• Korean Journal of Health Education and Promotion
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• v.6 no.1
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• pp.48-59
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• 1989

The study was designed. to analyse the factors effecting to smoking and drinking of community people in rural area. The study has been surveyed through interviews by trained college students for 1,846 residents who live in rural area(Eup or Myun office is located)for 20days(from 3rd. to 22M. in August, 1988) The summary and conclusions are as follows. 1. The number of answers on the questionaires was 1846. And the percent of man was 55.7 %(woman 44.3 %). Among age group 20-29 years group with 30.4 % was larger than any other group. Anaverage age of answers was 38.6 years. 2.In the period of residence, 21.5 % of the residents lived within 5 years(This group was larger than any other group). In occupations, workers in agriculture and fishing was more than other job occupants. In education, the percent of high school graduates was 44.0 %(higher than any other group) 3.The smoking rate of rural residents was 41.8 %and man's smoking rate was 76.0 % (woman's smoking rate was 7.6 %). These rates were higher than the rates in 1985 (The smoking rate of nation was 32.0 %). First of all, woman's smoking rate increased rapidly 4.As for smoking amount, in male 52.8% of smokers smoked a cigarette case (20 cigarettes) in a day, and 16.9 % of smokers smoked more than one cigarette case. In female 42.5 % of woman smokers smoked a half case in a day and the rate of non-smokers diminished to 77.8 % 5.The rate of non-smokers in 21-29 years group was higher than any other group and a smoking rate increased as an age increased. However, a smoking amount decreased as an age increased. This suggests that people are more concerning about their health as their ages increase.. 6.The smoking rate of college graduates was 58.8 %(higher than any other group) and in a smoking amount 36.4 % of college graduates, 29.8 % of high school graduates smoked more than a cigarette case in a day. This shows that people in a higher education group smoke more than those in other groups. 7.As for non-smoking rate, students, service job workers, company employees, and teachers was 54.1%, 43.4%. 40.1% and 39.5%. respectively. As for smoking rate, workers in agriculture and fishing was the highest level of all job employees. Public officers smoked less than the workers in agriculture and the smoking rate of teachers was less than that of public officers. with regard to smoking amount. above one cigarette case in a day was 39.9 % in public officers, 39.2 % workers in agriculture and fishing, 37.9 % in businessmen, 34.2 % in teachers, 31.9 % in service job employees and 31.6 % in a company employees. 8.The variables which had an effect on smoking were sex (B=.1701), job(B=.1688), education(B=.1671), age(B=.1125). These variables were significant in P＜0.05 statistically. Explanatory variance level was 19% 9.The drinking rate of community residents was 61.8% and man's drinking rate was 81.7%(woman's drinking rate was 38.9%). As drinking rate 18.0%(the highest rate) of man drinkers drank 3 bottles of beer in a general drinking and 12.1% of them drank more than 10 bottles. 12.1% (the highest rate)of woman drinkers drank 2 cups of beer. The rising rate of woman's drinking of alcohol was remarkable. 10.Each non-drinking rate of age groups was 27.6% (in 20-30 years group), 28.0% (in 30-39 years group), 28.9%(in 40-49 years group) and 32,6%(in 50-59 years group), 10,7%(the highest rate) of 20-29 and 30-39 years groups drank above 3 bottles. 7.5% of 20-29 years group and 7.7% of 30-39 years group drank above 10 bottles. In 40-49 years group, 14.4 % of them drank a bottle and 8.1% of them drank above 10 bottles. In 50-59years group, 14,2% of them drank 2 bottles and 5.3 % of them drank above 10 bottles. This shows that a drinking rate decresed as an age increased. 11.Non-drinking rate was higher as an education level was lower. Each non-drinking rate of non-educated group, elementary school group, middle school group and high school group was 41.0 % of high school graduates and 14.5 % of college graduates drank 3 bottles of beer. 9.7 %(the highest rate) of college graduates drank above 10 bottles, in general drinking. 12.Each non-drinking rate of businessmen, farmers, service job workers, and students was 31.3%, 28.2%, 26.8% and 25.9%. However, Each drinking rate of public officers, company employees and teachers was 73.3 %, 72.2 % and 68.4 %. This tells us that the drinking rate of mental workers is higher than that of physical workers. 14.9 % of farmers and 14.4 % of public officers drank 3 bottles at a time. 10.5 % of teachers and 9.9 % of public officers drank above 10 bottles. 13.The variables which affect on drinking were sex(B=.1545), education(B=.1476), job(B=.1064), and age(B=.1052). These variables were significant in the level of 0.05 % and explanatory variance level was 18 %. 14.Government have to educate people and demonstrate the health hazards caused by smoking and over-drinking. Especially, No-smoking campaign for woman and education not to over drink for professional job workers are necessary.

