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Colorectal Cancer Incidence and Mortality Trends and Analysis of Risk Factors in China from 2005 to 2015

Authors Sun C , Liu Y, Huang Y, Li B, Rang W

Received 14 October 2021

Accepted for publication 2 December 2021

Published 20 December 2021 Volume 2021:14 Pages 9965—9976

DOI https://doi.org/10.2147/IJGM.S344448

Checked for plagiarism Yes

Review by Single anonymous peer review

Peer reviewer comments 2

Editor who approved publication: Dr Scott Fraser



Chao Sun,1,2,* Yan Liu,1,2,* Yiman Huang,3 Bang Li,2 Weiqing Rang1

1Hunan Key Laboratory of Typical Environmental Pollution and Health Hazards, School of Public Health, Hengyang Medical School, University of South China, Hengyang, Hunan, People’s Republic of China; 2School of Public Health, Wuhan University, Wuhan, Hubei, People’s Republic of China; 3Department of Public Health, School of Population Medicine and Public Health, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People’s Republic of China

*These authors contributed equally to this work

Correspondence: Weiqing Rang
Hunan Key Laboratory of Typical Environmental Pollution and Health Hazards, School of Public Health, Hengyang Medical School, University of South China, The 28th of Changsheng Road, Hengyang, Hunan, People’s Republic of China
Email [email protected]

Purpose: This study aimed to analyze incidence and mortality trends and risk factors of colorectal cancer (CRC) in China during 2005– 2015.
Materials and Methods: Patient cases were extracted from the Chinese Cancer Registry Annual Report. Joinpoint regression and Poisson regression were applied to analyze incidence and mortality trends and risk factors of CRC. Age-period-cohort model was used to evaluate the age, period and cohort effects on CRC.
Results: The standardized incidence and mortality rate of CRC in China showed a decreasing trend during 2005– 2015. The incidence in men (APC=− 1.22%, P< 0.05) decreased from 2005 to 2015 and decreased in women (APC =− 3.55%, P< 0.05) from 2005 to 2013, then increased during 2013– 2015 (APC =18.77%, P< 0.05). The incidence and mortality in urban areas were higher than those in rural (The incidence in urban: APC =− 0.97%, P< 0.05; rural: APC =1.94%, P< 0.05; the mortality in urban: APC =− 0.67%, P< 0.05; rural: APC =0.29%). For age-specific rates, the incidence begins to increase significantly at 40– 45 age group and reached a peak at 75; the mortality increased significantly at 45– 50. The age effect increased with age in general. The 1920 birth cohort had the highest risk of colorectal cancer incidence and death. Poisson regression showed region, gender and age were independent risk factors of CRC.
Conclusion: The age-adjusted standardized incidence rate (ASIR) and age-adjusted standardized mortality rate (ASMR) of CRC in China during 2005– 2015 were decreasing. A great concern on men, rural areas and people aged over 75 should be aroused to prevent colorectal cancer.

Keywords: colorectal cancer, incidence, mortality, joinpoint regression, poisson regression, age-period-cohort model

Introduction

Colorectal cancer (CRC) is one of the most common malignant tumors in the world, and the incidence and mortality of colorectal cancer has gradually risen in recent years. The incidence of CRC in younger adults (<50 years old) is rising worldwide, which has been at a rate of 1% per annum since mid-1980s and nearly 2 times as high as that in older populations.1 This trend raised clinical concerns that younger adults may have more advanced disease leading to poorer prognosis compared to their older cohort due to lack of screening.2 The distribution of CRC is significantly different in regions all over the world. It mainly occurs in Australia, Europe and North America. In general, the incidence in developed countries or regions is about three times higher than that in less developed areas.3 However, it is increasing in Asia, which cannot be ignored.4–6

