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Preplanned Studies: Cervical Cancer Screening Rates Among Chinese Women — China, 2023–2024

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  • Summary

    What is already known about this topic?

    The Chinese government has established targets for cervical cancer screening coverage among women of appropriate age: 50% by 2025 and 70% by 2030. Previous data from 2018–2019 indicated that 36.8% of women aged 35–64 years had been screened in China.

    What is added by this report?

    In 2023–2024, screening rates reached 51.5% among women aged 35–64 years, 57.9% among women aged 35–44 years, and 36.8% among women aged 20 years and above. Rural screening coverage (48.2%) approached but remained slightly below the 50% target. Several regions, particularly in the Eastern, Central, and Southern regions have achieved the 2025 target. Significant determinants of low cervical cancer screening coverage among Chinese women encompassed lower educational attainment, unemployment status, limited household income, lack of health insurance coverage, and absence of health check-ups.

    What are the implications for public health practice?

    Intensified implementation of the Action Plan to Accelerate Elimination of Cervical Cancer is needed, particularly in rural areas with suboptimal screening rates. Enhanced health education and service delivery should target women of lower socioeconomic status to facilitate their active participation in screening programs.

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  • Conflicts of interest: No conflicts of interest.
  • Funding: The survey was funded by the Chinese Central Government (Key Project of Public Health Program)
  • [1] Arbyn M, Weiderpass E, Bruni L, de Sanjosé S, Saraiya M, Ferlay J, et al. Estimates of incidence and mortality of cervical cancer in 2018: a worldwide analysis. Lancet Glob Health 2020;8(2):e191 − 203. https://doi.org/10.1016/S2214-109X(21)00554-4.
    [2] Wu J, Jin QY, Zhang YM, Ji YT, Li JJ, Liu XM, et al. Global burden of cervical cancer: current estimates, temporal trend and future projections based on the GLOBOCAN 2022. Journal of the National Cancer Center. 2025 (In press). https://doi.org/10.1016/j.jncc.2024.11.006.
    [3] World Health Organization. Global strategy to accelerate the elimination of cervical cancer as a public health problem. 2020. https://iris.who.int/bitstream/handle/10665/336583/9789240014107-eng.pdf?sequence=1. [2025-01-04]
    [4] Notice of the General Office of the National Health Commission on Released the Work Plan for Cervical Cancer Screening and Breast Cancer Screening. http://www.nhc.gov.cn/fys/s3581/202201/cad44d88acca4ae49e12dab9176ae21c.shtml. [2025-01-04].
    [5] Zhang M, Zhong YJ, Wang LM, Bao HL, Huang ZJ, Zhao ZP, et al. Cervical cancer screening coverage - China, 2018-2019. China CDC Wkly 2022;4(48):1077 − 82. https://doi.org/10.46234/ccdcw2022.217.
    [6] Zhang M, Zhong YJ, Zhao ZP, Huang ZJ, Zhang X, Li C, et al. Cervical cancer screening rates among Chinese women - China, 2015. China CDC Wkly 2020;2(26):481 − 6. https://doi.org/10.46234/ccdcw2020.128.
    [7] Zhang M, Wang LH, Wu J, Huang ZJ, Zhao ZP, Zhang X, et al. Data resource profile: China chronic disease and risk factor surveillance (CCDRFS). Int J Epidemiol 2022;51(2):e1 − 8. https://doi.org/10.1093/ije/dyab255.
    [8] Wang LM, Xu X, Zhang M, Hu CH, Zhang X, Li C, et al. Prevalence of chronic kidney disease in China: results from the sixth China chronic disease and risk factor surveillance. JAMA Intern Med 2023;183(4):298 − 310. https://doi.org/10.1001/jamainternmed.2022.6817.
    [9] Bruni L, Serrano B, Roura E, Alemany L, Cowan M, Herrero R, et al. Cervical cancer screening programmes and age-specific coverage estimates for 202 countries and territories worldwide: a review and synthetic analysis. Lancet Glob Health 2022;10(8):e1115 − 27. https://doi.org/10.1016/S2214-109X(22)00241-8.
    [10] Fernández-Deaza G, Serrano B, Roura E, Castillo JS, Caicedo-Martínez M, Bruni L, et al. Cervical cancer screening coverage in the Americas region: a synthetic analysis. Lancet Reg Health Am 2024;30:100689. https://doi.org/10.1016/j.lana.2024.100689.
  • TABLE 1.  Sociodemographic characteristics of female participants aged 20 and above in the survey in China, 2023–2024.

