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Research Articles

High-Risk Human Papillomavirus (HPV) Infection and Cervical Cancer Prevention in Britain: Evidence of Differential Uptake of Interventions from a Probability Survey

Clare Tanton, Kate Soldan, Simon Beddows, Catherine H. Mercer, Jo Waller, Nigel Field, Soazig Clifton, Andrew J. Copas, Kavita Panwar, Precious Manyenga, Filomeno da Silva, Kaye Wellings, Catherine A. Ison, Anne M. Johnson and Pam Sonnenberg
Clare Tanton
1Research Department of Infection and Population Health, University College London, London, United Kingdom.
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  • For correspondence: c.tanton@ucl.ac.uk
Kate Soldan
2Centre for Infectious Disease Surveillance & Control (CIDSC), Public Health England, London, United Kingdom.
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Simon Beddows
3Virus Reference Department, Public Health England, London, United Kingdom.
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Catherine H. Mercer
1Research Department of Infection and Population Health, University College London, London, United Kingdom.
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Jo Waller
4Cancer Research UK Health Behaviour Research Centre, Research Department of Epidemiology and Public Health, University College London, London, United Kingdom.
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Nigel Field
1Research Department of Infection and Population Health, University College London, London, United Kingdom.
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Soazig Clifton
1Research Department of Infection and Population Health, University College London, London, United Kingdom.
5NatCen Social Research, London, United Kingdom.
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Andrew J. Copas
1Research Department of Infection and Population Health, University College London, London, United Kingdom.
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Kavita Panwar
3Virus Reference Department, Public Health England, London, United Kingdom.
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Precious Manyenga
3Virus Reference Department, Public Health England, London, United Kingdom.
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Filomeno da Silva
3Virus Reference Department, Public Health England, London, United Kingdom.
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Kaye Wellings
6Centre for Sexual and Reproductive Health Research, Department of Social and Environmental Health Research, London School of Hygiene and Tropical Medicine, London, United Kingdom.
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Catherine A. Ison
7Sexually Transmitted Bacteria Reference Unit, Public Health England, London, United Kingdom.
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Anne M. Johnson
1Research Department of Infection and Population Health, University College London, London, United Kingdom.
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Pam Sonnenberg
1Research Department of Infection and Population Health, University College London, London, United Kingdom.
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DOI: 10.1158/1055-9965.EPI-14-1333 Published May 2015
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    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).

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    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.

Tables

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  • 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
    All15.9% (14.4–17.5)—2,569, 2,189
    Socio-demographic characteristics
     Age (years)P < 0.0001
      16–1924.4% (20.0–29.3)1 (—)377, 203
      20–2426.6% (22.8–30.8)1.13 (0.82–1.56)580, 370
      25–3415.6% (13.4–18.2)0.58 (0.42–0.79)1,108, 779
      35–449.3% (7.1–12.2)0.32 (0.22–0.47)504, 837
     Relationship status at interviewP < 0.0001P < 0.0001
      Living with a partner11.2% (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 partnership19.9% (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)bP = 0.0238P = 0.0578
      1–2 (least deprived)13.5% (11.2–16.1)1 (—)1 (—)873, 778
