• Korean Journal of Health Education and Promotion
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• v.21 no.3
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• pp.179-193
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• 2004

The potential contribution of the internet and mobile phone to smoking cessation seems huge, given that a majority of Koreans now use internet and have mobile phones. The Korean Ministry of Health and Welfare developed and has been offering an internet-based smoking cessation program from the January, 2002 and a mobile-based program from the April, 2004. Despite the anticipated effectiveness of internet and mobile-based smoking cessation programs, there is little empirical evidence regarding the efficacy of both types of programs. Therefore, this study intended to evaluate the effectiveness of an internet and a mobile-based smoking cessation program and to provide the basic database for the development of effective smoking cessation strategies for the health promotion for the whole nation. Cessation and satisfaction data were obtained from the 434 participants in both programs. The data were analysed for the comparison of quit-smoking rate and the degree of satisfaction between an internet smoking cessation program and a mobile smoking cessation program. The main results of this study were as follows: 1. For the internet program participants, there were statistically significant differences in cessation rate by gender(P<0.05) and age(P<0.01). In contrast, none of general characteristics provided statistically significant differences in cessation rate for the mobile program participants. 2. For the internet program participants, smoking related characteristics(average smoking amount and the reasons for smoking) didn't have an effect on smoking cessation. But, for mobile program participants, there was a statistically significant difference in cessation rate by the reasons for smoking(P<0.05). 3. The cessation rate was 31.9%(abstinence for the previous 30 days) for internet program participants and 17.8% for mobile program participants.

• Journal of Preventive Medicine and Public Health
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• v.43 no.3
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• pp.193-204
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• 2010

Objectives: The objective of this study was to analyze the causal relationship between smoking and depression using longitudinal data. Methods: Two waves of the Korea Welfare Panel collected in 2006 and 2007 were used. The sample consisted of 14 426 in 2006 and 13 052 in 2007 who were aged 20 and older. Smoking was measured by smoking amount (none/$\geq$ two packs). Depression was defined when the summated CESD (center for epidemiological studies depression)-11 score was greater than or equal to 16. The causal relationship between smoking and depression was tested using logistic regression. In order to test the causal effect of smoking on depression, depression at year 2 was regressed on smoking status at year 1 only using the sample without depression at year 1. Likewise, smoking status at year 2 was regressed on depression at year 1 only using those who were not smoking at year 1 in order to test the causal effect of depression on smoking. The statistical package used was Stata 10.0. Sampling weights were applied to obtain the population estimation. Results: The logistic regression testing for the causal relationship between smoking and depression showed that smoking at year 1 was significantly related to depression at year 2. Smoking amounts associated with depression were different among age groups. On the other hand, the results from the logistic regression testing for the opposite direction of the relationship between smoking and depression found no significant association regardless of age group. Conclusions: The study results showed some evidence that smoking caused depression but not the other way around.

• Environmental Analysis Health and Toxicology
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• v.18 no.4
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• pp.237-242
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• 2003

Single cell gel electrophoresis (SCGE) was used to the experiment with the variation on the amount of smoking and low dose radiation exposure to find how much the Lymphocyte DNA was damaged, and especially for whom smoke a lot(about 20 or more than 20 cigarettes a day) it was found to be highly damaged. While, the damage of 'not more than 20 cigarettes a day' was found to be not so much significant as like for whom smoke about or more than 20 cigarettes a day And, according to the different amount of the radiation exposure, the Lymphocyte DNA was found to be considerably damaged for 0-13m Sv (P<0.01), it was not able to prove the relationship between the DNA damage and the radiation exposure.

