• Journal of the East Asian Society of Dietary Life
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• v.22 no.2
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• pp.175-189
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• 2012

The purpose of this study was to investigate the relationship between pack-years of smoking, metabolic biomarkers, and diet quality in male adults. We analyzed data from the combined 2007-2009 Korean National Health and Nutrition Examination Survey (KNHANES). The extent of smoking was quantified in pack-years (py), with 1 py equivalent to 20 cigarettes per day for 1 year. Subjects (n=1,318) were recruited and divided into two groups according to age (30~49 years age group, n=695; ${\geq}50$ years age group, n=623). In ach age group, subjects were divided into three groups according to the extent of smoking, which included non-smokers (30~49 years, n=156; ${\geq}50$ years, n=217), light smoker (30~49 years, n=269; py<16; ${\geq}50$ years, n=189, py<31), and moderate smoker (30~49 years, n=270; $py{\geq}16$; ${\geq}50$ years, n=217, $py{\geq}31$). The Nutrient Adequacy Ratio (NAR) and the number of foods (Dietary Variety Score, DVS) were analyzed by using the data from the 24-recall method. The results showed that moderate smokers were significantly more likely to drink alcohol compared with the other two groups. Triglyceride and cholesterol levels were significantly higher in smoker groups. The non-smoker group consumed significantly higher levels of vitamin C and potassium compared to the smoker groups. In the diet quality, vitamin C NAR of non-smoker group was significantly higher than those of smoker groups. In the ${\geq}50$ age group, the MAR of nonsmoker, light, and moderate smoker groups were 0.81, 0.78, and 0.78 respectively. The smoker group consumed significantly greate sugar and oils compared to the non-smoker group. Py showed a significantly positive relationship with serum triglyceride level, and a negative relationship with MAR after adjusting for potential confounding factors. In conclusion, male moderate smokers take too little vitamin C, partly due to low diet quality. Therefore, a well-planed diet must be used to replace the nutrients lost from excluded food groups in smoker.

• Nutrition Research and Practice
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• v.2 no.3
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• pp.184-190
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• 2008

The purpose of this study was to compare the dietary habits, nutrient intake, bone mineral density(BMD) and bone metabolism in Korean male collegians as related to smoking situation. One hundred sixty one young adult males at the age of 20-26 participated in this study. The subjects were divided into four groups: non smoker(n=42), light smoker(n=34), moderate smoker(n=49) and heavy smoker(n=36). The anthropometric characteristics, smoking situations, dietary habits and nutrient intakes were observed. Bone status of the calcaneus was measured by using quantitative ultrasound(QUS). Bone metabolism markers including serum alkaline phosphatase activity(ALP) and N-mid osteocalcin(OC) were analyzed. There were no significant differences in height, weight, BMI, energy and calcium intake among the four groups. Iron intake of moderate and heavy smoker was significantly lower than that of light smoker. Heavy smokers consumed significantly lower vitamin C than moderate smokers, and their coffee consumption and lifetime alcohol consumption were significantly highest among the 4 groups. QUS parameters and serum ALP were not significantly different among the four groups. Serum OC levels were significantly lower in heavy and non smoker group compared to the moderate smoker group. In conclusion, heavy smokers in young male collegians had undesirable lifestyle and dietary habits, like as high consumption of coffee and alcohol, and low intake of Fe and vitamin C. Although, there was no significant difference in their current bone status from the other groups, these undesirable factors with heavy smoking may affect their bone health in the long term.

• Journal of Korean Physical Therapy Science
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• v.23 no.1
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• pp.1-8
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• 2016

Purpose : The purpose of this study was to investigate the response of pulmonary function and heart rate recovery of smoker and nonsmoker in males aged 20s after graded maximal exercise. Method : The subjects were composed of smoker group (n=12) and nonsmoker group (n=12) in males aged 20s. Each groups completed an graded maximal exercise with Bruce protocol and were assessed on the pulmonary function(forced vital capacity : FVC, forced expiratory volume-one second : FEV1, FEV1/FVC) and heart rate. Result : The results were as follows: First, heart rate in the measurement point was a statistically significant difference for smoker and non-smoker group after maximal exercise, but FVC, FEV1, FEV1/FVC was no difference. Second, FEV1/FVC between smoker and nonsmoker group was a statistically significant difference after maximal exercise, but FVC, FEV1, heart rate was no difference. Conclusion : The results of this study is that smoking is negative effects on FEV1/FVC of pulmonary function in males aged 20s after maximal exercise.

