Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2014 Jan 2:13:1.
doi: 10.1186/1475-9276-13-1.

Age-period-cohort analysis on the cancer mortality in rural China: 1990-2010

Affiliations

Age-period-cohort analysis on the cancer mortality in rural China: 1990-2010

Peigang Wang et al. Int J Equity Health. .

Abstract

Background: Cancer has become a global health problem. China still suffers continuous increasing cancer mortality. To study the trend of cancer mortality in rural China, this paper established an Age-Period-Cohort model to discuss the age effect, period effect and cohort effect on cancer mortality in rural China.

Methods: The data were collected from the "China Health Statistical Yearbook" from 1990 to 2010. Collected data were analyzed by Age-Period-Cohort model and Intrinsic Estimation method.

Results: The age effect on the total cancer mortality represented a V trend. Compared with Group 0-4, Group 5-9 showed 71.87% lower cancer mortality risk. Compared with Group 5-9, Group 75-79 showed 38 times higher cancer mortality risk. The period effect on the total cancer mortality risk weakened firstly but then increased. It increased by 35.70% from 1990 to 2010, showing an annual average growth of 1.79%. The cohort effect on the total cancer mortality risk weakened by totally 84.94% from 1906-1910 to 2005-2010. Three "deterioration periods" and three "improvement periods" were witnessed during this period. The malignant cancer mortality varied similarly with the total cancer mortality, while benign cancer mortality and other cancer mortality represented different variation laws.

Conclusions: Although the total cancer mortality risk is increasing at an accelerated rate, cancer mortality risk in recent born year is decreasing, indicating very important impact of social change on the cancer mortality in rural China.

PubMed Disclaimer

Figures

Figure 1
Figure 1
Age-specific cancer mortality in different years (per 100,000 persons).
Figure 2
Figure 2
Cancer mortality (100,000 persons) variation of different age groups during 1990–2010: 0–39 years old.
Figure 3
Figure 3
Cancer mortality (100,000 persons) variation of different age groups during 1990–2010: 40–84 years old.
Figure 4
Figure 4
Cohort-based variation of age-specific cancer mortality (100,000 persons): 0–39 years old.
Figure 5
Figure 5
Cohort-based variation of age-specific cancer mortality (100,000 persons): 40–84 years old.
Figure 6
Figure 6
Age effect on cancer mortality in rural China.
Figure 7
Figure 7
Period effect on cancer mortality in rural China.
Figure 8
Figure 8
Cohort effect on cancer mortality in rural China.
Figure 9
Figure 9
Estimated Age-Period-Cohort effects on cancer mortality from 1990–2010.
Figure 10
Figure 10
Variation velocity of cohort effect on cancer mortality during 1911–2010. Note: To clearly represent the variation law of cohort effect, the Y-axis of the statistical chart didn’t include all variation velocities of benign cancer mortality.

References

    1. World Health Organization. Global action against cancer - now! World Health Organ. 2005. pp. 2–7.
    1. Ferlay J, Shin HR, Bray F, Forman D, Mathers C, Parkin DM. Estimates of worldwide burden of cancer in 2008: GLOBOCAN 2008. Int J Cancer. 2010;127:2893–2917. doi: 10.1002/ijc.25516. - DOI - PubMed
    1. Mathers CD, Loncar D. Projections of global mortality and burden of disease from 2002 to 2030. PLoS Med. 2006;3:2011–2030. - PMC - PubMed
    1. Jemal A, Center MM, DeSantis C, Ward EM. Global patterns of cancer incidence and mortality rates and trends. Cancer Epidemiol Biomarkers Prev. 2010;19:1893–1907. doi: 10.1158/1055-9965.EPI-10-0437. - DOI - PubMed
    1. Jemal A, Bray F, Center MM, Ferlay J, Ward E, David F. Global cancer statistics. CA Cancer J Clin. 2011;61:69–90. doi: 10.3322/caac.20107. - DOI - PubMed

Publication types

LinkOut - more resources