• Journal of Acupuncture Research
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• v.26 no.3
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• pp.93-101
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• 2009

Objectives : This study was conducted to know how different Body mass index(BMI) were, according to age group, drinking, amount of smoking, fast blood sugar. Methods: We measured the Body mass index(BMI) in 5573 male, using Inbody 2.0(Biospace Co. Ltd, Korea), and then we analysed the 4 factors - age group, amount of drinking, smoking, fast blood sugar - which are related to BMI of male. Results: 1. BMI according to age group increased from -30 years group at the lowest to 41-50 years group at the highest and decreased after 51-60 years. 2. BMI according to amount of drinking increased from Nondrinker group(men who don't drink) years at the lowest to Drinker IT group(men who drink more than 4 bottles of Soju(360ml, 21%, distilled liquor) for a week) at the highest. 3. BMI according to amount of smoking increased from Smoker I group(men who smoke 1-10 pieces for a day) at the lowest to Smoker N group(men who smoke more than 31 pieces for a day) at the highest except Nonsmoker group(men who don't smoke). 4. BMI of group that not exceed 110mg/d${\ell}$ in fast blood sugar was lower in the group that exceed 110 mg/d${\ell}$ in fast blood sugar. Conclusions: We analysed the 4 factors - age group, amount of drinking, smoking, fast blood sugar - which are related to BMI of male.

• Journal of Korean Public Health Nursing
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• v.20 no.1
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• pp.39-56
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• 2006

Objectives: To investigate the drinking and smoking habits among the community residents of a city. Methods: We surveyed 1.973 adults from October 1, 2005 to November 16, 2005. The data collected on alcohol drinking habits involved frequency, age of initiation, amount of alcohol consumed, number of attempts to reduce consumption and reasons for reducing it. The data collected on smoking habits involved amount, age of initiation, duration, situations, and the number of attempts to quit smoking. These were analyzed with frequency, percentage, mean, standard deviation, $x^2$-test, t-test and ANOVA. Results: The rate of drinking was 67.4%; 83.1% among males, and 52.5%among females. Among all drinkers, the largest group (29.8%) drank once or twice a week. The mean age of initiation was 21.2 years; 19.9 among males, and 22.8 among females. The average consumed amount was 5.8 glasses; males consumed 7.4 glasses, and females 3.3 glasses. The consumption was the highest among those in fifties. The rate of attempts to reduce drinking was 33.4%, mainly for health reasons. The rate of smoking was 38.0%; 72.4% among males, and 5.5% among females. Among all smokers, the largest group (44.1%) smoked between 11 and 20 cigarettes per day. The mean of the age of initiation was 20.7 years; 20.3 among males, 25.6 among females. The mean smoking duration was 20.9 years; 21.3 years among males, and 16.2 years among females. The main reason for the initial attempt was curiosity. The most common situation for smoking was after dinner. The rate of attempts to quit smoking was 77.1%, mainly out of concern for one's health. Alcohol consumption among smokers was higher than among any other group of nonsmokers. Also, the age of drinking initiation among smokers was lower than among any other group of nonsmokers. Conclusion: This study highlighted the actual data on drinking and smoking habits among community residents. The study can be utilized for creating programs aiming at reducing the consumption of alcohol and tobacco or stopping it altogether. Therefore, it is now possible to assess the indicators for interventions in each population group. Finally, the groups of heavy drinkers and smokers are expected to be given priority for intervention program.

• Journal of Preventive Medicine and Public Health
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• v.37 no.3
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• pp.225-231
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• 2004

Objectives : This study was performed to examine the influence of smoking on the blood cadmium concentration in university students. Methods : The study included 300 university students. A questionnaire interview was used to collect data. The urine cotinine and blood cadmium levels were measured as biological exposure indices. The data were analyzed using t-tests ANOVA and ANCOVA. Results : The median value of blood cadmium concentration was equal in both males and females ($0.8{\mu}g/l$). This level was relatively low in comparison with the reference value suggested by WHO (2001). ANCOVA showed that smoking related variables, urine cotinine and smoking amount, were significantly associated with the blood cadmium level (P=0.004, 0.015). However, the values with regard to traffic related air pollution were not significantly associated with the blood cadmium level. Conclusions : Smoking is an important source of nonoccupational cadmium exposure in young people. The Blood cadmium level is at least 10% higher in active smokers than in passive or nonsmokers. The level of urine cotinine can be used as an indicator of non-occupational exposure of respirable cadmium due to smoking, as there is a good correlation bestween smoking amount and the urine cotinine level.