    Characteristics No. of participants (N=96,819) Proportion (%)
    Age group (years)
    20–24 1,260 1.3
    25–34 5,968 6.2
    35–44 10,304 10.6
    45–54 19,219 19.9
    55–64 27,965 28.8
    65–74 24,765 25.6
    ≥75 7,338 7.6
    30–49 21,544 22.3
    35–64 57,488 59.4
    Residence
    Urban 46,634 48.2
    Rural 50,185 51.8
    Geographic region
    Northern 14,149 14.6
    Northeastern 9,371 9.7
    Eastern 24,626 25.4
    Central 12,390 12.8
    Southern 9,583 9.9
    Southwestern 14,603 15.1
    Northwestern 12,097 12.5
    Education
    Primary or less 51,592 53.3
    Secondary 24,615 25.4
    High 10,835 11.2
    College or above 9,777 10.1
    Household income per capita (CNY)
    Q1 (<7,500) 16,649 17.2
    Q2 (7,500–15,999) 18,616 19.2
    Q3 (16,000–29,999) 15,630 16.2
    Q4 (≥30,000) 19,300 19.9
    Don’t know/refused 26,624 27.5
    Employment status
    Employed 57,249 59.1
    Housework 24,932 25.8
    Retired 4,414 4.6
    Unemployed 10,224 10.5
    With health insurance coverage
    No 2,310 2.4
    Yes 94,509 97.6
    Self-assessed health status
    Poor or fair 51,941 53.6
    Good 44,878 46.4
    Have health examination in the previous 3 years
    Yes 37,729 39.0
    No 59,090 61.0
    Abbreviation: CNY=Chinese Yuan.
    Download: CSV

    TABLE 2.  Cervical cancer screening coverages in women aged 20 years and above by age groups in China, 2023–2024.

    Characteristics Coverage (%) (95% CI)*
    Screening ever in lifetime Screening in the previous 5 years Screening in the previous 3 years Screening in the previous year
    Total 36.8 (35.5, 38.1) 35.2 (34.0, 36.5) 32.7 (31.5, 33.9) 24.2 (23.2, 25.2)
    Age group (years)
    20–24 7.5 (5.5, 9.4) 7.4 (5.4, 9.3) 7.0 (5.1, 8.9) 5.5 (3.6, 7.4)
    25–34 32.7 (30.5, 34.9) 32.2 (30.0, 34.4) 30.4 (28.2, 32.6) 22.5 (20.5, 24.4)
    35–44 57.9 (55.9, 60.0) 56.6 (54.6, 58.7) 53.3 (51.3, 55.3) 40.6 (38.6, 42.6)
    45–54 56.2 (54.1, 58.4) 54.0 (51.8, 56.2) 50.0 (47.9, 52.2) 36.9 (35.0, 38.8)
    55–64 38.0 (36.0, 40.0) 35.2 (33.3, 37.2) 31.9 (30.1, 33.8) 22.9 (21.4, 24.5)
    65–74 12.6 (11.7, 13.5) 10.2 (9.3, 11.1) 8.7 (7.9, 9.5) 5.9 (5.3, 6.5)
    ≥75 4.7 (3.8, 5.6) 3.5 (2.7, 4.4) 3.2 (2.4, 4.0) 2.6 (1.9, 3.3)
    30–49 52.6 (50.8, 54.4) 51.3 (49.5, 53.0) 48.2 (46.5, 49.9) 36.8 (35.3, 38.3)
    35–64 51.5 (49.7, 53.3) 49.4 (47.7, 51.2) 45.9 (44.2, 47.5) 34.0 (32.6, 35.4)
    Urban 38.8 (37.1, 40.4) 37.1 (35.5, 38.8) 34.5 (33.0, 36.1) 25.6 (24.3, 26.9)
    30–49 53.8 (51.6, 56.1) 52.3 (50.1, 54.5) 49.4 (47.2, 51.5) 37.7 (35.8, 39.7)
    35–44 59.0 (56.5, 61.5) 57.6 (55.0, 60.1) 54.3 (51.8, 56.8) 41.1 (38.6, 43.5)
    35–64 53.3 (51.1, 55.4) 51.1 (48.9, 53.3) 47.4 (45.3, 49.5) 35.1 (33.3, 36.9)
    Rural 33.1 (31.3, 34.9) 31.7 (29.9, 33.4) 29.3 (27.6, 30.9) 21.6 (20.1, 23.2)
    30–49 49.8 (47.4, 52.2) 48.7 (46.4, 51.1) 45.5 (43.2, 47.8) 34.6 (32.3, 36.8)
    35–44 55.2 (52.4, 58.0) 54.2 (51.5, 57.0) 50.9 (48.2, 53.7) 39.3 (36.5, 42.2)
    35–64 48.2 (45.7, 50.7) 46.4 (43.9, 48.9) 43.1 (40.7, 45.4) 32.1 (29.9, 34.2)
    Abbreviation: CI=confidence interval.
    * Screening rates are all weighted percentages.
    Download: CSV

