• Journal of Preventive Medicine and Public Health
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• v.28 no.4 s.51
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• pp.875-884
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• 1995

In order to investigate the level of lead exposure of workers in litharge making industry and to evaluate how lead exposure, personal habit such as smoking and drinking affect the prevalence of lead related symptoms and other study variables, we investigate 114 workers(24 office workers and 90 lead exposed workers) in a litharge making industry. Study variables chosen were blood lead(PbB), zinc protoporphyrin in whole blood(ZPP), Hemoglobin(Hb), hematocrit (Hct), SGOT and SGPT symptom questionnaires which had 15 lead exposure related symptoms were provided to all workers and filled up by themselves and reconfirmed by physician. The results obtained were as follows; 1. The mean value of PbB, ZPP and SGOT in lead exposed group were higher than those of non-exposed group, and there were no differences of means in other study variables. 2. The smoking and drinking rate of study subjects were 65.8% and 71.0% as a whole. Smoking rates were lower in non-exposed group than exposed group, but drinking rate were not. 3. There were no differences of mean values of study variables between smoker and non-smoker in non-exposed and exposed group, but there was a difference of mean value of SGOT between drinker and lion-drinker in lead exposed group. 4. While the symptom prevalence of lead exposed group were higher in neuromuscular category than non-exposed group, those of non-exposed group were higher or same with exposed group in gastrointestinal and general symptom category. 5. The symptom prevalence of smoker were higher than non-smoker regardless of exposure. 6. The symptom prevalence of drinker were only higher in gastrointestinal symptom category than non-drinker. 7. In multiple stepwise regression analysis of lead related symptoms as dependent variable and blood lead, smoking habit, drinking habit and work duration as independent variables, drinking habit contributed to the gastrointestinal symptom category, whereas blood lead and smoking contributed to the neuromuscular symptom category. For the total symptoms work duration and smoking habit contributed significantly.

• The Korean Journal of Food And Nutrition
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• v.31 no.5
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• pp.604-615
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• 2018

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.

• The Journal of the Convergence on Culture Technology
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• v.8 no.2
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• pp.291-298
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• 2022

This study is a descriptive study to investigate the association between current smoking, high-risk alcohol drinking and depressive symptoms among female college students. The participants were 515 female college students, and data collection was conducted through online and mobile surveys from September 2020 to August 2021. Multivariable ordinal logistic regression analysis was performed to investigate the association between current smoking, high-risk drinking and depressive symptoms, and as a result, current smoking was significantly associated with depressive symptoms (OR= 2.524, 95% CI=1.051-6.061). Therefore, in order to improve the depressive symptoms of female college students, adequate support such as reducing the smoking rate through active smoking cessation education and preparing various on-campus programs should be provided.

• Korean Journal of Health Education and Promotion
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• v.23 no.1
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• pp.23-43
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• 2006

Objectives: To investigate the drinking behavior and related factors of community residents in G city. Methods: Examination was executed with questionnaire to 1973 adults. Data were collected from October 1, 2005 to November 16, 2005. Drinking behavior involves rate of drinking, frequency of drinking, age of starting drinking, drinking amount, rate of attempts to drink moderately and reasons for reducing drinking. Related factors involves the general characteristics, the habits of health behaviors. This was analyzed with frequency, percentage, mean, standard deviation, x2-test, t-test, ANOVA and logistic regression. Results: The drinking rate of the respondents was 67.4%, that rate of male was 83.1%, while that rate of female was 52.5%. The drinking rate was higher in groups of younger aged and highly educated people than that rate of the other groups. The highest level of drinking frequency was ones or twice a week. The drinking frequency of those who drank more than three times weekly was higher in the groups of male, old aged, married people, low educated people, rural residents, farmers or fisherman or laborers and those who unemployed or who did not exercise frequently and control their body weight. These individuals also preferred salty food and meat and fish, dined out frequently, did not visit dental clinic regularly, and tend to be smokers. The mean of the age of starting drinking was 21.17 year-old, that of males was 19.94 year-old, that of females was 22.82 year-old. The mean of the age of starting drinking was lower in groups of male, young aged, unmarried, college educated, rural residents, clerks, high monthly income, healthy and no illness, and smokers than that of the other group. The average of the drinking amount was 5.77 pack, that of males was 7.41 pack, and that of females was 3.31 pack. The drinking amount is much more in groups of males, fifties, unmarried, college educated, rural residents, self-employed, healthy people, and smoker than the other. 33.4% of the respondents attempted to drink moderately. According to the reasons of trying to drink moderately, the rate of prevention illness was highest. Conclusions: The variables of influencing drinking were sex, marital status, education, smoking, monthly income, health status, and stress.

• Korean Public Health Research
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• v.44 no.4
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• pp.51-65
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• 2018

Objective : Smoking can increase the risk of secondary conditions for people with disabilities, which can in turn counteract primary disorders and exacerbate existing disorders. More active interventions for smoking cessation are necessary for people with disabilities because the physical condition of people with disabilities is more vulnerable, and risk factors such as smoking, drinking, obesity, and stress can have a decisive influence on people with disabilities compared to non-disabled people. Methods : In this study, the subjects who participated in National Health and Nutrition Survey of 2013 were those aged over 19 and smoker. The final 299 people with disability and 4,260 people without disability were analyzed. Results : Current smoking rate was 21.5% of non-disabled people and 21.4% of disabled people respectively. Factors influencing the current smoking rate of the disabled people were analyzed by type of household, economic status, home ownership, drinking, binge drinking, activity limit. Conclusions : In order to reduce socioeconomic inequalities of smoking and to actively intervene with the disabled, there need a new approach strategy focusing on people with disabilities.