• Biomedical Science Letters
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• v.29 no.4
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• pp.355-362
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• 2023

This study aimed to determine whether smoking affects the metabolic syndrome and its components through long-term follow-up. Of the 10,030 cohort subjects in the community-based Korean Genome and Epidemiology Study (KoGES) from 2001 to 2018, 2,848 people with metabolic syndrome and 4,854 people with insufficient data for analysis were excluded for this study. The study population comprised 2,328 individuals (1,123 men, 1,205 women) who were eligible for inclusion. The mean age of the participants was 49.2±7.5 years, and 21.9% were current smoker. In log rank test, current smoker had a significantly higher cumulative incidence of metabolic syndrome compared with non smoker (P<0.001). In the Cox proportional hazards model adjusted for key variables, metabolic syndrome (hazard ratio [HR] 1.57, P<0.001), high fasting glucose (HR 1.40, P<0.01), hypertriglyceridemia (HR 1.60, P<0.001), low HDL-cholesterol (HR, 1.30, P<0.01), and abdominal obesity (HR 1.32, P<0.01) in current smoker compared with non smoker were statistically significant, respectively, but not hypertension (HR 1.00, P>0.05). After adjustment for confounders, the time (P-time<0.001) and group (P-group<0.001) effects on metabolic syndrome score change were statistically significant. Furthermore, the interaction analysis of time and smoking group on the change in metabolic syndrome score was statistically significant (P-interaction<0.001). In long-term follow-up, smoking worsens metabolic syndrome.

• Journal of Physiology & Pathology in Korean Medicine
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• v.23 no.2
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• pp.505-511
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• 2009

The purpose of this study is to evaluate the difference about pathogenesis of smoker and non-smoker. Author used DSOM to investigate oriental pathogenesis. Smoke group is consisted of people who have history of smoke, and they don't have history of lung disease(Athma, tuberculosis, COPD, suchlike). Non-smoke group is consisted of people who have no history of smoke and they also don't have history of lung disease. Author carried out each group's PFT(Pulmonary Function Test) by AST(American Thoracic Society) method. DSOM was used for pathogenesis investigation of two groups. There was significant difference between smoke group and non-smoke group in FVC (p<0.05), and In non-smoke group, there was significant difference between male and famale in FVC, FVC%, FEV1, FEV1%. There was significant difference between smoke group and non-smoke group in Heat(熱), Cold(寒)(p<0.05). In Male grouop there was significant difference between smoker and non-smoker in deficiency of Deficiency of Yin(陰虛), Heat(熱). In non-smoke group comparison of sex, there was significant difference between male and female in Deficiency of blood(血虛), dampness(濕)(p<0.05). This result showed that the difference of pathogenesis between smoke group and non-smoke group.

• Korean Journal of Rural Living Science
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• v.7 no.1
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• pp.23-29
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• 1996

The purpose of this study is to observe the relationship between smoking and control factors to blood pressure, such as sodium and potassium levels of dietary intake and serum in 67 rural university male students(smoker: 35 persons, non smoker: 32 persons). 3-day dietary record and blood sampling were conducted for measurements of the levels of dietary intake and serum. The results were as follows: 1) There are no significance between smokers and non-smokers in height, weight, and BMI. 2) Mean systolic and diastolic blood pressure of smokers and non-smokers were $131.33\pm93.75mmHg, \;119.37\pm80.62mmHg, $ respectively. Blood pressure of smoker was higher than that of non-smokers(p＜0.05). 3) There was no significant difference between smoker and non smoker in dietary potassium intake but dietary sodium intake and Na/K ratio of smoker were higher than those of non-smokers(p＜0.05, p＜0.05). And significant correlation was found between dietary sodium intake and blood pressure of smokers(p＜0.05). 4) Smokers of optimum gustation of salt(0.52%) was higher than that of non-smokers(0.49%). Even though blood pressure of smokers was not critical level, if they smoke continuosely until middle age, their blood pressure will be increased by smoking. The results of this study suggest that no smoking education program for smokers including the information about desirable food habits for prevention of hypertension should be developed.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.41 no.9
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• pp.1120-1131
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• 2016

In this paper, we propose a smoker recognition algorithm, detecting smokers in a video sequence in order to prevent fire accidents. We use description-based method in hierarchical approaches to recognize smoker's activity, the algorithm consists of background subtraction, object detection, event search, event judgement. Background subtraction generates slow-motion and fast-motion foreground image from input image using Gaussian mixture model with two different learning-rate. Then, it extracts object locations in the slow-motion image using chain-rule based contour detection. For each object, face is detected by using Haar-like feature and smoke is detected by reflecting frequency and direction of smoke in fast-motion foreground. Hand movements are detected by motion estimation. The algorithm examines the features in a certain interval and infers that whether the object is a smoker. It robustly can detect a smoker among different objects while achieving real-time performance.

