INTRODUCTION

Cervical cancer is the fourth most common cancer and the fourth leading cause of cancer-related death among women worldwide.1, 2 Approximately 527,600 women are newly diagnosed with cervical cancer each year with 265,700 cervical cancer deaths annually worldwide.1 Its mortality rate is especially high in developing countries.1, 2 In China alone, it is estimated that 98,900 cervical cancer cases, accounting for approximately 20% of total new cases globally, and nearly 30,500 cervical cancer deaths occur each year.3

Cervical cancer is one of the most preventable forms of cancer. There has also been significant improvement in screening,4,5,6,7,8 diagnosis,9,10,11 treatment,12,13,14,15 and even chemoprevention16,17,18 for cervical cancer. In the past decade, much effort has been made in China to reduce the burden of cervical cancer. Since 2009, free cervical cancer screening has been available in some rural regions in China under government-sponsored programs.19 On the other hand, however, the prevalence of human papillomavirus (HPV) infection remains at a high level in both urban and rural China.20, 21

Our study’s purpose was to examine trends in cervical cancer mortality from 1987 to 2015 in China, among each 5-year age group, comparing urban and rural rates.

METHODS

Data Source

We extracted cervical cancer mortality data in China from 1987 to 2000 from the World Health Organization Cancer Mortality Database (International Agency for Research on Cancer, Lyon, France). Data were coded using International Classification of Disease (ICD-9) classification and tabulated in 5-year age groups (20~, 25~…80~, 85~). In addition, the location (urban or rural) was collected. From 2003 to 2015, cervical cancer mortality data for the same groups were extracted from China Health Statistical Yearbooks using ICD-10 codes. These two databases are operated by the Center for Health Information and Statistics (CHIS) and have been recognized as nationally representative for common cancers.22,23,24 Because mortality in 2001 was not available and 2002 mortality rates were not deemed credible due to the transition from ICD-9 to ICD-10, we imputed the data for these two years by interpolation.

Statistical Analysis

Poisson regression was used to analyze the association between area (urban vs. rural area), calendar year, age (5-year increment in age), and the risk of cervical cancer mortality. As the Lagrange multiplier test showed the data were over-dispersed (p < 0.01), the analysis was corrected by negative binomial regression (SAS Institute, V 9.1, Cary, NC).

Joinpoint regression analysis was used to quantitatively describe the trends of cervical cancer mortality for each 5-year age group (20~, 25~, 30~…80~, 85~) in urban and rural areas, respectively. A maximum of four joinpoints was allowed. The average annual percent changes (AAPC) and associated 95% confidence interval (CI) were calculated to measure the direction and magnitude of trends over the full range of periods between 1987 and 2015 periods. Annual percent changes (APC) and associated 95% CI were calculated to measure the direction and magnitude of trends during each corresponding time interval. These analyses were performed using the Joinpoint Regression Program (Statistical Methodology and Applications Branch, Surveillance Research Program, National Cancer Institute, V.4.5.0.1).

All statistical tests were two-sided with a p value < 0.05 considered significant.

RESULTS

Linear Trend Assessment in All Age Groups

Cervical cancer mortality had a linear decline trend, with an average annual decrease of − 3% (OR = 0.97 each calendar year, 95% CI 0.97~0.98, p < 0.01; Table 1). The mortality rate was higher in urban than in rural areas (OR = 1.30, 95% CI 1.20–1.40, p < 0.01), and mortality rate increased with age (OR = 1.31 for each 5-year increase in age, 95% CI 1.29~1.32, p < 0.01).

Table 1 The Negative Binomial Regression Analysis of Risk Factors for Cervical Cancer Mortality

Trend Analysis Stratified by 5-Year Age Groups

In urban areas, cervical cancer mortality increased for those aged 25–54 years between 1987 and 2015, with AAPCs of 2.12~5.49%. Of note, women aged 35–39 years experienced the highest mortality rates with an AAPC of 5.49%. In contrast, among urban women, those older than 60 years experienced decreasing mortality rates, with AAPCs of − 3.61 to − 5.35% (Fig. 1, Supplement Table).