    TABLE 3.  Multivariable logistic regression analysis of cervical cancer screening rates by sociodemographic factors among women aged 35–64 years in China, 2023–2024.

    Characteristics % (95% CI) OR (95% CI)* P
    Geographic region
    Northern 43.4 (40.5, 46.3) 1.00(Ref) 0.002
    Northeastern 33.8 (27.5, 40.2) 1.69(1.22, 2.36) 0.002
    Eastern 58.8 (55.9, 61.6) 2.85 (2.05, 3.96) <0.001
    Central 58.1 (53.0, 63.1) 3.27 (2.26, 4.73) <0.001
    Southern 50.9 (44.1, 57.7) 2.36 (1.62, 3.44) <0.001
    Southwestern 49.8 (47.0, 52.6) 2.65 (1.90, 3.70) <0.001
    Northwestern 45.5 (40.5, 50.5) 1.87 (1.26, 2.77) <0.001
    Education
    Primary or less 40.2 (38.0, 42.3) 1.00(Ref)
    Middle 54.6 (52.4, 56.8) 1.87 (1.73, 2.01) <0.0001
    High 55.4 (52.6, 58.3) 1.87 (1.70, 2.07) <0.0001
    College or above 65.3 (61.8, 68.8) 2.46 (2.14, 2.84) <0.0001
    Household income per capita (CNY)
    Q1 (<7,500) 44.6 (42.1, 47.1) 1.00(Ref)
    Q2 (7,500–15,999) 50.2 (47.9, 52.6) 1.22 (1.10, 1.35) <0.0001
    Q3 (16,000–29,999) 55.3 (52.6, 58.1) 1.37 (1.22, 1.53) 0.0009
    Q4 (≥30,000) 58.8 (56.3, 61.2) 1.34 (1.20, 1.50) <0.0001
    Don’t know or refused 46.3 (43.9, 48.6) 0.96 (0.86, 1.08) 0.496
    Employment status
    Employed 53.8 (51.8, 55.8) 1.00 (Ref) <0.0001
    Housework 46.7 (44.3, 49.0) 1.57 (1.37, 1.78) <0.0001
    Retired 43.9 (39.3, 48.5) 1.47 (1.26, 1.72) 0.277
    Unemployed 48.3 (44.3, 52.2) 1.12(0.91, 1.38)
    With health insurance coverage
    No 24.3 (20.4, 28.3) 1.00(Ref)
    Yes 52.1 (50.3, 53.8) 2.70 (2.15, 3.40) <0.0001
    Self-assessed health status
    Good 50.1 (48.1, 52.1) 1.00(Ref)
    Poor or fair 52.9 (51.1, 54.7) 1.21(1.11, 1.25) <0.0001
    Have health examination in past 3 years
    No 38.8 (36.9, 40.8) 1.00(Ref)
    Yes 61.8 (60.0, 63.6) 2.17 (2.03, 2.32) <0.0001
    Abbreviation: OR=odds ratio; CI=confidence interval.
    *OR, CI, and P were calculated using ever screened rates.
    Download: CSV

