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Cigarette smoking is a risk factor for cardiovascular disease (CVD) and has both beneficial and harmful effects in CVD. We hypothesized that weight gain following smoking cessation does not attenuate the CVD mortality of smoking cessation in the general Korean population.
Study subjects comprised 2.2% randomly selected patients from the Korean National Health Insurance Corporation, between 2002 and 2013. We identified 61,055 subjects who were classified as current smokers in 2003–2004. After excluding 21,956 subjects for missing data, we studied 30,004 subjects. We divided the 9,095 ex-smokers into two groups: those who gained over 2 kg (2,714), and those who did not gain over 2 kg (6,381, including weight loss), after smoking cessation. Cox proportional hazards regression models were used to estimate the association between weight gain following smoking cessation and CVD mortality.
In the primary analysis, the hazard ratios of all-cause deaths and CVD deaths were assessed in the three groups. The CVD risk factors and Charlson comorbidity index adjusted hazard ratios (aHRs) for CVD deaths were 0.80 (95% confidence interval [CI], 0.37 to 1.75) for ex-smokers with weight gain and 0.80 (95% CI, 0.50 to 1.27) for ex-smokers with no weight gain, compared to one for sustained smokers. The associations were stronger for events other than mortality. The aHRs for CVD events were 0.69 (95% CI, 0.54 to 0.88) and 0.81 (95% CI, 0.70 to 0.94) for the ex-smokers with and without weight gain, respectively.
Although smoking cessation leads to weight gain, it does not increase the risk of CVD death.
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Varenicline is now very useful medication for cessation; however, there is only little result of researches with varenicline for cessation of hospitalized patients. This research attempted to analyze the cessation effect of medication and compliance of hospitalized patients.
This research included data for 52 patients who were prescribed varenicline among 280 patients who were consulted for cessation during their admission period. This research checked whether smoking was stopped or not after six months and analyzed their compliance, the factors for succeeding in smoking cessation.
One hundred and ninety hospitalized patients participated in smoking cessation counseling among 280 patients who included consultation from their admission departments. And varenicline was prescribed for only 80 patients after counseling. Nineteen smokers were successful in smoking cessation among 52 final participants representing the rating of success of 36.5%. The linkage between compliance of varenicline and rate of smoking successful has no statistical significance. The factors for succeeding in smoking of hospitalized patients are admission departments, diseases, and economic states.
Smoking cessation program has low inpatient compliance. Cooperation of each departments is very important for better compliance. Success rate of cessation was relatively high (36.5%). Cessation attempt during hospitalization is very effective strategy.
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Smoking is a well-known risk factor of cancer, chronic disease, and cerebrovascular disease. Hospital admission is a good time to quit smoking but patients have little opportunity to take part in an intensive smoking cessation intervention. The purpose of this study was to identify the factors of successful smoking cessation among stroke patients who undergo an intensive cessation intervention during the hospitalization period.
Thirty-nine male smokers who were admitted with stroke were enrolled in the study. They participated in a smoking cessation intervention during hospitalization. Smoking status was followed up by telephone 3 months later. Nicotine dependence, sociodemographic factors, and other clinical characteristics were assessed.
After 3 months post-intervention, the number of patients who stopped smoking was 27 (69.2%). In addition, there was no significant difference in nicotine dependence, sociodemographic factors, and clinical characteristics. Only the stages of readiness for smoking cessation were a significant predictor (odds ratio, 18.86; 95% confidence interval, 1.59–223.22).
This study shows that a patient's willingness to quit is the most significant predictor of stopping smoking after Inpatient cessation Intervention for stroke Patients.
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This study aimed to evaluate an association between smoking, smoking cessation, and periodontal disease in Korean adults.
The data were collected from 8,336 participants, aged between 20 and 64 years, who participated in the fifth Korea National Health and Nutrition Examination (2010 and 2012). Smoking status was assessed using self-administered questionnaires. Periodontal disease was defined as a community periodontal index ≥3 points. Logistic regression analysis was used to evaluate an association between smoking, smoking cessation, and periodontal disease after adjusting for age, sex, education, monthly income, diabetes, obesity, alcohol intake, and frequency of tooth brushing.
