• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.11
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• pp.273-281
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• 2019

The purpose of the study was to analyze smoking impact factors, knowledge about effects of smoking and effects of oral health-related quality of life. The subjects were 165 male dental clinic visitors. The survey was conducted from November to December 2018. The examinations were smoking impact factors, knowledge about effects of smoking on oral health, oral health-related quality of life, and recognition of smoking cessation support in dentistry. Survey data were analyzed using statistical programs of PASW Statistics ver. 18.0. Smoking groups were more stressful than non-smoking groups(13.0, 9.97) and drinking frequency was higher(2/week, 0.96/week)(p<0.05). Smoking had a significant correlation with stress(r= .283, p<0.001) and stress with OHIP(r= -.263, p<0.001). Regression results show that stress and frequency of drinking are significant factors(p<0.05). Smoking cessation support service was recognized by 32.9 %, but experience of service was only 19.4 %. Smoking cessation support of dentistry was answered positively by 65.5 %. The above results reveal the need for stress and drinking control, oral health education, and active support of oral health professionals for smoking cessation.

• Korean Journal of Health Education and Promotion
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• v.35 no.5
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• pp.47-56
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• 2018

Objectives: This study was performed to investigate trends of smoking characteristics and to identify the relationship between smoking characteristics and obesity among military personnel in Korea. Methods: The study participants were 50,680 military personnel who participated smoking cessation clinic from January in 2009 to December in 2017(excluded in 2011). Obesity was defined as body mass index${\geq}25kg/m2$. Smoking characteristics was included cigarettes of smoked per day, age of initial smoking, smoking duration, and nicotine dependence. Binominal logistic regression analysis was performed to confirm the relationship of smoking and obesity among military personnel. Results: The prevalence of obesity of study subjects was 20.4%. The military personnel were more likely to be obese if they who smoked more than 20 cigarettes per day(adjusted OR 2.271, CI 2.027-2.545), who smoked for more than 10 years(adjusted OR 2.046, CI 1.820-2.299), and who smoked their initial smoking at later than 20 years(adjusted OR 1.357, CI 1.223-1.493). Conclusions: Obesity is closely related to cigarettes of smoked per day, age of initial smoking and smoking duration among military personnel. Thus, intervention included both smoking cessation and weight control are necessary for smokers with obese who are interested in losing weight among military personnel.

• Korean Journal of Health Education and Promotion
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• v.24 no.4
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• pp.241-249
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• 2007

Health education aims at behavior change rather than just delivering health knowledge to people. In Korea health education activities in public sector began in 1960 and they were included in the primary prevention program in communities. This article reviewed current health education programs in healthy living practice programs provided by local public health centers in Korea and drew implications for the future role of health education in community setting. Health education has been a core function of the National Health Promotion programs in the nation since the enactment of the National Health Promotion Law in 1995. The National Health Promotion programs are funded by the National Health Promotion Fund which are drawn from tobacco tax. The National Health Promotion programs include healthy living practice programs (smoking prevention and cessation programs, moderate alcohol use programs, physical activity promotion programs, and nutrition programs), chronic disease prevention programs, oral health programs and public hygiene programs. Methods of the National Health Promotion programs include health education, health counseling, health class, health information management, survey and research. Smoking prevention and cessation programs include smoking cessation clinic, smoking cessation education, non-smoking environment program, and non-smoking campaign. Moderate alcohol use programs include alcohol use education, moderate alcohol use campaign, alcohol use counseling, and alcohol free environment programs. Physical activity promotion programs include obesity control, targeted exercise program, and exercise civic group programs. Nutrition programs include nutrition management, obesity management, nutrition education, breakfast eating program, and nutrition counseling and treatment programs. The health education programs in community are not efficient today because there are many overlapping contents and short term goals. Community health education programs needs to be more comprehensive. Workforce development is another big issue at the moment because the National credential program will begin in 2009. Variety of community health education programs should be developed and funded by the national health promotion fund.

