• The Journal of Korean Society for School & Community Health Education
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• v.17 no.2
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• pp.31-44
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• 2016

Objectives: This study was aimed at finding out the current smoking situation of workers in the field of railroad electricity and vehicles and changes of their smoking behaviors after the raise of price of tobacco in 2015. Methods: With a self-administered questionnaire conducted from February 9 to March 6 2015, one-way ANOVA and crosstabs(PASW Statistics Ver. 18.0) were conducted on the data of 626 people. Results: As the result, the smoking rate was 39.1% and 90.5% of the smoking experienced group showed some changes including cutting down on smoking due to raise of price of tobacco. Factors related to smoking included stress, the number of times of drinking, awareness of harmfulness of smoking, the number of days with hard exercise per week and the marital status. Conclusion: Therefore, it is assumed that there is necessity of top-down intervention using these factors to cut down the smoking rate.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.11
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• pp.273-281
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• 2019

The purpose of the study was to analyze smoking impact factors, knowledge about effects of smoking and effects of oral health-related quality of life. The subjects were 165 male dental clinic visitors. The survey was conducted from November to December 2018. The examinations were smoking impact factors, knowledge about effects of smoking on oral health, oral health-related quality of life, and recognition of smoking cessation support in dentistry. Survey data were analyzed using statistical programs of PASW Statistics ver. 18.0. Smoking groups were more stressful than non-smoking groups(13.0, 9.97) and drinking frequency was higher(2/week, 0.96/week)(p<0.05). Smoking had a significant correlation with stress(r= .283, p<0.001) and stress with OHIP(r= -.263, p<0.001). Regression results show that stress and frequency of drinking are significant factors(p<0.05). Smoking cessation support service was recognized by 32.9 %, but experience of service was only 19.4 %. Smoking cessation support of dentistry was answered positively by 65.5 %. The above results reveal the need for stress and drinking control, oral health education, and active support of oral health professionals for smoking cessation.

• Asian Pacific Journal of Cancer Prevention
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• v.15 no.10
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• pp.4359-4366
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• 2014

Intention to smoke is a valid and reliable factor for predicting future smoking habits among adolescents. This factor, however, has received inadequate attention in Malaysia. The present paper elaborates the prevalence and factors associated with intent to initiate or to cease smoking, among adolescent nonsmokers and smokers in Kota Tinggi, Johor, Malaysia. A total of 2,300 secondary school students aged 13-16 years were selected through a two-stage stratified sampling method. A set of standardized questionnaires was used to assess the smoking behavior among adolescents and the inter-personal and intra-personal factors associated with smoking intention (intention to initiate smoking or to cease smoking). Multivariable logistic regression was used to identify factors related to smoking intention. The prevalence of intention to smoke in the future or to cease smoking among non-smoking adolescents and current smokers were 10.7% and 61.7% respectively. Having friends who smoke, social influence, and poor knowledge about the ill effects on health due to smoking showed significant relationships with intention to smoke in the future among non-smokers. Conversely, perceived lower prevalence of smoking among peers, weak contributory social influence, and greater awareness of the ill effects of smoking are factors associated with the intention to cease smoking sometime in the future. The study found that prevalence of intention to initiate smoking is low among non-smokers while the majority of current smokers intended to cease smoking in the future. Existing anti-smoking programmes that integrate the factors that have been identified in the current study should be put in motion to reduce the prevalence of intention to initiate smoking and increase the intention to cease smoking among adolescents.

• Tuberculosis and Respiratory Diseases
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• v.84 no.2
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• pp.140-147
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• 2021

Background: For generations, cigarette smoking has presented an important public health concern. This study aimed to compare the health-promoting behavior, exercise capacity, physical activity level, health literacy, and knowledge level of smoking-related diseases between smokers and non-smokers. Methods: The study included 71 smokers (mean age, 32.69±8.55 years) and 72 non-smokers (mean age, 31.88±9.94 years) between the ages of 20 and 60 years. Assessments included a 6-minute walking test (6MWT), Godin Leisure-Time Physical Activity Questionnaire, Health-Promoting Lifestyle Profile II (HPLP-II), Cardiovascular Risk Factors Knowledge Level Scale (CARRF-KL), Asthma/COPD Awareness Questionnaire, the World Health Organization Quality of Life-Bref questionnaire (WHOQoL-Bref [TR]), and Health Literacy Questionnaire (HLQ). Results: The results from the study show that the number of coronary artery disease risk factors measured significantly higher among the smoker group members when compared to that of the non-smoker group members (p=0.001). Smokers had significantly lower %6MWT distance than non-smokers (84.83±4.72 and 93.45±7.16, respectively; p<0.05). However, there were no significant differences between the smokers and non-smokers in terms of physical activity, CARRF-KL, HLQ, WHOQoL-Bref, and HPLP-II subscales or total scores (p>0.05). Additionally, while only forty-one smokers (57.7%) were active, 48 of the non-smoker group was active (66.7%). Conclusion: Smokers suffer greater negative effects to their exercise capacity in comparison to non-smokers. Although smokers and non-smokers have similar levels of health literacy and similar levels of knowledge about cardiovascular disease risk factors and obstructive lung diseases, health professionals could continue to further increase individuals' awareness of smoking-related risk factors and continue to emphasize the importance of physical activity and exercise for protecting cardiopulmonary health.

