Clinical and epedemiologic studies of coronary heart disease(CHD)have from time to time over the last three decades found associations between prevalence of CHD and behavioral attributes and cigarette smoking. The main purpose of this study is reduced to major risk factor of coronary heart disease through prohibition of smoking and control of behavior pattern. The subjects consisted of 120 smokers and 90 non-smokers who were married men older than 30 years working in officers. The officers were surveyed by means of questionnaire September 26 through October 6, 1989. The Instruments used for this study was a self-administered measurement tool composed of 59 items was made through modifications of Jenkuns Activity Survery(JAS). The Data were analysed by SAS(Statistical Analsis System) program personal computer. The statistical technique used for this study were Frequency, x$^2$-test, t-test, ANOVA, Pearson Correlation Coefficient. The 15 items were chosen with items above 0.3 of the factor loading in the factor analysis. In the first factor analysis 19 factors were extracted and accounted for 86% of the total variance. However when the number of factors were limited to 3 in order to derive Jenkins classification, three factors were derived. There names are Job-Involvement, Speed & Impatience, Hard-Driving. Each of them includes 21 items, 21 and 9, respectively. The results of this study were as follow : 1. The score of the smoker group and non-smoker group in Job-Involvement(t=5.7147, p<0.0001), Speed & Impatience(t=4.6756, p<.0001), Hard-Driving(t=8.0822, p<.0001) and total type A behavior pattern showed statistically significant differences(t=8.1224, p<.0001). 2. The score of type A behavior pattern by number of cigarettes smoked daily were not statistically significant differences. 3. The score of type A behavior pattern by duration of smoking were not significant differences. It was concluded that the relationship between smokers and non - smokers of type A behavior pattern was statistically significant difference but number of cigarettes smoked daily and duration of smoking were not significant differences. Therefore this study is needed to adequate nursing intervention of type A behavior pattern in order to elevated to educational effect for prohibition of cigarette smoking.
The purpose of this study was to identify population subgroups with similar patterns of diet quality, physical activity, alcohol consumption and cigarette smoking of Korean. The cluster analysis was conducted using the data from Korea National Health Survey(KNHS) in 1995, which consisted of 5,805 persons. We identified six health behavior typologies : 32.9% of the sample had a good diet but sedentary activity level(good diet lifestyle), 7.2% had high activity level but less diet quality(fitness lifestyle). Individuals in the passive lifestyle cluster(39.1%) had no active health promoting activities but tended to avoid risk taking health behavior such as cigarette smoking and alcohol drinking. 1.1% of the sample were in a drinking cluster, 17.2% in a smoking cluster and 2.5% had a hedonic lifestyle characterized by heavy drinking and smoking. The other characteristics of these lifestyle clusters could be presented by demographic and socioeconomic factors.
Objectives: The purposes of this study were to examine the contribution of each of the Transtheoretical Model components in explaining stages of smoking cessation and to identify factors associated with the smoking cessation behavior among Korean college students. Methods: The participants for this study were 334 undergraduate students who enrolled in general education courses. Self-report surveys were distributed and returned. The survey variables comprised the stages of change for smoking cessation, self-efficacy, decisional balances and processes of change in smoking cessation. Results: Significant differences were noted in the five stages of change for self-efficacy, decisional balance, and the processes of change. The strongest factor associated with the smoking cessation behavior was self-efficacy. Conclusion: Study findings indicate application of the Transtheoretical Model may be useful to enhance future smoking cessation efforts in college students. The strategies to enhance smoking cessation self-eficacy in college students will be an important intervention component in future studies.
Hyo-jung Lee;Jeong Pil Choi;Kunhee Oh;Jin-Young Min;Kyoung-Bok Min
Journal of Preventive Medicine and Public Health
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v.56
no.6
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pp.552-562
/
2023
Objectives: Adolescents who engage in unhealthy behaviors are particularly vulnerable to anxiety. We hypothesized that participation in physical activity could influence the relationship between anxiety and unhealthy behaviors in adolescents. These behaviors include smoking, alcohol consumption, and unsafe sexual activity. Methods: This study included 50 301 students from the first year of middle school to the third year of high school, all from Korea. The unhealthy adolescent behaviors examined included current alcohol consumption, current smoking, and unsafe sexual behavior. Anxiety levels were assessed using the Generalized Anxiety Disorder-7 questionnaire (GAD-7). Results: The participants had a mean age of 15.19 years and an average GAD-7 score of 4.23. No significant differences were observed in GAD-7 score among exercising participants when categorized by smoking status (p=0.835) or unsafe sexual behavior (p=0.489). In contrast, participants in the non-exercise group who engaged in these behaviors demonstrated significantly higher GAD-7 scores (p<0.001 and 0.016, respectively). The only significant interaction was found between unsafe sexual behavior and exercise (p=0.009). Based on logistic regression analysis, within the non-exercise group, significant positive associations were observed between current smoking and anxiety (odds ratio [OR], 1.36; 95% confidence interval [CI], 1.18 to 1.57), as well as between unsafe sexual behavior and anxiety (OR, 1.33; 95% CI, 1.02 to 1.73). However, within the exercise group, no significant association was found between anxiety and either smoking or unsafe sexual behavior. Furthermore, no significant interaction was observed between unhealthy behaviors and exercise. Conclusions: These findings are insufficient to conclude that physical activity influences the relationship between unhealthy behaviors and anxiety.
