ArticleBMJ open2015
Heavy smoking rate trends and related factors in Korean occupational groups: analysis of KNHANES 2007-2012 data.
Article in BMJ open, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- The effect of long working hours on developing type 2 diabetes in adults with prediabetes: The Kangbuk Samsung Cohort Study.Annals of occupational and environmental medicine · 2022Article
- Prevalence of cigarette smoking and its related factors among Iranian male workers.Medical journal of the Islamic Republic of Iran · 2020Article
- Estimates of the Prevalence, Intensity and the Number of Workers Exposed to Cigarette Smoking across Occupations and Industries in Korea.Journal of Korean medical science · 2019Article
- Factors Related to Smoking Status Among Young Adults: An Analysis of Younger and Older Young Adults in Korea.Journal of preventive medicine and public health = Yebang Uihakhoe chi · 2019Article
- Smoking behavior of males attending the quit tobacco clinics in Bahrain and their knowledge on tobacco smoking health hazards.BMC public health · 2018Article
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Authors and funding
7 authors.
Funding
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Abstract
objectivesThe present study was designed to investigate the smoking and heavy smoking trends and identify possible related factors among Korean male workers from 2007 to 2012 by occupational groups.
methodsThe data were derived from the fourth (2007-2009) and fifth (2010-2012) waves of the Korean National Health and Nutrition Examination Survey (KNHANES). Occupational groups were categorised into three groups, which were non-manual, manual and service and sales groups. Age-adjusted prevalence rates of smoking and heavy smoking (>20 cigarettes/day) in men aged 25-64 years were calculated. Factors associated with heavy smoking were investigated using logistic regression analyses.
resultsSmoking rate in manual workers decreased gradually over time (p for trend <0.0001). Smoking rate was higher in manual than non-manual workers, but the difference reduced over time (p for trend <0.0001). Heavy smoking rate decreased from 2007 to 2012 (p for trend <0.0001). Heavy smoking rate was higher in manual than non-manual workers; however, this difference increased over time. Stress, depressive mood and long working hours (≥60 h/week) were associated with heavy smoking.
conclusionsAntismoking policy should focus on current and heavy smokers. Workplace antismoking programmes should consider working hours and stress, especially in manual workers.
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