The risk of periodontal disease was higher among current smokers (odds ratio [OR], 1.49; 95% confidence interval [CI], 1.21-1.83) than never smokers. Among current smokers, the risk of periodontal disease was increased in smokers of ≥10 cigarettes/d, ≥20 years duration, and >10 pack-years compared with never smokers (P<0.05). Among former smokers, the risk of periodontal disease after 10 years since cessation declined to 0.56 (95% CI, 0.42-0.75) compared with current smokers and was indistinguishable statistically from never smokers.
Periodontal disease is significantly associated with smoking status in Korean adults.
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Hospitalization presents smokers with an opportunity to initiate smoking cessation. We studied the effect of inpatient counseling and follow-up after discharge on smoking cessation and assessed predictors of successful cessation.
This study included a total of 125 patients (118 male and 7 female) who were admitted to departments of neurology, cardiology, and pulmonology. They were referred to the smoking cessation clinic, and participated between September 2011 and February 2013. A counseling service lasting about thirty minutes was provided by the third-year family medicine residents during hospitalization. The follow-up counseling services, which were either by telephone or in-person physician counseling were provided at 1 week, 4 weeks, and 3 months. Smoking habits and nicotine dependency data were gathered using questionnaires, and patient information was collected from electronic medical records.
The average age in the study was 57.9 ± 10.2 years and duration of smoking was 35.9 ± 11.7 years. Daily tobacco consumption was 23.5 ± 13.2 cigarettes. The smoking cessation rate after 3 months was 42.4%. The only differences between patients in the successful cessation and failed groups were cause of admission (P = 0.039) and total number of counseling sessions after discharge (P < 0.001). In a multivariate analysis, smoking cessation was more likely when patients experienced more instances of follow-up after discharge (1-2 visits: odds ratio [OR], 8.186; 95% confidence interval [CI], 1.060 to 63.239; ≥3 visits: OR, 121.873; 95% CI, 14.462 to 1,027.055).
Smoking cessation counseling during hospitalization and further follow-up by telephone or outpatient counseling after discharge contributed to an increased smoking cessation rate. The smoking cessation rate also tended to increase with total counseling numbers.
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Smoking rates among Korean adult males is still high despite multifaceted efforts to reduce it. In Korea, there have been several studies on the effectiveness of smoking cessation education for inpatients, health check-ups, and smoking cessation clinics. However, there haven't been any studies on the effectiveness of smoking cessation education conducted outside the hospital. This study investigated effectiveness of brief education on smoking cessation with an expiratory carbon monoxide (CO) measurement outside the hospital among adult male office-workers in Korea.
From April 1st to May 10th, 2012, we conducted a controlled trial among 95 adult male office workers over the age of 19 who smoke outside, in a public place in Seoul by cluster sampling. For the education group, we provided smoking cessation education for about 5 to 10 minutes, measured the expiratory CO level, and made the subjects complete questionnaires, while only self-help materials on quitting smoking were given to the control group. After 4 weeks, we evaluated the change in the level of motivation or success to quit smoking in both groups via e-mail or mobile phone.
In the education group, the level of motivation to quit smoking was improved significantly. A multiple logistic regression analysis showed that the odds ratio of improved motivation to quit smoking in the education group was 28.10 times higher than that of the control group.
Brief education on smoking cessation with expiratory CO measurement conducted outside the hospital could enhance the level of motivation to quit smoking.
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Although cigarette smoking is a major modifiable risk factor for the occurrence of primary and secondary cardiovascular disease (CVD), not all survivors from CVD attacks can successfully stop smoking. However, little is known about the factors associated with the change in smoking behavior after CVD attack.
Study subjects included 16,807 participants (≥19 years) in the fourth Korean National Health and Nutrition Examination Surveys. From them, we selected 180 persons who had previous CVD diagnosis (angina pectoris, myocardial infarction, or stroke) and were smoking at the time of CVD diagnosis. Then, we categorized the 180 persons into two groups according to change in smoking status after the CVD: quitter and non-quitter. Logistic regression analysis was done to evaluate multivariable-adjusted association.
