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Death and impact of life expectancy attributable to smoking in China, 2013 / 中华流行病学杂志
Chinese Journal of Epidemiology ; (12): 1005-1010, 2017.
Article in Chinese | WPRIM | ID: wpr-736296
ABSTRACT
Objective To analyze the death attributable to smoking and impact of life expectancy in China in 2013.Methods According to the characteristics of different diseases,we calculated the population attributable fractions of different diseases,death and impact of life expectancy which caused by smoking,using direct method (current smoking rate as exposure levels)and indirect method (smoking impact ratio as exposure levels),based on data from both programs of death surveillance and Chinese chronic disease risk factor surveillance of 2013.Results In 2013,smoking caused around 1.59 million deaths which accounted for 17.38% of all deaths in China.Constituent ratio of death caused by smoking in males (23.66%) was much higher than that in females (8.30%).However,in urban areas (17.24%),it was slightly lower than that in rural areas (17.51%).Constituent ratio of death caused by smoking in the eastern regions appeared the lowest (16.81%),with western regions the highest (17.91%).In 2013,lung cancer,COPD and ischemia heart disease were the top three diseases causing deaths that related to smoking,but the top three population attributable fractions were lung cancer,COPD and nasopharyngeal carcinoma in China.In 2013,smoking caused a reduction of 2.04 years of life expectancy loss in China,with males in the western regions the highest (3.05 years).Conclusion Smoking is still an important public health problem in China.Tobacco-control-targeted programs in the heavily involved areas could reduce the number of deaths from related diseases that caused by smoking.

Full text: Available Index: WPRIM (Western Pacific) Type of study: Risk factors Language: Chinese Journal: Chinese Journal of Epidemiology Year: 2017 Type: Article

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Full text: Available Index: WPRIM (Western Pacific) Type of study: Risk factors Language: Chinese Journal: Chinese Journal of Epidemiology Year: 2017 Type: Article