In China, the incidence and mortality of CRC showed an increasing trend year by year. According to data from Chinese Cancer Registration in 2014, both the incidence and mortality of CRC were the highest in the eastern region, followed by the central region, and the lowest in the western region. The mortality rate of colorectal cancer in urban areas of China increased significantly from 2002 to 2008 and decreased from 2008 to 2015, while that in rural areas was increasing.7 Studies have shown that family history of CRC and a history of inflammatory bowel disease, liver disease, non-CRC cancer and unhealthy diet habits are significant risk factors for CRC. Specifically, processed meats, animal fats and cholesterol have a positive stimulation on colorectal cancer, while calcium foods, general vegetable, fruit, fiber consumption, soy products, selenium, vitamin and minerals play a protective role. Early colonoscopy may also reduce the odds of CRC.8–10

Although some descriptive studies on CRC have been conducted, few of them analyzed the long-term trend and applied the age-period-cohort model (APC model). This study analyzed the incidence and death trends of colorectal cancer from 2005 to 2015, calculated the annual percentage change (APC) and the average annual percentage change (AAPC) with Joinpoint software, which could avoid the imperfection of traditional linear trends. In our study, Poisson regression was applied due to its advantage of describing the occurrence or death of malignant tumor with minimal probability. Additionally, APC model can independently evaluate age, period and cohort effects, thus providing scientific references, prevention and control measures for future research.

Materials and Methods

Data Sources

The data were obtained from the Chinese Cancer Registry Annual Report, annually published by The National Cancer Center of China in charge of the collection, examination and publication of national cancer registration. The incidence and mortality of different age, gender and region were extracted from the report, of which reliability, completeness and validity have been evaluated.

Statistical Analysis

Joinpoint Regression Model

The joinpoint regression model is often used to analyze the linear characteristics of disease incidence or mortality over time, the inflection point generated in the linear trend, the annual APC and AAPC before and after the inflection point, whether the changes in different periods are statistically significant, and explore possible causes.11,12 This study calculated the incidence and mortality of colorectal cancer in China from 2005 to 2015, as well as APC and AAPC in different observation periods, and explored possible causes. The computational formula can be expressed as:

In the linear model , β is the regression coefficient, y represents the logarithm of disease incidence or mortality, x denotes the independent variable, μ and ε refer to the intercept and random error, respectively. ωi represents the length of each segment in the year range, bi was the slope coefficient.

Poisson Regression Model

Poisson regression13 is a kind of generalized linear regression based on weighted least square or maximum likelihood method. In the generalized linear model, the dependent variable Y obeys the Poisson distribution, the parameter is λ, and the influencing factors are x1, x2, …, xm, then:

The regression coefficient βi denotes the average change of the incidence and mortality of CRC when one of the independent variables (age, region and sex) changes. Then calculate the odds ratio (OR) and P value to judge whether independent variables are protective or risk factors.

Age-Period-Cohort Model

APC model11,14 can analyze the effect of multiple complex factors on individual groups independently, eliminating the interaction of age, period and cohort effects. The model can be expressed as

where M refers to the incidence and mortality of CRC; α, β, γ refer to the effect coefficient of age, period, cohort; and μ, ε refer to the intercept and random error.In this study, patients were classified into 14 age groups (20-, 25-, 30-, 35-, 40-, 45-, 50-, 55-, 60-, 65-, 70-, 75-, 80-, 85-), 3 period groups (2005, 2010, 2015) and 16 cohort groups (1920-, 1925-, 1930-, 1935-, 1940-, 1945-, 1950-, 1955-, 1960-, 1965-, 1970-, 1975-, 1980-, 1985-, 1990-, 1995-). The P value and effect coefficients were calculated to evaluate the age, period and cohort effects.

Results

Specific Standardized Incidence and Mortality Trends by Gender

Trends in total standardized incidence and mortality of colorectal cancer in China from 2005 to 2015 are shown in Figures 1 and 2 and Table 1. For men, both the incidence (APC=−1.22%, P<0.05) and mortality (APC=−1.19%, P<0.05) were on the decline. For women, the incidence declined during 2005–2013 (APC=−3.55%, P<0.05) and increased in 2013–2015 (APC=18.77%, P<0.05). But the mortality of women declined steadily (APC=−2.36%, P<0.05). During this period, the incidence and mortality of men were apparently higher than women.