• Journal of Korean Public Health Nursing
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• v.21 no.2
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• pp.217-229
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• 2007

Purpose: This study sought to investigate the relationship between smoking, drinking and the mental health of adolescents. Method: The study subjects included 1,092 randomly sampled third-year middle and high school students from N-City and the L-Kun area in Chonbuk Province. The data were collected using an anonymous questionnaire developed by the Ministry of Health and Welfare(2005). The data were analyzed using the SPSSWIN 15.0 Program. Result: The smoking rate in the adolescents was 10.1%, and the drinking rate was 43.2%. The stress recognition rate in normal daily life was 45.5%, the frequency of depressive symptoms was 33.2% and 40.0% of the subjects reported that they wanted to die at some point within the past year. The rate of stress recognition, depressive symptom experience, suicidal planning and attempt in smokers and drinkers was higher than that in non-smokers and non-drinkers (p<.05). Especially, the frequency of suicidal thoughts was higher in the drinkers than in the non-drinkers (p<.05). Conclusion: The smoking and drinking status of the adolescents was correlated with their mental health a sit relates to stress, depression and suicide. Therefore, an effective program for the prohibition of cigarette smoking and alcohol consumption is needed in order to prevent smoking and alcohol consumption in adolescents and improve their mental health status.

• Korean Journal of Health Education and Promotion
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• v.7 no.1
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• pp.54-63
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• 1990

This study aims to find out the prevalence of smoking, and to analyze the effect of smoking for health status, and then to emphasize the necessity of stop smoking. The data used in this study are obtained from periodic health care programe at Health Care Center in a suburban hospital, and selected 435 males who have occupation. The independent varibles chosen for the analysis are general charactersitic variables and smoking habit. The dependent variables are designed to cover the health status of individual cases, and include blood pressure, blood cholesterol level with HDL-cholesterol and blood triglyceride level, recent symptoms and recently being managed diseases. The result of this study are summarized as follows. 1) Percentage of smoker by the age groups is highest in 4th decade, being 71.1%. The second and third ranks are 6th and 7th decades, being 53.5% and 44.4%, respectively. 2) In the view of socio-economic levels, smoking rate is higher in the groups who live at rural area and whoes occupation is labor or merchant. Smoking rate is significantly higher in the heavy drinking group. 3) Among the atherosclerotic risk factors, which include hypertension, HDL-cholesterol by total cholesterol ratio lower than 0.2 and triglyceride level higher than 200gm/dl, hypertension was not statistically associated with smoking, but others revealed statistically high association with smoking. 4) The groups who have the symptoms of severe fatigue, gastrointestinal symptoms, pulmonary symptoms, palpitation and chest tightness havepositive association with smoking. 5) The groups who have hypertension with cardiovascular diseases and gastrointestinal diseases showed highly significant association with non-smoking. 6) In relation of the smoking habit to the atherosclerotic risk factor index, smokers have more atherosclerotic risk factors, but that is not statistically significant. 7) In relation of the smoking habit to the recent symptom index, smokers have more symptoms than non-smokers with statistical significance. In conclusion, smokers have worse health status than non-smokers especially in the atherosclerotic risk factors such as hypertension or abnormal blood lipid status and have more symptoms such as severe fatigue, gastrointestinal symptoms, pulmonary symptoms, palpitation and chest tightness. And the campaingn against smoking should direct for the male in 4th decade because they have highest smoking rate.

• Journal of Environmental Health Sciences
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• v.47 no.1
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• pp.78-86
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• 2021

Objectives: The purposes of this study were to investigate the installation rates and status of indoor smoking rooms in public facilities and to determine the level of compliance level with smoke-free policies in accordance with the National Health Promotion Act. Methods: A visiting survey was conducted on 1,206 public facilities in the Seoul Metropolitan Area and the Daegu and Gyeongsangbuk-do Province area. Researchers selected public facilities such as bars, coffee houses, and internet cafes using convenient sampling. They visited without prior notice, checked the existence of indoor smoking rooms, and recorded their status. Results: Internet cafes (110/116) had the highest installation rate of indoor smoking rooms, followed by bowling clubs (17/19) and billiard rooms (87/100). Depending on the type of business, 50-88% of smoking rooms were not completely enclosed. Coin karaoke rooms showed the least inadequacy in this regard. In addition, out of 512 smoking rooms, in 33% (n = 169) smoking indoors was observed in non-smoking areas. Only 9% of public facilities were in full compliance with the indoor smoke-free regulation. Conclusions: It was found that most of the public facilities with indoor smoking rooms did not comply with the smoke-free policy, and smoking was still observed inside some facilities. Therefore, there is a need for a policy that prohibits indoor smoking rooms completely.