• Asian Pacific Journal of Cancer Prevention
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• v.15 no.12
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• pp.4963-4968
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• 2014

Background: We evaluated whether providing health risk appraisal for Koreans (KHRA) in terms of 'health age' during smoking cessation program would effectively help smokers quit smoking or not. Materials and Methods: A total of 332 male smokers aged between 30-65 years old, registered for a smoking cessation program in a public health center in a city, were recruited and underwent a baseline survey from January 2010 to February 2011. They were then prospectively randomized to a conventional counseling group (n=165) or a KHRA group (n=167), and received conventional counseling or KHRA-based counseling for six months. Abstinence rates were identified through carbon monoxide measurement (at the $4^{th}$ and $24^{th}$ weeks) or urinary cotinine level (at the $12^th$ week). Results: The abstinence rate confirmed by exhaled carbon monoxide was significantly higher in the KHRA group (61.1%) than the control group (49.1%) at the $4^{th}$ week (absolute difference 12.0%, 95% CI: 1.4%-22.6%). However, there was no difference in abstinence rates between the two groups at the 12th and 24th weeks. The predicting factors of 24 week's smoking cessation success were age, older than 50 years old (OR 2.02, 95% CI: 1.16-3.52), lower Fagerstr$\ddot{o}$m Test for Nicotine Dependence score less than 4 (OR 1.84, 95% CI: 1.03-3.29), and higher Self Efficacy/Temptation score (OR 1.79, 95% CI: 1.05-3.06). Conclusions: Smoking cessation counseling with KHRA could be effective compared to conventional counseling in the short period of smoking cessation. Further study is needed to evaluate the long-term efficacy of KHRA in tobacco dependence treatment and to establish the indication and target population of this tool.

• Journal of agricultural medicine and community health
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• v.49 no.1
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• pp.37-49
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• 2024

Objectives: This study aimed to explore whether there are differences in smoking status between two regions of Wonju-City and Chuncheon-City, Gangwon State, and to determine whether the experience of smoking cessation programs in the region affects quit attempts. Methods: The study design was a cross-sectional study in which adults aged 19 and older living in two cities were surveyed using a pre-developed mobile app to investigate social capital for smoking cessation, and a total of 600 citizens were participated, including 310 in Wonju-City and 290 in Chuncheon-City. The statistical analysis was conducted using chi-square test and logistic regression analysis. Results: Wonju-City had a higher prevalence of current smoking than Chuncheon-City. Among smoking cessation programs operated by local public health centers, Wonju-City had a lower odds ratio for experience with smoking cessation education than Chuncheon-City (OR=0.52, 95% CI=0.33 to 0.81). When examining the effect of smoking cessation program experience on quit attempts, in Wonju-City, citizens who had completed smoking cessation education and used a smoking cessation clinic were more likely to attempt to quit than those who had not (OR=2.31 and OR=2.29, respectively). In Chuncheon-City, citizens who were aware of smoking cessation support services were 2.26 times more likely to attempt to quit smoking than those who were not, but statistical significance was not reached due to the small sample size. Conclusion: Therefore, healthcare organizations in both regions should develop more practical intervention strategies to increase smokers' quit attempts, reduce smoking rates in the community, and address regional disparities.

• Journal of the Korea Convergence Society
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• v.10 no.9
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• pp.257-264
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• 2019

This study was to investigate the relationship between the smoking status and the number of tooth loss according to the daily average smoking amount of the elderly in Korea using the raw data of the 6th National Health and Nutrition Survey. The study subjects were 4,037 elderly people aged 65 or older. As a result, it was found that 2.35 times more severe heavy smoking in the past, 3.01 times in the current light smoker, 3.27 times in the current heavy smoker, Respectively. This study confirmed that there is a difference in the risk of tooth loss according to the average daily smoking amount. Therefore, in order to increase and maintain the residual teeth as much as possible, it can be suggested as an objective data of smoking cessation treatment at the dental clinic and contribute to motivation.

