• 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 the Korean Society of Tobacco Science
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• v.19 no.1
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• pp.40-45
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• 1997

This study was conducted to evaluate the personal effects of tobacco smoke and environmental tobacco smoke(ETS) by measuring the concentration of nicotine and cotinine in the urine. While 129 urine samples were being collected, Personal characteristics such as sex, age, number of years since a Person has been a smoker, average consumption number of cigarettes per day, and number of smoker in family were also surveyed. Collected urine samples were used for analysis of nicotine and cotinine by GC/NPD after Passing the extrelut column. In the urine of the smoker, the average contents of nicotine and cotinine were 5.38$\mu\textrm{g}$/ml and 3.14 $\mu\textrm{g}$/ml, respectively. The average contents of nicotine and cotinine were 0.18$\mu\textrm{g}$/ml and 0.07$\mu\textrm{g}$/ml in the urine of male non-smoker, respectively. The contents of nicotine and cotinine in the non-smoker's urine were dependent on sex and age. On the other hand, the contents of nicotine and cotinine in smoker's urine were dependent on average consumption amount of cigarettes per day. Also, there was a direct relation between nicotine levels in the smoker's urine and the average consumption number of cigarettes Per day of smoker. The Possible sources of nicotine and cotinine in the non-smoker's urine seemed to be caused by food, beverage and En, Our results indicate that the number of smoker in family had no effect on increasing nicotine and cotinine contents in the urine of non-smoker.

• Journal of the Korean Society of School Health
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• v.21 no.2
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• pp.97-105
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• 2008

Purpose : To investigate major characteristics influencing on adolescent smoking in Korea. Method : The subjects were 431 students (298 male and 133 female) enrolled in the non smoking program at Seoul School Health Promotion Center from March 2006 to February 2007. The survey was done about motivation of smoking, the way of getting cigarettes and frequency, chi-square test, and t-test by SAS package 8.1 were used to analyze the data. Result : Total 431 subjects were composed of 49.2% middle school students, 50.8% high school students. The middle school students who smoke 1 to less than 10 cigarettes per day were 56.1% and 10 to less than 20 cigarettes per day 26.7%, while high school students were 46.8% and 44.1%. 73.1% of male, and 76.9% of female students selected the cigarettes depending on taste and fragrance. The places of buying cigarettes were supermarkets 67%, convenience stores 19.4%, small stores 11.8%. A high percentage of students answered they did not have to show ID when they bought cigarettes(“rarely checked the ID” 25.2% of male and 30.8% of female, ”did not checked at all” was 10.9% male and 9.6% female). The ratio of spending money on buying cigarettes was 38.8% and 35.6% in male and female middle school, and 37.9% and 27.2% in male and female high school. Conclusion : Findings of this study suggests the constituting of strong social regulations to protect youth from smoking.

• Journal of agricultural medicine and community health
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• v.33 no.3
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• pp.292-302
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• 2008

- Abstract - Objectives: The purpose of this paper is to determine an efficient operation plan for a smoking cessation clinic in public health centers. To do so, the primary success factors in smoking cessation have been analyzed after classifying the smoking cessation programs of public health centers into urban and rural areas. Methods: A study was conducted with 262,837 smokers age 19 or older who were provided with smoking cessation services for more than 6 months through smoking cessation clinics at public health centers(250 clinics nationwide) from July 16, 2006 to July 15, 2007. Results: Urban areas indicated that gender, age, social security, the frequency of counseling, re-enrollment in the program, the number of cigarettes per day and alcohol problems were all factors that influenced the success of smoking cessation. On the other hand, in the rural areas the total number of counseling, re-enrollment in the program, the number of cigarettes per day and alcohol problems were the influential factors. Furthermore, the urban area confirmed that the frequency of counseling, re-enrollment in the program, the number of cigarettes per day and alcohol problems affected traveling while the rural area was affected by social security, the frequency of counseling and re-enrollment. Conclusions: It has been confirmed that the success rate and factors of smoking cessation clinics can vary depending on the region and enrollment method.

