Aiming to investigate nutrient intake and food habits influenced by smoking for female college students in Seoul, the questionnaire survey for 763 students was carried out. The results of the survey was summarized as follows: 1. 9.7% of students were found as the current smokers and 18.9% of students had experienced of smoking, however stopped smoking at present(experienced smokers) respectively. 2. In the current smokers, they started smoking with friends at the first (58.9%), alone (27.4%), and with seniors (11.0%) respectively. The psychological frustration (52.2%), curiosity (28.4%) respectively motivated smoking behavior at the beginning. The most had smoking usually at the entertaining place such as restaurant. Only 6.4% of current smokers consumed more than 10 cigarettes daily, and 55% of current smokers inhaled deeply into the lung while they smoked. Even 26% of current smokers explained their intention of not smoking after marriage, and also about 95% of current smokers explained to stop smoking in the case of pregnancy. 3. It was found as the fact that the school age, economic status, and parental smoking affected their prevalence of cigarette smoking. The higher their schoolage, the higher smoking showed; the more their money spent and the lower father smoking showed ; the more their money spent and the lower father's educational level, the higher smoking showed; the more drink, the higher smoking showed. 4. The value evaluation of cigarette smoking also affected the prevalence of cigarette smoking. Of the students recognized advantageous parts of smoking, the prevalence of cigarette smoking was higher. 5. Logistic regression analysis was to determine the most effective factor which determined prevalence of cigarette smoking. The most effective factor was value evaluation of cigarette smoking. The order of effective factors was health value of cigarette smoking, their drinking capacity and the value evaluation of change in body weight due to smoking and smoking's advantages. 6. Cigarette smoking showed signs of affecting to food habits. In the case of smoking, the missing rate of taking regular meals was higher, and the frequency rate of taking regular meals was lower. Also, smokers took meals less regularly. Even the smokers took less candy than non-smokers, however, smokers liked to take more coffee, alcohol, and hot tasting food than non-smokers. 7. Smoking seemed to affect the nutritional status. It was found that smokers took many kinds of nutrients insufficiently, therefore their calory intake by age was not reached to RDA.
Purpose: The purpose of the study was to investigate the level of cigarette smoking and alcohol consumption in men with Diabetes Mellitus and to examine the relationships among those variables. Method: The subject consisted of 152 adult men with diabetes mellitus. Q-F methods and FTQ was used to measure the level of alcohol consumption and nicotine dependency. The amount of smoking was measured by the number of cigarette packs used per week. Results: Prevalence of drinking was 63.6% and in the current drinkers, 34.4% were heavy drinkers. The prevalence of cigarette smoking was 36.2% with a mean of 6.03 packs per week. Twenty percent of the smokers were dependent on nicotine. Subjects who had complications or other diseases drank alcohol more than who had not. There was a positive relationship between the level of smoking and nicotine dependency. Conclusion: Alcohol drinking and cigarette smoking is a serious health problem in men with diabetes. It is necessary to have an educational approach for controlling drinking and smoking in diabetes patients.
Objectives : It is known that cigarette smoking is associated with increased risk of both thrombotic and hemorrhagic stroke. However, in Korea, especially in the academic world of Korean Medicine, there is a lack of study about the relation between cigarette smoking and stroke. We carried out a case-control study to clarify the relation between cigarette smoking and stroke. Method : We interviewed 441 stroke patients (236 men, 205 women) as a case group and 432 non-stroke patients (208 men, 224 women) as a control group. We investigated the smoking pattern of all patients and stroke-subtype of the case group. Smoking pattern is classed into two (Class I), four (Class II) and five groups (Class III). Class I consists of current non-smokers and current smokers. Class II consists of non-smokers, former smokers, current light smokers and current heavy smokers. Class III consists of never smoked, secondhand smokers, former smokers, Current light smokers and current heavy smokers. Stroke-subtype consists of cerebral infarction and cerebral hemorrhage. Results : The percentage of current smokers of case group is higher significantly than that of control group. The number of cigarettes smoked per day is associated positively with the risk of stroke. According to our study, generally cigarette smoking is related with ischemic stroke. The percentage of secondhand smokers of the case group is lower than that of the control group. According to our study, characteristically secondhand smoking is associated with hemorrhagic stroke. Conclusions : From the above results we found that cigarette smoking is an important risk factor of stroke - especially cerebral infarction - and the number of cigarettes smoked per day is associated positively with the risk of stroke. Characteristically according to our study, secondhand smoking is associated with hemorrhagic stroke. Overall we conclude that cigarette smoking may be an important preventable factor for stroke.