      315.0% (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 qualificationscP = 0.6717P = 0.1250
      No academic qualifications15.1% (10.5–21.4)0.99 (0.63–1.56)1.13 (0.72–1.77)215, 191
      Academic qualifications typically gained at age 1616.7% (14.1–19.6)1.12 (0.87–1.44)1.3 (1.01–1.68)877, 748
      Studying for/attained further academic qualifications15.2% (13.3–17.4)1 (—)1 (—)1,348, 1,157
     Housing tenureP < 0.0001P = 0.0011
      Own outright14.3% (10.0–19.9)1.38 (0.88–2.16)1.15 (0.72–1.81)218, 201
      Buying with a mortgage or loand10.8% (8.9–13.0)1 (—)1 (—)911, 912
      Rent it20.5% (18.0–23.1)2.13 (1.64–2.78)1.71 (1.30–2.26)1,325, 996
      Lives rent free24.1% (16.6–33.8)2.64 (1.59–4.38)1.53 (0.91–2.56)106, 74
     Respondent's NS-SECP < 0.0001P = 0.0009
      Managerial and professional occupations10.3% (8.3–12.7)1 (—)1 (—)709, 714
      Intermediate occupations16.6% (13.0–21.1)1.74 (1.21–2.52)1.60 (1.11–2.30)464, 423
      Semiroutine/routine occupations18.5% (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 years22.5% (16.6–29.8)2.53 (1.62–3.96)2.08 (1.31–3.31)210, 173
      Student in full-time education19.8% (15.8–24.6)2.16 (1.50–3.11)1.01 (0.66–1.55)398, 256
     Ethnic groupeP = 0.0061P = 0.0150
      White16.2% (14.6–18.0)1 (—)1 (—)2,312, 1,914
      Mixed29.7% (19.4–42.7)2.18 (1.24–3.85)2.00 (1.09–3.67)74, 58
      Asian/Asian British7.0% (2.9–15.5)0.39 (0.16–0.95)0.40 (0.17–0.97)82, 114
      Black/Black British12.6% (6.8–22.0)0.74 (0.38–1.46)0.69 (0.36–1.32)77, 77
     ReligionP = 0.0286P = 0.2671
      None17.7% (15.7–20.0)1 (—)1 (—)1,509, 1,189
      Christian—Church of England/Anglican9.8% (6.2–15.2)0.51 (0.30–0.85)0.70 (0.42–1.19)220, 235
      Christian—Roman Catholic14.2% (10.3–19.3)0.77 (0.52–1.14)0.84 (0.57–1.25)261, 226
      Christian—other17.0% (13.4–21.5)0.96 (0.69–1.32)1.01 (0.73–1.39)457, 396
      Non-Christian10.4% (5.9–17.7)0.54 (0.29–1.01)0.57 (0.31–1.05)122, 142
     Sexual identityP = 0.2447P = 0.1893
      Heterosexual/straight16.1% (14.5–17.8)1 (—)1 (—)2,457, 2,108
      Gay/lesbian/bisexual11.4% (6.1–20.1)0.67 (0.34–1.32)0.62 (0.31–1.26)107, 79
    Health behaviors
     Smoking statusP < 0.0001P < 0.0001
      Non/ex-smoker12.9% (11.4–14.7)1 (—)1 (—)1,702, 1,568
      Current smoker23.4% (20.1–26.9)2.05 (1.61–2.60)1.91 (1.49–2.43)867, 622
     Frequency of binge drinkingfP = 0.0001P = 0.0011
      Never/less than monthly13.9% (12.2–15.7)1 (—)1 (—)1,730, 1,573
      Monthly19.1% (15.6–23.2)1.47 (1.10–1.96)1.31 (0.98–1.75)484, 355
      Weekly or more often23.8% (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 < 0.0001P = 0.0059
      18+11.0% (8.5–14.0)1 (—)1 (—)577, 642
      1712.9% (9.8–16.7)1.20 (0.79–1.82)1.18 (0.78–1.80)432, 419
      1620.5% (17.2–24.3)2.10 (1.48–2.97)1.78 (1.24–2.56)659, 517
      <1620.2% (17.4–23.4)2.06 (1.47–2.89)1.65 (1.17–2.34)859, 577
     Number of sexual partners, lifetimegP < 0.0001P < 0.0001
      14.2% (2.4–7.2)1 (—)1 (—)342, 361
      211.3% (7.5–16.5)2.89 (1.40–5.96)2.74 (1.32–5.69)234, 213
      3–413.7% (10.6–17.5)3.60 (1.91–6.81)3.71 (1.97–7.01)441, 388
      5–917.2% (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 yearsgP < 0.0001P < 0.0001
      0/17.1% (5.7–8.9)1 (—)1 (—)1,162, 1,258
      221.9% (17.5–26.9)3.64 (2.52–5.25)3.34 (2.29–4.86)425, 316
      3–423.0% (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 yeargP < 0.0001P < 0.0001
      011.3% (8.5–14.8)1 (—)1 (—)449, 405
      114.0% (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 yearP = 0.0001P = 0.1711
      No13.1% (11.1–15.5)1 (—)1 (—)1,172, 1,137
      Yes19.7% (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 yearsP < 0.0001P < 0.0001
      No11.7% (10.2–13.4)1 (—)1 (—)1,779, 1,686
      Yes30.4% (26.8–34.2)3.29 (2.62–4.14)2.54 (2.00–3.23)765, 484
     STI diagnosisi, past 5 yearsP < 0.0001P < 0.0001
      No14.7% (13.2–16.4)1 (—)1 (—)2,316, 2,038
      Yes35.3% (29.2–41.9)3.16 (2.33–4.28)2.36 (1.76–3.16)237, 134
     Genital warts diagnosis, everP = 0.2095P = 0.0891
      No15.8% (14.3–17.5)1 (—)1 (—)2,436, 2,085
      Yes20.2% (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.

