• Journal of Preventive Medicine and Public Health
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• v.34 no.3
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• pp.183-190
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• 2001

Objective : To estimate the annual economic costs attributable to cigarette smoking in Korea. Methods : The costs were classified as being direct medical and non-medical costs, indirect costs and others. We focused on those costs related that are incurred in the treatment of selected diseases (cardiovascular diseases, respiratory diseases, and cancers), which have been proven to be caused by smoking. In addition to the basic costs of treatment, the additional amount of costs occurred due to smoking was obtained by computing the population attributable risk (PAR%) caused by smoking. To compute the PAR%, relative risks of smoking to the number of outpatient visits, hospitalizations, and the death were estimated using the Cox proportional hazard model, respectively. Our major data source was the 'Korea Medical Insurance Corporation (KMIC) cohort study,' which was composed of a total of 115,682 male and 67,932 female beneficiaries who had complete records of their smoking histories in the year of 1992. Results : The annual costs that could be attributable to smoking were estimated to be in the range of 2,847,500 million Won to 3,959,100 million Won. The maximum estimate of 3,959,100 million Won includes 233,100 million Won for medical costs, 5,100 million Won for transportation costs, 27,600 million Won for care giver's economic costs, 69,100 million Won in productivity loss, 3,435,000 million Won lost because of premature death, 172,100 million Won in costs resulting from passive smoke inhalation and 17,100 million Won for costs that resulted from fires that were caused by careless smoking. Conclusion : Our study confirms that the magnitude of the economic burden of smoking to Korean society is substantial. Therefore, this study provides strong evidence that there is a strong need for a national policy of tobacco control in Korea.

• 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.

• Asian Pacific Journal of Cancer Prevention
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• v.14 no.11
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• pp.6643-6647
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• 2013

Background: Despite the fact that breast cancer is the most common female cancer worldwide, more than half of the breast cancer risk factors remained unexplained. The aim of this study was to investigate the association of cigarette smoking with risk of breast cancer. Materials and Methods: A case-control study was conducted in the Clinical Centre of Kragujevac, Serbia, covering 382 participants (191 cases and 191 controls). In the analysis of data logistic regression was used. Results: Breast cancer risk was significantly increased in those who quit smoking at ${\leq}50$ years of age (OR=2.72; 95% confidence interval - 95%CI=1.02-7.27) and in those who quit smoking less than 5 years before diagnosis of the disease (OR=4.36; 95%CI=1.12-16.88). When smokers were compared with nonsmokers without passive exposure to smoking, former smoking significantly increased breast cancer risk (OR=2.37; 95%CI=1.07-5.24). Risk for breast cancer was significantly increased in those who quit smoking at ${\leq}50$ years of age (OR=3.29; 95%CI=1.17-9.27) and in those who quit smoking less than 5 years before diagnosis of the disease (OR=5.46; 95%CI=1.34-22.28). Conclusions: These data suggest that cigarette smoking is associated with an elevated risk of breast cancer among former smokers in Serbia.

• Research in Community and Public Health Nursing
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• v.15 no.1
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• pp.95-101
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• 2004

Purpose: The purpose of this study was to identify factors influencing adolescent smoking behavior in the Seoul area. Method: A total of 6.352 middle and high school students living in the Gangnam district of Seoul participated in the study. A self report survey method was used to identify factors related to smoking. Result: A stepwise logistic regression analysis identified four factors associated with adolescent smoking: living with a parent who smokes (OR=1.4), having friend (s) who smoke (OR=14.8), negative attitudes toward passive smoking(OR=4.8), and ignorance of the impact of smoking on health(OR=4.6). Conclusion: Based on the study results, components of effective programs to reduce adolescent smoking rates should include programs to deal with peer pressure to smoke and to reduce the impact of parents who smoke, to increase knowledge of the impact of smoking, and to promote positive attitudes toward anti smoking.

