• Journal of the Korean Society of School Health
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• v.32 no.2
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• pp.77-87
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• 2019

Purpose: This study was conducted to examine the prevalence of current smoking and the factors that influence current smoking among male high school students in Korea according to school type. Methods: Data were extracted from the Korea Youth Risk Behavior Web-Based Survey (2017) and multiple logistic regression was used based on complex sample analysis. The study sample comprised of 15,777 male high school students: 12,583 from general high schools (GHS) and 3,194 from specialized vocational high schools (SVHS). Results: The prevalence of current smoking was significantly higher in SVHS students (19.6%) compared to GHS students (12.6%). Low academic achievement, depressive symptoms, current drinking, and high household economic status were commonly associated with current smoking in male students from both school types. However, exposure to secondhand smoking at home, non-exposure to anti-smoking advertisement, exposure to tobacco advertisement, participation in smoking prevention or cessation education were related to current smoking in GHS students, while living in rural area was associated with current smoking in SVHS students. Conclusion: To reduce current smoking among male high school students, it is necessary to develop smoking prevention policies reflecting the factors associated with current smoking that are different by school type.

• Journal of Korean society of Dental Hygiene
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• v.10 no.5
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• pp.917-924
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• 2010

Objectives : The objective of this research was to investigate the smoking state of students in Y university, located in Youngdong-gun, Choungbuk. Methods : This research was conducted toward 311 number of students in the university. The questionnaire basically consists of the status of smoking, the behavior of smoker and non-smoker. Results : 58.2% of the male respondents were current smoker, but 72.4% of the females were non-smoker. 58.2% of the current smokers were 22 to 25 aged group. The highest rate of time to begin with smoking was in 15 to 18 years old and the most of people consumed 11 to 20 pieces of cigarettes per day. 48.9% of the students have an experience to keep no smoking more than one month. There were reverse correlation(r=-.335) between the status of smoking and sex, and positive correlation(r=.264) between the status of smoking and an age. Of the people experiencing non-smoking, 55.3% were smoking 'everyday' and 44.7% were 'sometimes'. The biggest part of the reason why stopped smoking was for 'the advices of other people'(25.5%), and 'Harm to health' and 'Social atmosphere of non-smoking'(21.3%) were following. Conclusions : In the university students, current smokers among male students were still high smoking rate. Therefore Dental Hygiene students in the same University have to provide the quit smoking education and oral health care methods for current smokers.

• Journal of Preventive Medicine and Public Health
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• v.52 no.2
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• pp.92-100
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• 2019

Objectives: Young adulthood represents a critical developmental period during which the use of tobacco may begin or cease. Furthermore, differences in smoking behaviors between younger (aged 18-24 years) and older (aged 25-34 years) young adults may exist. This study aimed to characterize patterns related to current smoking in younger and older young adults. Methods: This study used data acquired from the Sixth Korea National Health and Nutrition Examination Survey conducted from 2013 to 2014. A total of 2069 subjects were categorized as younger (712 subjects) and older (1357 subjects) young adults. The chi-square test was used to assess the relationships between smoking status and socio-demographic, health-related, and smoking-related factors. Multivariable logistic regression models were constructed to assess the factors affecting current smoking in these age groups. Results: The current smoking prevalence was 18.3% among the younger young adults and 26.0% among the older young adults. Sex, education level, occupation, perceived health status, alcohol consumption, and electronic cigarette use were related to current smoking in both age groups. Secondhand smoke exposure at home and stress levels showed significant relationships with smoking in younger and older young adults, respectively. Conclusions: Strong correlations were found between the observed variables and smoking behaviors among young adults. Determining the factors affecting smoking and designing interventions based on these factors are essential for smoking cessation in young adults.