Figure 1
figure 1

Annual changes in cervical cancer mortality rates for Chinese women from 1987 to 2015, stratified on each 5-year age group and urban/rural area.

In rural areas, the mortality rate decreased in all age groups during the period 1987–2015. The magnitude of decline was smaller in younger than in older women: the AAPCs were − 0.59 to − 2.20% among those aged 30–50 years old, compared to − 3.06 to − 4.33% among those aged > 55 years (Fig. 1, Supplement Table).

DISCUSSION

Our study analyzed cervical cancer mortality trends, stratified by age groups and location (urban vs. rural) from 1987 to 2015. While the overall trend demonstrated a decline in cervical cancer mortality, urban women aged 25–54 have experienced an increase in mortality, up to 5.5% annually, and rural women aged 30–50 have experience a much smaller decline magnitude than older rural women aged > 55 years old.

Compared to the decreasing trends in rural area and in urban older women, the rising trend of cervical cancer mortality in urban younger women is particularly noteworthy. Although we do not have data to explore the underlying reasons for this finding, there are a number of possibilities. In past few decades, China underwent rapid urbanization and women experienced a number of lifestyle changes, including younger age at first sexual intercourse, increased number of sexual partners, and an increase in smoking,25 all of which are associated with higher risk of HPV infection. It is likely that these lifestyle changes are more common in younger urban women than in older urban women or rural women. Given that HPV infection is the most important risk factor for cervical cancer, it is likely that urban younger women experienced higher rates of HPV infection at an earlier age than urban older women and rural women. Indeed, numerous studies have reported a peak of HPV infection in urban Chinese women less than 25 years in age.21, 26,27,28,29,30,31 HPV infection likely explains the rising trend of cervical cancer mortality in urban younger women.

There are two important policy implications from our study. First, there is a need to initiate national programs for vaccinating young Chinese women and men against HPV infection. Administration of HPV vaccine induces durable anti-HPV responses and prevents HPV infection.20, 32 Currently, HPV vaccines of 2- and 4-valent are available in China, and a 9-valent vaccine has been available in parts of China since May 2018. However, awareness and willingness to receive HPV vaccination remain low.33,34,35 Efforts are urgently required to improve Chinese vaccination rates. Secondly, there is the need to improve better utilization of cervical cancer screening in both urban and rural areas. Availability of screening is in a large part affected by the national health care system. Rural women aged 35 to 59 years benefit from a free cervical cancer screening program (the National Cervical Cancer Screening Program in Rural Areas, NCCSPRA) since 2009.19 It is estimated that 11.7 million rural women between 35 and 59 years old from 221 pilot counties accessed this screening program within 3 years after its inception and approximately 10 million annually thereafter. In contrast, cervical cancer screening services have not been widely utilized in urban area in China. In 2010, only 29.1% of urban women reported a history of a Papanicolaou test.36 There may be two possible reasons for the under-utilization of this service in urban China. One may be the low awareness of cervical cancer screening among urban women. Another reason may be that screening services in urban area are provided by hospitals and Maternal and Child Care Centers, which are free to very limited population dependent on the local policy or funding. Greater availability and advertisement of the importance of screening are needed.

A study strength was our examination of mortality rates for each 5-year age group, which enables us to find differential trends between younger and older women. However, our study has several limitations. First, there was large fluctuation in rates in rural areas, because of population mobility and inferior data quality from these areas. In contrast, mortality rates in urban areas were relatively stable. Second, as urbanization progresses in China, classification of urban and rural areas may have changed during the study period for some sampling sites.

In conclusion, we found that cervical cancer is rising at an alarming rate among younger urban women. In rural China, mortality rate is declining with a lower rate in younger than in older women. Measures are urgently needed to control the burden of cervical cancer in these populations.