• Asian Pacific Journal of Cancer Prevention
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• v.13 no.11
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• pp.5489-5495
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• 2012

Cervical cancer is a serious public health problem in Thailand. We investigated possible risk factors for cervical cancer including HPV infection, p53 polymorphism, smoking and reproductive history among women in Northeast Thailand using a case control study with 177 cases and age-matched controls. Among the HPV carriers, a significantly increased risk for cervical cancer with an OR of 36.97(p<0.001) and an adjusted OR of 38.07(p<0.001) were observed. Early age at first sexual exposure, and multiple sexual partners increased the risk of cervical cancer with ORs ranging between 1.73-2.78(p<0.05). The interval between menarche and first sexual intercourse <6 years resulted in a significant increase in the risk for cervical cancer with ORs ranging between 3.32-4.09 and the respective adjusted OR range for the 4-5 and 2-3 year-old groups were 4.09 and 2.92. A higher risk was observed among subjects whose partner had smoking habits, whether currently or formerly; with respective ORs of 3.36(P<0.001) and 2.17(p<0.05); and respective adjusted ORs of 2.90(p<0.05) and 3.55(p<0.05). Other smoking characteristics of the partners including smoking duration ${\geq}20$ years, number of cigarettes smokes ${\geq}20$ pack-years and exposure time of the subject to passive smoking ${\geq}5$ hrs per day were found to be statistically significant risks for cervical cancer with adjusted ORs of 3.75, 4.04 and 11.8, respectively. Our data suggest that the risk of cervical cancer in Thai women is substantially associated with smoking characteristics of the partner(s), the interval between menarche and first sexual intercourse as well as some other aspects of sexual behavior.

• Journal of Korean society of Dental Hygiene
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• v.7 no.3
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• pp.273-284
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• 2007

Oral health in youth is very important because this period influences life for adult remarkably. Therefore, more effective oral health education and recognition of early treatment for oral disease are required sincerely. For more effectual education for high-school students, it is necessary to consider their circumstance like obesity and smoking. This study will analyze the correlation oral health behavior with obesity and subjective oral health concerns. In addition to, the actual condition of smoking for high-school girls and oral health condition will be verified. A survey was progressed for high-school girls in Busan city and BMI(body mass index) was used for classification of weight. The statistical significance was analyzed using SPSS 13.3 for Windows. Results of this study is following. 1. The frequence of daily toothbrushing was significantly different with obesity although difference of oral health knowledge was not significant. The frequency of toothbrushing of overweight students were lesser than the others. This results may be caused by low-level for oral health concerns and by passive life style of fat person. This habit has possibility of causing serious periodontal disease like periodontitis and tooth caries. 2. The correlation of obesity and time of brush change, using for supplement, and recent dental institution was insignificant. However, concerns of oral health were showed significantly according to obesity. Under-weight and standard-weight students were more concerned about oral health than over-weight. This results can be related to frequence of toothbrushing for fat subject. This relevance of two factors was confirmed by logistic regression analysis. 3. Approximately 70% students have smoking experience responded to uncomfortableness of periodontal conditions. On the other hand, non-smoking students felt uncomfortable in 50%. This results indicated that smoking have an effect on oral health condition. Further study which identify periodontal conditions practically has to go on for verification of direct correlation smoking and oral health.

• Journal of Preventive Medicine and Public Health
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• v.37 no.3
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• pp.225-231
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• 2004

Objectives : This study was performed to examine the influence of smoking on the blood cadmium concentration in university students. Methods : The study included 300 university students. A questionnaire interview was used to collect data. The urine cotinine and blood cadmium levels were measured as biological exposure indices. The data were analyzed using t-tests ANOVA and ANCOVA. Results : The median value of blood cadmium concentration was equal in both males and females ($0.8{\mu}g/l$). This level was relatively low in comparison with the reference value suggested by WHO (2001). ANCOVA showed that smoking related variables, urine cotinine and smoking amount, were significantly associated with the blood cadmium level (P=0.004, 0.015). However, the values with regard to traffic related air pollution were not significantly associated with the blood cadmium level. Conclusions : Smoking is an important source of nonoccupational cadmium exposure in young people. The Blood cadmium level is at least 10% higher in active smokers than in passive or nonsmokers. The level of urine cotinine can be used as an indicator of non-occupational exposure of respirable cadmium due to smoking, as there is a good correlation bestween smoking amount and the urine cotinine level.