• Korean Journal of Health Education and Promotion
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• v.4 no.2
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• pp.71-94
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• 1987

Aiming to investigate nutrient intake and food habits influenced by smoking for female college students in Seoul, the questionnaire survey for 763 students was carried out. The results of the survey was summarized as follows: 1. 9.7% of students were found as the current smokers and 18.9% of students had experienced of smoking, however stopped smoking at present(experienced smokers) respectively. 2. In the current smokers, they started smoking with friends at the first (58.9%), alone (27.4%), and with seniors (11.0%) respectively. The psychological frustration (52.2%), curiosity (28.4%) respectively motivated smoking behavior at the beginning. The most had smoking usually at the entertaining place such as restaurant. Only 6.4% of current smokers consumed more than 10 cigarettes daily, and 55% of current smokers inhaled deeply into the lung while they smoked. Even 26% of current smokers explained their intention of not smoking after marriage, and also about 95% of current smokers explained to stop smoking in the case of pregnancy. 3. It was found as the fact that the school age, economic status, and parental smoking affected their prevalence of cigarette smoking. The higher their schoolage, the higher smoking showed; the more their money spent and the lower father smoking showed ; the more their money spent and the lower father's educational level, the higher smoking showed; the more drink, the higher smoking showed. 4. The value evaluation of cigarette smoking also affected the prevalence of cigarette smoking. Of the students recognized advantageous parts of smoking, the prevalence of cigarette smoking was higher. 5. Logistic regression analysis was to determine the most effective factor which determined prevalence of cigarette smoking. The most effective factor was value evaluation of cigarette smoking. The order of effective factors was health value of cigarette smoking, their drinking capacity and the value evaluation of change in body weight due to smoking and smoking's advantages. 6. Cigarette smoking showed signs of affecting to food habits. In the case of smoking, the missing rate of taking regular meals was higher, and the frequency rate of taking regular meals was lower. Also, smokers took meals less regularly. Even the smokers took less candy than non-smokers, however, smokers liked to take more coffee, alcohol, and hot tasting food than non-smokers. 7. Smoking seemed to affect the nutritional status. It was found that smokers took many kinds of nutrients insufficiently, therefore their calory intake by age was not reached to RDA.

• The Journal of Korean Medicine
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• v.22 no.4
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• pp.69-78
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• 2001

Objectives : It is known that cigarette smoking is associated with increased risk of both thrombotic and hemorrhagic stroke. However, in Korea, especially in the academic world of Korean Medicine, there is a lack of study about the relation between cigarette smoking and stroke. We carried out a case-control study to clarify the relation between cigarette smoking and stroke. Method : We interviewed 441 stroke patients (236 men, 205 women) as a case group and 432 non-stroke patients (208 men, 224 women) as a control group. We investigated the smoking pattern of all patients and stroke-subtype of the case group. Smoking pattern is classed into two (Class I), four (Class II) and five groups (Class III). Class I consists of current non-smokers and current smokers. Class II consists of non-smokers, former smokers, current light smokers and current heavy smokers. Class III consists of never smoked, secondhand smokers, former smokers, Current light smokers and current heavy smokers. Stroke-subtype consists of cerebral infarction and cerebral hemorrhage. Results : The percentage of current smokers of case group is higher significantly than that of control group. The number of cigarettes smoked per day is associated positively with the risk of stroke. According to our study, generally cigarette smoking is related with ischemic stroke. The percentage of secondhand smokers of the case group is lower than that of the control group. According to our study, characteristically secondhand smoking is associated with hemorrhagic stroke. Conclusions : From the above results we found that cigarette smoking is an important risk factor of stroke - especially cerebral infarction - and the number of cigarettes smoked per day is associated positively with the risk of stroke. Characteristically according to our study, secondhand smoking is associated with hemorrhagic stroke. Overall we conclude that cigarette smoking may be an important preventable factor for stroke.

