edmunds
WJ
. 
Economic evaluation of human papillomavirus vaccination in the United Kingdom
.
BMJ
2008
;
337
:
a769
.
39.
International Collaboration of Epidemiological Studies of Cervical Cancer
Appleby
P
,
Beral
V
,
Berrington de González
A
,
Colin
D
,
Franceschi
S
, et al
Carcinoma of the cervix and tobacco smoking: collaborative reanalysis of individual data on 13,541 women with carcinoma of the cervix and 23,017 women without carcinoma of the cervix from 23 epidemiological studies
.
Int J Cancer
2006
;
118
:
1481
95
.
40.
Bowyer
HL
,
Dodd
RH
,
Marlow
LAV
,
Waller
J
. 
Association between human papillomavirus vaccine status and other cervical cancer risk factors
.
Vaccine
2014
;
32
:
4310
6
.
41.
Fish
J
,
Anthony
D
. 
UK national Lesbians and Health Care Survey
.
Women Health
2005
;
41
:
27
45
.
42.
Bailey
JV
,
Kavanagh
J
,
Owen
C
,
McLean
KA
,
Skinner
CJ
. 
Lesbians and cervical screening
.
Br J Gen Pract
2000
;
50
:
481
2
.
43.
Sasieni
P
,
Adams
J
,
Cuzick
J
. 
Benefit of cervical screening at different ages: evidence from the UK audit of screening histories
.
Br J Cancer
2003
;
89
:
88
93
.
44.
Castañón
A
,
Landy
R
,
Cuzick
J
,
Sasieni
P
. 
Cervical screening at age 50–64 years and the risk of cervical cancer at age 65 years and older: population-based case control study
.
PLoS Med
2014
;
11
:
e1001585
.
45.
National Cancer Intelligence Network
. 
Cancer Incidence and Survival By Major Ethnic Group, England, 2002 - 2006 [Internet]
;
London
: 
2006
.
Available from
: http://www.ncin.org.uk/view?rid=75.
46.
NHS Cervical Screening Programme
. 
NHS Cervical Screening Programme: Annual Review 2012 [Internet]
.
Sheffield
; 
2012
.
Available from
: http://www.cancerscreening.nhs.uk/cervical/publications/cervical-annual-review-2012.pdf.