This study was to find out the influence of smoking behavior in Korean adults on chronic diseases using data from the seventh Korea national health and nutrition examination survey(KNHANES VII-2) 2017. The subjects were 6,193. The data were analyzed by frequency analysis, x2 test and logistic regression analysis using SPSS 25 complex samples Win program. The main findings were that smoking age and smoking behavior were considered as early as the age of smoking, and in case of smoking in the past, the prevalence of chronic disease increased 1.30 times and 2.75 times, respectively. When the subjects' health behaviors and demographic characteristics were simultaneously corrected, the higher the age was, the more they were 0.25 times higher and 0.34 times higher than the graduate level of education. As a result, it is necessary to improve lifestyles such as obesity and lack of exercise, to reduce the prevalence of chronic disease in Korean adults, and to pay attention to younger age groups. There is a need to develop interdisciplinary convergent approaches with great interest.
Journal of the Korean Academy of Child and Adolescent Psychiatry
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v.27
no.4
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pp.306-312
/
2016
Objectives: We aimed to compare the smoking behaviors in adolescents from monocultural and multicultural families and to evaluate the associations between their smoking behavior and number of suicide attempts. Methods: The data used in this study was collected from The Tenth Korea Youth Risk Behavior Web-based Survey. The differences in the sociodemographic characteristics between the adolescents in the multicultural and monocultural families were analyzed through the ${\chi}^2$-test, and a logistic regression was conducted to evaluate the relationships between the smoking behavior and number of suicide attempts of the adolescents in multicultural families. The process involved an analysis using a complex sample design. Results: There was significant difference in the weighted rates of the current smoking behavior (13.3% vs. 8.4%, p<0.001), experience of violence (6.8% vs. 2.3%, p<0.001), and number of suicide attempts (5.4% vs. 2.7%, p<0.001) between the adolescents from the multicultural and monocultural families. In both groups, the current smoking behavior was associated with the number of suicide attempts (multicultural families OR=6.5, p=0.005; monocultural families OR=1.5, p<0.001). Conclusion: Our results showed that the percentage of current smokers in the adolescents from multicultural families was higher than that in the monocultural families and that current smoking behavior is related to the number of suicide attempts in both groups, after adjustment for age, sex, socioeconomic status, academic achievement, current smoking behavior, depressive mood and experience of violence.
Objectives: The purpose of this study is to investigate the impact of health behaviors of male workers without diabetes such as smoking, drinking and physical activities on HbA1c using 2015 and 2016 data from Korea National Health and Nutrition Examination Survey (KNHANES). Methods: The final study subjects of KNHANES were a total of 1,703 male workers in their 30s-50s who had normal levels of fasting blood sugar level, HbA1c, and hemoglobin. For the study variables, age, household income, educational level and occupation were included as socio-demographic characteristics; smoking behavior, drinking behavior, and physical activity behavior as characteristics of health behavior; and waist circumference, body mass index, systolic and diastolic blood pressures, total cholesterol, triglyceride and HDL cholesterol as medical examination characteristics were included. The analysis was conducted using independent variables t-test, one-way ANOVA, Pearson's correlation analysis and multiple regression analysis. Results: Socio-demographic factors that affect HbA1c were age, educational level, and occupation. As for HbA1c according to the status of current smoking, it was higher in order of the present, past and nonsmoking and HbA1c according to smoking amount pack-year increased linearly in between less than 1 pack-year and over 30 pack-year (p<0.001). Muscular exercises affected the reduction of HbA1c (p<0.05). In the multiple regression analysis with independent variables of the socio-demographic characteristics and health behavior, factors affecting HbA1c were age, occupation and smoking amount pack-year (p<0.05). In the multiple regression analysis where the characteristics of physical examination were added, factors affecting HbA1c were age, occupation, smoking amount pack-year, waist circumference and total cholesterol (p<0.001). Conclusions: As a result, the health behavior that had the most effect on HbA1c management for male workers without diabetes was the total lifetime smoking amount. Therefore, it is essential to prevent smoking as well as control, cholesterol to prevent diabetes for male workers.