  • 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 ages8.9% (8.0–9.8)5,012, 4,731
    Sociodemographic characteristics
     Age, yearsP < 0.0001
      26–2914.9% (12.7–17.4)2.28 (1.72–3.00)1,121, 547
      30–397.1% (5.9–8.7)1 (—)1,605, 1,312
      40–496.2% (4.9–8.0)0.86 (0.61–1.21)1,107, 1,404
      50–599.6% (7.8–11.9)1.38 (1.01–1.90)826, 1,058
      60–6413.4% (9.7–18.2)2.01 (1.32–3.05)353, 411
     Relationship status at interviewP < 0.0001P = 0.0004
      Living with a partner8.0% (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 partnership11.5% (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)bP < 0.0001P < 0.0001
      1–2 (least deprived)6.3% (5.2–7.6)1 (—)1 (—)1,885, 1,938
      38.9% (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 qualificationsP < 0.0001P = 0.0001
      No academic qualifications14.1% (11.5–17.1)2.04 (1.53–2.73)1.95 (1.43–2.66)751, 764
      Academic qualifications typically gained at age 168.1% (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 qualifications7.4% (6.3–8.7)1 (—)1 (—)2,278, 2,102
     Housing tenureP < 0.0001P < 0.0001
      Own outright9.6% (7.7–12.0)1.77 (1.28–2.46)1.34 (0.93–1.92)868, 1,034
      Buying with a mortgage or loanc5.7% (4.7–6.9)1 (—)1 (—)2,092, 2,118
      Rent it12.6% (11.0–14.3)2.40 (1.86–3.08)2.14 (1.65–2.78)1,967, 1,505
      Lives rent free17.3% (9.4–29.8)3.49 (1.70–7.19)2.88 (1.44–5.77)71, 59
     Respondent's NS-SECP < 0.0001P < 0.0001
      Managerial & professional occupations6.4% (5.3–7.7)1 (—)1 (—)1,868, 1,810
      Intermediate occupations7.0% (5.5–8.8)1.10 (0.80–1.53)1.07 (0.77–1.49)1,160, 1,081
      Semiroutine/routine occupations11.8% (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 years14.8% (11.4–18.9)2.54 (1.77–3.65)2.40 (1.66–3.47)475, 474
      Student in full-time education9.5% (5.1–17.1)1.55 (0.77–3.11)1.32 (0.67–2.62)124, 95
     Ethnic groupP = 0.0066P = 0.0052
      White8.3% (7.4–9.2)1 (—)1 (—)4,415, 4,155
      Mixed11.7% (5.7–22.4)1.46 (0.68–3.17)1.49 (0.68–3.25)89, 72
      Asian/Asian British15.1% (10.9–20.6)1.97 (1.32–2.93)1.96 (1.32–2.90)254, 256
      Black/Black British11.8% (6.8–19.6)1.48 (0.81–2.71)1.62 (0.88–2.97)174, 176
      Other12.5% (6.5–22.7)1.58 (0.78–3.24)1.52 (0.73–3.16)69, 63
     ReligionP = 0.0076P = 0.0049
      None9.4% (8.2–10.9)1 (—)1 (—)2,330, 2,052
      Christian—Church of England/Anglican6.3% (4.8–8.4)0.65 (0.46–0.92)0.60 (0.42–0.86)832, 906
      Christian—Roman Catholic7.9% (5.9–10.6)0.83 (0.58–1.19)0.80 (0.55–1.16)582, 558
      Christian—other9.2% (7.2–11.7)0.97 (0.72–1.32)0.93 (0.68–1.28)930, 903
      Muslim13.9% (8.8–21.1)1.55 (0.91–2.63)1.50 (0.88–2.56)160, 152