Table 1 APC and AAPC of Male-Female Standardized Incidence and Mortality of Colorectal Cancer in China from 2005 to 2015

Figure 1 Trend of male-female standardized incidence of colorectal cancer in China from 2005 to 2015.

Note: *Means P<0.05, and the difference is statistically significant.

Figure 2 Trend of male-female standardized mortality of colorectal cancer in China from 2005 to 2015.

Note: *Means P<0.05, and the difference is statistically significant.

Specific Standardized Incidence and Mortality Trends by Region

Trends in total standardized incidence and mortality of colorectal cancer in China from 2005 to 2015 were shown in Figures 3 and 4 and Table 2. In urban areas, the incidence and mortality decreased slowly (ASIR: APC=−0.97%, P<0.05; ASMR: APC=−0.67, P<0.05). However, the incidence in rural areas increased gradually (APC=1.94%, P<0.05) and the urban-rural gap was narrowing. Rural mortality increased slightly.

Table 2 APC and AAPC of Rural–Urban Standardized Incidence and Mortality of Colorectal Cancer in China from 2005 to 2015

Figure 3 Trend of urban-rural standardized incidence of colorectal cancer in China from 2005 to 2015.

Note: *Means P<0.05, and the difference is statistically significant.

Figure 4 Trend of urban-rural standardized mortality of colorectal cancer in China from 2005 to 2015.

Note: *Means P<0.05, and the difference is statistically significant.

Specific Incidence and Mortality Trends by Age

The trend of incidence and mortality by age of colorectal cancer in China from 2005 to 2015 was shown in Figures 5 and 6. The incidence can be roughly divided into four sections: it depicted a slow rise in age group 0–45 and increased rapidly in age group 45–60 over the years then rose continuously in age group 60–75. In the 75 group, all the age-specific incidence showed a downward trend except the year 2008 and 2014. Although the incidence of the age group 75 decreased gradually with the increase in age, it was still higher than that in other age groups and the population aged 75 were the high-risk groups of colorectal cancer. With regard to mortality, the trend can be divided into 2–3 sections. In 2005 and 2007, the mortality of age group 0–59 showed a slow upward trend, and the group 60 had a rapid increase. There were three sections in other years: before the age of 45, the mortality increased slightly and smoothly; then increased gradually in the age group 45–65 and increased rapidly with the age after 65.

Figure 5 Trend of age-specific incidence of colorectal cancer in China from 2005 to 2015.

Note: *Means P<0.05, and the difference is statistically significant.

Figure 6 Trend of age-specific mortality of colorectal cancer in China from 2005 to 2015.

Note: *Means P<0.05, and the difference is statistically significant.

Risk Factors Analysis with Poisson Regression

The risk factors of colorectal cancer incidence in China from 2005 to 2015 are shown in Table 3. The residual deviance and Pearson value was 60,475 and 53,569, respectively, and the degree of freedom was 787. Region, sex and age were independent risk factors for colorectal cancer incidence. In the same age group during the same period, the relative risk of colorectal cancer incidence in rural areas was 1.44 times that of urban areas (95% CI: 1.432~1.450, P<0.001), and men were 1.50 times that women (95% CI: 1.489~1.506, P<0.001). For each additional 5 years of age, the incidence risk of colorectal cancer increased by 44% on average (OR=1.4, 95% CI: 1.439~1.44, P<0.001). The risk of incidence was reduced by an average of 0.06% each year, but the difference was not statistically significant (OR=1.0001, P=0.3).

