Clinical and epedemiologic studies of coronary heart disease(CHD)have from time to time over the last three decades found associations between prevalence of CHD and behavioral attributes and cigarette smoking. The main purpose of this study is reduced to major risk factor of coronary heart disease through prohibition of smoking and control of behavior pattern. The subjects consisted of 120 smokers and 90 non-smokers who were married men older than 30 years working in officers. The officers were surveyed by means of questionnaire September 26 through October 6, 1989. The Instruments used for this study was a self-administered measurement tool composed of 59 items was made through modifications of Jenkuns Activity Survery(JAS). The Data were analysed by SAS(Statistical Analsis System) program personal computer. The statistical technique used for this study were Frequency, x$^2$-test, t-test, ANOVA, Pearson Correlation Coefficient. The 15 items were chosen with items above 0.3 of the factor loading in the factor analysis. In the first factor analysis 19 factors were extracted and accounted for 86% of the total variance. However when the number of factors were limited to 3 in order to derive Jenkins classification, three factors were derived. There names are Job-Involvement, Speed & Impatience, Hard-Driving. Each of them includes 21 items, 21 and 9, respectively. The results of this study were as follow : 1. The score of the smoker group and non-smoker group in Job-Involvement(t=5.7147, p<0.0001), Speed & Impatience(t=4.6756, p<.0001), Hard-Driving(t=8.0822, p<.0001) and total type A behavior pattern showed statistically significant differences(t=8.1224, p<.0001). 2. The score of type A behavior pattern by number of cigarettes smoked daily were not statistically significant differences. 3. The score of type A behavior pattern by duration of smoking were not significant differences. It was concluded that the relationship between smokers and non - smokers of type A behavior pattern was statistically significant difference but number of cigarettes smoked daily and duration of smoking were not significant differences. Therefore this study is needed to adequate nursing intervention of type A behavior pattern in order to elevated to educational effect for prohibition of cigarette smoking.
In health promotion program, the fear of gaining weight is often given as a reason for giving up smoking cessation by the participants. The purpose of this study is to compare drinking habit, exercise and BMI distribution according to smoking habits. The subjects of this study were 83 industrial workers in Gu-mi. Data collection was conducted from Sep. 18th to Sep. 24th 2000. The method was self-reported questionnaire survey, consisted of general characterisics, smoking habits and its relevant questions. The results are as follows : 1. Fifty-nine percents of the subjects were currently smoking. 2. Smoking habits were significantly related with drinking(p=.049). More smokers(81.6%) reported drinking habit than non-smokers(61.7%). 3. Forty-one point two percents of the non-smoker and 34.7% of the smoker perceived their body type as "fat". 4. The mean values of BMI were 22.0 in smokers with 1-9 cigarettes/day, 24.2 in 10-19 cigarettes/day smokers and 24.0 in smokers with over 20 cigarettes/day. There are no statistically significant differences in BMI among smoking habits. 5. BMI among different smoking habit groups was not significant different in age, drinking habit, exercise, and smoking habit.
Purpose: The purpose of this study was to differences in the expression rate of Porphyromonas gingivalis according to smoking status, smoking amount and period of smoking. Methods: At the time of investigation, 30 smokers and non-smokers were recruited among patients with periodontitis with a probing pocket depth(PPD) of 4 mm or more. General information was collected using a self-questionnaire, and the average value was used by a dentist to measure the probing pocket depth of three times each for the first or second molar. Plaque collection and analysis were performed by collecting only subgingival plaque using a conventional method, and the expression rate of P. gingivalis was confirmed using polymerase chain reaction (PCR). For statistical analysis, the SPSS Ver 25.0 program was used. Results: Smoking did not have a significant effect on the expression of P. gingivalis, but it did affect the expression of more type II genotypes (p<0.05). In addition, smokers had more slight periodontal pocket, and the amount and duration of smoking did not affect the expression of P. gingivalis. Conclusions: In the future, it is necessary to reinforce the group of smokers and non-smokers with healthy oral conditions, and to investigate the quantitative difference in the expression rate and genotype of P. gingivalis over time of harmful substances in smoking.
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.