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Cervical Cancer Screening Rates Among Chinese Women — China, 2023–2024

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Summary

What is already known about this topic?

The Chinese government has established targets for cervical cancer screening coverage among women of appropriate age: 50% by 2025 and 70% by 2030. Previous data from 2018–2019 indicated that 36.8% of women aged 35–64 years had been screened in China.

What is added by this report?

In 2023–2024, screening rates reached 51.5% among women aged 35–64 years, 57.9% among women aged 35–44 years, and 36.8% among women aged 20 years and above. Rural screening coverage (48.2%) approached but remained slightly below the 50% target. Several regions, particularly in the Eastern, Central, and Southern regions have achieved the 2025 target. Significant determinants of low cervical cancer screening coverage among Chinese women encompassed lower educational attainment, unemployment status, limited household income, lack of health insurance coverage, and absence of health check-ups.

What are the implications for public health practice?

Intensified implementation of the Action Plan to Accelerate Elimination of Cervical Cancer is needed, particularly in rural areas with suboptimal screening rates. Enhanced health education and service delivery should target women of lower socioeconomic status to facilitate their active participation in screening programs.

  • 1. Division of NCD and Risk Factor Surveillance, National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
  • 2. National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
  • Corresponding author:

    Jing Wu, wujing@ncncd.chinacdc.cn

  • Funding: The survey was funded by the Chinese Central Government (Key Project of Public Health Program)
  • Online Date: March 07 2025
    Issue Date: March 07 2025
    doi: 10.46234/ccdcw2025.052
    • Introduction: The Chinese government has established targets of 50% cervical cancer screening coverage by 2025 and 70% by 2030 for women of appropriate age. This study aimed to assess screening coverage across mainland China and analyze key sociodemographic and geographic determinants.

      Methods: A nationally and provincially representative cross-sectional survey was conducted among adults from 31 provincial-level administrative divisions in China between August 2023 and May 2024. Following data cleaning, 96,819 female participants were included in the analysis. Cervical cancer ever-screening rates were calculated for the overall population and by subgroups. All results were weighted to provide more accurate population-level estimates.

      Results: In 2023–2024, 51.5% of women aged 35–64 years had undergone cervical cancer screening at least once, with rates of 57.9% among women aged 35–44 years and 36.8% among women aged 20 years and above. Screening coverage in rural areas (48.2%) remained slightly below but approached the 50% target. Several regions (specifically, the Eastern, Central, and Southern regions) have achieved the 2025 target. Significant determinants of low cervical cancer screening coverage among Chinese women encompassed lower educational attainment, unemployment status, limited household income, lack of health insurance coverage, and absence of health check-ups (P<0.05 for all comparisons).

      Conclusions: Intensified efforts are needed to implement the Action Plan to Accelerate Elimination of Cervical Cancer, particularly in rural areas. Additionally, enhanced health education and service provision should target women of lower socioeconomic status to promote their active participation in screening programs.

