• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.3
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• pp.346-352
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• 2018

This study was conducted to investigate the quality of sleep of university students according to smoking behavior and to generate basic data for use in development of smoking prevention and smoking policies for university students and young adults in their 20s. The quality of sleep of 291 college students was measured based on smoking behavior and the Pittsburgh Sleep Quality Index (PSQI) questionnaire from May 29, 2017 to June 3, 2017. Multiple logistic regression analysis with step-wise analysis revealed that the quality of OR increased from 2.542 to 2.820 times as the grade increased, and that OR was 3.126 times higher than that of non-smokers and stop-smokers. The quality of sleep worsened with OR=12.388 times. Among general smokers, 72.4% of the students had poor sleep quality, but 82.6% of the students who did not have good sleep quality of electronic-cigarette or tobacco smokers had electronic-cigarette or tobacco worse than regular tobacco.Based on these findings, quitting smoking is essential to improve quality of sleep, but this can be difficult. Therefore, it is necessary to develop legal regulations and policies at the national level. Moreover, a system or service that can manage phased smoking cessation is needed.

• The Journal of Korean Society for School & Community Health Education
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• v.6
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• pp.1-16
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• 2005

This study was conducted to the middle and high school students in some Seoul and Kyunki areas to identify the smoking behavior characteristics among adolescences. A self-administered survey was conducted to the 2nd grad students in 4 middle schools and 6 high schools and the survey Questionnaire included general characteristics, smoking and drug use history, the close people's smoking and drug use, smoking and drug abuse prevention education, smoking intention, and smoking attitude. A total of 2,452 youths finished the survey (1,182 middle school students and 1,270 high school students). Current smoking students were 14.6%, the ex-smokers were 5.5%, and the never smokers were 85.4%. Majority of students smoked less than 5 bars of cigarettes and their first smoking experiences were related to their family members (siblings, parents, and relatives), friends, advertisement in order. Other GYTS countries reported the similar sources of the smoking start and friend was prior smoking start factor to the other sources. The students who wanted to Quit smoking were 6.7% and the students who ever had tried to Quit smoking were 9.1%. The major reasons of Quitting smoking were for their health and for their financial burden. Approximately 60% learned about smoking and drug abuse in their regular school classes, 8.4% were in the special school activities, and 7.9% were in the class closing time sometimes in order. The students who learned in any regular class were smaller in the high school students than in the middle school students. The learning experiences in school of other GYTS countries were similar to that of Korea. In conclusion, students' smoking was affected not only by the preventive activities in school but also by the close people's behaviors and care in this study; therefore, the active partnership between school and family must be a strong strategy for youth's smoking prevention.

• Journal of Preventive Medicine and Public Health
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• v.50 no.1
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• pp.60-65
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• 2017

Objectives: We examined the prevalence of tobacco use and exposure to secondhand smoke among middle-school students in Korea using the Global Youth Tobacco Survey (GYTS) in 2013. Methods: The GYTS in Korea was conducted between July and August 2013 by the Korea Centers for Disease Control and Prevention. Data were collected using a self-administered anonymous questionnaire from a nationally representative sample of middle-school students aged 13-15 years in sampled classrooms. Results: The GYTS in Korea was completed by 4235 students aged 13-15 years in 43 middle schools. Approximately one in five of the students (17.8%) reported that they had tried cigarettes in the past, while 5.2% reported currently being cigarette smokers. Current cigarette smoking was higher in boys (7.5%) than in girls (2.6%). Of the students, 29.7% had been exposed to secondhand smoke at home, 47.4% inside enclosed public places, and 53.9% in outdoor public places. Of the current cigarette smokers, 25.7% bought their cigarettes from a store despite a law prohibiting this. Additionally, 58.0% of students noticed point-of-sale tobacco advertisements or promotions, 66.8% of current cigarette smokers wanted to stop smoking, and 70.9% of students had been taught about the dangers of tobacco use in school. Conclusions: These findings provide an opportunity to develop, implement, and evaluate a comprehensive tobacco control policy. The results suggest that youth have relatively easy access to cigarettes and are regularly exposed to secondhand smoke in public places, as well as to point-of-sale tobacco advertisements and promotions. Strict enforcement of the ban on tobacco sales to youth, expanding smoke-free areas, and advertising bans are needed to reduce tobacco use among youth.