• 대한예방의학회:학술대회논문집
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• 1998.10b
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• pp.305-306
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• 1998

• Asian Pacific Journal of Cancer Prevention
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• v.15 no.5
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• pp.2383-2391
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• 2014

Tobacco use is described as the single most preventable cause of morbidity and mortality globally, with the World Bank predicting over 450 million tobacco-related deaths in the next fifty years. In India, the proportion of all deaths that can be attributed to tobacco use is expected to rise from 1.4% in 1990 to 13.3% in 2020 of which smoking alone will cause about 930,000 adult deaths by 2010. Many studies have shown that counseling from a health professional is an effective method of helping patients quit the tobacco habit. Tobacco cessation needs to be urgently expanded by training health professionals in providing routine clinical interventions, increasing availability and subsidies of pharmacotherapy, developing wide-reaching strategies such as quitlines, and costeffective strategies, including group interventions. The WHO Framework Convention on Tobacco Control (FCTC) emphasizes the vital contribution of participation of health professional bodies, as well as training and healthcare institutions in tobacco control efforts. Dentists can play an important role in helping patients quit using tobacco. One of the key strategies to reduce tobacco-related morbidity and mortality is to encourage the involvement of health professionals in tobacco-use prevention and cessation counselling. The dental office is an ideal setting for tobacco cessation services since preventive treatment services, oral screening, and patient education have always been a large part of the dental practice.

• Journal of agricultural medicine and community health
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• v.36 no.2
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• pp.87-100
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• 2011

Objectives: This study aimed to identify factors associated with smoking relapse. Methods: The study sample was recruited among subjects who were enrolled in the smoking cessation clinic of a public health center and had succeeded in quitting smoking for at least six months. A total of 159 male subjects were followed via mail survey one year later. The independent variables in the analyses were socio-demographic characteristics, smoking history and behavior, receipt of smoking cessation aids, health behaviors and components of the health belief model (HBM). The dependent variable was smoking relapse assessed one year after quitting. Ordered logit regressions were used to identify factors associated with smoking relapse. Results: The relapse rate of the ex-smokers in our sample was 25.8%, and the occasional smoking rate was 17.0%. Univariate analyses revealed that only factors related to the HBM, such as perceived susceptibility to diseases (p<0.01), perceived severity of diseases (p<0.01), perceived health benefits of not smoking (p<0.01), perceived barriers to quitting smoking due to increasing stress and difficulty in social life (p<0.01), and self-efficacy (p<0.01) were associated with the likelihood of relapse for ex-smokers. Ordered logit analyses yielded two significant factors affecting the likelihood of relapse, the perceived barriers to quitting smoking and self-efficacy. Conclusions: Our results indicate that higher levels of barriers to quitting smoking and lower levels of self-efficacy were significantly related to risk of smoking relapse. These findings may be useful for identifying those at highest risk for relapse and choosing the optimal strategies for prevention of relapse for ex-smokers.

• Journal of Preventive Medicine and Public Health
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• v.41 no.4
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• pp.272-278
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• 2008

Objectives: To compare the health behaviors of widowed women with those of currently married women. Methods: We randomly sampled the subjects from the Jeollanamdo Resident Registration Data and we then selected 2,331 widowed women and 4,775 married women. Well-trained examiners measured the height, weight, blood pressure and abdomen circumference, and the women were interviewed with using a questionnaire. Logistic regression analysis was used to estimate the odds ratios(OR) of the two groups. Results: The smoking rate (OR=2.46; 95% confidence interval [CI]1.65, 3.66) was significantly higher for the widowed women. On the contrary, the awareness rate of a smoking cessation campaign (OR=0.80; 95% CI=0.70, 0.92), a quit tobacco telephone line (OR=0.73; 95% CI =0.61, 0.88) and a quit smoking clinic (OR=0.74; 95% CI=0.62, 0.89) were lower for the widowed women. The rate of receiving a health exam (OR=0.80; 95% CI=0.70, 0.91), the rate of undergoing gastric cancer screening (OR=0.77; 95% CI=0.68, 0.88), breast cancer screening (OR=0.79; 95% CI=0.69, 0.89), cervix cancer screening in the last 2 years (OR=0.81; 95% CI=0.71, 0.92), colon cancer screening in the last 5 years (OR=0.74; 95% CI=0.63, 0.87) were significantly lower for the widowed women. Conclusions: This study revealed that the health behaviors are significantly different between the widowed women and the married women. To improve the health behaviors of the widowed women, further study and research that will investigate the socioeconomic and environmental factors that affect the health behaviors of widowed women will be needed.