Journal of the Korea Academia-Industrial cooperation Society
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v.20
no.8
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pp.47-55
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2019
This study was conducted to investigate the factors associated with electronic cigarette use by Korean adults. To accomplish this, data collected from 228,477 individuals during a community health survey conducted by the Korean Centers for Disease Control and Prevention in 2015 were analyzed by descriptive analysis, the Chi-squared test, and logistic regression analysis. The lifetime prevalence of electronic cigarette smoking was 11.1% for men and 0.8% for women. The current prevalence for electronic cigarettes smoking was 24.2% for men and 26.1% for women among lifetime users of electronic cigarettes. The lifetime experience rate of electronic cigarette smoking was significantly associated with age, educational attainment, occupation, income status and current smoking status, respectively. The current universal smoking e-cigarette is significantly related to the current smoking status, which shows a significantly higher number of current smokers than groups that have smoked in the past. The preference for electronic cigarette smoking was high. E-cigarettes were perceived by those who aimed to quit smoking as having a smoking cessation effect compared to regular cigarettes while also providing the pleasure of smoking and addressing the addiction. Therefore, e-cigarettes were highly favored because they were reflected as a solution to the dilemma of smoking. In 2014, electronic cigarette imports tripled from the previous year, and interest in electronic cigarettes is increasing worldwide. Accordingly, measures related to the prevention and discontinuation of e-cigarettes should be considered. Strengthening anti-smoking education and active promotion of anti-smoking risks is needed to improve smokers' wrong perception of smoking-related health. The WHO also reports that there is a lack of grounds to ensure or acknowledge that e-cigarettes are effective. Accordingly, it is important to identify environmental factors influencing the use of electronic cigarettes and explore the relationship between electronic cigarette recognition and use.
The incidence of urban female breast cancer has been continuously increasing over the past decade with unknown etiology. One hypothesis for this increase is carcinogen exposure from tobacco. Therefore, the objective of this study was to investigate the risk of urban female breast cancer from tobacco smoke exposure. The matched case control study was conducted among Thai females, aged 17-76 years and living in Bangkok or its surrounding areas. A total of 444 pairs of cases and controls were recruited from the Thai National Cancer Institute. Cases were newly diagnosed and histologically confirmed as breast cancer while controls were selected from healthy women who visited a patient, matched by age ${\pm}5$ years. After obtaining informed consent, tobacco smoke exposure data and information on other potential risk factors were collected by interview. The analysis was performed by conditional logistic regression, and presented with odds ratio (ORs) and 95% confidence intervals(CI). From all subjects, 3.8% of cases and 3.4% of controls were active smokers while 11.0% of cases and 6.1% of controls were passive smokers. The highest to lowest sources of passive tobacco smoke were from spouses (40.8%), the workplace (36.8%) and public areas (26.3%), respectively. After adjusting for other potential risk factors or confounders, females with frequent low-dose passive smoke exposure (${\leq}7$ hours per week) from a spouse or workplace had adjusted odds ratio 3.77 (95%CI=1.11-12.82) and 4.02 (95%CI=1.04-15.50) higher risk of breast cancer compared with non-smokers, respectively. However, this study did not find any association of breast cancer risk in high dose passive tobacco smoke exposure, or a dose response relationship in cumulative passive tobacco smoke exposure per week, or in the active smoker group. In conclusion, passive smoke exposure may be one important risk factor of urban female breast cancer, particularly, from a spouse or workplace. This risk factor highlights the importance of avoiding tobacco smoke exposure as a key measure for breast cancer prevention and control.
The Journal of Korean Society for School & Community Health Education
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v.12
no.2
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pp.29-42
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2011
Objectives: This is an explanatory correlational study to assess the level of and the relationship of the related factors of health promotion behavior by gender among college students. Methods: Subjects were 950 of the freshmen of the year 2010 at a university in a city adjacent to a metropolis, in S. Korea. Data were collected from the freshmen who understood the purpose of the study and agreed to participate during a freshmen core course using a structured questionnaire. Related factors include active- and passive-self efficacy, internal health locus of control, and social support. Related factors were compared between male and female using t-test and the relationship between the related factors and the health promotion behavior was analyzed separately for each sex, by multiple regression analysis using SPSS 12.0. Results: There were differences in the related factors of BMI between male and female students. They were alcohol behavior and perceived health status among female students while smoking status, alcohol behavior, perceived health status, and BMI among male students. Result from the multiple regression analysis revealed difference in the related factors and in the magnitude of the relationship evaluated by the standardized beta coefficients. Significant factors, listed by the magnitude of beta coefficients, among female were social support, active self efficacy, passive self efficacy, internal health locus of control, and alcohol behavior. Significant factors among male students were social support, active self efficacy, smoking, internal health locus of control, passive self efficacy, and perceived health status. Conclusions: There are gender difference in health promotion behavior and the related factors. The results suggest that the gender differences need to be considered when planning health promotion programs in college. Further research is necessary in order to draw consensus on roles of the related factors of health promotion behavior.
