Retrospective Study
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World J Gastroenterol. Jul 7, 2014; 20(25): 8209-8214
Published online Jul 7, 2014. doi: 10.3748/wjg.v20.i25.8209
Colorectal cancer mortality in Inner Mongolia between 2008 and 2012
Ke-Peng Xin, Mao-Lin Du, Zhi-Yue Liu, Wen-Rui Wang, Yong-Gang Qian, Li Liu, Yun-Fei Lv, Juan Sun
Ke-Peng Xin, Mao-Lin Du, Zhi-Yue Liu, Juan Sun, Department of Public Health, Inner Mongolia Medical University, Hohhot 010110, Inner Mongolia Autonomous Region , China
Wen-Rui Wang, Yong-Gang Qian, Li Liu, Yun-Fei Lv, Inner Mongolia Center for Disease Control and Prevention, Hohhot 010110, Inner Mongolia Autonomous Region, China
Author contributions: Du ML and Sun J designed the research; Liu ZY, Wang WR and Qian YG collected the data; Liu L and Lv YF analyzed the data; Xin KP wrote the manuscript.
Supported by Inner Mongolia Autonomous Region Colleges and Universities of Science and Technology Research Projects, No. NJZY13415; Inner Mongolia Medical University Technology Million Project, No. NY2011BW006; Natural Science Foundation of Inner Mongolia in China, No. 2013MS1124
Correspondence to: Juan Sun, PhD, Professor, Department of Public Health, Inner Mongolia Medical University, Hohhot 010110, Inner Mongolia Autonomous Region, China. cnsunjuan@aliyun.com
Telephone: +86-471-6653197 Fax: +86-471-6653197
Received: December 27, 2013
Revised: January 27, 2014
Accepted: April 2, 2014
Published online: July 7, 2014
Abstract

AIM: To determine the extent of colorectal cancer (CRC) mortality and the association between demographic characteristics and CRC mortality in Inner Mongolia.

METHODS: Data were collected from the Death Registry System, maintained by the Inner Mongolia Centers for Disease Control and Prevention, from 2008 to 2012. Deaths were classified according to the International Classification of Disease, 10th Revision. Years of life lost, average years of life lost (AYLL), and mortality were calculated over the five years between 2008 and 2012. A conditional logistic regression model was used to analyze the association between marital status, occupational status, education level, area of residence, and the risk of CRC.

RESULTS: The AYLL of CRC was 17.39 years. The average mortality of CRC was 5.6/100000. People living in urban areas and having a higher education level had a significantly higher risk of CRC (OR = 1.74 and 95%CI: 1.29-2.35, P < 0.001 and OR = 2.39, 95%CI: 1.76-3.25, P < 0.001, respectively). People who were employed had a lower risk of CRC (OR = 0.64, 95%CI: 0.48-0.86, P = 0.003). The mortality of CRC was positively correlated with the education level (P < 0.001). No statistically significant association was observed between marital status and CRC risk (P = 0.259).

CONCLUSION: Living in urban areas, higher education level and unemployment are associated with CRC mortality in Inner Mongolia.

Keywords: Colorectal cancer, Average years of life lost, Mortality, Education level

Core tip: In this article, we used the years of life lost (YLL), average years of life lost (AYLL) and mortality to measure the severity of colorectal cancer (CRC) death. The YLL and AYLL can directly reflect the severity of CRC to life lost. Some demographic characteristics such as marital status, occupation, education level and area of residence, which may be risk factors for CRC, are explored. As a result of this study, living in urban areas, having a higher education level and unemployment are risk factors for CRC mortality.