• Research in Community and Public Health Nursing
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• v.12 no.3
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• pp.716-731
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• 2001

The purpose of this study was to test the effect of a self-efficacy promotion smoking cessation program for middle school students. This program was redesigned on the basis of Shin Sung Rye( 1997)' s Self-Efficacy Promoting Program for this study. The design of this paper was quasi-experimental. equivalent control group pre-post test. time series design. The subjects of this study were 53 smoker adolescents in D Middle School in the city of Busan. The results were summarized as follows: 1) The Hypothesis 1 was accepted: The self efficacy of the experimental group was higher than that of the control group after 1 week (expected efficacy t=2.20, p<.05. expected outcomes t=-2.58. p<.05) 4 weeks after education (expected efficacy t=- .19. p<.001, expected outcomes t=-2.586. p<.05). 2) The Hypothesis 2 was accepted: The amount of smoking of the experimental group was reduced more than that of the control group after 1 week (t=2.05, p<.05) and after 4 weeks (t=2.03. p<.05). 3) The Hypothesis 3 was accepted: The positive urine cotinine of the experimental group was less than that of the control group after 1 week after education($x^2$=8.57. p<.01) after 4 weeks ($x^2$=22.49. p<.001). In conclusion. a self-efficacy promotion smoking cessation program for middle school students was an effective smoking cessation program and then it will be valuable for stopping the smoking among the adolescents.

• Journal of Preventive Medicine and Public Health
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• v.40 no.5
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• pp.371-380
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• 2007

Objectives: To determine the impact of cigarette prices on the decision to initiate and quit smoking by taking into account the interdependence of smoking and other behavioral risk factors. Methods: The study population consisted of 3,000 male Koreans aged ${\ge}20$. A survey by telephone interview was undertaken to collect information on cigarette price, smoking and other behavioral risk factors. A two-part model was used to examine separately the effect of price on the decision to be a smoker, and on the amount of cigarettes smoked. Results: The overall price elasticity of cigarettes was estimated at -0.66, with a price elasticity of -0.02 for smoking participation and -0.64 for the amount of cigarettes consumed by smokers. The inclusion of other behavioral risk factors reduced the estimated price elasticity for smoking participation substantially, but had no effect on the conditional price elasticity for the quantity of cigarettes smoked. Conclusions: From the public health and financial perspectives, an increase in cigarette price would significantly reduce smoking prevalence as well as cigarette consumption by smokers in Korea.

• Research in Community and Public Health Nursing
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• v.13 no.2
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• pp.387-398
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• 2002

This study was conducted to provide basic data to develop a smoking prevention and non-smoking education program. Data were collected, using a questionnaire, from 438 male middle school students living in Chunchon, Kwangwon- do. The data collection period was from September 2 to 30, 2000. The questionnaire used to measure the subjects' knowledge and attitude toward smoking was based on the guideline for the contents of tobacco smoking surveys for the general population designed by WHO. The collected data were analyzed using the SPSS-Win program. The results were as follows. 1. The subjects' average score for smoking knowledge was 58.52 out of 100 points. 2. The subjects' average score for attitude toward smoking was 63.54 out of 100 points. 3. Smoking knowledge of the subjects was significantly different by their grade (F=9.187, p=.000), father's smoking behavior (t=2.261, p= .024), aware of harmfulness of smoking (F=8.911, p=.000). The subjects' attitude toward smoking was significantly different by mother's smoking behavior (t=-2.557, p=.011), brother's smoking behavior (t=-3.959, p=.000), having a smoking friend or not (t=-4.422, p=.000), subjects' smoking experience (t=-8.304, p=.000), present smoking behavior (t=7.001, p=.000), quantity of smoking (F=3.297, p= .041), abstinence period of smoking (F=3.858, p=.013), thinking about smoking behavior (F=20.999, p=.000), aware of harmfulness of smoking (F=20.964, p=.000), and amount of drinking (F=8.316, p=.000). 4. There was a significant correlation between subjects' knowledge and attitude toward smoking (r=.514, p=.000).

