• Women's Health Nursing
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• v.6 no.4
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• pp.528-548
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• 2000

The purpose of this study was to identify the effect of college women s active and passive smoking on menstrual discomfort. The subjects were 252 college female students (active smokers, 71; people who passively inhaled others smoke, 104; nonsmokers who also didn't inhale others smoke, 77). Subjects were selected from 5 colleges in North Kyong Sang Province, Korea. Data was collected from March to June of 2000 with a structured questionnaire. The instruments used for this study were the revised Menstrual Distress Questionnaire (MDQ) developed by Moos(1968), general characteristic, menstrual characteristic, and smoking characteristic scale developed by researchers. The data were analysed by the SPSS/PC+ program. The results were as follows 1. There was no statistically significant difference of menstrual discomfort level among the active smokers, those who passively inhaled others smoke, and who did not inhale others smoke(F= 2.613, p= .075). 2. The mean score of menstrual discomfort was moderate(M= 60.8008, SD= 17.9243). The level of menstrual discomfort was various (minimum score 29.00- maximum score 110.0). 3. Factors influencing menstrual discomfort were on life stress events(F= 4.057, p = .045), irregular menstrual cycle(t = 3.968, p = .047), and amount of flow during menstruation(F = 4.018, p = .019). The recommendations from this study are necessity of further studies to investigate how heavy active and passive smoking have effect on menstrual discomfort.

• Archives of Craniofacial Surgery
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• v.25 no.2
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• pp.51-61
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• 2024

Background: The influence of smoking on nonsyndromic clefts has been a topic of research for many years. However, few studies have investigated the effect of smoking on causing clefts in different gene pools. Methods: A meta-analysis was conducted of case-control studies related to smoking. Keywords such as "clefts," "cleft lip," "cleft palate," "orofacial cleft," and "smoking" were used to search the MEDLINE, Embase, and Cochrane databases. Results: In total, 51 articles were reviewed. The RevMan software was utilized for the analysis, and the Mantel-Haenszel method was employed to pool the odds ratios (ORs) and 95% confidence intervals. Although the overall OR, a measure of the association between exposure and outcome, was higher for smokers than for non-smokers, this association was significantly stronger in individuals from Asia and South America (1.73), and lowest in Europe (1.31). Among active and passive smokers in Asia, the OR was approximately 0.93, indicating an equivalent impact from both types of smoking. Conclusion: This analysis indirectly suggests that restriction measures targeting both active and passive smoking are crucial in Asia.

• Korean Journal of Psychosomatic Medicine
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• v.4 no.2
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• pp.182-197
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• 1996

For the purpose of examining the relationship between smoking, perceived stress and vulnerability factors, and furthermore suggesting interventions to reduce excessive smoking and prevent nicotine dependency effectively, the questionnaires of perceived stress(stressful experiences), ways of stress coping(passive and active copings), smoking motives, social influence, age, amounts of smoking, and nicotine dependency were administered to smokers among medical students in Chosun university(n=186). 1) As a result of classifying smokers by the types of smoking, the most was a type of smokers to reduce negative emotions and the next in order were addictive smokers, smoker for stimulation, smoker for pleasure, etc. 2) The effects of motive, age, and active coping style were significant, but the effects of perceived stress, passive coping style, and social influence were not significant in average amount of daily smoking. 3) The effects of motive, social influence, and age were significant, but the effects of perceived stress, passive and active coping styles were not significant in the degree of nicotine dependency. To summarize, it is concluded that there were a lot of people who smoke to solve negative emotions, but the direct effects of perceived stress and passive coping style on both average amounts of daily smoking and the degree of nicotine dependency were not significant. On the other hand, motive, age, active coping style, and social influence were proved to be more important variables than the others in explaining college students' smoking.

