• Journal of the Korean Academy of Child and Adolescent Psychiatry
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• v.27 no.3
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• pp.181-187
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• 2016

Objectives: This study investigated the relationship between depression, attachment and addiction problems in runaway youths. Methods: We sent a questionnaire package to 187 runaway youths in 18 adolescent shelters. The questionnaire package collected their sociodemographic data and included the Patient Health Questionnaire-9, Inventory of Parent Attachment (IPA), Korean Internet Addiction Self-Scale (K-Scale), Korean version of Alcohol Use Disorders Identification Test, and Korean version of the $Fagerstr{\ddot{o}}m$ Test for Nicotine Dependence. Results: The percentage of youth with depression was 28.8% (N=54). In the depression group, there were significantly more problematic alcohol users (53.06%, p=.0199) and significantly lower IPA scores (p=.0064). There was a significant negative correlation between depression and a IPA, and significant positive correlation between depression and the K-Scale. Conclusion: These results suggest that runaway youths with depression have more problematic alcohol drinking and attachment problems.

• Asian Pacific Journal of Cancer Prevention
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• v.14 no.11
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• pp.6797-6802
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• 2013

Background: Prevalence of tobacco use is higher in the rural than urban areas of India. Unlike tobacco cessation clinics located in urban areas, community-based smoking cessation intervention has the potential to reach a wider section of the community to assist in smoking cessation in the rural setting. The present study aimed to assess the effectiveness of a cessation intervention in rural Kerala state, India. Materials and Methods: Current daily smoking resident males in the age group 18-60 years from four community development blocks in rural Kerala were randomly allocated to intervention and control groups. The intervention group received multiple approaches in which priority was given to face-to-face interviews and telephone counselling. Initially educational materials on tobacco hazards were distributed. Further, four rounds of counselling sessions were conducted which included a group counselling with a medical camp as well as individual counselling by trained medical social workers. The control group received general awareness training on tobacco hazards along with an anti-tobacco leaflet. Self-reported smoking status was assessed after 6 and 12 months. Factors associated with tobacco cessation were estimated using binomial regression method. Results: Overall prevalence of smoking abstinence was 14.7% in the intervention and 6.8% in the control group (Relative risk: 1.85, 95% CI: 1.05, 3.25). A total of 41.3% subjects in the intervention area and 13.6% in the control area had reduced smoking by 50% or more at the end of 12 months. Lower number of cigarettes/ bidi used, low nicotine dependence and consultation with a doctor for a medical ailment were the statistically significant predictors for smoking cessation. Conclusions: Rigorous approaches for smoking cessation programmes can enhance quit rates in smoking in rural areas of India.

• Asian Pacific Journal of Cancer Prevention
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• v.14 no.5
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• pp.3299-3304
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• 2013

Background: The Global Adult Tobacco Survey has 15 key indicators, cigarettes smoked per day (CPD) among daily smokers being one of them. The first wave of GATS in 14 countries indicated that mean CPD use is higher in women than men in India only, which is contrary to the current understanding of tobacco use globally. This study was undertaken to understand the unusual findings for mean CPD use in the GATS-India survey. Materials and Methods: Items B06a and B06b of the GATS India survey questionnaire that collected information on daily consumption of manufactured and rolled cigarettes were analyzed using SPSS software. Exclusive users were identified from these items after excluding the concurrent users of other tobacco products. Cigarette type, exclusive use and gender stratified analyses were made. Consumption of different types of cigarettes among the mixed users of manufactured and rolled cigarettes were correlated. Results: Higher mean number of CPD use among male daily-smokers was observed than their female counterparts in product specific analysis. Mean CPD as per GATS cigarette definition was higher in males than females for exclusive users but a reverse trend was observed in case of non-exclusive users. Use of manufactured cigarettes increased with increase in use of rolled cigarette among the mixed users and around half of these users reported equal CPD frequency for the both types of cigarettes. Conclusions: The anomaly in mean CPD estimate in GATS-India data was due to inclusion of two heterogeneous products to define cigarettes, variation in cigarette product specific user proportions contributing to the average and non-exclusive concurrent use of other tobacco products. The consumption pattern of cigarettes among the mixed users highlights bias in CPD reporting. Definition, analysis and interpretation of 'cigarettes per day' in the GATS India survey need to be improved by redefining cigarettes and making product specific analyses.