• The Journal of the Korea Contents Association
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• v.17 no.7
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• pp.622-633
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• 2017

The study was conducted to compare the factors affecting smoking quit attempts according to the amounts of smoking in adolescent smoker. The data were derived from the 12th Korea youth risk behavior web-based survey 2016 in Korea and analyzed using the IBM SPSS statistics version 21.0 software package considering complex samples analysis. The subjects were 4,012 adolescents smokers, Of these, 78.4% of the general smoker who smoke less than 10 cigarettes a day and 21.6% of the heavy smoker who smoke more than 10 cigarettes a day. As a logistic regression, vigorous physical activity, depression, smoking initiation time, friends smoking, smoking cessation education, and non-smoking promotion were associated with significantly smoking quit attempts in general smoker, vigorous physical activity, friends smoking, smoking cessation education, and non-smoking promotion were associated with significantly smoking quit attempts in heavy smoker. Based on the results, they were taken a baseline data for developing adapted smoking quit education program which were succeed effectively in adolescent smokers.

• Korea Journal of Hospital Management
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• v.22 no.4
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• pp.16-23
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• 2017

Purposes: Despite the positive health effects of both smokers and non-smokers, the non-smoking area policy is being negatively evaluated because of the vague fears of declining restaurant sales. The purpose of this study is to analyze the changes in sales of general restaurants(including liquor stores) and other restaurants that are considered to have the most applications of smoking cessation policy among the smoking facilities, and to examine the economic impact of the designation and expansion policies of non-smoking areas. Methodology: This study used the wholesale and retail trade survey data of the Korea National Statistical Office from 2011 to 2014 and analyzed 31,577 restaurants excluding missing values. For statistical analysis, t-test, ANOVA and Difference-in-differences(DID) models were used and the interaction term of area and year was entered. Findings: As the non-smoking area policy had been designated and expanded from December 2012 to December 31 2013, high restaurant sales in 2012 declined sharply in 2013. However, despite the expanding of the no-smoking area from January 1 2014 through December 31 2014, restaurant sales slightly recovered in 2014. In the case of other restaurants, there is no significant change in sales since the start of the policy in 2013. Practical Implications: The decline in restaurant sales due to the designation and expansion of non-smoking areas is temporary and can not be sustained over the long term. This result can be used to positively suggest negative perceptions of the designation and expansion policy of non-smoking areas. Also, this result can contribute to health promotion and smoking cessation policies by protecting non-smokers from the risk of secondhand smoking exposure and inducing smokers to decrease smoking rate and smoking amount.

• Korean Journal of Health Education and Promotion
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• v.26 no.2
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• pp.25-33
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• 2009

Objectives: Smoking is related to periodontal disease and periodontal therapy. So the aim of this study was to investigate the effects of professional tooth cleaning and plaque control instruction (PT & PCI) for smoking behavior. Methods: A total of 151 adults were investigated using the O'Leary Plaque Index (PI), $L\ddot{o}e$ & Silness gingival index (GI) and the number of sextants possessing periodontal pocket (SPP). And adults were given a through dental scaling and Watanabe method for dental plaque control. Follow up examination were conducted after 3 months and compared the pre and post- status. The collected data were analyzed with t-test, paired t-test and one-way analysis of variance. Results: Regardless of smoking behavior, improving effects were identified after PT & PCI on PI, GI and SPP in the whole population. However, the effects of GI improvement were significant in the smoking group alone; those of PI improvement were most significant in the non-smoking group; and those of SPP improvement were more significant in non-smoking and pre-smoking groups than in the smoking group. The shorter period of smoking and the smaller amount of smoking, the greater effects of PT & PCI by smoking-related characteristics. Conclusion: Smoking cessation instruction should necessarily be included in oral health education in that smoking is an important factor to consider in prevention of periodontal diseases and periodontal therapies.

• Journal of Korean society of Dental Hygiene
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• v.18 no.5
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• pp.621-630
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• 2018

Objectives: The purpose of this study was to investigate the smoking status and related factors among adolescents in Korea. Methods: We used data from the 5-7th Korea National Health and Nutrition Examination Survey. The distribution of smokers and smoking status according to general characteristics was analyzed using complex chi-square tests. Multiple logistic regression was used to analyze the relationship between smoking experience and general characteristics by calculating the 95% confidence intervals. Results: There were 618 subjects who had experience smoking one or two puffs, the starting age of one or two puffs on smoking was 14.37 years old, the number of smoking days per month was 12.42 days, and the amount of smoking per day in a month was 7.59. Gender, residential area, income level, drinking experience, subjective health status, perceived stress level, continuous depression for more than 2 weeks, suicidal thoughts within a year, and age were significantly related to smoking experience. Conclusions: It is necessary to understand the smoking behavior of adolescents. It is important to lower the smoking rate among adolescents through the development and operation of systematic smoking prevention and smoking cessation policies at the national level, as well as the efforts of youth themselves to quit smoking.