• Korean Journal of Health Education and Promotion
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• v.1 no.1
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• pp.37-56
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• 1983

It is well known that smoking habit is hazardous to health, especially for juvenile. The present study on smoking behavior of high school students in Seoul has two major objectives. The first objective is to find out the smoking behavior of high school students in Seoul. Toward this objective, individual's smoking experience has been examined as ever smoking and never smoking. The second objective is to determine the variables associated with their smoking behavior at the individual, family and school environment levels. For the data collection, the survey was carried out for the four high schools in Seoul from September 15 through October 15, 1982. The major findings are summarized as follows: 1. Smoking behavior of the students 1) Out of 1,278 respondents, 30.2% of them were found to be current smokers and 29.3% of them were former smokers. This implies that around 60% of school students in Seoul have experienced smoking. 2) A significant differences in the current smoking rates between two types of the school students were shown as 19.3% for day-time school and 42% for night-time school. 3) In terms of the current smoking behavior, the students who don't live with parents were higher in smoking rate than those of the living with parents. 2. Attitudes and knowledge about smoking 1) Attitudes of students toward smoking in high school days were shown that around 17% of them agreed with it and around 64% of them disagreed with it. 2) Around 99% of the respondents answered that their smoking is harmful for health. A source of the information about negative effects of smoking on health was 'Radio and TV' (23.9%) as the most influential, 'school teacher' (20.9%), 'Newspaper' (18.2%) and so on. 3. Behavioral analysis for the current smokers 1) The factors affected for motivation in the first smoking were 'curiosity' (59.7%), 'temptation of friend' (19.7%), 'resistance feeling, (7.1%), 'merely interest and pleasure' (6%) respectively. 2) The time of the first smoking was 'third grade of Junior-high school' (31.5%) as highest, 'first grade of Senior-high school' (23.7%) and 'second grade of Junior-high school' (14.7%). 3) An average daily number of cigarettes consuming of current smokers was seven cigarettes. 4. Family and school-mates influences on individual's smoking behavior 1) The data revealed a significant relationship between student's smoking and their parent's smoking behavior. Around 75% of the students whom both parents are smoking have experienced cigarette smoking. It was found that the individual's smoking behavior was influenced by his sibling. Around 65% of the students whom brothers are smoking have experienced cigarette smoking. 2) The 'Smoking-Index' of friendship network or a group explained individual's smoking behavior in the group. The result of dyad analysis of smoking behavior in the friendship network showed that a high score of 'Smoking-Index' tended to be explained an adoption of smoking behavior at the individual level in the group. on the other hand, a low score of 'Smoking-Index' explained non-smoking behavior in the group.

• Journal of Korean Academy of Nursing
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• v.46 no.4
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• pp.552-561
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• 2016

Purpose: The purpose of this study was to investigate factors influencing lifetime smoking and current smoking among adolescents in South Korea. Methods: Hierarchical logistic regression was conducted based on complex sample analysis using statistics from the 10th (2014) Korea Youth Risk Behavior Web-Based Survey. The study sample comprised 72,060 adolescents aged 12 to 18. Results: The significant factors influencing adolescent lifetime smoking were female gender, older age, higher stress, higher weekly allowance, lower economic status, living apart from parents, parental smoking, sibling smoking, peer smoking, observation of school personnel smoking, and coed school compared to boys' school. The significant factors influencing adolescent current smoking were female gender, older age, higher stress, higher weekly allowance, both higher and lower economic status compared to middle economic status, living apart from parents, parental smoking, sibling smoking, peer smoking, observation of school personnel smoking, and coed school compared to boys' school. Conclusion: Factors identified in this study need to be considered in programs directed at prevention of adolescent smoking and smoking cessation programs, as well as policies.

• Asian Pacific Journal of Cancer Prevention
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• v.17 no.sup1
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• pp.17-23
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• 2016