Journal of Korea Entertainment Industry Association
/
v.13
no.2
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pp.197-205
/
2019
This study was to compare arterial stiffness and hemodynamic responses between male smokers and non-smokers. This study also investigates the influences of smoking before exercise on arterial stiffness and hemodynamic responses. 24 male subjects of age 20-29 without history of cardiorespiratory disease were divided into smokers and non-smokers. Smokers had more than 5 years of smoking experience. In order to evaluate the effects of pre-exercise smoking, smokers were tested twice, once with a cigarette before the exercise and the other once without one. Data was collected from bio-impedance analysis, SphygmoCor XCEL, graded exercise test, and fitness test. Main results of this study are as follows: First, there are differences between smokers and non-smokers in cardiorespiratory and hemodynamic response functions, as shown by maximal oxygen consumption, exercise duration, and heart rate. Second, the although the arterial stiffness between smokers and non-smokers showed statistically significant differences in the speed of the pulse wave velocity and augmentation index, smoker had a faster rate. It shows that smoking behavior has a negative impact on the cardiovascular system. Third, pre-exercise smoking behavior does have an impact on cardiorespiratory and hemodynamic response functions, as shown by exercise duration and heart rate. Lastly, arterial stiffness between smokers and non-smokers showed statistically not significant in the speed of the pulse wave velocity and augmentation index. However, the difference was not statistically significant. Brachial systolic pressure, a component of pulse wave analysis, on the other hand, was significantly dependent on pre-exercise smoking behavior. Subjects who participated in this study are college students in early 20s. Given their relatively short history of smoking, it is possible that their smoking habits are not severe enough to develop into cardiorespiratory or cardiovascular diseases. But Smokers showed lower levels of cardiopulmonary functions, as maximal oxygen consumption and exercise duration than nonsmokers.
Journal of the Korean Society of Food Science and Nutrition
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v.28
no.2
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pp.492-500
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1999
The aim of this study was to assess the association between total vitamin A, retinol and carotene intakes and serum concentration of total carotenoids in Korean male smokers and nonsmokers. Food frequency and nutrient intakes of 64 healthy college students were estimated by the 24 hour recall method and food frequency questionnaire and analyzed by smoking status. Serum total cartenoids and lipid profiles were measured in 28 smokers and 36 nonsmokers. The mean total vitamin A, retinol and carotene intakes of smokers were not significantly different from nonsmokers. However, carotene intakes of the smokers who have smoked more than 5 packyears were significantly lower than those of nonsmokers. Smokers consumed green yellow leafy vegetables more often(P=0.005) and fresh fruits less often(P=0.017) than nonsmokers. The serum total carotenoids of smokers consuming the same amount of retinol and carotene as nonsmokers, 1.79 g/ml, were 17% lower than nonsmokers, 2.15 g/ml(P<0.05). The lipid profiles including total cholesterol, LDL cholesterol, VLDL cholesterol and triglycerides of smokers were not significantly different from nonsmokers, however, the concentration of HDL cholesterol of smokers were significantly higher than that of nonsmokers. The serum carotenoids concentration was positively associated with fruit consumption frequency in smokers, and also was positively associated with green yellow leafy vegetable consumption frequency in non smokers. There were no correlations between dietary and serum carotenoids for smokers as well as nonsmokers. It was concluded that smoking could be inversely related to the serum concentration of carotenoids at constant carotene intakes and smokers might require more carotene to reach the same concentration comparable to nonsmokers.
Introduction: In order to control the tobacco scourge, an array of measures is required. Among them is focusing on adolescent relationships as it has been shown that being in a close relationship with a smoker or a non smoker will in the long run be a major factor in deciding whether the individual adopts smoking for initial non-smokers or ceases the habit for initial smokers. Objectives: To assess the attitude of youth towards other smokers and towards marrying a smoker. Materials and Methods: A cross-sectional study was carried out among 415 students from five universities in the United Arab Emirates (UAE). Self-administered structured questionnaires were used for data collection. The Chi square test was used to detect significant differences between frequencies. Results: Of the 415 participants who provided their gender information, 99 (24%) were males and 314 (76%) were females. Of all the participants, 83.5% were not willing to marry smokers, while 16.5% were willing. Of those whose parents smoked (106) 68% did not like it when their parents smoked, 13.6% had no opinion, 17.5% did not mind, while the other 1% had other thoughts. Of those whose close friends smoked, 43.4% did not like it, 16.2% did not have any opinion, 36.9% did not mind while 3.5% had other thoughts. Conclusion: Most participants, both males and females are not willing to marry smokers and prefer to have non-smokers as spouses. Also, smokers are seen as less attractive by both genders in contrast to what appears as popular beliefs amongst youngsters and what is depicted in tobacco advertisements. Tobacco control activities can be undertaken in the community and colleges by incorporating students as facilitators.