      Hindu19.6% (11.2–32.1)2.34 (1.20–4.57)2.21 (1.13–4.32)68, 57
      Other8.6% (3.8–18.5)0.91 (0.38–2.18)0.91 (0.40–2.08)102, 94
     Sexual identityP = 0.0271P = 0.0234
      Heterosexual/straight8.7% (7.9–9.7)1 (—)1 (—)4,849, 4,599
      Gay/lesbian20.9% (11.1–35.7)2.76 (1.31–5.78)2.94 (1.36–6.38)63, 56
      Bisexual8.3% (3.9–16.5)0.94 (0.43–2.05)0.93 (0.44–1.98)75, 53
    Health behaviors
     Smoking statusP < 0.0001P < 0.0001
      Non/ex-smoker7.5% (6.6–8.5)1 (—)1 (—)3,700, 3,646
      Current smoker13.5% (11.5–15.7)1.92 (1.54–2.40)1.97 (1.57–2.47)1,312, 1,085
     Frequency of binge drinkingdP = 0.0277P = 0.0473
      Never/less than monthly9.5% (8.5–10.6)1 (—)1 (—)3,769, 3,636
      Monthly6.7% (5.0–9.0)0.69 (0.49–0.96)0.69 (0.49–0.97)664, 568
      Weekly or more often7.1% (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 = 0.3000P = 0.5485
      18+9.7% (8.3–11.2)1 (—)1 (—)1,971, 2,033
      16/178.2% (6.9–9.7)0.83 (0.65–1.06)0.89 (0.69–1.14)1,943, 1,825
      <168.4% (6.7–10.5)0.86 (0.64–1.15)0.87 (0.64–1.18)1,040, 812
     Number of sexual partners, lifetimeeP = 0.0612P = 0.2391
      111.4% (9.3–13.9)1 (—)1 (—)832, 923
      29.4% (7.0–12.4)0.80 (0.54–1.19)0.81 (0.55–1.21)468, 478
      3–48.5% (6.8–10.6)0.72 (0.51–1.02)0.77 (0.54–1.09)920, 890
      5–98.0% (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 yearseP < 0.0001P < 0.0001
      019.3% (15.0–24.5)2.72 (1.94–3.82)2.45 (1.67–3.61)358, 342
      18.1% (7.1–9.2)1 (—)1 (—)3,133, 3,311
      28.2% (6.1–10.9)1.02 (0.72–1.45)0.94 (0.66–1.34)625, 471
      3–47.1% (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 yeareP < 0.0001P < 0.0001
      014.1% (12.0–16.6)1 (—)1 (—)1,263, 1,136
      17.1% (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 yearP = 0.0001P < 0.0001
      No9.8% (8.7–10.9)1 (—)1 (—)3,369, 3,489
      Yes6.3% (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) clinicP = 0.0002P < 0.0001
      No9.7% (8.7–10.8)1 (—)1 (—)3,611, 3,636
      Yes6.0% (4.8–7.5)0.60 (0.46–0.78)0.53 (0.40–0.69)1,353, 1,041
     Ever diagnosed with a STIgP = 0.0004P = 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 selfP = 0.0377P = 0.0200
      Greatly at risk/quite a lot5.5% (2.9–10.0)1 (—)1 (—)130, 97
      Not very much7.1% (5.6–9.1)1.33 (0.65–2.71)1.34 (0.67–2.67)903, 715
      Not at all at risk9.3% (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 sample10.6% (8.7–12.8)1,474, 1,512h
     1+ high-risk HPV type(s)P = 0.2062P = 0.2775
      Negative10.1% (8.1–12.5)1 (—)1 (—)1,243, 1,329
      Positive13.7% (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.

