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