• Journal of Acupuncture Research
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• v.26 no.3
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• pp.11-18
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• 2009

Objectives : This study identified the effects of the acupuncture associated with successful cessation at a smoking-cessation clinic of public health center in an urban area. Methods : The subjects of this study were 1121 patients to the smoking cessation clinic of the Anjung Public Healthcare Center in Pyeongtaek, from June 1, 2007 to December 31, 2008. The 123 patients of them were treated by the auricular acupuncture. The experimental group were treated by the acupuncture, and the control only participated in the smoking-cessation clinic program. The data were analysed by SPSS(version 17.0). Chi-square analysis were conducted to see the different of effects between experimental and control group. Also, to find out the factors that affect the success of smoking cessation, logistic regression and Fisher's exact test were done. Results & Conculusions : 1. As the result of the analysis, it showed that 73.2% of the experimental were able to quit smoking for 4 weeks and 6months. 2. Logistic regression and Fisher's exact test showed that number of Cigarette per day, Nicotine Dependence, CO figure(p=.004<.01), and Number of Acupuncture(p=.000<.001) were the factors that affect the successful smoking cessation. 3. The smoking cessation were more likely to success as patients have lower CO figure(B=-.074), more number of the acupuncture(B=1.718). The more number of acupuncture increased 1 time, the more smoking cessation success did 5.576 times(e$^{(1.718{\times}x)$=e$^{(1.718{\times}1)$ = 5.576). 4. As the result of the analysis between experimental and control group, the success rate have the significance difference(p=.000<.001). 73.2% of the experimental were able to quit smoking, but 45.1% of the control did.

• Journal of Korean Academy of Nursing
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• v.43 no.4
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• pp.557-567
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• 2013

Purpose: This study was done to identify effects of a smoking cessation program including telephone counseling and text messaging using stages of change for outpatients who have had a myocardial infarction (MI). Methods: This research was a quasi-experimental design with a nonequivalent control group pretest-posttest. The participants were 48 outpatients (experimental group=24, control group=24) recruited from one university hospital. They were randomly assigned to one of two groups: (a) an experimental group with telephone counseling (once a week) and text messaging (five times a week) using stages of change, and (b) a control group with traditional telephone counseling (once a month). Efficacy of the intervention was measured by comparing the two groups on smoking-related variables at 3 weeks and 12 weeks. Results: At the 3-week and 12-week measurements, there were significant differences between the experimental and control groups on smoking cessation self-efficacy (p<.001), nicotine dependence (p<.001), CO levels (p<.001), and smoking cessation rates (p<.001). Conclusion: The results indicate that the smoking cessation program including telephone counseling and text messaging using stages of change is effective for outpatients after a MI. Further attention should be paid to the intensity of the smoking cessation program and periods for long-term follow-up.

• Journal of Preventive Medicine and Public Health
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• v.53 no.5
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• pp.381-386
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• 2020

Objectives: Few studies have been published regarding the relevance of the admission diagnosis to the smoking cessation rate. We studied smoking cessation rates in relation to admission diagnoses in our inpatient smoking cessation programmes. Methods: This retrospective study included all patients recruited into our inpatient smoking cessation programmes at 2 institutions in Singapore between June 2008 and December 2016. Patients were given individualized intensive counselling and were followed up via phone interviews for up to 6-month to assess their smoking status. Multivariable logistic regression was used to analyse potential associations between admission diagnoses and 6-month abstinence. Results: A total of 7194 patients were included in this study. The mean age was 54.1 years, and 93.2% were male. In total, 1778 patients (24.7%) were abstinent at the 6-month follow-up call. Patients who quit smoking tended to be of Chinese ethnicity, have initiated smoking at a later age, be better educated, and have lower Fagerström Test of Nicotine Dependence scores. After adjusting for these factors, patients with a cardiovascular admission diagnosis had a significantly higher probability of quitting tobacco use than patients with a respiratory or other diagnosis. Conclusions: In patients acutely admitted to the hospital, a diagnosis of cardiovascular disease was associated with the highest quit rate. Smoking cessation interventions need to be incorporated into all cardiovascular disease treatment pathways to leverage the patient's motivation and to improve the quit rate. In addition, patients in groups with lower quit rates may benefit from more intensive programmes to increase the rate of successful cessation.

• Journal of Korean Academy of Nursing
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• v.35 no.7
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• pp.1285-1294
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• 2005

Purpose: This study was done to evaluate the predictive value of aspects of the Transtheoretical model (TTM) of behavior change as applied to smoking cessation in a rural population. Method: A convenience sample was recruited from a public health center in a community. A total of 484 participants were recruited, including 319 smokers, 116 ex-smokers and 49 non-smokers. A cross-sectional and descriptive design was used in this study. Data was analyzed using descriptive statistics, frequency statistics, ANOVA and Logistic regression. Result: The major findings were 1) The participants were assessed at baseline for their current Stage of Change resulting in a distribution with $42.1\%$ in Precontemplation, $24.1\%$ in Contemplation, $9.7\%$ in Preparation, $6.2\%$ in Active, and $17.9\%$ in the Maintenance stage. 2) There were statistically significant differences of processes of change, decisional balance and situational temptation across the stages of change. 3) The main factors that affect smoking cessation were age, number of years smoking, age when began smoking, self-liberation and negative/affective situations, which combined explained $33.2\%$ of the smoking cessation. Conclusion: TTM variables measured prior to a smoking cessation program added little predictive value for cessation outcome beyond that explained by demographic and smoking history variables.