• Journal of Korean Public Health Nursing
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• v.33 no.3
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• pp.354-363
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• 2019

Purpose: This study was undertaken to identify factors related to quit-smoking intention based on the planned behavior theory among out-of-school youths. Methods: This study was a quantitative research, data were collected during Nov. 1. 2018 to Feb. 28, 2019, study subjects were 189 out-of-school youths in Youth support Center located in A, B, C area city. The data were analyzed using independent sample t-test and one-way ANOVA, Pearson's correlation coefficient, and multiple linear regression. Results: There was a significant differences of quit smoking intention according to age, weekly allowance, participate of antismoking program. There were positive correlations between quit smoking intention and attitude to non-smoking and perceived behavior control. In smoking cessation intention influenced by predictive variable, age, weekly allowance, attitude to non-smoking, and perceived behavior control explain 26.8% smoking cessation intention. Conclusion: We believe that findings from this study will help to develop the specific smoking cessation education program for out-of-school youth's health behaviors.

• The Journal of Korean Society for School & Community Health Education
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• v.21 no.2
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• pp.73-86
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• 2020

Objectives: The purpose of this study was to effects of education program of smoking prevention and cessation through the linkages between subjects on smoking knowledge, grit, health promoting behaviors of college students in some area. Methods: A non-equivalent control group pre-post test design was used. The intervention group received the education program for 6 weeks from October 1 to November 15, 2019. The control group lived only usual daily life. Results: t-test showed that Smoking Knowledge (t=3.78, p<.001) and grit (t=3.75, p<.001) were significant differences between the two groups. In terms of health promotion behaviors, total(t=2.89, p=.002) and physical activity(t=3.20, p=.002), health responsibility(t=3.90, p<.001), spiritual growth(t=1.99, p=.049), interpersonal relations(t=2.61, p=.010) were significant difference between the two groups, in other hands nutrition(t=0.89, p=.372) and stress management(t=1.69, p=.092) were no significant difference between two groups. Conclusions: the education program of smoking prevention and cessation through the linkages between subjects was founded to be an effective education program in improving smoking Knowledge, grit, health promoting behaviors of college students in some area.

• Korean Journal of Community Nutrition
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• v.8 no.5
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• pp.770-780
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• 2003

The purpose of this study was to compare the anthropometry, the serum lipid levels and the nutrient intakes of two groups according to their alcohol intake, smoking habits, regular exercise patterns, menopause status and obesity levels. The subjects consisted of 180 clinically normal adults (males 89, females 91) in the Youngdong area. There were significant differences in the triglyceride (TG) concentrations between the alcohol consumers (169.3 \pm 130.0 mg/dl) and the non-alcohol consumers (111.4 \pm 64.5 mg/dl), and the smokers (165.0 \pm 103.6 mg/dl) and the non-smokers (110.8 \pm 39.0 mg/dl). Although regular exercise did not affect the serum lipid levels, the dietary intakes of cholesterol, niacin and phosphate were significantly higher (p<0.05) in the male exercising group than in the male non-exercising group, and female exercising group consumed more polyunsaturated fatty acids (p<0.05) than the female non-exercising group. The waist/hip ratio. serum total cholesterol (198.4 \pm 36.3 mg/dl) and serum LDL-cholesterol (119.5 \pm 34.9 mg/dl) levels of the postmenopausal females were significantly higher than those of the premenopausal females (p<0.01). The obese males showed higher serum cholesterol, LDL-cholesterol, LDL/HDL, and relative cholesterol levels than those of the normal-weight males : and the obese females showed higher serum TG levels than that of the normal-weight females (p<0.01). These results suggested that drinking, smoking, menopause and obesity are risk factors for hyperlipidemia. Thus, moderation in alcohol consumption, non-smoking, regular exercise and the maintenance of normal weight are necessary to Prevent hyperlipidemia in middle-aged People.

• Journal of Environmental Health Sciences
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• v.47 no.4
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• pp.320-329
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• 2021