Table 3 The Risk Factors in Colorectal Cancer Incidence in China from 2005–2015

The risk factors of colorectal cancer mortality in China from 2005 to 2015 are shown in Table 4. The residual deviance and Pearson value were 31,773 and 37,739, respectively, and the degree of freedom was 787. Region, sex and age were independent risk factors for colorectal cancer death. In the same age group during the same period, the relative risk of colorectal cancer death in rural areas was 1.197 times that of urban areas (95% CI: 1.187~1.27%, P<0.001), and men were 1.238 times that women (95% CI: 1.228~1.248, P<0.001). For each additional 5 years of age, the death risk of colorectal cancer increased by 57% on average (OR=1.574, 95% CI: 1.572~1.577, P<0.001). The risk of death increased by an average of 2.11% each year, and the difference was statistically significant (OR=1.02, P<0.001).

Table 4 The Risk Factors in Colorectal Cancer Mortality in China from 2005–2015

The Age-Period-Cohort Effect on Incidence and Mortality of CRC

The result of the APC model is shown in Table 5. The age effect of colorectal cancer incidence and mortality risk increased with advancing age. Research on the incidence of CRC suggested that group aged 20–24 had the least risk of colorectal cancer, and the age effect coefficient is −2.49. The risk of CRC was greatest in the 70–74 age group, and the age effect coefficient was 1.12. The period effect showed that incidence was statistically significant in 2005 and 2015, mortality was statistically significant in 2005. The cohort effect showed that the birth cohort in 1920 had the greatest risk of CRC and the cohort effect coefficient was 1.34. The birth cohort in 1985 had the lowest risk of CRC, and the cohort effect coefficient was −1.08. The birth cohort in 1920 had the greatest death risk of CRC and the cohort effect coefficient was 1.60. People who were born in 1940 had the lowest risk of CRC and the cohort effect coefficient was 0.67.

Table 5 Age–Period–Cohort (APC) Model Analysis Results of Colorectal Cancer Incidence and Mortality in China

Discussion

This study showed that the standardized incidence and mortality trend of CRC in China was gradually decreasing during 2005–2015 but the burden was still serious. Specifically, men were higher than women, rural higher than urban, and the age-specific incidence and mortality tended to increase with age. We tried to compare the result with other studies and find out the possible reasons as follows.

To some extent, the decreasing trend was associated with the publishment of China Cancer Prevention and Control Program (2004–2010)15 issued by China’s Ministry of Health, which declared early diagnosis and treatment as one of the main strategies of cancer prevention. In 2004, the Ministry of Health established 13 demonstration bases of cancer for early detection and treatment, covering 9 provinces. A series of programs of early diagnosis and treatment for cancer were launched successively in the Huaihe River Basin after that, which enhanced people’s awareness of the risk factors and changing their lifestyles to prevent the occurrence of colorectal cancer.

In terms of gender, the incidence and mortality of both men and women were on the decline but women hit a turning point in 2013, then increased rapidly. However, men had a higher risk of CRC incidence and death than women all the time. The same gender difference was seen in previous study in China,16 Canada17 and South Korea.18 Smoking, obesity, alcohol drinking and physical inactivity appeared to be more relevant CRC contributor to men.15,18,19 Commonly, Chinese men smoke more frequently than women.20,21 Furthermore, research results19 showed that the transverse colon length of women was longer than that of men in colonoscopy, leading to a lower sensitivity to colorectal cancer screening in women. Due to the differences in biological and anatomical characteristics of colon between different genders, gender-specific endoscope devices with higher sensitivity need to be developed. Therefore, screening for female colorectal cancer should be the focus of monitoring and prevention of colorectal cancer in the future.

The standardized incidence and mortality of colorectal cancer in urban areas of China were higher than rural areas, and the gap between urban and rural areas gradually narrowed. The disparity between urban and rural areas may be due to uneven distribution of medical resources.22 Most of the high-quality hospitals in China are located in urban areas, thus limited rural population could get suitable treatment for malignant tumors. At the same time, high treatment costs23 also reduce the possibility of rural patients to hospitals. In addition, the awareness of cancer screening in urban areas was stronger than that in rural areas because of the high economic and educational level.15 Therefore, it is easier to detect malignant tumors early, which might lead to higher detection rates in urban areas. Due to much sedentary work and less fiber intake instead of more daily activities like walking in rural populations, obesity and a high body mass index (BMI)24 was associated with the higher risk of CRC. The World Health Organization also pointed out that high-fat diet and excessive intake of animal protein, especially red meat,25 were risk factors for colorectal cancer.

