2014
DOI: 10.5993/ajhb.38.6.15
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Smoking Cessation in an Urban Population in China

Abstract: Individual and city level factors are associated with quit intention and smoking cessation among urban-dwelling Chinese smokers. This information should guide smoking cessation programs and inform health policy.

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Cited by 13 publications
(11 citation statements)
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“…This may be a reflection of the fact that cessation products are rarely used in clinics in China. 18 Results from the GHPSS conducted by Warren et al 19 showed that over 50% of the medical students reported they were exposed to second-hand smoke in their homes in 15 of the 48 study sites and over 70% were exposed to second-hand smoke in public places in 29 of the 48 sites. Compared with the above result, the reported tobacco smoke exposure prevalence in living places was lower in our sample of third-year medical/health professional students (19.7%), but the exposure prevalence was slightly higher in public places (54.4%).…”
Section: Discussionmentioning
confidence: 99%
“…This may be a reflection of the fact that cessation products are rarely used in clinics in China. 18 Results from the GHPSS conducted by Warren et al 19 showed that over 50% of the medical students reported they were exposed to second-hand smoke in their homes in 15 of the 48 study sites and over 70% were exposed to second-hand smoke in public places in 29 of the 48 sites. Compared with the above result, the reported tobacco smoke exposure prevalence in living places was lower in our sample of third-year medical/health professional students (19.7%), but the exposure prevalence was slightly higher in public places (54.4%).…”
Section: Discussionmentioning
confidence: 99%
“…Individuals aged 15 years and older, who were permanent residents, were identified within each household. Finally, one eligible participant was randomly selected from each family, with eligibility being determined by birthdate closest to the contact date to ensure equal representation of the sample [16]. …”
Section: Methodsmentioning
confidence: 99%
“…The overall non-participation weights were computed as the product of the household and individual weights (3) post-stratification weights were made by the combination of sex (male, female) and age (<25 year, 25–34, 35–44, 45–54, and 55+) based on estimated distributions of these characteristics from a national survey [23]. The final overall weights were computed as the product of the above three weights [15,16]. …”
Section: Methodsmentioning
confidence: 99%
“…Our analyses were adjusted for such potential individual-level demographic confounders as age, gender, ethnicity, educational level, and occupation, all of which have been shown to be related to smoking and smoking cessation in China (e.g., Gruder et al, 2013;Li et al, 2011;Yang et al, 2014;Yong et al, 2013).…”
Section: Individual-level Independent Variablesmentioning
confidence: 99%