Background: Smoking exposure may be objectively assessed through specific biomarkers. The most common biomarker for smoking is cotinine concentration in urine, and setting an optimal cut-off point can accurately classify smoking status. Such a cut-off point for Korean adolescents has never been studied. Objectives: The aim of this study was to determine a cut-off point for urinary cotinine concentration for the discrimination of smoking in adolescents. Methods: Participants were adolescents aged 13~18 years who participated in the third cycle of the Korean National Environmental Health Survey. We used urine samples to confirm the level of cotinine concentrations. Smoking status was determined by self-reported questionnaire. We identified the optimal cotinine cut-off point for discriminating smoking status using receiver operating characteristic curve analysis. Results: Of the 904 participants, 28 (3.1%) were smokers, among whom 20 (71.4%) were male. The median urinary cotinine concentrations in smokers was 218 ㎍/L (male: 215 ㎍/L, female: 303 ㎍/L), and that in non-smokers was 1.31 ㎍/L (male: 1.46 ㎍/L, female: 1.18 ㎍/L). We found significant differences in urinary cotinine concentration according to smoking status and sex (p<0.001). Urinary cotinine concentrations performed well for identifying smoking adolescents [area under the curve: 0.954 (male: 0.963, female: 0.908)]. The cut-off that optimally distinguished smokers from non-smokers was 39.85 ㎍/L (sensitivity: 89.3%, specificity: 97.4%). Male [39.85 ㎍/L (sensitivity: 90.0%, specificity: 94.9%)] had a different optimal cut-off point than female [26.26 ㎍/L (sensitivity: 87.5%, specificity: 99.6%)]. Conclusions: This study determined a cut-off point for urinary cotinine of 39.85 ㎍/L (male: 39.85 ㎍/L, female: 26.26 ㎍/L) to distinguish smokers from non-smokers in adolescents.

• Journal of the Korean Dietetic Association
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• v.14 no.4
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• pp.371-381
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• 2008

In order to elucidate the effects of a lacto-ovo vegetarian diet on serum lipid levels, 91 male collegians residing in the Seoul area were recruited. The vegetarians did not smoke tobacco nor drink alcohol. Their anthropometric measurements, dietary intakes, and blood lipid concentrations were compared to age-matched omnivorous controls. The subjects were divided into four groups. The four groups were: 1) NSNDV (n=25): Non Smoking Non Drinking Vegetarians, 2) NSNDO (n=10): Non Smoking Non Drinking Omnivores, 3) SDO (n=37): Smoking, Drinking Omnivores, 4) SDM (n=11): Smoking Drinking Meat-eaters. Total serum cholesterol, HDL-cholesterol and hematocrit were analyzed. The results were as follows: Weight (p<0.05) and BMI (p<0.01) were significantly higher in SDM than NSNDV. Dietary protein (p<0.01), iron (p<0.05) and dietary lipids (p<0.01) from animals in NSNDV were significantly lower than the results in the SDM. Interestingly enough, we noted no significant differences between the four groups in terms of average total dietary protein, dietary lipids and dietary iron, total serum cholesterol, or HDL-cholesterol. Dietary fiber intake was significantly higher in NSNDV than in SDM (p<0.05). Weight, BMI, and total cholesterol were significantly positively correlated with animal protein (p<0.05) and animal lipid (p<0.01) intake. These results showed that vegetarian collegians who haven't smoked tobacco nor drunk alcohol evidenced lower body weight, BMI, and dietary animal lipid intake, but higher dietary fiber intake, than the other three groups. Additionally, intake of animal protein (p<0.001) and intake of animal lipids (p<0.001) were significantly positively correlated with body weight, BMI, and total serum cholesterol in male collegians.

• Journal of Preventive Medicine and Public Health
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• v.43 no.4
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• pp.283-291
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• 2010

Objectives: The purpose of this study was to develop a prediction model for future smoking intention among Korean adolescents aged 13 to 15 in order to identify the high risk group exposed to future smoking. Methods: The data was collected from a total of 5940 students who participated in a self-administrated questionnaire of a cross-sectional school-based survey, the 2004 Korea Global Youth Tobacco Survey. Chi-square tests and logistic regression analyses were carried out to identify the relevant determinants associated with intentions of adolescents’ future smoking. Receiver Operation Characteristic (ROC) assessment was applied to evaluate the explanation level of the developed prediction model. Results: 8.4% of male and 7.2% of female participants show their intentions of future smoking. Among non-smoking adolescents; who have past smoking experience [odds ratio (OR) 2.73; 95% confidence interval (CI) 1.92- 3.88]; who have intentions of smoking when close friends offer a cigarette (OR 31.47; 95% CI = 21.50 - 46.05); and who have friends that are mostly smokers (OR 5.27; 95% CI = 2.85 - 9.74) are more likely to be smokers in the future. The prediction model developed from this study consists of five determinants; past smoking experience; parents smoking status; friends smoking status; ownership of a product with a cigarette brand logo; and intentions of smoking from close friends’ cigarette offer. The area under the ROC curve was 0.8744 (95% CI=0.85 - 0.90) for current non-smokers. Conclusions: For efficiency, school-based smoking prevention programs need to be designed to target the high risk group exposed to future smoking through the prediction model developed by the study, instead of implementing the programs for all the students.