• Korean Journal of Health Education and Promotion
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• v.21 no.4
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• pp.35-49
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• 2004

The purpose of this study was to analyze variables associated with smoking and selected health behaviors. This study targeted adult men and women over 20 of age. The sample population was drawn from the national sample, and the samples were chosen from the telephone book. A total of 1,500 cases were collected through a telephone based interview survey. As a tool for this study, a structured questionnaire was developed. the variables included self-perceived health status, and selected 7 health behaviors; smoking behavior, physical activities, eating habit, weight control, alcohol consumption, stress management, and cancer exam. The healthy life practice actions of Trans-theoretical model have been classified into five stages. Smokers were more likely than non-smokers to positive attitudes toward smoking and the impact of smoking in this study. This means that smokers's awareness toward the impact of smoking is very week. Smoking behavior was significantly related to other health related behaviors based on the correlation analysis. However, gender, engaging in regular physical activities, moderate consumption of alcoholic beverages, and receiving a cancer examination were the variables that can explain and predict a person's stages of adopting a non-smoking behavior. Self perceived health status was closely related to other health behaviors. Gender, age, and monthly household income were important demographic variables that have significant relationship with the self-perceived health status. Among the health behaviors, regular physical activities and weight control were significant predictable variables. Similar results have been found in the National health and Nutrition examination survey in Korea. As a result of this study, it was found that among the selected health behaviors, engaging in physical activity was an important variable to increase positive sense of health and non-smoking behaviors. Educational and policy level input is needed to increase awareness and provide chances to participate in fitness activities. To those who maintain exercise, the environmental support and diffusion of knowledge information and education data should be strengthened. To change attitudes toward smoking, more in-dept awareness campaign and education should be provided according to people's different behavioral status. In addition, not only diffusing health education data and delivering knowledge information through related programs, but also environmental support system that helps an individual maintain his/her action is required. Such a support system means settlement of the health enhancement base of school, workplace and community should be carried out, and the policy level support and regular programs should be provided and spread to the unit of community.

• Genomics & Informatics
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• v.3 no.4
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• pp.166-171
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• 2005

Background: Smoking effects are relatively well-documented, especially on cancers and cardiovascular diseases. However, the direction and magnitude of association between smoking and obesity remain unclear. Conflicting results so far are thought to stem from the multiple confounding structure of smoking and other obesogenic life style characteristics. Methods: Cotwin control study is a genomic epidemiology design, in which the other twin (=cotwin) serves as a control of the twin. Cotwin control study, discordant for smoking habits can provide powerful evidence of association between smoking and obesity by completely matching genomic information, intrauterine environment, and almost all environmental factors. We selected 3,697 like-sex twin pairs (2,762 male and 935 female pairs) out of 63,666 pairs of adult twins in the existing Korea Twin and Family Register, whose smoking habits are discordant. We used the information of obesity as body mass index (BMI, $kg/m^2$) blood pressure, and blood cholesterol level at the time or later than the smoking information. Paired t-test was done to compare the smoking effects. Results: Lifetime smoking rate was 80.1 % (47.9 current smoker) for men and 10% (1.7% current smoker) for women. Among 2,762 and 935 male and female like-sex twin pairs, 363 male pairs and 20 female pairs correspond to the definition of smoker-nonsmoker pair. The male smokers demonstrated increase in BMI by 0.47, while female smokers show slight decrease (by 0.13), which were not statistically significant. Diastolic and systolic blood pressure, and cholesterol level were slightly increased among smokers by 1.85 mmHg, 0.62 mmHg, and 1.28 mg/dl for men. For women, the results show increase in diastolic blood pressure (3.42mmHg) and cholesterol level (1.25 mg/dl), and systolic pressure (8.17 mmHg). Conclusion: The results refute the possibility that smoking can reduce BMI. Considering the direct adverse effect of smoking, it should be emphasized that smoking do not decrease obesity and thus increase overall metabolic syndrome.