• Asian Pacific Journal of Cancer Prevention
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• v.14 no.4
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• pp.2643-2647
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• 2013

Background: Despite anti-smoking campaigns, smoking prevalence among Thai males aged 30 or older is high, at around 50%. The purpose of this study was to determine the relationship between smoking and mortality in a rural Thai community. Materials and Methods: Subjects enrolled into the Khon Kaen cohort study between 1990 and 2001 were followed up for their vital status until $16^{th}$ March 2012. The death resource was from the Bureau of Policy and Strategy, Ministry of Interior, Thailand. A Cox proportional hazards model was used to analyse the association between smoking and death, controlling for age, education level and alcohol drinking, and confidence intervals were calculated using the floating risk method. Results: The study recruited 5,962 male subjects, of whom 1,396 died during a median 13.5 years of follow-up. Current smokers were more likely to die than never smokers after controlling for age, education level and alcohol drinking (HR, 95%CI: 1.41, 1.32-1.51), and the excess mortality was greatest for lung cancer (HR, 95%CI: 3.51, 2.65-4.66). However, there was no increased risk with increasing dose of tobacco, and no difference in risk between smokers of yamuan (hand-rolled cigarettes) and manufactured tobacco. Conclusion: Mortality from cancer, particularly lung cancer, and from all causes combined is dependent on smoking status among men in rural Thailand, but the relative risks are lower than have been reported from studies in high income countries, where the tobacco epidemic is more established.

• Asian Pacific Journal of Cancer Prevention
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• v.17 no.2
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• pp.739-742
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• 2016

Risks with GSTM1 genotypes and potential roles of smoking in the susceptibility to oral squamous cell carcinoma (OSCC) were studied in Northeastern Thailand. Study subjects were 79 histologically-confirmed OSCC cases (31 men, 48 women) and 79 age- and sex-matched healthy controls ranging in age from 25 to 84 years. GSTM1 genotyping was achieved by two independent PCR assays. The GSTM1 null allele and the homozygous genotype did not increase risk of OSCC vs the wild type allele and the remaining genotypes. When the focus was on the smoking habit, male subjects who smoked ${\geq}10$ or ${\geq}35$ years were at significantly increased risk for OSCC with adjusted ORs of 4.88 [95%CI, 1.41-16.87, p=0.012] or 4.94 [95%CI, 1.62-15.12, p=0.005], respectively. A higher risk for OSCC was found for smoking amount; those who smoked >5 or >10 pack-years were at a higher risk with adjusted OR of 4.46 [95%CI; 1.45-13.74, p=0.009] or 3.89 [95%CI; 1.34-11.28, p=0.012], respectively. There are certain smoking patterns that give greater risks and thus both smoking duration and pack-years should be taken into consideration in tobacco related cancer prevention.

• Asian Pacific Journal of Cancer Prevention
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• v.17 no.3
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• pp.1577-1581
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• 2016

Tobacco use is a well-established risk factor for many types of cancers. Recent data on selected cancer incidence and mortality related to smoking in the Indonesian population are provided in this study. Morbidity and mortality data were derived from GLOBOCAN 2012 and the population attributable fraction (PAF) was estimated using the standard methodology developed by the World Health Organization. Using these data, we calculated disability adjusted life year (DALY) values for smoking-related cancer. The DALY was estimated by summation of the years lived with disability (YLD) and years life lost due to premature death (YLL). The cancer cases related to smoking in Indonesia numbered 45,132, accounting for 35,580 cancer deaths. The morbidity and mortality of lung cancer can be considered as the highest priority in both men and women. Furthermore the greatest YLD due to smoking in Indonesian men and women were from pancreas and lung cancers. For YLL among men, the highest years lost were from lung and liver cancers. On the other hand, among women lung oral cavity and lip were most important. Based on the DALY indicator, burden priorities for Indonesian men were lung cancer (298,980), liver cancer (60,367), and nasopharynx (46,185), while among Indonesian women they were lung cancer (34,119), cervix uteri (9,213) and pancreas cancer (5,433). In total, Indonesian burden of cancers attributed to smoking was 638,682 DALY. This study provides evidence about the burden of cancers caused by smoking as a rational basis for initiating national tobacco control policies in Indonesia.