• Journal of Korean Academy of Nursing
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• v.34 no.6
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• pp.1004-1013
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• 2004

Purpose: The purpose of this paper was to describe the characteristics of smoking prevention programs in Korea, to estimate overall effect size of Korean smoking prevention programs, and to investigate effect size variations by program modality and instruction method. Method: Meta-analysis was performed on2l programs in 20 studies. Result: The estimation of overall effect size for knowledge and attitude was not possible because effect sizes were not homogeneous in this meta-analysis. However, effect sizes of studies that were socially influential programs or active/interactive methods were larger than information-oriented programs or passive/non-interactive methods in the pictures. The effects for behavioral outcomes were generally not as positive and not statistically significant. Q statistics showed that variations among effect sizes within program modality and instruction method classifications were heterogeneous. Conclusion: The results from this meta-analysis support the continued use of socially influential programs and active/interactive methods for smoking prevention programs. Because behavioral effect might be the fundamental objective of smoking prevention programs, the present results indicate that smoking prevention programs should consider adopting more effective programs.

• Asian Pacific Journal of Cancer Prevention
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• v.14 no.2
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• pp.993-996
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• 2013

To evaluate the relation between smoking, alcohol drinking and risk of breast cancer in Chinese women, we conducted a case-control study with 669 cases and 682 population-based controls in Jiangsu Province of China. A structured questionnaire was used to elicit detailed information. Unconditional logistic regression analysis was performed to calculate odds ratios (ORs) and 95% confidence intervals (CIs). The results revealed that smoking, whether active or passive through the husband, was related to increased risk of breast cancer. The ORs (adjusted for age, menopausal status, educational levels, occupation, body mass index and income) were 3.55 (95%CI: 1.27-9.91) for active smoking and 1.47 (95%CI: 1.18-1.84) for passive smoking from husbands, respectively. A significant positive relationship was observed between breast cancer risk and the degree of husbands' smoking. There were significant increase trend in ORs with the daily smoked number of cigarettes of husbands, the passive smoking years from husbands and the pack-years of husbands' smoking (trend test: p=0.00003, 0.00013 and 0.0001, respectively). Alcohol consumption was also found to be a risk factor. The findings of this study in particular suggest that husbands' smoking increases risk of breast cancer in Chinese women.

• Journal of Korean Biological Nursing Science
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• v.21 no.2
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• pp.114-122
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• 2019

Purpose: The purpose of the study was to examine the relationship between smoking attitude and coping skills toward secondhand e-cigarette smoking among nonsmoking college students. Methods: This study was conducted with 148 students from a University in Seoul, Korea. Participants completed questionnaires and the data were analyzed using a T-test, ANOVA, and Pearson's correlation coefficients. Results: The mean score of smoking attitude is $51.35{\pm}4.73$. The mean score of coping skills is $13.89{\pm}2.53$ in verbal skills, $10.16{\pm}2.37$ in behavioral skills, and $8.32{\pm}2.30$ in assertive skills. Coping skills toward secondhand smoking are noted as being different by current cohabitation smoker. A significant relationship between smoking attitude and behavioral coping skills(r = .23, p= .004) was found, which means that a better smoking attitude was correlated with more active behavioral coping skills. Conclusion: The results showed that nonsmoking college students with better smoking attitude react to the E-cigarette smoking with more active behaviors. Therefore, interventions are needed to be developed to encourage better smoking attitude and coping skills toward secondhand E-cigarette smoking.

• Asian Pacific Journal of Cancer Prevention
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• v.14 no.12
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• pp.7725-7730
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• 2013

