This study investigates the relationship between smoking and periodontal disease through quantitative analysis of intra-buccal oral pathogenic bacteria detected in smokers and aims to yield objective baseline data for applications in anti-smoking and dental health education programs. From April to May 2016, participants in an oral health management program within an intensive dental hygiene training course at Choonhae College of Health Sciences received an explanation of the study purposes and methods, after which male smokers aged 18~30 years agreed to participate voluntarily. Real-time polymerase chain reaction (PCR) analysis of oral pathogenic bacteria was performed after collecting gingival sulcus fluid samples from 67 smokers. The intra-buccal oral pathogenic bacteria distributions were analyzed based on the subjects' general characteristics, smoking behaviors, and oral care behaviors. The distribution results show that pathogens in the anterior teeth are affected (in this order) by age, toothbrush size, and smoking status; older people had fewer pathogens, those who used larger toothbrushes had more pathogens, and smokers had more pathogens, compared to non-smokers ($_{adj}R^2=19.1$). In the posterior teeth, pathogens were influenced (in this order) by smoking status, smoking duration, and the number of tooth brushings per day; smokers had more pathogens than non-smokers, and those who brushed their teeth more often had fewer pathogens ($_{adj}R^2=25.1$). The overall pathogen distribution was affected only by smoking status: smokers generally had more pathogens, compared to non-smokers. Therefore, it is necessary to provide information about the risk of periodontal disease due to smoking during anti-smoking or dental health education sessions; particularly, the use of smaller toothbrushes for anterior teeth and the need for smokers in their early twenties to quit smoking for dental health should be highly emphasized.
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: This study was undertaken to identify factors related to quit-smoking intention based on the planned behavior theory among out-of-school youths. Methods: This study was a quantitative research, data were collected during Nov. 1. 2018 to Feb. 28, 2019, study subjects were 189 out-of-school youths in Youth support Center located in A, B, C area city. The data were analyzed using independent sample t-test and one-way ANOVA, Pearson's correlation coefficient, and multiple linear regression. Results: There was a significant differences of quit smoking intention according to age, weekly allowance, participate of antismoking program. There were positive correlations between quit smoking intention and attitude to non-smoking and perceived behavior control. In smoking cessation intention influenced by predictive variable, age, weekly allowance, attitude to non-smoking, and perceived behavior control explain 26.8% smoking cessation intention. Conclusion: We believe that findings from this study will help to develop the specific smoking cessation education program for out-of-school youth's health behaviors.
The purpose of this study was to analyze the smoking behavior and to provide the basic data required to develop a smoking cessation program. The study subjects were 407 industrial workers in Jecheon. The data were collected using a structured questionnaire. The data were analyzed by the SPSS 10.0 system using descriptive statistics, t-test, and Chi-square test. The study results were as follows 1. Current smokers were $64.0\%$, ex-smokers were $19.1\%$. and non-smokers were $16.9\%$. 2. The most common motives of smoking were anger. anxiety, depression. and stress in the workplace. 3. In smoking habits, about $65.1\%$ of the current smokers smoked 11-20 cigarettes/day, and $91.0\%$ had smoked for more than 5 years. The smoking areas of the workplace were outdoor $37.9\%,\;rest\;room\;34.2\%,\; lobby\;23.0\%,\;corridor\;21.4\%,\;and\;office\;8.6\%$. 4. Regarding smoking cessation, $78.2\%$ of current smokers had attempted. The frequency of smoking cessation attempts was 1-3 or less in $67.2\%$ of smokers. The duration of smoking cessation was 1-3 month or less in $61.6\%$ of the smokers. 5. The mean score for smoking knowledge was 17.62, smoking attitude 75.74. and perceived health state 12.27. 6. There were significant differences between smokers and non-smokers 10 smoking attitude (t=5.29, p=0.00), and perceived health state(t=6.47, p=0.00). 7. As a result of the homogeneity test, both types of smoking and perceived health state proved to have significant differences in the change of health state compared with 4 weeks ago'$(x^2=20.26,\;p=0.00)$ and the level of satisfaction of health state in activities of daily living'$(x^2=15.47,\; p=0.05)$. The important findings of this study showed that a smoking cessation program needs to be developed to enhance the negative smoking attitude. to promote the perceived health state through smoking cessation, to encourage the intention of smoking cessation, and to develop strategies of stress management.