Few studies have applied the APC model to analyze CRC trend in China. With regard to age, there was no significant changes before the age 45 and the incidence and mortality remained stable and low. After that, both of them increased rapidly with age, which was consistent with relevant studies.26,27 The APC model showed that age effect increased with age, and it was an independent risk factor. In particular, the incidence reached the summit at the age of 75. Increasing age effect could also be seen in breast cancer,28 liver cancer,29 and cervical cancer.30 This might be because the elderly kept bad lifestyles for years, accumulated some basic diseases and paid less attention to their health. Comparing the period effects in 2005 and 2015, of which incidence was statistically significant, the risk of CRC incidence increased. This was inconsistent with the economical development and policy advancement. Cohort effects showed people born in 1920s had the highest risk of CRC risk. Poor health conditions and little consciousness of health could be the possible causes.

In order to effectively reduce the incidence and mortality of colorectal cancer in China, it is necessary to further develop and implement comprehensive prevention and control strategies. In primary prevention, the unknown risk factors or causes of colorectal cancer should be actively explored, and publicity and education should also be strengthened to advocate people to maintain good habits and behaviors in their daily life, such as eating more foods rich in dietary fiber,31 calcium32 and vitamin D,33 actively engaging in physical exercise, especially the middle-aged and elderly people. In secondary prevention, we should actively improve the early screening system of colorectal cancer, popularize the knowledge of cancer screening, improve the awareness and the screening rate of colorectal cancer, especially the sensitivity of female colorectal cancer screening programs. Based on the results of this study, the screening should be started at the age of 45 years old in rural areas and 40 in developed areas. Colonoscopy screening is recommended as a routine checkup34 for people who need sedentary jobs because sitting is also an important risk factor for colorectal cancer. In tertiary prevention, improving the medical level of rural areas with insufficient medical resources, providing high-quality treatment conditions and exploring factors related to the prognosis of patients to improve the survival rate of patients were necessary.

This study cited data from the Annual Report of Chinese Cancer Registry Annual Report, which increased reliability and accuracy compared with data from Global Burden of Disease (GBD). In addition, it utilized a variety of statistical methods to analyse incidence, mortality trends and risk factors, of which validity can be assured. Certainly, the period 2005–2015 was a little short for trend analysis. However, the study can still provide scientific references for colorectal cancer prevention and control.

Conclusion

In summary, the ASIR and ASMR of CRC in China during 2005–2015 were decreasing. In addition, region, gender and age were independent risk factors for incidence and mortality of CRC. Specifically, men had a higher risk of colorectal cancer than women and urban areas higher than rural ones even though the disparity was shrinking. Therefore, a great concern on men, rural areas and people aged over 75 years old should be aroused to prevent colorectal cancer. Health education and promotion, good dietary and exercising habits, early diagnosis and detection will be great measures to control the disease.

Abbreviations

CRC, colorectal cancer; APC model, age-period-cohort model; APC, annual percentage change; AAPC, average annual percentage change; OR, odds ratio.

Data Sharing Statement

The data were extracted from the Chinese Cancer Registry Annual Report, annually published by the National Cancer Center of China, of which validity and authority can be ensured.

Consent for Publication

All authors consent to publication.

Acknowledgments

Thank Ms. Li Xiang and Ms. Xu Jieru for providing technical assistance.

Author Contributions

All authors made a significant contribution to the work reported, whether that is in the conception, study design, execution, acquisition of data, analysis and interpretation, or in all these areas; took part in drafting, revising or critically reviewing the article; gave final approval of the version to be published; have agreed on the journal to which the article has been submitted; and agree to be accountable for all aspects of the work.

Funding

The study was funded by the National Natural Science Foundation of China (grant NO. 81673107).

Disclosure

All authors declare no conflicts of interest.

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