• Research in Community and Public Health Nursing
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• v.13 no.1
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• pp.5-16
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• 2002

Purpose: This study was to compare the stop-smoking rate and nicotine dependency for an adult smoker after implementing the smoking cessation program. Method: Fourty-six adult smokers participated. Self report questionnaire and telephone interview were conducted at the pretest, 6 months later, 1 year later, 2 years later, 3 years later. Result: 1. Stop-smoking rate of smoking cessation program participants was 43.5% 6 months later, 35.6% 1 year later, 24.4% 2 years later, 45.5% 3 years later. 2. The mean of nicotine dependency for continuing smokers was significantly decreased 6 months later(paired-t=4.719, p=.000). 3. The mean of nicotine dependency for continuing smokers was significantly decreased 1 year later(pired-t=4.296=.000). 4. The mean of nicotine dependency for continuing smokers was significantly decreased 2 years later(paired-t=2.778. p=.000). 5. The mean of nicotine dependency for continuing smokers was significantly decreased 3 years later(paired-t=2.795. p=.000). Conclusion: The smoking cessation program was effective to induce cessation in the adult smoker, and to decrease nicotine dependency in the continuing adult smoker.

• Journal of Korean society of Dental Hygiene
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• v.1 no.1
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• pp.111-123
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• 2001

Objectives : The purpose of this study was to investigate distribution of periodontal status and treatment need between smokers and nonsmokers. Methods : Interview and measurement was completed by 82 smoker students and 59 nonsmoker students in Taegu Health College from April 1 to 31, 2001. The community periodontal index of treatment needs(CPITN) was analyzed by percentage. Results : In distribution of CPITN by age, almost all subjects had periodontal diseases except for aged 20~24 years nonsmokers(4%). Smoking 5 cigarettes per a day, up to 10, and above 10 increased 5.3%. 7.1%. and 9.5% in 4 score of CPITN, respectively. In years of smoking, smokers who had above 5 years(13.5%) were higher than below those(6.7%), 20% for smoker who take tooth brushing once per a day had higher than 8.3%(or three in depth of pocket above 6mm. In treatment need, all subjects should take education(or oral health except for aged 20~24 years nonsmokers(4%), 96% of smokers and nonsmokers were need scaling. Conclusion : This study indicated that treatment needs for periodontal diseases and scaling in smoker were higher than nonsmoker those.

• Journal of Nutrition and Health
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• v.27 no.3
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• pp.253-262
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• 1994

This study was intended to investigate the anticarcinogenic effect of ginseng previously elucidated by other researches in animal studies. The sister chromatid exchange(SCE) method of human lymphocytes was used as a biomarker. Based on the literature search and the results of our laboratory, smoking was used as a parameter elevating the SCE frequency of general human population. To evaluate the smoking and ginseng effect on SCE frequency, 98 male healthy factory workers aged 23 to 58 years were divided into 4 groups : smoker with ginseng (SG), smoker control(SC), non-smoker with ginseng(NSG), and non-smoker control(NSC) groups, according to their smoking habits and ginseng intake. The mean sponteneous SCE per cell for the SG(10.8$\pm$0.3) and SC(10.4$\pm$0.3) groups were significantly higher than the NSG(9.1$\pm$0.2) and NSC(9.3$\pm$0.3) groups(p<0.05). High frequency cells (HFCs, cells with 15 SCEs) in SG and SC groups were also greater than those in NSG and NSC groups. However, the SCE levels of the SG and SC groups were not associated with the personal smoking history and the number of cigaretts smoked per day. Ginseng intake did not show any effect on the increased SCE caused by smoking. There were no correlations of the elevated SCE among smoking and ginseng types, history of ginseng intake, and consumption frequencies of ginseng intake. These results does not support the findings of other researchers that ginseng could be a protective agent to DNA damage.