This study is to investigate sex role identity and health behavior among university students in Seoul, during the late of 1999. The instruments for data obtainment were KSRI of Kim(1994), and Health Style : A Self-Test provided by ODPHP National Health Information Center. These instrument were reliable, showing Cronbach $\alpha$ .98 and .77. Frequency, t-test, $x^2$-test, stepwise regression were conducted for data analysis, using SAS 6.12 program. The major findings were as follows : 1. For female student. Androgeny(34.0%)type was most common and subjects of feminity type were 28.7%. In contrast, Masculinity type(41.8%) was most prevalent. and undifferentiated type was 30.1% among male students. There were significant difference between male and female student in the type of sex role identity. 2. 89.6% of all subjects were included in risk group for exercise and physical activity, 86.4% for diet habit, 43.2% for alcohol drinking and drug use, 35.6% for stress control, 32.8% for safety behavior, 24.8% for smoking. The big health risk behavior problem of male students were smoking, drinking, diet habit, and exercise. The important health risk behavior problem were diet habit and exercise. There were significant difference in smoking, drinking, exercise between sex. 3. Analysis of the distribution by sex role identity type and health behavior revealed that subjects who were undifferentiated typed group had high risk behavior in stress control, safety, exercise, drinking. Smoking and drinking were more problematic for masculinity typed group had high risk behavior in diet and exercise. The data showed that androginy typed group had more healthy behavior, compared with other sex role identity typed group for all of health behavior. Further research is need to understand the role of sex role identity in health behavior, the variables associated with them. And sex role identity has to be considered in research and practice about health promotion.
Talip, Tajidah;Murang, Zaidah;Kifli, Nurolaini;Naing, Lin
Asian Pacific Journal of Cancer Prevention
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v.17
no.7
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pp.3341-3355
/
2016
Background: A recent WHO data report on mortality attributable to tobacco use including cigarette smoking indicated a very high burden of deaths in Asia and that people often initiate smoking as early as young adolescents. The objectives of this study were to systematically review peer-reviewed articles on cigarette smoking initiation among Asian adolescents and to develop a conceptual model of factors influencing smoking initiation by integrating all relevant factors based on existing data. Materials and Methods: Following a PRISMA guideline, a systematic review of articles published between 2005 and June 2015 was conducted using 5 databases on cigarette smoking initiation among adolescents (aged 10-19 years) living in Asia. We summarized the main findings of each study according to our research questions and data that emerged during the data extraction process. Analysis and categorization were based on the TTI and TPB models and classification of factors extracted from the study, were as follows: personal factors, social factors, broader environmental factors, mediators, and intention to initiate smoking and smoking behavior. Results: Of 1,227 identified studies, only 20 were included in this review. Our findings found that the mean age of cigarette smoking initiation ranged from 10 to 14 years and those who are more likely to initiate smoking are male, older adolescents, adolescents with low parental SES, individuals with low parental monitoring, low parental education level and having no discussion on smoking at home, those living in public housing and those exhibiting health-risk behavior. Our study also revealed that the risk of smoking initiation increased when they are exposed to smokers, influenced by peers, exposed to tobacco advertisements, receive pocket money, have lack of knowledge about smoking, have poor school performance, have a family conflict and have psychological problems. The conceptual model developed demonstrated complex networks of factors influencing initiation. Conclusions: This systematic review presents various factors influencing smoking initiation of the Asian adolescents and provides a conceptual framework to further analyze factors. Future studies should have a standard measure of smoking initiation, should analyze interactions and the intensity of relationships between different factors or variables in the conceptual model. This will in turn consolidate the understanding of the different factors affecting smoking initiation and will help to improve interventions in this area.
The purpose of this study was to investigate the dietary habits of smokers and non-smokers among a few male university students residing in Changwon-si and factors that affect their smoking behavior. A self-administered questionnaire was conducted for a duration of one month in June 2015 (n=367). The results of this study showed that the breakfast skipping rate of the smoking group was significantly higher compared to the non-smoking group (p<0.001), and the smoking rate was significantly higher among those with more serious smoking problems (p<0.001). Compared to the non-smoking group, the smoking group showed significantly higher BMI (body mass index) (p<0.05) and demonstrated significant drinking habit of more liquid type yogurt among milk and dairy products and significantly more coffee mixes among fat, oils, and sugars (p<0.05). The results of multiple regression analysis showed the necessity to prepare smoking systems in school (t=-2.87, p<0.05), encumbrances to studies due to smoking (t=-3.59, p<0.001), and variables that affect smoking such as the number of close friends who smoke (t=4.17, p<0.001), BMI (t=3.08, p<0.05), and the level of problematic drinking (t=3.67, p<0.001). The results of this study suggest factors that must be considered in establishing smoking prevention education programs, anti-smoking policies, and strategies for university students.
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