PURPOSE: This study was to identify which factors are likely to influence the effectiveness of smoking cessation on adults who smoke in Metropolitan Incheon. METHOD: Data from 9,083 smokers, who visited a smoking cessation clinic of a public health center from Jan. to Oct. 2005, were provided by the Korean Health Research Society. Among 9,083 smokers, 1,495 people were selected for follow up care at 6 months in order to analyze the differences between two groups one is a successful group and the other is a failure group. RESULTS: The successful group included 639 people and the failure group 856 people. In the demographic profiles such as sex, age and motive registration, there was a significant difference between the two groups. In the view of smoking pattern and factors such as the expiratory CO level, the age of starting to smoke, the duration of smoking, alcohol, and dependence on alcohol use and nicotine, there were significant differences between the two groups. The smoking cessation method, results of uni variate analysis, the total number of visits to the smoking cessation clinics, and the use of nicotine gum or a patch(stage 1, stage 2) were significantly different in the two groups. CONCLUSION: The results of multi variate analysis have shown that the factors associated with the success for smoking cessation is the total number of visits to the smoking cessation clinic, and the dependence on alcohol.
Adult ; Aged ; Aged, 80 and over ; Demography ; Female ; Follow-Up Studies ; Humans ; Male ; Middle Aged ; Multivariate Analysis ; Nicotine/administration & dosage ; Smoking Cessation/*methods/psychology/statistics & numerical data

PURPOSE: This study was conducted to investigate the effect that detection of chronic disease via health screening programs has on health behaviors, particularly smoking. MATERIALS AND METHODS: We analyzed national health insurance data from 2007 and 2009. Subjects who were 40 years of age in 2007 and eligible for the life cycle-based national health screening program were included. The total study population comprised 153518 individuals who participated in the screening program in 2007 and follow-up screening in 2009. Multiple logistic regression analyses were conducted by sex, with adjustment for health insurance type, socioeconomic status, body mass index, diabetes, hypertension, hyperlipidemia, and family history of cardiovascular and/or neurovascular disease. RESULTS: Among men with smoking behavior changes, those newly diagnosed with hyperlipidemia were more likely to show a positive health behavior change, such as smoking cessation, and were less likely to have a negative behavior change (e.g., smoking initiation). Additionally, men newly diagnosed with diabetes showed lower rates of negative health behavior changes compared to those without disease. Body mass index (BMI)> or =25, compared to BMI<23, showed higher rates of positive health behavior changes and lower rates of negative health behavior changes. Newly diagnosed chronic disease did not influence smoking behavior in women. CONCLUSION: Smoking behavior changes were only detected in men who participated in health screening programs. In particular, those newly diagnosed with hyperlipidemia were more likely to stop smoking and less likely to start smoking.
Adult ; Body Mass Index ; Female ; *Health Behavior ; Health Surveys ; Humans ; Hyperlipidemias/diagnosis ; Hypertension ; Male ; Mass Screening/*methods ; Middle Aged ; *Motivation ; Regression Analysis ; Smoking/epidemiology/*psychology ; Smoking Cessation/*psychology/statistics & numerical data ; Social Class

This study was to evaluate the effectiveness of the first proactive Quitline service for smoking cessation in Korea and determine the predictors of successful smoking cessation. Smoking participants were voluntarily recruited from 18 community health centers. The participants were proactively counseled for smoking cessation via 7 sessions conducted for 30 days from November 1, 2005 to January 31, 2006. Of the 649 smoking participants, 522 completed 30 days at the end of the study and were included in the final analysis. The continuous abstinence rate at 30 days of follow-up was found to be 38.3% (200/522), in the intention-to-treat analysis. Compared with non-quitters, quitters were mostly male, smoked <20 cigarettes/ day, had started smoking at the age of > or =20 yr, and were less dependent on nicotine. Based on the stepwise multiple logistic regression analysis, the significant predictors of successful smoking cessation were determined to be male sex, low cigarette consumption, and older age at smoking initiation. We investigated the short-term effectiveness of the Quitline service and determined the predictors of successful smoking cessation.
Adult ; Aged ; Female ; Health Promotion ; Hotlines/*utilization ; Humans ; Korea ; Life Style ; Male ; Middle Aged ; Regression Analysis ; Smoking/epidemiology/*prevention & control ; Smoking Cessation/methods/psychology/*statistics & numerical data ; Telephone ; Treatment Outcome