Abstract

Doc number: 1

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.

Details

Title
Age-period-cohort analysis on the cancer mortality in rural China: 1990-2010
Author
Wang, Peigang; Xu, Chunling; Yu, Chuanhua
Pages
1
Publication year
2014
Publication date
2014
Publisher
BioMed Central
e-ISSN
14759276
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
1474913405
Copyright
© 2014 Wang et al.; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.