Factors influencing cigarette smoking and quantified implications for anti-smoking policy: evidence from South Korea

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

doi:10.1007/s00038-009-0087-x

Cited by 11 publications

(12 citation statements)

References 34 publications

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“…rewarding ourselves. Chung et al mapped the smoking landscape of South Korea in terms of demographics and smoking behavior [9]. They concluded that in knowing peoples smoking habits, appropriate anti-smoking measures could be set, greatly reducing cigarette consumption.…”

Section: -Smoking Habitsmentioning

confidence: 99%

Understanding Individual Differences for Tailored Smoking Cessation Apps

Paay

Kjeldskov

Skov

et al. 2015

Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems

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Finding ways to help people quit smoking is a high priority in health behavior change research. Recent HCI studies involving technologies using specific quitting techniques such as social support and SMS messaging to help people quit have reported some success. Early studies using computer generated print material report significant success of tailored versus non-tailored material, however, there is limited understanding on what aspects of digitally delivered quitting assistance should be tailored and how. To address this, we have conducted an empirical investigation with smokers to identify perceived importance of different types of help when quitting and the potential role of technology in providing such help. We found that people are highly individual in their approach to quitting and the kind of help they regard as relevant to their situation. Our contribution is a collection of empirically derived themes for tailoring smoking cessation apps to individual quitting needs.

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Section: -Smoking Habitsmentioning

confidence: 99%

Understanding Individual Differences for Tailored Smoking Cessation Apps

Paay

Kjeldskov

Skov

et al. 2015

Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems

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“…These suggest higher social economic status (Cho et al 2004, 2006; Khang et al 2009), female gender (Khang and Cho 2006), Christian identification (Chung et al 2009) and marital status among women (Cho et al 2008) are associated with a lower smoking prevalence. The present study identifies behavioral mechanisms subject to interventions by examining family and friends’ modeling and encouragement or discouragement of smoking.…”

Section: Introductionmentioning

confidence: 99%

Gender modifies the relationship between social networks and smoking among adults in Seoul, South Korea

Ayers

Hofstetter

Hughes

et al. 2010

Int J Public Health

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ObjectiveTo evaluate the interaction of gender with social network mechanisms and smoking behaviors in Seoul, South Korea, where smoking is common among men but not women.MethodsDuring 2002, telephone surveys were completed with 500 adults drawn from a probability sample in Seoul. Respondents described their smoking status, smoking rate (number of cigarettes smoked per day) and social networks by assessing who discouraged or encouraged smoking (smoking support) or smoked (smoking models). Multivariable regressions were used for analyses.ResultsWomen encountered significantly less smoking support than men, 88% (95% confidence interval [95% CI], 85–91) versus 70% (95% CI 66–73) net discouragement of smoking in their network. A difference in smoking support from 25 to 75% net discouragement was associated with a 27% (95% CI 9–49) lower probability of smoking among women, significantly stronger (z = 3.18, p < 0.01) than among men who had a 19% (95% CI 8–27) lower probability of smoking. A similar difference in smoking support was associated with male smokers smoking 6.38 (95% CI 0.86–12.30) fewer cigarettes per day, or 2,329 (95% CI 314–4,490) fewer cigarettes per year. The later association could not be observed among women due to the small proportion of female smokers. Smoking models were not significantly associated with any smoking behaviors across genders.ConclusionsSocial network mechanisms were differentially associated with the high smoking prevalence among men and low prevalence among women and should be targeted by interventions tailored to these differences.

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“…Smoking is to have been implicated in the deaths of an estimated 47,684 Koreans, and it is estimated that roughly 21% of deaths was attributable to smoking in (WHO, 2012. The estimated total health costs related to smoking increased from US$324.9 million in 1999 to US$413.7 million in 2003 (Chung, Kim, Lim, Lee, & Cho, 2009). Additionally, the socioeconomic costs of smoking have risen by 60% from 4.4 trillion won (approximately US$3.9 billion) in 2005 to 7.1 trillion won (US$6.3 billion) in 2013 (Lee, Yoon, Baek, Hyun, & Kang, 2015).…”

Section: Introductionmentioning

confidence: 99%

A Qualitative Study of Attitudes towards Smoking and Anti-Smoking Measures among Korean Male Smokers in Australia

Choi¹,

Banwell²

2017

GJHS

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The study aims to explore how Korean male smokers living in Australia talk and feel about smoking and how they have understood and experienced tobacco control policies in Australia-including price increase, display ban, plain packaging, and graphic warning labels. A qualitative study was conducted based on in-depth face-to-face interviews with 8 Korean male smokers aged 23-40 years living in Canberra. Participants discussed social and cultural conditions in Korea under which smoking is practiced and maintained. Smoking as a means of socialising and relaxation were consistently discussed as the main reasons for continued smoking which was deeply embedded in their everyday lives as habit or part of routines. The health risks of smoking were not among the immediate or ultimate considerations influencing participants. Participants commented that price increases had affected them most but other measures had little impact on their smoking behaviours, although they acknowledged their potentials in deterring younger people. Future anti-smoking interventions in Korea should address the significant social and cultural determinants of smoking and acknowledge smokers' own understanding of their smoking and anti-smoking measures. Appreciating smokers' diverse representations of their own smoking and their attitudes towards health and anti-smoking measures would increase acceptance of policies and the probability that they will be successful, leading to positive outcomes.

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Factors influencing cigarette smoking and quantified implications for anti-smoking policy: evidence from South Korea

Abstract: Understanding the country-specific factors affecting smoking behavior and selecting an appropriate anti-smoking measure could greatly reduce smoking participation and cigarette consumption.

Cited by 11 publications

References 34 publications

Understanding Individual Differences for Tailored Smoking Cessation Apps

Understanding Individual Differences for Tailored Smoking Cessation Apps

Gender modifies the relationship between social networks and smoking among adults in Seoul, South Korea

A Qualitative Study of Attitudes towards Smoking and Anti-Smoking Measures among Korean Male Smokers in Australia

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