Objectives: The purpose of this study is to investigate the relationship between health promotion behaviors and chronic disease prevalence of Korean elderly and to provide information for preventing chronic diseases and improving health conditions of the elderly. Methods: A subset of 584 cases in the fourth Korea National Health and Nutrition Examination Survey was used for secondary analysis. Chi square test was used to compare chronic diseases prevalence by general characteristics and health promotion behaviors. Logistic regression analysis was used to identify the factors associated with chronic diseases. Results: Gender, occupation, subjective health status, smoking, and alcohol drinking have significant association with chronic diseases. Conclusions: Gender-specific health education for the elderly should be implemented at the health center, and opportunities for social participation can be enhanced through job creation for the elderly. Active campaigns on smoking cessation and moderate drinking are needed to prevent and manage chronic diseases of the elderly.
Objective : This study was performed to determine the smoking status and its associated factors in military life among young Korean men to provide data for smoking prevention in military areas as a part of the health promotion program for soldiers. Methods : 1,033 infantrymen serving in 17 military units, which are located in suburbs of K city, were enrolled in this study. A questionnaire on the soldiers smoking status and other various characteristics was obtained from October 2nd to 12th, 2000. Logistic regression analysis was performed on the various variables in order to determine the factors related to smoking. Results : 1) 830(80.3%) out of 1033 subjects had smoked cigarettes and 759 persons(73.4%) were regular smokers. 2) Among the 734 soldiers who started smoking before their military service, 714 soldiers(97.2%) continued to smoke after, while 45 soldiers(15.0%) among the 299 non-smokers started smoking after joining the army. 3) Through the logistic regression analysis. the education level. specialty in the army. smoking amongst the friends they met before military service, smoking amongst soldiers in the army. dating girl friends, drinking, satisfaction with their army lives and the presence of convenient smoking places at the barracks were significant factors related to the prevalence of smoking in soldiers. Conclusion : The factors related with incidence of smoking in the army are the complicated interactions among the individuals personal background, general characteristics of the soldier and the special environment in the barracks. Therefore, to improve national soldiers' health, an active non-smoking campaign and education should be pushed to discourage smoking in the barracks.
Background: Breast cancer is the most common malignancy of women in the world. The disease is caused by infectious and non-infectious, environmental and lifestyle factors. Tobacco smoke has been one of the most widely studied environmental factors wiith possible relevance to breast cancer. The purpose of this study was to assess the impact of tobacco smoking in breast cancer patients in a hospital based cohort and to establish prognostic implications if any. Materials and Methods: A retrospective audit of 100 women with pathological diagnosis of invasive breast cancer was included in this study. The verbal questionnaire elicited information on current and previous history of exposure to smoking in addition to active smoking. All analyses were adjusted for potential confounders, including stage at presentation, alcohol intake, hormonal replacement therapy, oral contraceptive intake, obesity and menopausal status. Results: The mean age at presentation of breast cancer was $51.4{\pm}10.86$ years. Mean age of presentation was $53.1{\pm}11.5$ and $45.7{\pm}11.9$ years in never smokers and passive smokers, respectively. Age at presentation varied widely in patients exposed to tobacco smoke for >10 years in childhood from $40.3{\pm}12.0$ years to $47.7{\pm}13.9$ in patients exposed for > 20years as adults. Among passive smokers, 60.9% were premenopausal and 39.1% of patients were postmenopausal. In never smokers, 71.4% were post menopausal. Expression of receptors in non-smokers vs passive smokers was comparable with no significant differences. Metastatic potential in lung parenchyma was slightlyelevated in passive smokers as compared to never smokers although statistically non-significant. Conclusions: An inverse relationship exists between the intensity and duration of smoking and the age at presentation and poor prognostic factors. The results strongly suggest efforts should be taken to prevent smoking, encourage quitting and restrict exposure to second hand smoke in India.