• Korean Journal of Adult Nursing
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• v.15 no.3
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• pp.483-492
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• 2003

Purpose: The study was performed to identify the process of change, decisional balance and self-efficacy corresponding to the stage of smoking cessation behavior based on Transtheoretical Model in industrial workers. Method: A convenience sample of 146 industrial workers except for the never smokers, were recruited at a H industry in Ulsan. Data were collected from February 1 to 28, 2002. The research instruments were Stages of Change of Smoking Cessation Measure(DiClemente et al, 1991), Process of change(Prochaska, 1988), Smoking Abstinence Self Efficacy (SASE: DiClemente et al, 1985) and Decisional balance(SDB; Kim, 1999). Result: The results of this study were as follows; 1. The subjects were distributed in each stage of smoking cessation change: There were 64 subjects (43.0%) in the precontemplation stage, 35 subjects(23.5%) in the contemplation stage, 28 subjects(18.8%) in the preparation stage, 14 subjects(10.1%) in the action stage and 7 subjects(4.7%) in the maintenance stage. 2. Analysis of variance showed that experiental process(F=2.808, p=.042), behavioral process (F=4.567, p=.004) self-efficacy(F=9.809, p=.000), pros(F=11.107, p=.000), cons(F=6.686, p=.000), pros- cons(F=3.446, p=.018) were significantly associated with the stages of smoking cessation change. 3. Through discriminant analysis, it was found that 'PROS' was the most influential variable in discriminating the four stages of change. Conclusion: This study can provide the basis of staged matching smoking cessation program using TTM for more effective and useful intervention.

• Journal of Nutrition and Health
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• v.42 no.6
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• pp.547-558
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• 2009

This study was carried out to compare the effect of smoking on dietary habits, nutrient intakes and blood lipid profiles in 173 adult male drinkers. Subjects were classified by two groups, alcohol-only and alcohol-smoking, based on their alcohol or smoking habits. The BMI of the alcohol-smoking group was significantly lower than those of alcohol-only group. In dietary habits, the alcohol-smoking group had higher irregular breakfast and dinner intakes than alcoholonly group (p < 0.05). Plant lipid intake of the alcohol-smoking group was higher than those of alcohol-only group (p < 0.05) and the vitamin C intake of the alcohol-smoking group was lower than those of alcohol-only group (p < 0.05). With regard to the diet quality evaluation of subjects, the alcohol-smoking group showed significantly lower values than alcohol-only group in the nutrient density of carbohydrate, dietary fiber, sodium, potassium, vitamin $B_6$, and vitamin C. Also, with regard to the index of nutrition quality (INQ) and the nutrient adequacy ratio (NAR), the alcohol-smoking group showed significantly lower value than alcohol-only group in vitamin C. With these results, we found that the alcohol-smoking group had lower diet quality evaluation. The results of blood analysis showed that HDL-cholesterol in the alcohol-smoking group was significantly lower than that in the alcohol-only group. In conclusion, the alcohol-smoking group had greater health risk than the alcohol-only group. Particularly, alcohol-smoking caused irregular eating patterns and unbalanced nutrition intakes compared to alcohol-only and also changed blood composition as shown in the decrease of HDL-cholesterol. Besides, the index of coronary heart disease such as AI was higher in both groups suggesting that alcohol-only or alcohol-smoking cause health problems. Since there is the limiting point in which the comparative analysis of non-drinkers and non-smokers is unable to be performed in this study, further wide research is needed on that matter.

• Asian Pacific Journal of Cancer Prevention
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• v.13 no.12
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• pp.5959-5963
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• 2012