    • Cervical cancer is the second most common cancer in women of reproductive age worldwide, particularly in developing countries (1). Globally, an estimated 662,044 cases (age-standardized incidence rate, ASIR: 14.12/100,000) and 348,709 deaths (age-standardized mortality rate, ASMR: 7.08/100,000) from cervical cancer occurred in 2022, representing the fourth leading cause of cancer morbidity and mortality in women. Notably, China accounts for 23% of global cases and 16% of deaths (2). To address this significant global burden, the World Health Organization (WHO) launched the Global Initiative for Accelerated Elimination of Cervical Cancer in 2020, establishing national 90-70-90 targets for 2030, including screening 70% of women aged 35–45 years at least once in their lifetimes (3). In China, the National Public Health projects for cervical and breast cancer screening among women of eligible aged 35-64 years were initiated in 2009. Subsequently, in 2023, the Chinese central government released the Action Plan to Accelerate the Elimination of Cervical Cancer (2023–2030), setting screening coverage targets for women of appropriate age at 50% by 2025 and 70% by 2030 (4). However, our previous studies have indicated that cervical cancer screening rates in China remain suboptimal (5-6). The present study utilizes the latest nationally and provincially representative survey data to estimate screening coverage across Chinese mainland and analyze key sociodemographic and geographic determinants through logistic regression models based on complex sampling design. Our findings suggest that China as a whole have already achieved the 2025 target of screening 50% of women aged 35–64 years by 2024. Nevertheless, significant gaps remain in cervical cancer screening coverage to meet the 2030 target in rural areas and northeastern China. The study further demonstrates that women living in rural areas and those with low income, limited education, or unemployment are less likely to access cervical cancer screening services, thus requiring enhanced governmental attention and intervention.

      This study utilized data from a national and provincial representative survey conducted in 2023–2024 to estimate current cervical cancer screening rates among adult women in China. Participants aged 18 years and above were selected from 298 districts/counties across all 31 provincial-level administrative divisions (PLADs) through a multi-stage and cluster randomized sampling method. The sampling methodology for survey districts/counties and participants has been described elsewhere (7-8). Trained local health staff conducted interviews using computer-assisted personal interviewing (CAPI). Female participants were asked about their history of cervical cancer screening, including the month and year of their most recent screening, if applicable. Among 198,303 adults selected for interview, 188,388 completed the survey, yielding a 95.0% response rate. We excluded 82,130 male participants, 196 female participants younger than 20 years, and 9,243 female participants with missing sociodemographic data or unclear responses regarding cervical cancer screening history, resulting in a final analytical sample of 96,819 female participants. The ever-screening rate was defined as the percentage of individuals in the total population who had undergone at least one screening in their lifetime. We calculated the percentages of participants screened within various intervals: previous 1 year, previous 2 years, previous 3 years, previous 5 years, and ever in lifetime. Design-based multivariate logistic regression analysis was employed to identify predictors of ever-screening uptake among women aged 35–64 years. Standard errors (SE) were estimated using Taylor linearization with finite population correction. Statistical significance was determined using two-sided P<0.05. All results were weighted using weights that incorporated multistage sampling weight, non-response weight, and post-stratification weight based on the seventh national census (2020) population to ensure representativeness at both national and provincial levels. All statistical analyses were performed using SAS (version 9.4, SAS Institute Inc., Cary, USA).

      The final analysis encompassed 96,819 female participants aged 20 years and above. Among these participants, 48.2% resided in urban areas, 10.1% held college degrees, and 39.0% had undergone health examinations within the previous three years (Table 1).

      Characteristics No. of participants (N=96,819) Proportion (%)
      Age group (years)
      20–24 1,260 1.3
      25–34 5,968 6.2
      35–44 10,304 10.6
      45–54 19,219 19.9
      55–64 27,965 28.8
      65–74 24,765 25.6
      ≥75 7,338 7.6
      30–49 21,544 22.3
      35–64 57,488 59.4
      Residence
      Urban 46,634 48.2
      Rural 50,185 51.8
      Geographic region
      Northern 14,149 14.6
      Northeastern 9,371 9.7
      Eastern 24,626 25.4
      Central 12,390 12.8
      Southern 9,583 9.9
      Southwestern 14,603 15.1
      Northwestern 12,097 12.5
      Education
      Primary or less 51,592 53.3
      Secondary 24,615 25.4
      High 10,835 11.2
      College or above 9,777 10.1
      Household income per capita (CNY)
      Q1 (<7,500) 16,649 17.2
      Q2 (7,500–15,999) 18,616 19.2
      Q3 (16,000–29,999) 15,630 16.2
      Q4 (≥30,000) 19,300 19.9
      Don’t know/refused 26,624 27.5
      Employment status
      Employed 57,249 59.1
      Housework 24,932 25.8
      Retired 4,414 4.6
      Unemployed 10,224 10.5
      With health insurance coverage
      No 2,310 2.4
      Yes 94,509 97.6
      Self-assessed health status
      Poor or fair 51,941 53.6
      Good 44,878 46.4
      Have health examination in the previous 3 years
      Yes 37,729 39.0
      No 59,090 61.0
      Abbreviation: CNY=Chinese Yuan.