The aim of this paper is to report the rate of current and ever cigarette smoking and explore correlates of current cigarette smoking among adolescents aged 13-15 in Viet Nam. This analysis was derived from GYTS survey, which comprised of 3,430 adolescents aged 13-15, conducted in 2014 in 13 cities and provinces of Viet Nam. We calculated the weighted rates of current and ever cigarette smoking and reported patterns of smoking behavior. We also performed logistic regression to explore correlates of current cigarette smoking behavior. The weighted rate of ever cigarette smoking was 9.5% (95% confidence interval (CI): 8.5 %-10.5%), in which the weighted rate among males (15.4%; 95% CI: 13.6%-17.0%) was higher than that among females (4.2%; 95% CI: 3.3%-5.1%). The weighted rate of current cigarette smoking was relatively low at 2.5% (95%CI: 2.0%-3.0%) with higher weighted rate among males (4.9%; 95% CI: 3.8%-5.9%) compared to the corresponding figure among females (0.2%; 95% CI: 0.0 %-0.5%). Current cigarette smoking was significantly higher among males than females, in students aged 15 versus 13 years old, and in students who had several or all close friends smoking and students with daily observation of smoking at school. For greater smoking reduction outcomes, we recommend that tobacco interventions for adolescents should consider targeting more male students at older ages, establish stricter adherence to school-based banning of cigarette smoking, engage both smoking and nonsmoking adolescents and empower adolescents to resist peer smoking influence as well as changing their norms or beliefs towards smoking benefits.

• Korean Journal of Adult Nursing
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• v.23 no.1
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• pp.100-109
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• 2011

Purpose: This study was conducted to identify the factors that predict a current smoking behavior and higher emotional stress among male patients with acute coronary syndrome (ACS). Methods: The study was approved by an institutional review board from a university hospital, 2010. A face to face interview using questionnaires was performed with 185 first-time ACS male patients who were undertaken a percutaneous coronary intervention at a cardiovascular care unit. Data were analyzed using SPSS/WIN 15.0. Results: About 54% of the study subjects were currently smoking. The current smokers had dyslipidemia and reported bad eating habits compared to the non-smokers. The current smokers were younger, living alone, and reported lower perceived benefit on smoking cessation than the non-smokers, and 15% of them did not consider quitting (precontemplation stage). Smoking status was not significantly related to emotional stress. Logistic regression analysis revealed that being employed including professional or labor increased the odds of current smoking four or three times compared to the non-employed or retired. Low income or dyslipidemia also increased the likelihood of current smoking 2.8 and 2.1 times, respectively. Blue collar workers or heavy drinkers had 2.9 and 2.8 times more risks of having higher level of stress. Conclusion: An occupational background and health habits should be considered to develop an effective educational strategy for smoking cessation and stress reduction among male patients with ACS.

• Asian Pacific Journal of Cancer Prevention
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• v.15 no.18
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• pp.7629-7634
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• 2014

Background: Cigarette smokers have their own motivation and justification to smoke. For example, smoking reduces their stress or enhances their pleasure. This study aimed to identify the (a) prevalence of cigarette smokers among undergraduates in Malaysia, (b) gender differences in nicotine dependence among current smokers, (c) differences in psychological problems (depression, anxiety and stress) based on the status of smoking cigarettes (current, former and non-smokers) and (d) extent to which precipitating factors (tension reduction, addiction, automatism, handling, social interaction, pleasure, and stimulation) predict the smoking behavior among current smokers. Materials and Methods: In this study 780 undergraduate students participated from a private university in Kuala Lumpur and Selangor state in Malaysia. The Depression, Stress and Anxiety Scale, Modified Reason for Smoking Scale and Fagerstrom Nicotine Dependence Test were used to measure psychological problems, predictors of smoking behavior and nicotine dependency among current smokers. Results: The results showed that 14.7%(n=106) of the students were smokers. Current smokers exhibited more psychological problems (depression, anxiety and stress) compared to former and non-smokers. Addiction, tension reduction, pleasure and automatism were predictors of smoking behavior among the current smoking students. Step wise regression analysis showed that smoking behavior was highly predicted by nicotine dependency or addiction. Smoking students were motivated to smoke cigarettes as they believed that it reduced their tension and enhance pleasure. Conclusions: Hence, there is a need for health promotion and anti-tobacco prevention as cigarette smokers experience more psychological problems. Nicotine dependency or addition was one of the major causes for smoking behavior among the student population in Malaysia.