• Journal of the Korean Society of Tobacco Science
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• v.23 no.1
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• pp.71-76
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• 2001

This study was conducted to determine the urinary nicotine and cotinine concentration in 126 smokers and 143 nonsmokers. While urine samples were being collected, personal characteristics related to smoking habit such as sex, age, number of years since a person has been a smoker, average number of cigarettes consumed per day, and number of smokers in the family were surveyed. Urinary nicotine and cotinine concentration were analyzed by GC/NPD. The smokers smoked an average 17.0 cigarettes per day and the average concentration of nicotine and cotinine was 3.88 $\mu\textrm{g}$/ml and 3.64 $\mu\textrm{g}$/ml, respectively. The average number of smokers in the family was 0.72 persons and the average concentration of nicotine and cotinine were 0.11 $\mu\textrm{g}$/ml and 0.02 $\mu\textrm{g}$/ml in the urine of non-smokers, respectively. The concentration of nicotine and cotnine in smoker\`s urine was dependent on the number of cigarettes smoked per day(p<0.01). The number of years since a person had been a smoker, and the number of smokers in the family were not associated with the concentration of nicotine and cotinine. Also there was no significant effects of passive smoking on the family of smokers by the level of nicotine and cotinine concentration. We describe the relationship between smoking habit as assessed by urinary nicotine and cotinine excretion. This study provides an evidence for the assessment of active and passive exposure to tobacco smoke.

• 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.

• KDI Journal of Economic Policy
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• v.31 no.2
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• pp.127-153
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• 2009

There is a growing concern about potential harmful effect of second-hand or environmental tobacco smoking. As a result, smoking bans in workplace become more prevalent worldwide. In Korea, workplace smoking ban policy become more restrictive in 2003 when National health enhancing law was amended. The new law requires all office buildings larger than 3,000 square meters (multi-purpose buildings larger than 2,000 square meters) should be smoke free. Therefore, a lot of indoor office became non smoking area. Previous studies in other counties often found contradicting answers for the effects of workplace smoking ban on smoking behavior. In addition, there was no study in Korea yet that examines the causal impacts of smoking ban on smoking behavior. The situation in Korea might be different from other countries. Using 2001 and 2005 Korea National Health and Nutrition surveys which are representative for population in Korea we try to examine the impacts of law change on current smoker and cigarettes smoked per day. The amended law impacted the whole country at the same time and there was a declining trend in smoking rate even before the legislation update. So, the challenge here is to tease out the true impact only. We compare indoor working occupations which are constrained by the law change with outdoor working occupations which are less impacted. Since the data has been collected before (2001) and after (2005) the law change for treated (indoor working occupations) and control (outdoor working occupations) groups we will use difference in difference method. We restrict our sample to working age (between 20 and 65) since these are the relevant population by the workplace smoking ban policy. We also restrict the sample to indoor occupations (executive or administrative and administrative support) and outdoor occupations (sales and low skilled worker) after dropping unemployed and someone working for military since it is not clear whether these occupations are treated group or control group. This classification was supported when we examined the answers for workplace smoking ban policy existing only in 2005 survey. Sixty eight percent of indoor occupations reported having an office smoking ban policy compared to forty percent of outdoor occupation answering workplace smoking ban policy. The estimated impacts on current smoker are 4.1 percentage point decline and cigarettes per day show statistically significant decline of 2.5 cigarettes per day. Taking into account consumption of average sixteen cigarettes per day among smokers it is sixteen percent decline in smoking rate which is substantial. We tested robustness using the same sample across two surveys and also using tobit model. Our results are robust against both concerns. It is possible that our measure of treated and control group have measurement error which will lead to attenuation bias. However, we are finding statistically significant impacts which might be a lower bound of the true estimates. The magnitude of our finding is not much different from previous finding of significant impacts. For cigarettes per day previous estimates varied from 1.37 to 3.9 and for current smoker it showed between 1%p and 7.8%p.