Recent studies have demonstrated that smoking may be one of the most significant risk factors in the development and progression of periodontal disease. Reports have indicated that smoking causes gingival blood flow to be decreased. However, studies on the effects of smoking on gingival blood flow have yielded contradictory results. The purpose of the present study was to determine the effect of smoking on gingival blood flow. One hundred volunteers(fifty non-smokers and fifty smokers) with good general and periodontal health, aged twenties(non-smoker : 22-29 years, mean=25.36, smoker : 23-29 years, mean=26.64) were selected. Laser Doppler flowmetry (floLAB, Moor Instruments Ltd., England) was applied to measure the gingival blood flow of interdental papilla, marginal gingiva, attached gingiva and alveolar mucosa of left and right upper lateral incisors. In smokers, following an overnight abstinence from smoking, gingival blood flow was measured before smoking, immediately after smoking, 1-, 2-, 3-, 4-, 5- and 6- hour after smoking from 9 a.m. to 3:30 p.m. The difference of blood flow in each tissue of non-smokers and that of each measuring time and each tissue of smokers were statistically analyzed by one way ANOVA and Tukey test. And the difference of blood flow between smokers and nonsmokers in each tissue was statistically analyzed by t-test. The results were as follows : 1. Mean blood flow was highest in alveolar mucosa, followed by interdental papilla, attached gingiva and marginal gingiva in both smokers and nonsmokers. There was a statistically significant difference in each tissue(p<0.05) . 2. There was no consistent result between mean blood flow before smoking in smokers and that of nonsmokers in each tissue. 3. There was a statistically significant difference between gingival blood flow at measuring time point and gingival blood flow of smokers in each tissue(p<0.05). The present study suggested that smoking could alter the gingival blood flow, thus might be partly contributed to periodontal destruction.
In order to investigate the effect of smoking on serum lipid pattern and nutrient intake, the subjects, 134 smokers and 113 nonsmokers, were selected from college men student in Kwangju area. We examined the serum lipid pattern of 15 smokers and 18 non-smokers who agreed to venipunture among the subjects and also examined nutrients intake. The results obtained were as follows ; Mean concentrations of 새심 cholesterol, HDL-cholesterol and LDL-cholesterol were 187$\pm$12.1mg/dl, 41.5$\pm$1.7mg/dl, and 87.3$\pm$7.4mg/dl in smokers and 182.6$\pm$8.2mg/dl, 45.5$\pm$1.5mg/dl, and 96.3$\pm$4.3mg/dl in nonsmokers, respectively. The total energy intake was 2264kcal/day and mean constitutional rationof protein, fat and carbohydrate was 12.7 : 24.8 : 62.5 in smokes and 2287kcal/day, 14.1 :25.4 : 60.5 in nonsmokers, respctively. Mena daily intakes of calcium, iron, vitamin C and vitamin A were 612.2mg, 15.7mg, 48.2mg 2029.4 IU in smokers and 629.4mg, 15.3mg, 68.4mg 2339.1 IU in nonsmokers, respectively. Vitamin C intake was significantly different at p<0.05 between the smokers and nonsmokers. Intakes of cholesterol, SFA and MUFA were not significantly different between the two groups. Mean daily PUFA intake of smokers and nonsmokers were 5.5g and 6.9g respectively. PUFA intake was significantly different at p<0.05 between the two groups. The results of this study showed that smoking have a tendency to raise coronary heart disease occurrence in the respect of serum lipid levels and vitamin C, PUFA intake were significantly different.
Body antioxidant status is an important factor in the prevention of many chronic diseases caused by oxidative stress, especially in the elderly and is affected by health-related habits, such as smoking, drinking and regular physical activity. The aim of this study was to investigate the relationship between these health-related habits and plasma antioxidant status in the elderly. Plasma antioxidant status was examined by determining plasma levels of antioxidant vitamins (vitamin C, A, E, $\beta$ -carotene), total antioxidant status (TAS) and thiobarbituric acid-reactive substance (TBARS) . The subjects included 225 elderly persons aged over 60 yews (63 males, 162 females) living in the Ulsan area. They were interviewed to collect data on their general characteristics and health behaviors such as smoking, exercise and alcohol consumption by means of questionnaires. Their dietary intakes were obtained by means of semi-quantitative food frequency questionnaires (FFQ) The study population was divided into two or three groups according to their smoking, drinking, and exercise status. The ratio of smoker, drinker and exerciser was 16.7%, 31.0% and 44.2% respectively. The dietary antioxidant vitamin intakes were not significantly different among groups of smoking and drinking status, but tended to be higher in non-smokers and non-drinkers than in smokers and drinkers. Plasma vitamin C and $\beta$ -carotene levels were significantly higher in non-smokers, but Plasma vitamin A and TBARS levels were significantly lower in non-smokers than in smokers. Plasma TAS was not significantly different among the smoking groups, but showed a tendency to decrease with an increase in the number of packyear. Plasma vitamin C and $\beta$ -carotene levels of the non-drinkers were higher than those of drinkers and past-drinkers, but plasma vitamin A, C, E, TAS and TBARS showed no difference among the groups of drinker. All vitamin intakes of the exercisers were slightly higher than those of the non-exercisers, but vitamin C intake was significantly higher in female exercisers than in non-exercisers. Plasma $\beta$ -carotene levels were significantly higher in male exercisers and plasma vitamin A, C, E, TAS and TBARS levels tended to be higher in exercisers than in non-exercisers. These results suggested that change to non-smoker, modulation of alcohol consumption and regular exercise could enhance antioxidant defences against reactive oxygen species and might increase the likelihood of a healthier life span.
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