  • 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, 420111, 105385, 314
    Age, years
      26–2919.4% (16.3–22.9)18.4% (12.6–26.0)19.8% (16.3–23.8)
      30–3922.3% (18.5–26.7)26.5% (18.3–36.6)21.0% (16.8–25.9)
      40–4920.8% (16.6–25.8)14.3% (7.2–26.3)23.0% (18.2–28.7)
      50–5924.3% (19.9–29.3)20.3% (12.4–31.5)25.6% (20.5–31.5)
      60–6413.1% (9.6–17.6)20.6% (12.5–31.9)10.6% (7.1–15.5)
     IMD (quintiles)bP = 0.4394c
      1–2 (least deprived)29.1% (24.4–34.2)28.8% (20.3–39.2)29.1% (23.8–35.1)
      320.0% (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 qualificationsP = 0.1289c
      No academic qualifications26.7% (22.1–31.8)34.7% (24.2–46.9)24.1% (19.4–29.7)
      Academic qualifications typically gained at age 1634.6% (29.6–39.9)26.4% (17.4–38.0)37.2% (31.5–43.2)
      Studying for/attained further academic qualifications38.7% (33.6–44.1)38.9% (28.4–50.6)38.7% (32.9–44.8)
     Ethnic groupP < 0.0001c
      White82.0% (77.5–85.8)59.3% (47.9–69.8)89.6% (85.3–92.7)
      Mixed2.0% (1.0–4.1)1.4% (0.3–5.8)2.2% (1.0–4.9)
      Asian/Asian British9.2% (6.5–12.8)25.5% (17.2–36.1)3.7% (2.1–6.6)
      Black/Black British4.9% (2.8–8.5)9.4% (3.8–21.2)3.5% (1.7–6.9)
      Other1.9% (1.0–3.5)4.5% (1.9–9.9)1.0% (0.4–2.7)
     Smoking statusP = 0.0022c
      Non/ex-smoker65.1% (60.2–69.7)79.7% (68.9–87.4)60.2% (54.6–65.6)
      Current smoker34.9% (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)
      16/1736.1% (31.2–41.2)17.5% (10.4–27.9)42.3% (36.5–48.3)
      <1616.5% (13.1–20.5)0.9% (0.3–2.9)21.7% (17.3–26.8)
     Sexual partner, past 5 yearsaP = 0.2239c
      No15.9% (12.2–20.3)20.3% (12.5–31.4)14.4% (10.6–19.2)
      Yes84.1% (79.7–87.8)79.7% (68.6–87.5)85.6% (80.8–89.4)
    Denominator (unwt, wt)d148, 16031, 47117, 112
     1+ high-risk HPV type(s)P = 0.0216c
      Negative84.2% (76.2–89.8)94.8% (82.8–98.6)79.7% (69.5–87.1)
      Positive15.8% (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.

  • 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 program38.5% (35.3–41.9)1,050, 562
    Socio-demographic factors
     Age at interview (years)P < 0.0001
      16–1728.0% (23.2–33.4)1 (—)394, 195
      18–1941.7% (36.7–47.0)1.84 (1.33–2.56)449, 241
      20–2148.7% (41.3–56.1)2.44 (1.64–3.63)207, 125
     School year at eligibility for HPV vaccination programP < 0.0001P = 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 regionP < 0.0001P < 0.0001
      Rest of England36.4% (32.7–40.2)1 (—)1 (—)803, 421
      London62.4% (52.3–71.5)2.90 (1.87–4.50)2.76 (1.77–4.30)100, 66
      Scotland19.8% (13.1–28.8)0.43 (0.26–0.72)0.41 (0.24–0.70)89, 46
      Wales44.4% (31.0–58.6)1.40 (0.78–2.48)1.31 (0.74–2.35)58, 29
     IMD (quintiles)aP < 0.0001P = 0.0001
      1–2 (least deprived)30.1% (25.3–35.4)1 (—)1 (—)393, 210
      336.7% (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 classP = 0.0308P = 0.0285
      I/II/III35.1% (31.2–39.2)1 (—)1 (—)714, 385
      IV/V44.9% (37.0–53.1)1.51 (1.04–2.19)1.52 (1.05–2.21)196, 103
     Academic qualificationsbP < 0.0001P < 0.0001
      No academic qualifications75.2% (55.9–87.9)6.04 (2.63–13.85)5.84 (2.50–13.62)39, 18
      Academic qualifications typically gained at age 1657.2% (49.3–64.7)2.66 (1.85–3.83)2.52 (1.75–3.65)188, 92
      Studying for/attained further academic qualifications33.4% (29.5–37.6)1 (—)1 (—)650, 361
     Ethnic groupP = 0.0015P = 0.0001
      White36.3% (32.9–39.7)1 (—)1 (—)937, 491
      Non-white54.1% (43.5–64.5)2.07 (1.32–3.25)2.01 (1.29–3.13)113, 71
    Health behaviors
     Smoking statusP < 0.0001P < 0.0001