• Journal of Preventive Medicine and Public Health
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• v.44 no.2
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• pp.84-92
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• 2011

Objectives: This study aimed to investigate smoking relapse and the related factors within 1 year after discharge from the smoking cessation clinics (SCCs) of public health centers (PHCs). Methods: Data were collected with a structured questionnaire from 395 people who success fully stopped smoking at 4 SCCs in Busan between May and June 2009, and this data were analyzed by Kaplan-Meier survival curves and the Cox proportional hazard model. Results: The rate of smoking relapse within 1 year after discharge from SCCs was 39.2% and this decreased rapidly over 6 months after discharge. The factors related to smoking relapse within 1 year after discharge from SCCs were being female (HR, 2.11; 95% CI, 1.17 to 3.82), a trial of smoking cessation with any assistants (HR, 1.95; 95% CI, 1.19 to 3.19), more than 7 ppm of exhaled CO2 on the SCCs' registration (HR, 1.81; 95% CI, 1.24 to 2.64), use of pharmacotherapy after discharge from SCCs (HR, 2.00; 95% CI, 1.36 to 2.93), alcohol drinking more than once a week after discharge from SCCs (HR, 3.32; 95% CI, 2.15 to 6.78), and a perceived barrier (HR, 1.21; 95% CI, 1.14 to 1.30) after discharge from the SCCs. Conclusions: According to the results, at least 6 months follow-up after discharge from SCCs of public health centers is recommended to reduce the rate smoking relapse. It is also recommended to strengthen the education on how to overcome barriers such as drinking in the course of smoking cessation clinics.

• Research in Community and Public Health Nursing
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• v.16 no.1
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• pp.40-48
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• 2005

Purpose: This study was performed to identify the relationship between stress perceived by middle school students and social support level and to investigate the factors affecting middle school students' smoking behavior. Method: The data was collected from four hundred and thirteen students of one boys' middle school and one girls' middle school. Data were analyzed by using SPSS 11.5 Win Program. Result: Smoking rate was higher in girls than boys. The factors affecting smoking behavior were drinking (OR=67.62, P<0.01), having one parent or no parents(OR=9.98, P<0.05), and higher material support(OR=4.67, P<0.05). Conclusion: This results showed that smoking prevention program is needed for girls' middle school students. To prevent smoking, teachers should help students to cope with stress from schools and their environments with careful guidance, and organized support for the student with one parent or no parents should also be established. Furthermore, guidance in student's relationships with peers is needed regarding appropriate allowance, drinking, or substance use.

• Journal of the Korean Society of School Health
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• v.25 no.1
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• pp.77-84
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• 2012

Purpose: The purpose of this study was to examine the relationship between health behavior and residence types of university students. Methods: Using a quota sampling method by gender and residence type, 364 male and female students (126 students who live in their own house (SH), 123 students who live in board themselves (SB), and 115 students who live in a dormitory (SD)) were selected from one university in Ulsan. Five categories on smoking, drinking, exercise, eating, and sleeping were used to describe health behavior of the participants. Results: Difference of smoking, drinking, eating, and sleeping habits was existed in classifications of residence types of participants. Regarding the current smoking rate, frequency of drinking, and amount of drinking, the result of SB was higher than that of SH or SD. The score of eating habit of SB was lower than that of SH or SD. SD exercised much less than SB or SH. Conclusion: To prevent aggravation of SB health habits, an education program for comprehensive health promotion is needed for university students to improve their smoking, drinking, exercise, and eating habits.

• Research in Community and Public Health Nursing
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• v.21 no.4
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• pp.502-511
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• 2010

Purpose: The purpose of this study was to investigate the influencing factors of influenza vaccination in the elderly participating in lifetime transitional health examination. Methods: This study was a secondary analysis of data collected from lifetime transitional health examination (for 66-year-old people) conducted by the National Health Insurance Corporation (NHIC) from January 1 to December 31, 2008. Questionnaires were received from NHIC to obtain information regarding gender, chronic diseases, health-related behaviors, and ADL. A total of 255,333 participants who responded all the questions in the questionnaire were included in the analysis. Collected data were analyzed by descriptive statistics, ${\chi}^2$ test, and multiple logistic regression. Results: The influenza vaccine coverage rate in 66-year-old people was 66.1%. The influenza vaccine coverage rate was higher in female elders and those with hypertension, diabetes, heart disease or past smoking, and lower in those with stroke, current smoking, drinking, no-exercise or ADL-dependency. Conclusion: Strategies for improving the influenza vaccination coverage rate in the elderly are needed. The strategies should give priority to the elderly with current smoking, drinking, and no-exercise, and home visiting programs are needed for the elderly with stroke and ADL-dependency.

• Korean Journal of Occupational Health Nursing
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• v.18 no.1
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• pp.55-70
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• 2009

Purpose: This study was done to investigate the effect of non-smoking campaign for subway workers on their health behavior such as smoking, drinking, and exercise. Method: The study was done on the subjects of 112 male employees for 3 years from 2003 to 2005 working at the Seoul Metropolitan Rapid Transit Corporation. However, the subjects decreased to 105 in 2004 and 111 in 2005 due to work transfer. The data were obtained through administering questionnaires. The non-smoking campaign was done with health education using various strategies and methods by an administrator-in-charge assisted by the community health center. Results: Smoking rate and cigarette consumption decreased but there was no statistical significance. Smokers' frequency of drinking and exercise were higher than that of non-smokers, but there was no statistical significance. Conclusion: The result indicated the program was not effective to change the subjects' health behavior; therefore, tailored program considering the subjects is recommended.