Kang, Dae Hun;Kim, Jun Won;Lee, Jong Hun;Yoon, Seo Young;Choi, Tae Young
Journal of the Korean society of biological therapies in psychiatry
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v.24
no.3
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pp.230-238
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2018
Objectives : Among adolescents, the proportion of daily smoking tends to increase with age, and does not return to the previous level. Therefore, we examined the factors associated with smoking frequency in a nationwide sample of Korean adolescents to help prevent the progression of smoking. Methods : Among 127,804 adolescents who participated in the 2016 and 2017 Korean Youth Risk Behavior Web-Based Survey, data from 7,781 adolescents who replied that they currently smoked were analyzed. According to the frequency of cigarette smoking, participants were classified into daily and non-daily smokers. Participants' socio-demographic characteristics, smoking behavior, and psychological problems including perceived stress, depressive mood, and suicidality were assessed. Results : There were 3,627(47.4%) daily smokers and 4,154(52.6%) non-daily smokers. Low parental educational level, and early smoking experience were positively associated with daily smoking. High academic achievement, and high socio-economic status were negatively associated with daily smoking. Daily smoking was positively associated with lower happiness, lower sleep satisfaction, and severe stress during the past 12 months. Factors affecting suicide attempts of smokers were sex, residential type, socioeconomic status, and early smoking experience. Conclusion : The results indicated that socially disadvantaged families, and smoking experience with young age influenced daily smoking among Korean adolescents. Daily smoking was associated with psychological problems including lower happiness, lower sleep satisfaction, and severe stress. Early smoking experience influenced suicidal attempts among Korean adolescent smokers. Early intervention for smoking cessation in this high-risk group may contribute to prevention of these psychiatric complications of smoking.
Objectives: Previous observations propose that risk-taking behaviors such as cigarette smoking are prevailing among young people with chronic conditions including diabetes. The purpose of this study was to examine whether cigarette smoking is more prevalent among diabetics than non-diabetics and whether it differs by age at the time of diagnosis with diabetes from young adulthood (YAH) to adulthood (AH). Methods: We used US panel data from the National Longitudinal Study of Adolescent Health (Add Health Study) during the years 2001 to 2002 (Wave III, YAH) and 2007 to 2008 (Wave IV, AH). Multivariate logistic regression models were applied to estimate odds ratios (ORs) and 95% confidence intervals (CIs) of cigarette use behaviors according to age at the time of diagnosis with diabetes, after adjusting for demographic and selected behavioral factors. Results: Of 12 175 study participants, 2.6% reported having been diagnosed with diabetes up to AH. Early-onset diabetics (age at diagnosis <13 years) were more likely than non-diabetics to report frequent cigarette smoking (smoking on ${\geq}20$ days during the previous 30 days) in YAH (OR, 3.34; 95% CI, 1.27 to 8.79). On the other hand, late-onset diabetics (age at diagnosis ${\geq}13$ years) were more likely than non-diabetics to report heavy cigarette smoking (smoking ${\geq}10$ cigarettes per day during the previous 30 days) in AH (OR, 1.54; 95% CI, 1.03 to 2.30). Conclusions: The current study indicated that diabetics are more likely than non-diabetics to smoke cigarettes frequently and heavily in YAH and AH. Effective smoking prevention and cessation programs uniquely focused on diabetics need to be designed and implemented.
Background: For generations, cigarette smoking has presented an important public health concern. This study aimed to compare the health-promoting behavior, exercise capacity, physical activity level, health literacy, and knowledge level of smoking-related diseases between smokers and non-smokers. Methods: The study included 71 smokers (mean age, 32.69±8.55 years) and 72 non-smokers (mean age, 31.88±9.94 years) between the ages of 20 and 60 years. Assessments included a 6-minute walking test (6MWT), Godin Leisure-Time Physical Activity Questionnaire, Health-Promoting Lifestyle Profile II (HPLP-II), Cardiovascular Risk Factors Knowledge Level Scale (CARRF-KL), Asthma/COPD Awareness Questionnaire, the World Health Organization Quality of Life-Bref questionnaire (WHOQoL-Bref [TR]), and Health Literacy Questionnaire (HLQ). Results: The results from the study show that the number of coronary artery disease risk factors measured significantly higher among the smoker group members when compared to that of the non-smoker group members (p=0.001). Smokers had significantly lower %6MWT distance than non-smokers (84.83±4.72 and 93.45±7.16, respectively; p<0.05). However, there were no significant differences between the smokers and non-smokers in terms of physical activity, CARRF-KL, HLQ, WHOQoL-Bref, and HPLP-II subscales or total scores (p>0.05). Additionally, while only forty-one smokers (57.7%) were active, 48 of the non-smoker group was active (66.7%). Conclusion: Smokers suffer greater negative effects to their exercise capacity in comparison to non-smokers. Although smokers and non-smokers have similar levels of health literacy and similar levels of knowledge about cardiovascular disease risk factors and obstructive lung diseases, health professionals could continue to further increase individuals' awareness of smoking-related risk factors and continue to emphasize the importance of physical activity and exercise for protecting cardiopulmonary health.