• Korean Journal of Adult Nursing
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• v.17 no.1
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• pp.68-76
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• 2005

Purpose: The purpose of the study was to investigate the level of cigarette smoking and alcohol consumption in men with Diabetes Mellitus and to examine the relationships among those variables. Method: The subject consisted of 152 adult men with diabetes mellitus. Q-F methods and FTQ was used to measure the level of alcohol consumption and nicotine dependency. The amount of smoking was measured by the number of cigarette packs used per week. Results: Prevalence of drinking was 63.6% and in the current drinkers, 34.4% were heavy drinkers. The prevalence of cigarette smoking was 36.2% with a mean of 6.03 packs per week. Twenty percent of the smokers were dependent on nicotine. Subjects who had complications or other diseases drank alcohol more than who had not. There was a positive relationship between the level of smoking and nicotine dependency. Conclusion: Alcohol drinking and cigarette smoking is a serious health problem in men with diabetes. It is necessary to have an educational approach for controlling drinking and smoking in diabetes patients.

• Journal of Korean Academy of Nursing
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• v.31 no.4
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• pp.641-655
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• 2001

Purpose: The purpose of this study was to determine the important factors on juvenile delinquency and to examine relationships between sex, age, the family environment, the personality of adolescents, smoking, and juvenile delinquency. Methods: Data collection was done through questionnaire surveys. The subjects for this study consisted of 1,948 adolescents delinquents : 784, students : 1,164 in Korea, using proportional stratified random sampling method. Statistical methods employed were chi-square, t-test and path analysis. Results: The results of this study were as follows : 1. The delinquent adolescents were reared in a more dysfunctional family environment, and had a higher maladaptive personality than the other student adolescents. 2. The delinquent adolescents showed the larger amount of smoking than the student adolescents. The cause of increased smoking tendency among delinquents simply were 'for social relation', 'for diversion', 'for nicotine addiction', whereas 'for tension relieving' among non-delinquent adolescents. 3. The most powerful contributors on delinquent behavior were antisocial personality tendencies, smoking, sex, strength of parent- child relationships, and the age of the adolescents in this order. Conclusions: Our cross-sectional findings indicate that smoking was one of the most powerful contributing variables to delinquent behavior, but family environment, personality, sex and age of adolescents were also proved to be strong exogenous variables to smoking in adolescents.

• Journal of Life Science
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• v.7 no.4
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• pp.262-269
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• 1997

There are many different views of the opinion that smoking decreased the HDL cholesterol. So this cross-sectional study was attempted to find the influence which smoking, alcohol and weight affect HDL cholesterol. They were two groups;smoking group(409 males) and nonsmoking group(213 males). And HDL cholesterol, triglyceride, and total cholesterol of smoking group were compaired to them of nonsmoking group. Also the variables of age, relative weight, and alcohol were compaired. The HDL cholesterol of nonsmoking group was 47.2$\pm$10.1 mg/dl and the HDL cholesterol of smoking group was 45.5$\pm$10.7mg/dl. So there were no statistical difference. As smoking was increased in amount, HDL cholesterol was decreased slightly. According as the alcohol intake increases, especially only the HDL cholesterol of the moderate alcohol intake(101-200gm/week) group was significantly increased(P<0.05). As relative weight increases, HDL cholesterol were significantly decreased(P=0.007). Smoking was not statistical difference of HDL cholesterol. Moderately alcohol intake group(101-200gm/week) were increased the HDL cholesterol(P<0.05). Only relative weight was statistically decreased the HDL cholesterol(P<0.01). Multiple regression results that relative weight and alcohol were significant variable of the level of HDL cholesterol.