The purpose of this study was to examine the prevalence and correlated factors of sexual behavior among high school students in Seoul A sample of 233 male and 248 female high school students were analyzed using cross-tabulation and logit regression models. Correlated factors examined include type of school, level of mothers education, perceived living status of family, whether family has two parents or not, and whether students have ever lived away from the family, whether students received reproductive health education at school and whether they have friends with sexual experience, whether students have ever smoking and alcohol drinking. The prevalence of alcohol drinking was 73% among boys and 55% among girls and the prevalence of smoking was 64% of boys and 40% of girls, whereas the prevalence of sexual activity was 27% among boys and 15% among girls. Risk taking was more prevalent among boys than among girls. Multiple risk taking behavior was common for both boys and girls. Students who did not have two parents were more likely to engage in risk taking behavior than those who had two parents. For both boys and girls, the factor that affects their own sexual activity most was having a friend who was sexually active and having an experience of living away from their family also increases the odds. For girls, the factor that affects having experience of alcohol drinking and smoking. Receiving reproductive health education at school had no effect on students sexual behavior. Much higher risk taking behavior with sexual behavior among students in Seoul implies that the overall prevalence of risk taking behavior among high school students was likely to rise as South Korea continues its modernization. In-school and community health education programs need to be modified to be effective in protecting students from risk taking sexual behavior.
This study was conducted to determine the urinary nicotine and cotinine concentration in 126 smokers and 143 nonsmokers. While urine samples were being collected, personal characteristics related to smoking habit such as sex, age, number of years since a person has been a smoker, average number of cigarettes consumed per day, and number of smokers in the family were surveyed. Urinary nicotine and cotinine concentration were analyzed by GC/NPD. The smokers smoked an average 17.0 cigarettes per day and the average concentration of nicotine and cotinine was 3.88 $\mu\textrm{g}$/ml and 3.64 $\mu\textrm{g}$/ml, respectively. The average number of smokers in the family was 0.72 persons and the average concentration of nicotine and cotinine were 0.11 $\mu\textrm{g}$/ml and 0.02 $\mu\textrm{g}$/ml in the urine of non-smokers, respectively. The concentration of nicotine and cotnine in smoker\`s urine was dependent on the number of cigarettes smoked per day(p<0.01). The number of years since a person had been a smoker, and the number of smokers in the family were not associated with the concentration of nicotine and cotinine. Also there was no significant effects of passive smoking on the family of smokers by the level of nicotine and cotinine concentration. We describe the relationship between smoking habit as assessed by urinary nicotine and cotinine excretion. This study provides an evidence for the assessment of active and passive exposure to tobacco smoke.
The study aims to examine whether regular leisure activity of the elderly with active and passive types has a beneficial effect to enhance their health condition. The elderly subjects of 164 (82 of elderly who do active leisure and 82 of elderly who do passive leisure) aged over 60 years in Suwon area were employed. Survey questionnaires were administered to investigate general characteristics, life style, and health status along with anthropometric measurement. From the findings, the elderly who do active leisure were highly educated and better in living status. The elderly who do passive leisure showed higher drinking and smoking rates as well as higher obesity and overweight rates in comparison to the other counterpart. Furthermore, the elderly who do passive leisure were poor in health status. 'Painful knee and eye', 'lower back pain', and 'fatigue' were the most prevalent among subjective symptoms of the elderly. In conclusion, the elderly with active leisure activity seemed to have better life style and maintain good health status. Therefore, it is critically important to establish the health program combined with various leisure activity for the seniors to promote and energize the later years of life.
Chronic diseases such as cancer, cardiovascular diseases, are the leading cause of death and disability in Korea since 1970 due to lifestyle change introduced by urbanization & industrialization. The type of cancer and cardiovascular diseases changes as lifestyle becomes westernized. These diseases account for 4 of every 10 deaths and affect the quality of lift of Koreans. Although chronic diseases are among the most common and costly healthy problems, they are also preventable. Adopting healthy behaviors such as quitting smoking, being physically active, eating right with moderate alcohol drinking, and maintaining healthy weight can prevent or control the effect of these diseases.
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