• Journal of Convergence for Information Technology
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• v.7 no.4
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• pp.205-213
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• 2017

This study was conducted to identify convergence factors affecting smoking behavior among college students through the lens of a Health Belief Model. A descriptive study was carried out with 417 college students in Jeju, South Korea. Descriptive statistics and multiple regression analysis were performed using the SPSS 19.0 program. The results showed that sex(t=-7.44, p<.001), pocket money(t=-2.06, p=.040), smoking in the family(t=4.43, p<.001), smoking of close friends(t=9.59, p<.001), and perceived barriers(t=0.87, p=.014), cues to action(t=6.33, p<.001) were statistically significant variables influencing smoking. These findings indicate that among smoking-related and health belief-related variables needs to be considered for preventive and therapeutic approach to stop smoking in college students.

• Research in Community and Public Health Nursing
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• v.11 no.1
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• pp.209-221
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• 2000

I began the study to identify the issues related to knowledge. attitude and behavior regarding smoking by sixth graders. which will ultimately lead to the development of a smoking prevention program that will not only help deter school-age children from smoking, but also make them aware of the more desirable behaviors and techniques for healthier life. The results are as follows: 1. Smoking Behavior: Of the focus group. 4.15% are current smokers and 18.23% are ever smokers. 2. Correlation between smoking knowledge and ever smoking: Ever smoking sample($11.10{\pm}3.66$) is less knowledge able than the never-smoking sample($12.17{\pm}3.95$), (t=3.23. p=.001). 3. Correlation between smoking attitude and ever smoking: Ever smoking sample($28.12{\pm}8.51$) was less desirable than the never-smoking sample($l2.17{\pm}3.95$). (t=8.24, p=.000). 4. Correlation between smoking Knowledge and smoking attitude: knowledge about smoking and attitude toward smoking are quantitatively correlated in such way that the more knowledgeable the child is about smoking. the more desirable the attitude toward smoking is(r=.17. p=.000). 5. Correlation between socio-anthropological characteristics and ever smoking: family . atmosphere($x^2$=16.49. p=.001), school life ($x^2$=l1.58, p= .003), grades in school( $x^2$=11.89. p=.003), gender($x^2$=8.97. p=.003). friends' gathering place($x^2$=13.19. p=.02), marital status of parents(p* =.03). and family's financial status($x^2$=6.71. p=.035). In addition, Correlation between somking-environmental characteristics and ever smoking: number of friends who smoke($x^2$=76.01. p=.001). information source for smoking($x^2$=48.03. p=.001), whether or not siblings smoke($x^2$=26.07, p=.001), whether or not female relatives smoke ( $x^2$= 15.65. p= .001), whether or not father smokes ($x^2$= 12.10. p= .007), errands to buy cigarettes for someone($x^2$=9.18. p=.010), and whether or not male relatives smoke ($x^2$=8.82. p=.35) 6. Results of the logistic analysis performed to identify the factors correlated to ever smoking show that: one point decrease in attitude score translates to 25.39 times' increase in ever smoking one person decrease in the number of friends who smoke translates to 0.66 times' decrease in ever smoking: the group where the father has quit smoking has 1.40 times more ever smoking than the group where the father does not smoke at all: and likewise, the group where the father currently smokes has 1.40 times more ever smoking than the group where the father has quit smoking. 7. The overall cause-and-effect relationship between the ever smoking and the related factors: attitude toward smoking caused ever smoking by -.43, smoking by friends, by .12, marital status of arents, by .05, school life. by .04, gender, by -.03, and smoking by father, by -.02. Knowledge about smoking (t=-1.67) did not cause significant effects on ever smoking.