Objective: The purpose of this study was to evaluate secondhand smoke (SHS) exposure inside selected public places to provide basic data for the development and promotion of smoke-free policies. Methods: Between March and May 2009, an SHS exposure survey was conducted. $PM_{2.5}$ levels and air nicotine concentrations were measured in hospitals (n=5), government buildings (4), restaurants (10) and entertainment venues (10) in Seoul, Republic of Korea, using a common protocol. Field researchers completed an observational questionnaire to document evidence of active smoking (the smell of cigarette smoke, presence of cigarette butts and witnessing people smoking) and administered a questionnaire regarding building characteristics and smoking policy. Results: Indoor $PM_{2.5}$ levels and air nicotine concentrations were relatively higher in monitoring sites where smoking is not prohibited by law. Entertainment venues had the highest values of $PM_{2.5}$(${\mu}g/m^3$) and air nicotine concentration(${\mu}g/m^3$), which were 7.6 and 67.9 fold higher than those of hospitals, respectively, where the values were the lowest. When evidence of active smoking was present, the mean $PM_{2.5}$ level was 104.9 ${\mu}g/m^3$, i.e., more than 4-fold the level determined by the World Health Organization for 24-hr exposure (25 ${\mu}g/m^3$). Mean indoor air nicotine concentration at monitoring sites with evidence of active smoking was 59-fold higher than at sites without this evidence (2.94 ${\mu}g/m^3$ vs. 0.05 ${\mu}g/m^3$). The results were similar at all specific monitoring sites except restaurants, where mean indoor $PM_{2.5}$ levels did not differ at sites with and without active smoking evidence and indoor air nicotine concentrations were higher in sites without evidence of smoking. Conclusion: Nicotine was detected in most of our monitoring sites, including those where smoking is prohibited by law, such as hospitals, demonstrating that enforcement and compliance with current smoke-free policies in Korea is not adequate to protect against SHS exposure.

• Journal of Environmental Health Sciences
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• v.28 no.3
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• pp.26-33
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• 2002

Adolescents exposed chronically to tobaccotobacco smoke have been found to have reduced pulmonary function as well as an increased risk of lung cancer and a serious heart disease. Consequently, reducing exposure to tobacco smoke is an important public health goal. This study was conducted to develope the exact evaluation method of student smoker or heavy exposure from ETS, and the change on smoking behavior and attitude after a stop-smoking program. From the study, we concluded that the cotinine concentrations in saliva from students indicate exactly whether they are smoker or not. Also, it was found that the more and exact informations from both the cotinine analysis and the questionnaire were obtained than from only the questionnaires. The non-smokers had more positive effects on the changes of cog-nitions, behaviors and attitude about passive-smoking after a stop-smoking program than the smokers. The results of this study show that through both the accurate determination of cotinine in saliva and the questionnaires, the smoking status and the tobacco education effectiveness can be predicted.

• Child Health Nursing Research
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• v.4 no.1
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• pp.128-149
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• 1998

Cigarette smoking has been identified as the single most important source of preventable morbidity and mortality. Smoking behavior varies each individual, so individuality & subjectivity of smoking behavior must be specially focused upon to understand smoking behavior. The purpose of this study was to find attitudes of university students in the prediction of smoking behavior. Q-Methodological method was used as a research design and data were collected during the period from Jan.1, 1997 to Feb. 28, 1998. As the research method, Q-statements were collected through in- depth interviews and a literature review. For the study 33 Q-statements were selected. There were 45 university students as subjects for the research. The 45 university students sorted the 33 statements using the principle of Forced Normal Distribution. The principle of Forced Normal Distribution, which has nine scales to measure the individual opinions, Pc Quanl program was used for analysis and Q-factors were analyzed by using principal component analysis. According to the results of this study, there were four categories of opinion about the smoking behavior in university students. The first type is seeking the habitual dependency. The second type is seeking the stress relief : The third type is seeking the active disapproval : The fourth type is seeking the self control. As a result, The meaning of the smoking behavior is affected by perceived subjective experience, so we need to understand each persons meaning of the smoking behavior and to develop appropriate nursing interventions based on the typology of smoking behavior. Finally, The result of the study will provide basic data for smoking prevention and cessation program.

• Asian Pacific Journal of Cancer Prevention
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• v.13 no.1
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• pp.175-179
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• 2012

The objective of the study is to investigate the success rate of quit attempts and identify factors associated with success or failure of quit attempts in a quit smoking clinic. A cohort study was conducted with 495 smokers who enrolled in a quit smoking clinic from 2005 to 2008. The factors leading to quit smoking successfully were "being Malay", "having high blood pressure" "type of Nicotine Replacement Therapy" and "duration of follow up". In contrast, clerical staff had negative association to quit smoking. People who started smoking in their teenage years had a high risk of relapse. Integration of active follow up and tailor-made support programmes for quitters appear necessary in order to maintain their non-smoking status and encourage them to be permanent quitters. Integration of quit smoking clinics and primary care clinics could be another potential step for the success of quit smoking programmes.