Background: The term 'hardcore' has been applied to use of smoking tobacco and generally referred to as the inability or unwillingness of regular smokers to quit. The component constructs of hardcore except nicotine dependence are product neutral. With the use of 'time to first chew' as a measure of nicotine dependence, hardcore definition can be extended to characterize smokeless tobacco users. Hardcore users respond less to tobacco cessation interventions, and are prone to tobacco induced diseases including cancer. Thus identifying hardcore users would help in estimate the burden of high risk population for tobacco induced diseases. Smokeless tobacco use is predominant and accounts for more than 50% of oral cancer in India. Hence, hardcore chewing information could be used for planning of tobacco and cancer control interventions. The objective of this study was to assess the prevalence and associated factors of hardcore smokeless tobacco use in India. Materials and Methods: Global Adult Tobacco Survey (GATS)-India 2010 data were analyzed to quantify hardcore smokeless tobacco use in India with following five criteria: (1) current daily smokeless tobacco use; (2) no quit attempt in the past 12 months of survey or last quit attempt of less than 24 hours duration; (3) no intention to quit in next 12 months or not interested in quitting; (4) time to first use of smokeless tobacco product within 30 minutes of waking up; and (5) knowledge of smokeless tobacco hazards. Results: The number of hardcore smokeless tobacco users among adult Indians is estimated to be 5% (39.5 million). This group comprises 23.2% of daily smokeless tobacco users. The population prevalence varied from 1.4-9.1% across different national regions of India. Logistic regression modeling indicated age, education and employment status to be the major predictors of hardcore smokeless tobacco use in India. Conclusions: The presence of a huge number (39.5 million) of hardcore smokeless tobacco users is a challenge to tobacco control and cancer prevention in India. There is an unmet need for a universal tobacco cessation programme and intensification of anti-tobacco education in communities.

• Korean Journal of Adult Nursing
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• v.28 no.4
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• pp.459-469
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• 2016

Purpose: This comparative descriptive study was to identify gender differences in delay seeking treatment and related experiences in patients with acute myocardial infarction (AMI). Methods: Ninety-seven participants were recruited from a tertiary hospital. Results: Mean age of 47 women was $71.5{\pm}13.3$ while that of men was $55.0{\pm}10.9$ (p<.001). More women lived alone and were jobless, less educated, and poorer than men. Men were likely to be 'current smokers' and drink alcohol, however viewed themselves healthier than women (p=.030). Women's hospital stay was $9.23{\pm}21.04$ days while men's was $4.86{\pm}2.72$ days (p=.014). More women had been diagnosed with hypertension (p=.040). Women appeared to report significantly less pain ($6.46{\pm}3.1$) than men ($8.44{\pm}1.8$). More men described their pain as sudden onset (p=.015) and chest pain as major symptom (p=.034) than women. More women were found alone upon onset of symptoms (p=.023) and had important reasons for delay seeking treatment (p=.021) than men. Median time from onset of symptoms to seeking medical service was 1.5 hours for men and 5.1 hours for women (p=.003). Median time taken from onset of symptoms to hospital for therapy was 3.5 hours for men and 9.1 hours for women (p=.019). Conclusion: This study findings that women reported less pain and delayed in seeking treatment, suggest needs for strategies targeting women at risk of AMI.

• Korean Journal of Health Education and Promotion
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• v.21 no.2
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• pp.167-185
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• 2004

Objectives： The rate of adolescent smoking is important because lead to adult smoking. And early onset of smoking is associated with chronic disease in adult life. The purpose of this study is to describe the smoking status of adolescents and identify the risk factors for smoking in each school. Methods： We selected the participant schools that are located in Yang-cheon Gu, Seoul, Korea, considering the social economic status. The subjects were included 719elementary school students,1,251 middle school students and 1,513 high school students. Self-reported questionnaires were administrated between December 16 and December 24 , 2002. Students were informed in writing that the survey was voluntary. The response rate was 98.7, 81.1 and 95.4 in elementary, middle, and high school, respectively. Results： The results of this study were as follows： 1) Students who have attempted to smoke were 8.8% in elementary school, 29.3% in middle school and 35.0% in high school. 2) The current smokers were 2.0%, 7.9% and 11.5% in elementary, middle and high school, respectively. 3) In elementary school, smoking of mends and physical health were significantly predicted the attempt to smoke. Stress, smoking of mends, alcohol, and binge drinking were associated with the attempt to smoke of middle school students. In high school, the attempt to smoke was related to gender, maternal education, depression, school performance, smoking of brothers, smoking of mends, alcohol, and binge drinking. 4) Current smoking was associated with smoking of mends and binge drinking in middle school and gender, school performance, smoking of brothers, smoking of mends, alcohol, and binge drinking in high school in multiple logistic regression. Conclusion： There is a need for health education and specific strategies to help adolescents prevent from smoking. Smoking prevention programs which include risk-taking behavior such as alcohol, method of copying with stress, and supporting environment were required.