Purpose: Because it is important to prevent adolescents from becoming involved in smoking, this study was done to explore important factors influencing cigarette use and the increase in smoking frequency. Method: For this study the Korea Youth Panel Survey (KYPS) was analyzed. Because the KYPS is longitudinal, a fixed effect regression method was used to control for the effects of time-independent factors. More specifically, a logistic regression was used to explore factors affecting cigarette use, and a Poisson regression was used to explore smoking frequency. Result: As the adolescents got older, the number of male adolescents who tried smoking increased, while the number of female adolescents who tried smoking decreased. Also, the frequency of cigarette use among male and female smokers increased over time. Significant factors affecting cigarette use were friends who smoked, delinquent behavior, and loneliness at schools. Important factors affecting the increase in smoking frequency were grade (e.g., the 2nd- and 3rd-year of middle school), friends who smoked, delinquent behavior, monthly pocket money, expectation for the highest level of education, and attack tendency. Conclusions: To solve the problems linked to adolescent smoking, it is critical to develop intervention programs that target specific homogeneous subgroups of smokers, and that take into consideration gender difference in smoking and factors affecting levels of smoking behavior.
Objectives : The aim of this study was to evaluate the roles of cigarette smoking, alcohol consumption, tuberculosis, and their interactions in the risk of lung cancer in a Korean cohort. Methods : The study subjects comprised 13,150 males and females aged above 20 years old. During the follow up period from 1993 to 2002, 79 lung cancer cases were identified by the central cancer registry and the national death certificate database. Information on cigarette smoking, alcohol consumption and the history of physician-diagnosed tuberculosis was obtained by interview. Indirect chest X-ray findings were also evaluated to ascertain tuberculosis cases. Cox proportional hazard models were used to estimate relative risks (RR) and 95% confidence intervals (CI) after adjusting for age and gender. Results : Cigarette smoking was statistically significantly associated with an increased risk of lung cancer [for current smokers, RR = 2.33 (95% CI = 1.23 - 4.42) compared to non-smokers]. After further adjustment for cigarette smoking, both alcohol consumption and tuberculosis showed no statistically significant association with the risk of lung cancer [for current drinkers, RR = 0.80 (95% CI = 0.48 - 1.33) compared to non-drinkers] [for tuberculosis cases, RR = 1.17 (95% CI = 0.58 - 2.36) compared to non-cases]. There was no statistically significant interaction between cigarette smoking and alcohol consumption (p-interaction = 0.38), or cigarette smoking and tuberculosis (p-interaction = 0.74). Conclusions : Although cigarette smoking was confirmed as a risk factor of lung cancer in this cohort study, this study suggests that alcohol consumption and tuberculosis may not be associated with the risk of lung cancer.
Purpose: The purpose of the study was to investigate the level of smoking, process of smoking cessation, and nicotine dependency, and urine nicotine among adults with diabetes which are smokers and to examine the relationship among those variables. Method: The subjects consisted of 62 adult men smokers with diabetes mellitus. FTQ and NicCheck 1 were used to measure the level of nicotine dependence. The amount of cigarette smoking was measured by the number of cigarette packs use per week. The stage of smoking cessation was measured by the Prochaska's method. Results: The Subjects smoked cigarettes with a mean of 5.97 packages per week. Seventy-seven percent of the subjects had a nicotine dependency. Fifty-two percent had a high level of nicotine dependency in urine nicotine. Nineteen percent were in the precontemplation stage. The level of cigarette consumption was related to nicotine dependence and urine nicotine. Also, nicotine dependency was related to urine nicotine. Conclusion: A tailored smoking cessation program is needed to prevent the chronic complication for diabetes smokers. Self-reported smoking and nicotine dependency seemed to do equally well as NicCheck 1 in assessing nicotine intake.