• Journal of the Korean Society of School Health
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• v.31 no.3
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• pp.186-195
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• 2018

Purpose: This study was performed to investigate the dietary behaviors and stress-related factors among male and female college students. Methods: A total of 405 college students (male-195, female-210) were recruited, of whom a questionnaire-based survey was conducted. The study investigated the general characteristics, health-related factors, dietary behaviors, and stress-related factors of the respondents. Results: The body mass index was significantly higher in males. The rates of underweight and overweight were significantly different between male and female respondents. The scores for workout frequency, health concerns and health condition were significantly higher in males, while the score for watching TV & playing computer games was significantly higher in females. The scores for meal regularity, frequency of breakfast consumption, and smoking were significantly higher in males. Eating problems showed a significant difference between males and females. The biggest source of stress was social factors, followed by college study and individual factors and the most experienced stress-induced symptom was anxiety, followed by headache and stomachache. The most popular way to overcome stress was taking a rest, followed by drinking & smoking and outdoor activity. The most preferred food under stressful conditions were alcohol or beverages, followed by hot & spicy food and sweet food, which showed a significant difference between males and females. Conclusion: These results indicate that stress affects dietary behaviors, drinking, smoking, and health status. Stress not only changes dietary behaviors, but is also related to health status. Therefore, it is necessary to develop appropriate programs for emotional stability and stress relief targeting college students which provide continuous nutrition education focused on desirable dietary behaviors and nutritional aspects.

• Asian Pacific Journal of Cancer Prevention
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• v.17 no.sup3
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• pp.65-70
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• 2016

Lung cancer is one of the most common malignancies in the world. Its incidence and mortality rates are on the rise in Pakistan. However, epidemiological studies to identify common lung cancer determinants in the Pakistani population have been limited. In this study, data of 440 cases and 323 controls were collected from different hospitals in Peshawar and Islamabad, along with information about socio-demographic factors including age, sex and smoking. Univariate and multi-factorial analyses of socio-demographic factors in association with each other were also performed. Overall survival analysis highlighted that, out of 440 patients in the lung cancer dataset, 204 people were uncensored with a median survival time of 13 months (95% CI=12-18). There were 41 femaleand 399 male patients. Differences were observed between length of survival in the males and females (${\chi}12$ = 6.1; p-value = 0.01). Gender was observed to be significantly related to survival (p-value< 0.01), with better survival in females (hazard ratio=2). Cox regression was extended to adjust for the covariate age (z = 2.5; p-value = 0.02). Survival analysis was also performed on the basis of smoking groups (current smokers, former smokers and never smoked individuals) and smoking duration (smoking duration >10 years, <10 years and never smoked). Smoking duration was significantly associated with survival (p-value < 0.01), with better survival in never smokers in comparison to both smoking for greater or less than 10 years. Strong associations were observed for smoking group with duration greater than 10 years, OR=6.1(3.9-9.5) on univariate and multifactorial analysis OR=11.3(CI=6.8-19.3).

• Journal of Korean Academy of Fundamentals of Nursing
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• v.21 no.3
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• pp.253-263
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• 2014

Purpose: This study was done to explore the predictors asssociated with Korean women smokers' intentions to quit smoking. Methods: This study was a cross-sectional study including 3,578 women smokers. Data from the 2010 Community Health Survey conducted by the Korea Centers for Disease Control and Prevention were examined and analyzed using SPSS 21.0 for multiple logistic regression. Results: Of the women smokers 52.2% reported having an intention to quit smoking but only 3.9% had received education in smoking cessation. In the logistic analysis, factors associated with intention to quit smoking were age (Odds ratio and 95% [confidence interval]: 0.97 [0.96-0.98]), health-related quality of life (OR=2.39 [1.14-5.03]), perceived stress (OR=1.11 [1.00-1.22]), marital status (OR=0.93 [.86-1.00]), age of starting to smoke (OR=1.14 [1.04-1.24]), number of cigarettes per day (OR=0.84 [0.76-0.93]), exposure to smoking-quitting campaigns (OR=1.48 [1.22-1.80]), previous attempts at weight-control (OR=1.37 [1.15-1.63]), frequency of alcohol use (OR=1.16 [1.01-1.34]), hypercholesterolemia (OR=1.62 [1.18-2.24]), experiences of trying to quit smoking (OR=4.04 [3.45-4.73]), and regular medical check-up (OR=1.13 [1.03-1.43]). Conclusion: Identifying factors associated with the intentions to quit smoking provides possibilities for shaping effective policies and programs to increase smoking cessation among Korean women.

• Journal of Korean Public Health Nursing
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• v.33 no.3
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• pp.340-353
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• 2019

Purpose: This study was conducted to compare and analyze the smoking-related social-ecological factors affecting attempts to quit smoking by adolescents using tobacco cigarettes only and also those adolescents using tobacco cigarettes along with electronic cigarettes. Methods: This study, as secondary analysis research, used the raw data from the 14th Korea youth risk behavior survey 2018. The data was analyzed by frequency analysis, the Rao-scott χ²-test and logistic regression analysis when considering the complex sample's analysis. Results: On logistic regression analysis, during their first smoking period, intense physical activities and having friends who smoked were associated with significantly more attempts to quit smoking by cigarettes smokers, and their first smoking period and experiences of undergoing smoking cessation education were associated with significantly more attempts to quit smoking for dual smokers of both tobacco cigarettes and electronic ones. Conclusion: As a result of this study, we identified the need to differentiate different types of smoking cessation counseling and education according to the types of smoking in adolescents.