• Journal of Preventive Medicine and Public Health
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• v.35 no.2
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• pp.123-128
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• 2002

Objective : To examine the relationship between cigarette smoking, alcohol and cancer mortality in men in the Kangwha cohort after 12 years and 10 months of follow up. Methods : The subjects consisted of 2,681 men in the Kangwha cohort aged over 55 in 1985. Number of deaths and the time to death front all cancers and other cause were measured and the data for the smoking and drinking habits were obtained from the baseline survey data in 1985. All subjects were categorized into four groups according to their smoking habits: non-smokers, ex-smokers, mode(ate-smokers (1-19 cigarettes per day), heavy-smokers ($\geq$20 cigarettes per day). In addition, they were also categorized according to their drinking habits: non-drinkers, light-drinkers ($\leq$1 drink per week), moderate-drinkers (<3 drinks per day), heavy-drinkers ($\geq$3 drinks per day). The cancer specific death rates were calculated according to their smoking and drinking status. The adjusted risk ratio for all cancer deaths according to their smoking and drinking status were estimated using the Cox's proportional hazard regression model. Results : Using nonsmokers as the reference category, the adjusted risk ratio for all cancer deaths were 1.573(95% CI=1.003-2.468) for heavy-smokers. For lung cancer deaths, the adjusted risk ratios were 3.540(95% CI=1.251-10.018) for moderate-smoker and 4.114(95% CI=1.275-13.271) for heavy-smokers. Compared to non-drinkers, the adjusted risk ratio for stomach cancer was 2.204(95% CI=1.114-4.361) for light-drinkers. Conclusion : Smoking is the most significant risk factor for cancer deaths particularly lung cancer.

• Women's Health Nursing
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• v.13 no.1
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• pp.28-34
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• 2007

Purpose: This study was to examine the effects of auricular acupressure therapy on smoking cessation for female university students. Method. The research design was a nonequivalent control group nonsynchronized design. Subjects were 60 (Experimental: 30, Control: 30) smoking female university students. The measuring tools were the number of cigarettes smoked per day, dependency on nicotine, and need for smoking. Auricular acupressure therapy, an experimental treatment, was applied 3 times a day, 2 days a week, for 2 weeks. Data was collected from March 2006 to October 2006. Data was analyzed using the SPSS PC+ 12 version. Descriptive statistics, independent t-test, $x^2$-test, and Fisher's exact test were used for each aim of this study. Result: The number of cigarettes smoked per day (t=8.63, p=.00), dependency on nicotine (t=18.15, p=.00), and need for smoking (t=14.23, p=.00) significantly decreased in the experimental group by application of auricular acupressure therapy. Conclusion: Auricular acupressure therapy can be a better effective primary nursing intervention on smoking cessation for female university students shown through studies of repetition.

• Korean Journal of Adult Nursing
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• v.15 no.4
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• pp.563-572
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• 2003

Purpose: This study aimed to compare differences on sexual satisfaction between non-smokers and smokers of Korean adult males. Method: The subjects of this study were 304 current smokers and 331 current non-smokers(stop smokers, never smokers) (58.0%). Because of the nature of the study, the participants were recruited through a home page advertisement of a brand newspaper company in Korea, and the survey was done through Internet system. The tool to measure participant's sexual satisfaction was adopted from the Arizona Sexual Experience Scale-Male. Result: Participant's age ranged from 20 to 49, mostly in their 30s-40s(96.1%). They were smoking average of 15 cigarettes per day. There were no significant difference on sexual satisfaction between current smokers and non-smokers( t=-.55, p>.05). However, there were significant difference on sexual satisfaction between ever smokers(n=481) and never smokers(n=154) (t=2.10, p<.05). There were significant differences an erectile and orgasm satisfaction according to number of cigarettes they smoked per day. 54.5% smokers who said that they have difficulty in keeping erectile state considered on smoking cessation within 30 days whereas 24.2% in those who said that keeping erectile state was easy. Conclusion: Informing about the high risk of sexual dysfunction with cigarette smoking should become a important part of smoking cessation education and for smoking adolescents.