      Table 1.  Sociodemographic characteristics of female participants aged 20 and above in the survey in China, 2023–2024.

      In 2023–2024, 36.8% [95% confidence interval (CI): 35.5%, 38.1%] of Chinese adult women had undergone cervical cancer screening at least once in their lifetime. The ever-screening rates were 52.6% (95% CI: 50.8%, 54.4%) among women aged 30–49 years, 57.9% (95% CI: 55.9%, 60.0%) among women aged 35–44 years, and 51.5% (95% CI: 49.7%, 53.3%) among women aged 35–64 years (Table 2). The highest ever-screening rate was observed in the 35–44 age group, with rates declining to 4.7% among women aged 75 years and older. According to the data, 35.2%, 32.7%, and 24.2% of women had undergone cervical cancer screening at least once in the previous 5 years, the previous 3 years, and the previous year, respectively. Across all age groups and screening intervals, screening coverage was consistently higher among urban women compared to those living in rural areas (Table 2).

      Characteristics Coverage (%) (95% CI)*
      Screening ever in lifetime Screening in the previous 5 years Screening in the previous 3 years Screening in the previous year
      Total 36.8 (35.5, 38.1) 35.2 (34.0, 36.5) 32.7 (31.5, 33.9) 24.2 (23.2, 25.2)
      Age group (years)
      20–24 7.5 (5.5, 9.4) 7.4 (5.4, 9.3) 7.0 (5.1, 8.9) 5.5 (3.6, 7.4)
      25–34 32.7 (30.5, 34.9) 32.2 (30.0, 34.4) 30.4 (28.2, 32.6) 22.5 (20.5, 24.4)
      35–44 57.9 (55.9, 60.0) 56.6 (54.6, 58.7) 53.3 (51.3, 55.3) 40.6 (38.6, 42.6)
      45–54 56.2 (54.1, 58.4) 54.0 (51.8, 56.2) 50.0 (47.9, 52.2) 36.9 (35.0, 38.8)
      55–64 38.0 (36.0, 40.0) 35.2 (33.3, 37.2) 31.9 (30.1, 33.8) 22.9 (21.4, 24.5)
      65–74 12.6 (11.7, 13.5) 10.2 (9.3, 11.1) 8.7 (7.9, 9.5) 5.9 (5.3, 6.5)
      ≥75 4.7 (3.8, 5.6) 3.5 (2.7, 4.4) 3.2 (2.4, 4.0) 2.6 (1.9, 3.3)
      30–49 52.6 (50.8, 54.4) 51.3 (49.5, 53.0) 48.2 (46.5, 49.9) 36.8 (35.3, 38.3)
      35–64 51.5 (49.7, 53.3) 49.4 (47.7, 51.2) 45.9 (44.2, 47.5) 34.0 (32.6, 35.4)
      Urban 38.8 (37.1, 40.4) 37.1 (35.5, 38.8) 34.5 (33.0, 36.1) 25.6 (24.3, 26.9)
      30–49 53.8 (51.6, 56.1) 52.3 (50.1, 54.5) 49.4 (47.2, 51.5) 37.7 (35.8, 39.7)
      35–44 59.0 (56.5, 61.5) 57.6 (55.0, 60.1) 54.3 (51.8, 56.8) 41.1 (38.6, 43.5)
      35–64 53.3 (51.1, 55.4) 51.1 (48.9, 53.3) 47.4 (45.3, 49.5) 35.1 (33.3, 36.9)
      Rural 33.1 (31.3, 34.9) 31.7 (29.9, 33.4) 29.3 (27.6, 30.9) 21.6 (20.1, 23.2)
      30–49 49.8 (47.4, 52.2) 48.7 (46.4, 51.1) 45.5 (43.2, 47.8) 34.6 (32.3, 36.8)
      35–44 55.2 (52.4, 58.0) 54.2 (51.5, 57.0) 50.9 (48.2, 53.7) 39.3 (36.5, 42.2)
      35–64 48.2 (45.7, 50.7) 46.4 (43.9, 48.9) 43.1 (40.7, 45.4) 32.1 (29.9, 34.2)
      Abbreviation: CI=confidence interval.
      * Screening rates are all weighted percentages.