Background: Smoking is a primary risk factor for cancer development. While most research has focused on smoking cigarettes, the increasing popularity of shisha or water pipe smoking has received less attention. This study measured the prevalence and risk factors for shisha and cigarette smoking and related knowledge. Materials and Methods: This cross-sectional analytical study was conducted in Shah Alam, Malaysia. Participants aged ${\geq}18years$ were selected from restaurants. Data regarding demographic variables, smoking patterns, and knowledge about shisha smoking were collected in local languages. Logistic regression was performed to assess risk factors. Results: Of 239 participants, 61.9 % were male and 99.2% revealed their smoking status. Some 57.4% were smokers: 50.7% only cigarettes, 5.9% only shisha and 42% both. Mean age of starting cigarette smoking was $17.5{\pm}2.4years$ and for shisha smoking $18.7{\pm}2.0years$. In a univariate model, male gender, age 33-52 years and monthly income > MYR 4,000 increased the risk and unemployment and being a student decreased the risk. In a multivariate model, male gender increased the risk of smoking, while being a student decreased the risk, adjusting for age and income. The perception of shisha being less harmful than cigarettes was present in 14.6% and 7.5% had the opinion that shisha is not harmful at all, while 21.7% said that it is less addictive than cigarettes, 39.7% said that shisha did not contain tar and nicotine, 34.3% said that it did not contain carbon monoxide and 24.3% thought that shisha did not cause health problems. Conclusions: Prevalence of shisha and cigarette smoking is high in the general population in Malaysia and knowledge about shisha smoking is relatively low. The findings of our study might have implications for understanding similarities and differences in incidence of shisha and cigarette smoking in other cultural/geographic regions.
By far, the largest known preventable cause of cancer is cigarette smoking. The percentage of cancer deaths in Korea due to tobacco is still increasing. Smoking cigarette at an early age has become more common among women. Tobacco consumption is related causally to cancer to the lung, mouth, larynx, esophagus, bladder, kidney, uterine cervix, and pancreas. Recently, several studies demonstrated that there is very strong correlation between cigarette smoking and p53 mutations in lung cancer, head and neck cancer, and bladder cancer. The recent findings of cigarette smoking and cancer, p53 and bcl-2 mutations, adverse effects of smoking on the effects of radiotherapy, and benefits of quitting will be discussed.
Hoang, Van Minh;Le, Hong Chung;Kim, Bao Giang;Duong, Minh Duc;Nguyen, Duc Hinh;Vu, Quynh Mai;Nguyen, Manh Cuong;Pham, Duc Manh;Ha, Anh Duc;Yang, Jui-Chen
Asian Pacific Journal of Cancer Prevention
/
제17권sup1호
/
pp.85-90
/
2016
Two years after implementation of the graphic health warning intervention in Vietnam, it is very important to evaluate the intervention's potential impact. The objective of this paper was to predict effects of graphic health warnings on cigarette packages, particularly in reducing cigarette demand and smoking-associated deaths in Vietnam. In this study, a discrete choice experiment (DCE) method was used to evaluate the potential impact of graphic tobacco health warnings on smoking demand. To predict the impact of GHWs on reducing premature deaths associated with smoking, we constructed different static models. We adapted the method developed by University of Toronto, Canada and found that GHWs had statistically significant impact on reducing cigarette demand (up to 10.1% through images of lung damage), resulting in an overall decrease of smoking prevalence in Vietnam. We also found that between 428,417- 646,098 premature deaths would be prevented as a result of the GHW intervention. The potential impact of the GHW labels on reducing premature smoking-associated deaths in Vietnam were shown to be stronger among lower socio-economic groups.
한국환경보건학회 2003년도 Challenges and Achievements in Environmental Health
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pp.166-170
/
2003
Smoking of tobacco cigarettes is associated with a rise in blood pressure together with an increase in heart beat rate. This study examined the acute effect of tobacco and non-tobacco cigarette smoking on the blood pressure and heart beat rate by randomized crossover study involved 39 volunteers. In the results, systolic blood pressure and heart beat rate changes after smoking were significantly different in non-tobacco cigarette smoking group from in tobacco cigarette smoking group.
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