• Journal of the Korean Society of School Health
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• v.7 no.1
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• pp.57-71
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• 1994

I investigated actual conditions of smoking of teenagers who were randomly chosen middle and high school students. 1. Juvenile smoking 1) Parents' opinions of juvenile smoking Most parents do not want their children to smoke after growth : 88.6% of fathers (middle school students: 88.9%, high school students: 88.4%) and 95.1% of mothers (middle school students: 93.4%, high school students :95.5%). 2) Teenagers' opinions of smoking after growth The rate of students who will smoke after growth is 10.8% (middle school students: 12.0%, high school students: 9.9%): students in agricultural areas show the higher rate than those in cities. 3) Parents' opinions of their children's smoking now 1.5% of fathers want their children to smoke now (middle school students: 1.3%, high school students: 1.6%) and 1.1% of mothers do (middle school students: 0.6%, high school students: 1.5%). This shows that most parents do not want their children to smoke now. 4) Students' opinions of their friends' smoking now Students who want their friends smoke now cover 7.8% (middle school students: 7.1%, high school students: 8.4%). This rates are higher than those of parents shown in (3). And more high school students and more girl students gave the positive reponse than middle school boy and girl students, respectively. 5) Students' views of smoking "Look like an adult" covers the rate of 4.0% (boy: 7.8%, girl:3.6%) 6.7% of middle school students have this view, while 3.7% of high school students have. 16.1% of students had an experience of smoking during the last one year (boy: 29.9%, girl: 8.6%): this shows that the rate of the boy students is more than 3 times greater than that of the girl students and high students who experienced smoking last year covers 20.2%, while middle school students shows 10.9%. 6) Actual conditions of students' smoking The present rate of students' smoking is 22.4% (boy:38.3%, girl:13.8%): the rate of boy students is greater than that of girl students. Students who smoke more than pack of cigarettes a day cover 8.2% (boy: 17.5%, girl: 3.2%): 5.2% of middle school students (boy:11.4%, girl: 2.1%) smoke more than one pack while 10.7% of high school students do (boy:21.5%, girl: 4.2%). This shows that the rate of boy students' smoking is greater than that of girl students' smoking. 7) The rate of smoking of students' parents 75.4% of fathers (city: 74.5%, agricultural area:75.9%) smoke: and more than a half (62.4%) smoke more than a pack cigarettes a day. On the other hand, the rate of smoking mothers is 5.2%(city: 4.3%, agricultural area: 7.3%): the rate is higher in agricultural areas. 8) Opinions of smoking population in the future 61.4% of students answered that smoking population will increase, while 27.0% have the opinion that smoking population will decrease. 2. Opinions of the effects of smoking on health 1) Have you heard that smokers are likely to suffer from tuberclosis? 78.3% of students said yes (boy: 80.8%, girl: 76.4%): it is shown that the rate of boys is greater than that of girls. 2) Have you heard that smokers are likely to get out of endurance? 76.6% of students (boy: 69.3%, girl: 49.7%) answered yes: it is shown that the rate of boys is greater than that of girls. 3) Have you heard that heart-beats get fast when one smokes? 32.5% of students (boy: 35.5%, girl: 30.9%) answered yes: 32.2% in cities(boy: 33.0%, girl: 31.8%) and 33.5% in agricultural areas(boy: 41.8%, girl: 28.8%): and 28.7% middle students and 35.5% of high school students answered yes. 4) Have you heard that smokers are likely to have heart-diseases? 35.1% of students (boy: 34.0%, girl: 34.1%) answered yes: 35.3% in cities (boy: 37.2%, girl: 34.2%) and 36.7% in agricultural areas (boy: 39.0%, girl: 33.9%): 34.8% of middle school students and 35.4% of high school students. 5) Have you heard that smokers are likely to have a lung cancer? 91.4% of students (boy: 93.2%, girl: 89.9%) answered yes: 90.35% in cities and 94.2% in agricultural areas. 6) Have you heard that the life of smokers gets shorter? 94.3% of students (boy:94.6%, girl: 92.2%) answered yes. 7) Have you heard that pregnant smokers will deliver a baby with low birth weight? 29.6% of students (boy: 29.8%, girl: 29.4%) answered yes: the rates of boys and girls almost the same. 8) Have you heard that one feels calm when one smokes? 80.1% of students (boy: 81.8%, girl: 79.2%) answered yes: boys and girls showed almost the same rate. 3. Preventive measures Smoking people continued to increase all over the world because smoking not only mitigated emotional uneasiness such as loneliness, nervousness and so on, but also could be very helpful from the social perspective. This was so because they did not consider harmful effects of smoking on health, and victims. However, because any -one can have physical disorders caused by smoking, people should always keep in mind the following preventive measures. 1) Doctors or teachers should set an example of giving up smoking. Informing patients or students of harmful effects of smoking to persuade their family and relatives not to smoke. 2) Through mass media like newspapers, periodicals or broadcasting, to make people know harmful effects of smoking and not smoke. 3) To prohibit selling teenagers cigarette by law. 4) To prohibit smoking in public places like work places, offices, lecture rooms, recreation rooms, buses, trains and so on. 5) To decrease the rate of life insurance for non-smokers as in foreign countries and to give a warming of the harmful effects on cigarette packets or ads.