Even after CVD diagnosis, 63.60% continued to smoke. Fully-adjusted analysis revealed that regular drinking (odds ratio [OR], 4.44) and presence of smokers among family members (OR, 5.86) were significantly (P < 0.05) associated with greater risk of persistent smoking, whereas lower education level (OR, 0.20), larger amount of smoking (OR, 0.95), longer time since diagnosis (OR, 0.88), and diabetes (OR, 0.36) were significantly (P < 0.05) associated with decreased risk of persistent smoking after CVD.
A great proportion of CVD patients tended to continue smoking in the Korean population. In order to reduce smoking rates among CVD patients further, more aggressive efforts towards smoking cessation should be continuously made with consideration of individual socioeconomic, behavioral, and clinical characteristics of CVD patients.
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Smoking and obesity are known risk factors for cardiovascular diseases, while low serum levels of high density lipoprotein-cholesterol is an independent risk factor for mortality from ischemic heart diseases. This study examines changes in the serum level of high density lipoprotein-cholesterol depending on changes in the state of smoking and body mass index.
A survey and blood check-up were conducted on medical examination, along with acts of smoking among male adults of 25 years or older who visited the health promotion center of Daegu Medical Center from 2007 to 2010, and the results were analyzed. The subjects were divided into two different groups, current smokers and abstainers, and body mass index, total cholesterol, high density lipoprotein-cholesterol, low density lipoprotein-cholesterol, and triglycerides for three years were compared in both groups. Changes between the first and second visits in body mass index and lipid profiles of the two groups were compared to analyze changes after abstaining.
The subject group which showed a significant increase in high density lipoprotein-cholesterol level was only abstainers whose body mass index had decreased by more than 0.5 kg/m2.
Smoking cessation increases serum levels of high density lipoprotein-cholesterol. If reduction of body mass index and smoking cessation are combined, the risk of cardiovascular disease will be lower in proportion to the increase in serum high density lipoprotein.
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This study was performed to assess changes in skin color over 1 month after smoking cessation. The study population consisted of 49 men who participated in a smoking cessation program from March 2010 to June 2010 at a public health centre in Yangsan, South Korea. Thirty-four men who stop smoking completely were included in our study. Instrumental evaluations of skin color were performed using Mexameter (MX 18; Courage and Khazaka Electronic GmbH) at the beginning of the study and at 1-week and 4-week follow-up visits. Skin color was evaluated by measurement of 2 main color bases-melanin and haemoglobin-with the results expressed as melanin index (MI) and erythema index (EI). Both MI and EI were significantly reduced at the 4-week follow-up visit on all 7 sites measured. We anticipate that desirable effects on skin color after smoking cessation will play a positive role in maintaining smoking abstinence in routine clinical practice.
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While smoking prevalence in Korean men has been decreasing, it is increasing in Korean women. Little is known about women's smoking inequalities in Korea. This study was conducted to investigate the association of socioeconomic indicators with the initiation and cessation of smoking among Korean women.
This was a cross-sectional study on 9,089 women aged 25-64 years from the 2008 Seoul Community Health Survey. The data on smoking and socioeconomic status were obtained through face-to-face interviews. Smoking initiation rate was defined as the proportion of the individuals who had started smoking at least one cigarette among all subjects. Smoking cessation rate was calculated by dividing the number of individuals who had quit smoking by the number of ever smokers. Education level, total family income and occupation were investigated as socioeconomic indicators.
Education level was significantly associated with both initiation and cessation of smoking. Lower educated women had a higher likelihood of smoking initiation (odds ratio [OR], 1.72; 95% confidence interval [CI], 1.17 to 2.51) but lower likelihood of smoking cessation (OR, 0.38; 95% CI, 0.22 to 0.66) than higher educated women. Smoking initiation rate was higher in manual workers (OR, 1.65; 95% CI, 1.20 to 2.27) than in non-manual workers. However, there were no significant differences of both initiation and cessation of smoking according to total household income.
This study shows that there are smoking inequalities among Korean women. It is thought that education level and occupation are important determinants of women's smoking status.
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