      Table 2.  Cervical cancer screening coverages in women aged 20 years and above by age groups in China, 2023–2024.

      Lower cervical screening rates among women aged 35–64 years were observed in those living in western China, those with less education (40.2%; 95% CI: 38.0%, 42.3%), those in the lowest income bracket (44.6%; 95% CI: 42.1%, 47.1%), those without health insurance (24.3%; 95% CI: 20.4%, 28.3%), and those without health examinations during the past 3 years (38.8%; 95% CI: 36.9%, 40.8%). Regional data indicated that three regions (specifically, the Eastern, Central, and Southern regions) had achieved the 50% screening target, followed by the Southwestern region with a screening rate of 49.8%. In contrast, the Northeastern region exhibited substantially lower screening coverage, remaining below 40% (Table 3).

      Characteristics % (95% CI) OR (95% CI)* P
      Geographic region
      Northern 43.4 (40.5, 46.3) 1.00(Ref) 0.002
      Northeastern 33.8 (27.5, 40.2) 1.69(1.22, 2.36) 0.002
      Eastern 58.8 (55.9, 61.6) 2.85 (2.05, 3.96) <0.001
      Central 58.1 (53.0, 63.1) 3.27 (2.26, 4.73) <0.001
      Southern 50.9 (44.1, 57.7) 2.36 (1.62, 3.44) <0.001
      Southwestern 49.8 (47.0, 52.6) 2.65 (1.90, 3.70) <0.001
      Northwestern 45.5 (40.5, 50.5) 1.87 (1.26, 2.77) <0.001
      Education
      Primary or less 40.2 (38.0, 42.3) 1.00(Ref)
      Middle 54.6 (52.4, 56.8) 1.87 (1.73, 2.01) <0.0001
      High 55.4 (52.6, 58.3) 1.87 (1.70, 2.07) <0.0001
      College or above 65.3 (61.8, 68.8) 2.46 (2.14, 2.84) <0.0001
      Household income per capita (CNY)
      Q1 (<7,500) 44.6 (42.1, 47.1) 1.00(Ref)
      Q2 (7,500–15,999) 50.2 (47.9, 52.6) 1.22 (1.10, 1.35) <0.0001
      Q3 (16,000–29,999) 55.3 (52.6, 58.1) 1.37 (1.22, 1.53) 0.0009
      Q4 (≥30,000) 58.8 (56.3, 61.2) 1.34 (1.20, 1.50) <0.0001
      Don’t know or refused 46.3 (43.9, 48.6) 0.96 (0.86, 1.08) 0.496
      Employment status
      Employed 53.8 (51.8, 55.8) 1.00 (Ref) <0.0001
      Housework 46.7 (44.3, 49.0) 1.57 (1.37, 1.78) <0.0001
      Retired 43.9 (39.3, 48.5) 1.47 (1.26, 1.72) 0.277
      Unemployed 48.3 (44.3, 52.2) 1.12(0.91, 1.38)
      With health insurance coverage
      No 24.3 (20.4, 28.3) 1.00(Ref)
      Yes 52.1 (50.3, 53.8) 2.70 (2.15, 3.40) <0.0001
      Self-assessed health status
      Good 50.1 (48.1, 52.1) 1.00(Ref)
      Poor or fair 52.9 (51.1, 54.7) 1.21(1.11, 1.25) <0.0001
      Have health examination in past 3 years
      No 38.8 (36.9, 40.8) 1.00(Ref)
      Yes 61.8 (60.0, 63.6) 2.17 (2.03, 2.32) <0.0001
      Abbreviation: OR=odds ratio; CI=confidence interval.
      *OR, CI, and P were calculated using ever screened rates.