• Asian Pacific Journal of Cancer Prevention
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• v.14 no.4
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• pp.2673-2680
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• 2013

Tobacco abuse is a major preventable cause of premature death and disease, including various cancers. The Global Adult Tobacco Survey India (GATS) 2009-10 revealed that more than one-third of adults use tobacco in one form or the other. Nearly two in five smokers and smokeless tobacco users made attempts to quit the habit in the past 12 months. Tobacco dependence is a chronic condition characterized by susceptibility of relapse over years. It can be well handled by sustained professional support from health care providers mainly through behavioral counseling and pharmacotherapy. Dental professionals can play a pivotal role in diagnosing and effectively managing tobacco dependence. Dental Institutions have rapidly grown in last two decades across the country and so has the curriculum been adapted to improve student competencies to accommodate changing disease patterns and technological advances, but not in regard to tobacco cessation. Untapped dental manpower like undergraduates, dental hygienists and other paramedical staff need effective training to be more penetrative. The present review paper explores the potential role of dental training institutions and recommends various approaches to counter public health jeopardy of tobacco related diseases.

• Asian Pacific Journal of Cancer Prevention
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• v.16 no.16
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• pp.6845-6849
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• 2015

Background: Roles of tobacco and alcohol use in etiology of cancer are well established. Alterationin in P53 have essential roles neoplastic change by preventing genome mutation; the aim of this study was to assess the association between P53 mutation and tobacco and alcohol consumption, as well as to assess the epidemiology of tobacco and alcohol use as risk factors for cancer in the adult population of northern Saudi civilians. Materials and Methods: A cross-sectional survey from October 2014 to January 2015, covering 3,398 adults, was performed. P53 mutation molecular detection was performed for 100 tobacco and alcohol users, usingDNA extracted from buccal cells. Results: Of the 3,398 participants 3,253/3398(95.7%) responded, with a male female ratio of 1.10: 1.00. Out of these, 24.8% had smoked tobacco in their lifetime and 2.7% were consumers of alcoholic beverages. None was identified with any P53 mutation. Conclusions: The prevalence of tobacco smoking among the northern Saudi civilians was relatively high. Females' attitudes in tobacco and alcohol related issues were found to be affected by social stigma. Tobacco and alcohol use has no link to P53 gene mutations.