• Asian Pacific Journal of Cancer Prevention
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• v.17 no.6
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• pp.2833-2839
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• 2016

Background: Tobacco use among youth is a major public health problem. Youth outside of formal school settings are often understudied but may be at increased risk. Materials and Methods: A descriptive cross-sectional study was carried out among 326 young people aged 15-24 years in four randomly selected motor parks in Lagos state. Interviewer-administered questionnaires were used to collect data. Results: The mean age of the respondents was $21.0{\pm}2.3yrs$. Many 252 (77.3%) dropped out before the end of the third year of secondary schooling. The majority were aware that active (78.2%), and passive smoking (77.3%) are harmful to health. Nearly two-thirds of the respondents disagreed with an outright ban of cigarettes (63.2%) and restriction of cigarette sales to persons below 18 years (67.9%) while 254 (66.8%) supported a ban on tobacco smoking in enclosed public places. One hundred and fifty (46.0%) respondents had experimented with smoking of which 106 (32.5%) had progressed to become current smokers. Half of the current smokers, 54 (50.9%), felt the need for a cigarette first thing in the morning. A multivariate analysis for smoking initiation, showed that for every increasing year of age, respondents were 1.08 times more likely to have initiated cigarette smoking; males and respondents who lived alone or with peers were 2.34 times and 1.77 times more likely to have initiated smoking respectively; those who consume alcohol and marijuana were 7.27 and 1.89 times respectively more likely to have initiated smoking while those who consumed alcohol were 6.17 times more likely to be current smokers.

• Korean Parent-Child Health Journal
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• v.8 no.2
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• pp.147-156
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• 2005

Purpose: The purpose of this study was the influencing variables of maternal weight gain and neonatal birth weight in full term pregnancies. Method: The subjects were 136 mothers in full term pregnancies(38-42 weeks) and her babies who were selected from 2 general hospital in Pusan. The data were collected from June 14th to October 14th in 2004. Data were obtained by questionnaires. Results: The maternal weight gains was lesser that the pregravid weights was the lower (F=3.410, p=.011). The volumes of weight gains of mothers that had alcohol drinking(t=6.259, p=.014), caffeine consumption (t=4.137, p=.044) were lesser than not. And the birth weight were influenced by passive smoking(t=4.017, p=.047), caffeine consumption (t=5.954, p=.016). Conclusion: The results of this research confirm that the maternal weight gains were influenced by pregravid weight, alcohol drink, caffeine consumption. And the birth weight were influenced by passive smoking, caffeine consumption.

• Journal of Digital Convergence
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• v.12 no.8
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• pp.397-410
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• 2014

This study sought to identify types of health behavior clusters among Korean adults and their related factors. A secondary analysis of 1,441 subjects, aged 19 to 64, in the 2009 Korean National Health and Nutrition Examination Survey (KNHANES IV-3) was conducted. A cluster analysis was used to identify types of clusters related to physical activity, smoking, and alcohol drinking. A complex samples chi square test and multivariate logistic regression were performed to analyze the associations between types of health behavior clusters and sample's characteristics using SPSS WIN 21. Five clusters were identified: health promotion, smoking, alcohol drinking, passive attitude, and risky behavior. The passive attitude cluster had the most subjects, with 47.7% of subjects as members. Socio-demographic factors, hypertension, and depressive symptoms were associated with membership in the alcohol drinking, smoking, passive attitude, or risky behavior cluster rather than the health promotion cluster. The findings of this study suggest that integrated health promotion programs incorporating multiple strategies need to be investigated. In addition, further studies should explore psychosocial factors that affect health behavior clusters, such as stress, self-efficacy, social support, and social networks.