• Korean Journal of Occupational Health Nursing
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• v.25 no.4
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• pp.352-361
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• 2016

Purpose: The purpose of this study was to identify the factors influencing smoking cessation in female workers. Methods: This study was secondary analysis based on the data from the Community Health Survey, 2014 with the subjects of 2,007 female workers. The data were analyzed using $x^2$ test and multiple logistic regression. Results: 29.2% of female workers had the intention to quit smoking. The subjects with office jobs showed higher smoking cessation intention than non-office jobs. Smoking cessation intention was influenced by the amount of smoking per day, previous attempts to quit smoking, sleeping time, the presence of chronic disease, the presence of depressive symptoms, weight control behavior and subjective body images. Conclusion: These findings show that tailored interventions should be provided depending on the types of occupations in order to increase smoking cessation in female workers. In addition, smoking cessation programs need to consider not only the smoking related factors but also physical and psychological health including chronic disease, weight, and depression.

• 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.

• Journal of Korean Academy of Nursing
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• v.29 no.1
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• pp.48-60
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• 1999

This study was done to determine the factors influencing smoking-cessation behavior in female university students. A total of 534 students participated in this cross sectional study by answering a questionnaire. The data collection was done between September 1 and October 31, 1997 The measurement tools used in this study were the self help change process scale (Cronbach's alpha＝.9930 : developed by Oh & Kim, 1996) for smoking-cessation behaviors, the self efficacy scale(Cronbach's alpha＝.8250 : developed by Sherer et al, 1982), the sex role acceptance scale (KR－20＝.7757 : developed by Kim, 1991) and the social support scale(Cronbach's alpha＝.9172 : developed by Park, 1985). The summarized results are follows : 1. The mean scores for smoking-cessation behaviors in smokers (N＝150) was 91.72 that was considered a middle score compared to the total possible score of measurement tool (150.0). The mean score for smoking-cessation behaviors by smoking-cessation step showed significant different between the groups(F＝11.71, p＝.000). 2. The group with no experience in smoking(N＝332) showed a high general self efficacy score (t＝5.24, p＝.000), and more openness to sex role acceptance(t＝-2.15, p＝.032) compared to the group with smoking experience (N＝202). 3. General self efficacy, sex role acceptance, and social support were not different significantly between the groups according to the steps in smoking-cessation. 4. Significant factors influencing smoking-cessation behavior (total, sub concepts) were religion, sex role acceptance, social support, smoking duration, smoking attitude, time of smoking onset, amount of smoking, drinking, and perception of health status. 5. Smoking-cessation behaviors which explained 11% of the variance were smoking attitude, and smoking duration. In conclusion, this study identified factors influencing smoking-cessation behavior. Thereby it will help in the development of smoking-cessation intervention strategies. For future research, exploration other determinants of smoking cessation behaviors, evaluation of intervention efficiency, and comparative study by gender characteristics are needed.

• Journal of Preventive Medicine and Public Health
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• v.39 no.4
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• pp.339-345
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• 2006

Objectives: This study (a) investigated the rate of smoking cessation sucess for current male smokers, and (b) identified the factors that are associated with the smoking cessation success. Methods: Data were collected from four follow-up surveys of 700 current male smokers. The follow-up period was from December 2004 to June 2005. Success of smoking cessation was defined as "maintaining a smoking cessation status for six months". The demographic and socioeconomic factors included age, the household income level and, occupation. The smoking behavioral factors were composed of the amount of smoking, the duration of smoking, the age of initiating smoking, the willingness to quit, the frequency of trying to quit smoking and the smoker's attitude toward the anti-smoking policies. Results: The proportion of quitters increased from 6.6% to 11.0% during the follow-up period. The majority of quitters answered that the increase of tobacco price acted as cue to achieve smoking cessation. The age-standardized experience and success rate of smoking cessation were 16.0% (95% C.I.=13.0% to, 19.0%) and 4.5% (95% C.I.=3.0% to, 6.0%), respectively. On the multivariate analysis, success for smoking cessation was associated with the willingness to quit smoking, low prior tobacco consumption, and agreement on the tobacco price increase. Conclusions: The results of this study suggest that the recent anti-smoking policies provided an opportunity to quit smoking. The results of this study can be used to establish evidence for further anti-smoking policies.