      Table 3.  Multivariable logistic regression analysis of cervical cancer screening rates by sociodemographic factors among women aged 35–64 years in China, 2023–2024.

      Multivariate logistic regression analysis revealed that, compared to women without health insurance, having health insurance was strongly associated with an increased likelihood of screening uptake [odds ratio (OR): 2.70; 95% CI: 2.15%, 3.40%]. Similarly, having undergone a health examination in the previous 3 years was also associated with a significantly higher likelihood of screening (OR: 2.17; 95% CI: 2.03%, 2.32%) (Table 3).

    • Analysis of the current study demonstrates that in 2023–2024, 36.8% of women aged 20 years and above in China have undergone cervical cancer screening at least once in their lifetime. For women aged 30–49 years and 35–64 years, the 2025 target of 50% cervical cancer screening coverage has been surpassed. Nevertheless, screening uptake remains suboptimal, particularly in rural areas, certain PLADs, and among women of lower socioeconomic status.

      Since the inception of China’s first national free cervical cancer screening program for rural women aged 35–64 years in 2009, the country has achieved remarkable progress in improving screening rates through a comprehensive approach combining nationwide screening initiatives, public awareness campaigns, and technological advancements (4). This study demonstrates that these concerted efforts have yielded significant results. The screening coverage for women aged 35–64 years has increased substantially from approximately 36.8% in 2018 (5) to 51.5% in 2023–2024. More than half of women aged 30–49 years have undergone at least one screening in their lifetime or within various screening intervals, exceeding the worldwide average screening rate reported in 2019 (9). However, a considerable disparity remains when compared to screening coverage in developed nations (e.g., 87% in the United States, 88% in Canada) (9-10). Although more than 57% of women aged 35–44 years have been screened at least once, this coverage still falls substantially short of both the national and WHO 2030 targets.

      A particularly encouraging finding from this study is that half of the regions in Chinese mainland have already surpassed the 2025 screening rate target ahead of schedule. Five years ago, only 3 PLADs had achieved the 50% target, and screening rates in 12 PLADs were below 40% (4). This marked improvement underscores the effectiveness of implementing the free national screening program across diverse geographical regions.

      This study was subject to at least two limitations. First, while the CAPI methodology reduced recall bias, it did not completely eliminate this potential source of error. Second, as this investigation was not specifically designed to assess cervical cancer screening, the questionnaire’s limited scope precluded the inclusion of questions addressing practical barriers or individual reasons for non-participation in screening programs.

      In summary, based on nationally and provincially representative survey data from 2023–2024, we present the most current estimates of cervical cancer screening rates across mainland China. Overall, 51.5%, 49.4%, 45.9%, and 34.0% of women aged 35–64 years have undergone screening at least once in their lifetime, and within the previous 5 years, 3 years, and 1 year, respectively. For the target population of women aged 35–64 years, the overall screening rate has reached the 2025 target, though this achievement is primarily driven by urban participation, with rural areas still showing a modest gap. To bridge the remaining disparities and meet both National and WHO targets for 2030, sustained policy and financial support for cervical cancer screening services is essential. Health education and outreach efforts should specifically target recommended age groups, while accessibility to health services requires strengthening in rural areas and northeastern regions.

    • We would like to thank the participants, project staff, and diligent provincial and local staff of the CDCs for their participation and contributions.

  • Conflicts of interest: No conflicts of interest.
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