Cigarette smoking is a major risk factor of atherosclerosis and has been reported to contain an abundance of free radical species which could be expected to deplete antioxidants such as vitamin C . The present study was designed to investigate the relationship between smoking, plasma lipid and lipoprotein concentration, and plasma vitamin C level. Fifty-five healthy male smokers and 32 non-smokers were investigated in the study. Mean age, body weight , BMI and blood pressure made no differences in both smokers and non-smokers. Significantly, smokers has higher plasma total cholesterol and LDL-C , and lower HDL-C /LDL-C ratio compared with non-smokers. Plasma level of thiobartiturin acid reactive substances(TBARS), indicator of lipid peroxidation and increased susceptibility of LDL towards lipid perosidation, were elevated in smokers(p<0.001), while the plasma vitamin C level of smokers was significantly lower than that of non-smokers(p<0.05), indicating that elevated lipid peroxidation are associated with decreased plasma vitamin C content. In non-smokers a significantly positive correlation was observed between dietary vitamin C intake and plasma levels, but no such association observed in smokers. Lack of such a relationship and the decreased plasma vitamin C level in the smokers suggest that smoking may cause increased turnover of the plasma antioxidant. Consuquently, the sustained free radical load derived from smoking causes an imbalance in oxidant/antioxidant status and it could be expected that cigarette smoking renders plasma LDL more susceptible to oxidative modification . In the present study the possible explanations for that cigarette smokers have a higher risk of cardiovascular disease include the changes of blood lipid and lipoprotein concentration, and plasma vitamin C status which might have protective functions against free radicals -medaited lipid peroxidation.
In order to elucidate the effects of a lacto-ovo vegetarian diet on serum lipid levels, 91 male collegians residing in the Seoul area were recruited. The vegetarians did not smoke tobacco nor drink alcohol. Their anthropometric measurements, dietary intakes, and blood lipid concentrations were compared to age-matched omnivorous controls. The subjects were divided into four groups. The four groups were: 1) NSNDV (n=25): Non Smoking Non Drinking Vegetarians, 2) NSNDO (n=10): Non Smoking Non Drinking Omnivores, 3) SDO (n=37): Smoking, Drinking Omnivores, 4) SDM (n=11): Smoking Drinking Meat-eaters. Total serum cholesterol, HDL-cholesterol and hematocrit were analyzed. The results were as follows: Weight (p<0.05) and BMI (p<0.01) were significantly higher in SDM than NSNDV. Dietary protein (p<0.01), iron (p<0.05) and dietary lipids (p<0.01) from animals in NSNDV were significantly lower than the results in the SDM. Interestingly enough, we noted no significant differences between the four groups in terms of average total dietary protein, dietary lipids and dietary iron, total serum cholesterol, or HDL-cholesterol. Dietary fiber intake was significantly higher in NSNDV than in SDM (p<0.05). Weight, BMI, and total cholesterol were significantly positively correlated with animal protein (p<0.05) and animal lipid (p<0.01) intake. These results showed that vegetarian collegians who haven't smoked tobacco nor drunk alcohol evidenced lower body weight, BMI, and dietary animal lipid intake, but higher dietary fiber intake, than the other three groups. Additionally, intake of animal protein (p<0.001) and intake of animal lipids (p<0.001) were significantly positively correlated with body weight, BMI, and total serum cholesterol in male collegians.
Journal of the Korean Association of Oral and Maxillofacial Surgeons
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v.27
no.6
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pp.519-525
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2001
The oral cavity has frequent contacts with many carcinogenic compounds and its soft tissue is continuously stimulated by numerous dental factors. We have examined the detailed dental factors and its correlation with oral squamous cell carcinoma, and denture-wearing effects to analyze the effect of the dental factors on the genesis of oral squamous cell carcinoma. We have studied clinical contributing factors and the dental factors in the genesis of oral squamous cell carcinoma when the effects of smoking and drinking are controlled. The study cases are 100 patients(75 males and 25 females) who were diagnosed histo-pathologically as squamous cell carcinoma at the Yonsei Medical Center. The control group was 154 patients who have no systemic malignant tumors. The effects of 6 dental factors were analyzed in this study. They were divided into the smoking group, the non smoking group, the drinking group, and the non-smoking group. The effects of dental factors were analyzed in each group. In this study, we have drawn some conclusions on the relationship between the dental factors and oral squamous cell carcinoma using $x^2$-test. 1. The repaired teeth have statistical significance on the genesis of squamous cell carcinoma. This is probably due to the combining effects of past poor oral hygiene and continuous stimulation due to poor prosthesis. 2. There is statistical significance of the lost teeth in the smoking group, and the repaired teeth and the degree of alveolar bone resorption had statistical significance in the non-smoking group. 3. Smoking and drinking by-itself have no statistical significance in the genesis of oral squamous cell carcinoma. However, in combination, they have statistical significance. In this study, dental factors had a synergistic effect with smoking and drinking. Together with avoidance of smoking and drinking, appropriate restoration and oral hygiene control are most important factors in the preventive aspects of the oral squamous cell carcinoma.
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