T W Hu1, Y W Tsai. 1. School of Public Health, University of California, Berkeley 94720, USA. thu@uclink4.berkeley.edu
Abstract
OBJECTIVES: This study assessed cigarette consumption and its main determinants in rural China. METHODS: A logistic regression model was used to analyze status of smoking, daily amount of smoking, and expense of cigarettes in rural China. RESULTS: Approximately 57.1% of the males and 3.1% of the females were current smokers. The daily amount of smoking among smokers was 15.23 cigarettes, and their annual expenses were 227 yuan. CONCLUSIONS: People in rural China consume fewer cigarettes and are less likely to smoke than those in urban areas. Education and occupation are 2 major factors that determine the likelihood of smoking in rural China.
OBJECTIVES: This study assessed cigarette consumption and its main determinants in rural China. METHODS: A logistic regression model was used to analyze status of smoking, daily amount of smoking, and expense of cigarettes in rural China. RESULTS: Approximately 57.1% of the males and 3.1% of the females were current smokers. The daily amount of smoking among smokers was 15.23 cigarettes, and their annual expenses were 227 yuan. CONCLUSIONS:People in rural China consume fewer cigarettes and are less likely to smoke than those in urban areas. Education and occupation are 2 major factors that determine the likelihood of smoking in rural China.
Authors: Kuiyun Zhi; Jin Huang; Suo Deng; Yongjin Chen; Michael G Vaughn; Zhengmin Qian Journal: Int J Public Health Date: 2016-02-03 Impact factor: 3.380
Authors: Song Guo; Da Fang Chen; Dong Feng Zhou; Hong Qiang Sun; Gui Ying Wu; Colin N Haile; Therese A Kosten; Thomas R Kosten; Xiang Yang Zhang Journal: Psychopharmacology (Berl) Date: 2007-01-06 Impact factor: 4.530