• Korean Journal of Health Education and Promotion
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• v.30 no.1
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• pp.53-64
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• 2013

Objectives: In this study, a multilevel analysis model has been designed to investigate the effect of personal characteristics associated with smoking cessation on anti-smoking determinants with a goal of finding out the factors which have influence on smoking cessation among the entrants of smoking cessation clinic in a public health center. Methods: A total of 253,136 male smokers who received smoking cessation services for more than six(6) months in a smoking cessation clinic of public health center from July 16, 2007 to July 15, 2008 were examined. For technical analysis, SPSS Version 2.0 has been used. For multilevel analysis on smoking cessation determinants, in addition, HLM 7.0 has been adopted. Results: According to the unconditional model of multilevel analysis, the success rates of smoking cessation among the entrants of a smoking cessation clinic were 47.3%. In an unconditional slope model test to which regional variables were added, a negative effect was observed in average smoking amount, total smoking period, nicotine dependence and services while a positive effect was found in age, stress and type of social security in terms of the log of the odds of smoking cessation. In a conditional model test, a positive effect was observed in Non-Smoking Campaigns (NSC) and Frequency of Counseling (FC) in terms of the log of the odds of smoking cessation in regional variables. Conclusions: It is important to approach smokers individually and, at the same time, build healthy environment for a local community to increase smoking cessation rates among the entrants of smoking cessation clinic in a public health center.

• Korean Journal of Health Education and Promotion
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• v.35 no.5
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• pp.47-56
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• 2018

Objectives: This study was performed to investigate trends of smoking characteristics and to identify the relationship between smoking characteristics and obesity among military personnel in Korea. Methods: The study participants were 50,680 military personnel who participated smoking cessation clinic from January in 2009 to December in 2017(excluded in 2011). Obesity was defined as body mass index${\geq}25kg/m2$. Smoking characteristics was included cigarettes of smoked per day, age of initial smoking, smoking duration, and nicotine dependence. Binominal logistic regression analysis was performed to confirm the relationship of smoking and obesity among military personnel. Results: The prevalence of obesity of study subjects was 20.4%. The military personnel were more likely to be obese if they who smoked more than 20 cigarettes per day(adjusted OR 2.271, CI 2.027-2.545), who smoked for more than 10 years(adjusted OR 2.046, CI 1.820-2.299), and who smoked their initial smoking at later than 20 years(adjusted OR 1.357, CI 1.223-1.493). Conclusions: Obesity is closely related to cigarettes of smoked per day, age of initial smoking and smoking duration among military personnel. Thus, intervention included both smoking cessation and weight control are necessary for smokers with obese who are interested in losing weight among military personnel.

• Journal of dental hygiene science
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• v.11 no.6
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• pp.535-542
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• 2011

The purpose of this study was to examine the state of smoking among adolescents and their smoking-related oral health knowledge. The subjects in this study were the teens who were selected by convenience sampling from among the students who were in their first, second and third years in four different middle schools in the city of Iksan, North Jeolla Province. A self-administered survey was conducted from June 14 to July 12, 2011, and the answer sheets from 1,219 respondents were selected for analysis. The collected data were analyzed by the statistical package 12.0, and the findings of the study were as follows: 1. The smoker students accounted for 10.6 percent. The boys and girls who smoked respectively represented 16.0 and 5.4 percent. 2. As for the period of smoking, the largest group that accounted for 51.6 percent smoked for less than a year. Concerning the amount of daily smoking, the greatest group that accounted for 91.9 percent smoked less than 10 cigarettes. As to the motivation of smoking, the biggest group that represented 52.8 percent started to smoke out of curiosity. 3. Regarding smoking-related oral health knowledge, they got a mean of 0.85. Their scores in knowledge of oral malodor(0.95), oral cavity cancer(0.94) and periodontal diseases(0.93) were above the average, and their scores in knowledge of dental caries(0.70) and blunting of taste(0.77) were below the average. 4. The seventh graders got the best score of 5.28 in smoking-related oral health knowledge(p<0.01), and the students who were more satisfied with their life had a better oral health knowledge(p<0.05). 5. The senior students were more dependent on nicotine(p<0.01), and the number of smoking days(${\beta}=0.407$, p<0.001) and the period of smoking(${\beta}=0.235$, p<0.01) affected their nicotine dependence.