The influence of housing tenure and marital status on smoking in South Korea

Lim, Seungji; Chung, Woojin; Kim, Hanjoong; Lee, Sun-Mi

doi:10.1016/j.healthpol.2009.08.013

Cited by 14 publications

(15 citation statements)

References 44 publications

(61 reference statements)

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“…This is consistent with other studies [34][35][36][37][38] and can be explained by that the better educated one is, the more concerned one would be about health and therefore the lesser the likelihood to smoke.…”

Section: Discussionsupporting

confidence: 93%

Pattern of Smoking Habit and Quit Attempts among Industrial Workers in Kuwait

Gaafar¹

2013

Occup Med Health Aff

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Section: Discussionsupporting

confidence: 93%

Pattern of Smoking Habit and Quit Attempts among Industrial Workers in Kuwait

Gaafar¹

2013

Occup Med Health Aff

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“…Most of the unskilled workers significantly never tried to quit may be due to high stress or being dissatisfied with their work. The present study findings were consistent with that of previous studies in Europe and Asia studies 7,30,31 where it had been hypothesized that lower level occupational groups face more physical and psychosocial stress compared with the white-collar and therefore are more engaged in bad habits, such as smoking/chewing tobacco. The previous study also noted that smoking acts as a coping mechanism to manage stress.…”

Section: Discussionsupporting

confidence: 93%

Potential Predictor of Tobacco Cessation among Factory Workers: A Baseline Data of Worksite Tobacco Cessation Programs in the Central Part of India

Gaikwad

Bhowate²,

Bajad

et al. 2017

The Journal of Contemporary Dental Practice

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Aim: Our study aimed to evaluate the prevalence of tobacco use among factory workers and identify the predicting factors for quitting tobacco use. Materials and methods:In this cross-sectional study, a total of 640 factory workers were included and divided into the quitter group and who had never quit the tobacco habit in the past. Data were collected by standardized and validated questionnaire pro forma, which comprised the demographic profile, smoking history, and Fagerström scale to check the nicotine dependence. Data were analyzed using descriptive analysis and Chi-squares test, whereas logistic regression was used to predict the factor for quitting the tobacco habit. All tests were applied using Statistical Package for the Social Sciences (SPSS) version 17.0. Potential Predictor of Tobacco Cessation among Factory Results:The mean age among the quitters was comparatively low than the never-quit group. Out of 640 participants, the majority of quitters and those who never quit were found to consume smokeless tobacco (232 [93.5]; 288 [73.5]). As per logistic regression analysis, gender of participants, age of starting tobacco use, and frequency of tobacco use can be considered as good predictors to quit smoking/chewing tobacco. Conclusion:The present study found that participants in the quitter group were less dependent on tobacco, and these participants were more likely to quit smoking if behavioral support was provided at the early days of the quitting attempt.Clinical significance: This study's result provides valuable insight into the current tobacco usage and potential predicting factors for quitting tobacco use among factory workers in India. These data can help in developing a policy for the implementation of tobacco cessation programs at the worksite.

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“…Family and social support has been shown to be an effective intervention for improving other health behaviors, such as dietary changes (weight reduction and medication compliance). It remains a proven fact that single or divorced people take more to tobacco consumption as married men receive social and psychological support from their spouses to quit tobacco (Lim et al, 2010;Lim et al, 2013).…”

Section: Resultsmentioning

confidence: 99%