• Journal of Korean Society for Atmospheric Environment
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• v.20 no.6
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• pp.715-727
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• 2004

This study was carried out to evaluate non-smoker's exposure levels to environmental tobacco smoke (ETS) in the air of offices in urban areas. A total of 65 offices were selected from two large cities, i.e. Daegu and Daejeon. The field sampling was conducted repeatedly in summer (1999) and winter (1999～2000). The measured ETS markers included respirable suspended particles (RSP as PM$_{40}$ ), vapor and particulate phase ETS markers, including nicotine, 3-ethnyl pyridine (3-EP), ultraviolet absorbing particulate matter (UVPM), fluorescing particulate matter (FPM), and solanseol in ETS particles (SolPM). RSP was measured gravimetrically by a microbalance. The particle samples were then used for the determination of particulate ETS markers by HPLC, while vapor phase markers determined by GC/NPD. The analytical methods were validated for repeatability, linearity, detection limits, and duplication precision. The concentrations of RSP and other ETS markers were significantly higher in smoking offices than non-smoking offices. Despite the similar smoking strength in each office for different seasons, the concentration levels of ETS components appeared to be higher in winter than summer. The contributions of ETS to RSP concentrations based on SolPM, FPM, and UVPM methods were estimated to be in the range of 15.2 ～ 25.3% in smoking offices, whereas 2.4 ～ 15.9% in non-smoking offices. The cooling and heating types did not affect significantly the concentrations of RSP and other ETS markers. Finally, further research issues were suggested to obtain more scientific information on the non-smoker's exposure to ETS with respect to the frame of risk assessment..

• Journal of Preventive Medicine and Public Health
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• v.48 no.3
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• pp.119-131
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• 2015

• Journal of Environmental Health Sciences
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• v.28 no.1
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• pp.11-20
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• 2002

Tobacco smoke was confirmed as a human carcinogen by many research results. Because many adolescents stay long time in the PC game room, they are exposed to much of tobacco smoke. To evaluate the effect of passive smoking in the PC game room, airborne nicotine concentrations in 2 PC game rooms in Sung-nam city and urinary cotinine concentrations were measured for 20 adolescents. And the subjects were interviewed for duration and time in PC game room and smoking pattern. Subjects are composed of each of 10 smokers(5 males and 5 females) and 10 nonsmokers(5 males and 5 females). They stayed for three hours in the PC game room without smoking. Concentrations of nicotine in smokers and nonsmokers were 129.72 $\mu$g/$^3$ and 99.99 $\mu$g/m$^3$, respectively. Urinary cotinine concentrations were increased as time goes on after exposure to nicotine and showed maximum value at 9.45 hours after nicotine exposure and were 32.21 and 110.66 $\mu$g/L for nonsmoker and smokers. The more using time and frequency in PC game room, the higher urinary cotinine maximum concentration and the longer using duration, also the more increase urinary cotinine concentration. Urinary cotinine has a tendency to increase by passive smoking. Therefore, it is recommended that the effective control for indoor air quality and extensive research be needed to reduce nicotine concentration by passive smoking in the PC game room.

• Asian Pacific Journal of Cancer Prevention
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• v.13 no.6
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• pp.2547-2556
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• 2012

Objectives: Smoking among university students represents a formidable and global public health challenge. We assessed the associations between socio-demographic, health and wellbeing variables as independent variables, with daily smoking, attempts to quit smoking, and agreement with smoking ban as dependent variables. Methods: A sample of 3258 undergraduate students from eleven faculties at Assiut University, Assiut, Egypt, completed a general health questionnaire. Results: Overall daily or occasional smoking in last three months prior to the survey was about 9% (8% occasional and 1% daily smokers), and smoking was generally more prevalent among males (male=17%, female=0.6%, P < 0.001). After adjustment for confounders, not having normal BMI and having a mother who completed at least bachelor's degree education was positively associated with daily smoking, and conversely, no history of illicit drug use was a protective factor. About 76% of smokers had attempted to quit smoking within the last 12 months prior to the survey. Although a large proportion of students agreed/strongly agreed with the banning of smoking at university altogether (87%), such agreement was less likely among smokers. Conclusion: There is need for implementation of non-smoking policies on university premises, as well as regular up-to-date information on, and the periodic/yearly monitoring of tobacco use by university students employing standardised data collection instruments and reference periods. In addition, it would be valuable to develop campus-based educational/ awareness campaigns designed to counteract tobacco advertisement directed towards young people in Middle East countries. Otherwise, the danger could be that the current relatively low smoking prevalence among university students may escalate in the future.