      Non/ex-smoker31.8% (28.3–35.7)1 (—)1 (—)737, 400
      Current smoker55.0% (48.9–61.0)2.62 (1.95–3.53)2.61 (1.93–3.55)313, 162
     Frequency of binge drinkingcP = 0.0665P = 0.1886
      Never/less than monthly36.8% (32.9–41.0)1 (—)1 (—)712, 376
      Monthly36.9% (30.0–44.5)1.00 (0.71–1.43)0.90 (0.62–1.30)200, 107
      Weekly or more often48.4% (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, lifetimedP < 0.0001P = 0.0107
      024.5% (18.4–31.7)0.62 (0.38–1.01)0.72 (0.43–1.18)205, 109
      134.4% (27.1–42.5)1 (—)1 (—)203, 113
      237.6% (29.1–46.8)1.15 (0.69–1.89)1.12 (0.68–1.84)147, 77
      3–439.6% (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 partnerd41.9% (38.3–45.6)843, 451
    Sexual behaviors (those with 1+ lifetime partner)
     Had heterosexual sex before 16P = 0.0088P = 0.0014
      No37.5% (32.7–42.6)1 (—)1 (—)456, 252
      Yes47.7% (42.0–53.4)1.52 (1.11–2.07)1.68 (1.22–2.30)355, 181
     Number of sexual partners, past yeardP = 0.3294P = 0.2689
      0/139.7% (35.0–44.6)1 (—)1 (—)475, 260
      244.8% (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 yeardP = 0.0092P = 0.0065
      038.8% (31.0–47.2)1 (—)1 (—)196, 106
      139.6% (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 yeareP < 0.0001P < 0.0001
      No54.3% (47.1–61.4)1 (—)1 (—)235, 131
      Yes36.4% (32.4–40.7)0.48 (0.34–0.68)0.47 (0.34–0.67)570, 299
     Ever attended a sexual health (GUM) clinicP = 0.0044P = 0.0100
      No37.2% (32.6–42.1)1 (—)1 (—)462, 251
      Yes47.8% (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)fP = 0.1735P = 0.4147
      No (or only thrush)41.0% (37.1–45.0)1 (—)1 (—)730, 395
      Yes48.5% (38.3–58.8)1.36 (0.87–2.10)1.20 (0.77–1.88)109, 55
     Ever been pregnantP < 0.0001P < 0.0001
      No35.4% (31.4–39.8)1 (—)1 (—)633, 346
      Yes63.4% (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 partnerd who provided a urine sample41.0% (36.1–46.1)481, 273
    HPV markers in urine
     Any HPV type(s)P = 0.0302P = 0.0383
      HPV negative36.0% (29.3–43.2)1 (—)1 (—)253, 152
      HPV positive47.2% (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 = 0.0003P = 0.0005
      Negative35.3% (29.6–41.4)1 (—)1 (—)347, 200
      Positive56.6% (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.

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Cancer Epidemiology Biomarkers & Prevention: 24 (5)
May 2015
Volume 24, Issue 5
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High-Risk Human Papillomavirus (HPV) Infection and Cervical Cancer Prevention in Britain: Evidence of Differential Uptake of Interventions from a Probability Survey
Clare Tanton, Kate Soldan, Simon Beddows, Catherine H. Mercer, Jo Waller, Nigel Field, Soazig Clifton, Andrew J. Copas, Kavita Panwar, Precious Manyenga, Filomeno da Silva, Kaye Wellings, Catherine A. Ison, Anne M. Johnson and Pam Sonnenberg
Cancer Epidemiol Biomarkers Prev May 1 2015 (24) (5) 842-853; DOI: 10.1158/1055-9965.EPI-14-1333

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High-Risk Human Papillomavirus (HPV) Infection and Cervical Cancer Prevention in Britain: Evidence of Differential Uptake of Interventions from a Probability Survey
Clare Tanton, Kate Soldan, Simon Beddows, Catherine H. Mercer, Jo Waller, Nigel Field, Soazig Clifton, Andrew J. Copas, Kavita Panwar, Precious Manyenga, Filomeno da Silva, Kaye Wellings, Catherine A. Ison, Anne M. Johnson and Pam Sonnenberg
Cancer Epidemiol Biomarkers Prev May 1 2015 (24) (5) 842-853; DOI: 10.1158/1055-9965.EPI-14-1333
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