OBJECTIVETo study the association between reasons for smoking and results related to successful smoking cessation.

METHODSA community-based case-control study was conducted with 642 male adults recognized as successful spontaneous smoking quitters being the subject cases while another 700 male adults who had failed to quit smoking were served as the controls. Russell Reason for Smoking Questionnaire (RRSQ) was used to investigate the reasons for smoking. Dominance logistic regression was performed to determine the relative importance of reasons for starting smoking and the endpoint of successful quit smoking.

RESULTSAfter adjusting the potential confounders of age, age of smoking initiation, marital status, profession, and education, the adjusted means of sedative and stimulation of RRSQ in the successful quitters were significant lower than that in the failed quitters. Results from the dominance logistic regression showed that the first two important factors for smoking cessation were sedative and stimulation of RRSQ, followed by psychological image, automatic, hand-mouth activity, indulgence, and addiction.

CONCLUSIONThis study demonstrated that factors as dependence-addiction showed more important impacts than the social-psychological ones on the endpoint of successful smoking cessation.

Adult ; Behavior, Addictive ; Case-Control Studies ; Humans ; Male ; Smoking ; psychology ; Smoking Cessation ; statistics & numerical data ; Smoking Prevention ; Surveys and Questionnaires

BACKGROUND: This study aims to understand the extent of adolescents' attempts to quit using tobacco and the factors influencing such attempts in Korea, using a descriptive, cross-sectional design and secondary data analysis with the 2019 Youth Health Behavior Survey. METHODS: The participants were 4028 adolescent tobacco users who had used tobacco for 1 day or more in the past 30 days. The data analysis was performed using IBM SPSS/WIN 26.0 program, and multivariable logistic regression analysis was conducted using the complex sampling method module. RESULTS: A total of 68.2% of the participants attempted to quit using tobacco. We analyzed the factors for adolescents' attempts to quit using tobacco by dividing them into psychological, physical, behavioral, and environmental dimensions. The factors influencing adolescents' attempts to quit using tobacco, identified through multivariable logistic regression analysis, are as follows: participation in sports activities (OR = 1.20, 95% CI 1.01-1.41), vigorous physical activity (OR = 1.24, 95% CI 1.06-1.46), and type of tobacco product used (OR = 1.65, 95% CI 1.24-2.21) in the behavioral dimension; pictorial cigarette pack warnings (perceived smoking as unhealthy) (OR = 1.91, 95% CI 1.56-2.36), and the presence of secondhand smoking at home (OR = 1.18, 95% CI 1.01-1.38) in the environmental dimension. CONCLUSIONS Schools and public healthcare providers must consider multidimensional factors when providing support for successful tobacco cessation in adolescents and focus particularly on elements relating to physical activity and environmental factors.
Adolescent ; Adolescent Health/statistics & numerical data* ; Cross-Sectional Studies ; Female ; Humans ; Male ; Republic of Korea ; Smoking Cessation/statistics & numerical data* ; Tobacco Smoking/psychology*

Adult ; Aged ; Aged, 80 and over ; Beijing ; Cross-Sectional Studies ; Female ; Humans ; Male ; Middle Aged ; Smokers/statistics & numerical data* ; Smoking/psychology* ; Smoking Cessation/statistics & numerical data* ; Young Adult

Adult ; China ; Female ; Humans ; Male ; Middle Aged ; Program Evaluation ; Smoking Cessation ; psychology ; statistics & numerical data ; Young Adult

Objective: Smoking is the most important risk factor for COPD. Understanding the smoking rate, current smoking rate, average age to start smoking and average daily consumption of cigarettes among people aged ≥40 years in China can provide scientific evidence for the effective control and prevention of COPD. Methods: Data were from COPD surveillance in China (2014 to 2015) which covered 31 provinces, autonomous regions and municipalities. A total of 75 107 adults aged ≥40 years selected through multi-stage stratified cluster sampling from 125 surveillance sites (county/district) were surveyed by electronic questionnaire during face to face interviews. The smoking rate and other smoking index were estimated by using weighting complex sampling design. Results: The smoking rate and current smoking rate were 40.0% (95%CI: 38.5%-42.0%) and 31.0% (95%CI: 29.7%-32.0%), respectively, among the Chinese aged ≥40 years in 2014. The smoking rate and current smoking rate in males (74.1% and 57.6%) were much higher than those in females (5.4% and 4.0%). And the two rates were significantly higher in rural area (41.2% and 32.4%) than in urban area (38.8% and 29.5%). The mean age of smokers to start smoking was 20.1 (95%CI: 19.7-20.5) years. The younger the smokers were, the earlier their average age to start smoking was (The ages to start smoking for smokers aged 40-, 50-, 60-, ≥70 years were 18.3, 19.2, 20.9 and 23.1 years, respectively). Average daily cigarette consumption of current daily smokers was 18.9 (95%CI: 18.1-19.7) cigarettes, and the daily cigarette consumption was higher in males (19.3 cigarettes) than in females (12.5 cigarettes). Conclusion: The smoking rate in males aged ≥40 years is high in China. Compared with urban area, the smoking rate in rural area is higher, posing a big challenge for COPD control and prevention.
Adult ; Aged ; Asian People/statistics & numerical data* ; China/epidemiology* ; Female ; Humans ; Male ; Prevalence ; Risk Factors ; Smoking/psychology* ; Smoking Cessation ; Surveys and Questionnaires ; Young Adult

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

PURPOSE: Cigarette smoking is associated not only with increased risk of cancer incidence, but also influences prognosis, and the quality of life of the cancer survivors. Thus, smoking cessation after cancer diagnosis is necessary. However, smoking behavior among Korean cancer-survivors is yet unknown. MATERIALS AND METHODS: We investigated the smoking status of 23770 adults, aged 18 years or older, who participated in the Health Interview Survey of the Korea National Health and Nutrition Examination Survey from 2007 to 2010. Data on the cancer diagnosis and smoking history were obtained from an interview conducted by trained personals. "Cancer-survivor" was defined as anyone who has been diagnosed with cancer by a physician regardless of time duration since diagnosis. Smoking status was classified into "never-smoker", "former-smoker", and "current-smoker". Former-smoker was further divided into "cessation before diagnosis" and "cessation after diagnosis". RESULTS: Overall, 2.1% of Korean adults were cancer-survivors. The smoking rate of Korean cancer-survivors was lower than that of non-cancer controls (7.8+/-1.3% vs. 26.4+/-0.4%, p<0.001). However, 53.4% of the cancer-survivors continued to smoke after their cancer diagnosis. In multivariate analysis, male gender [odds ratio (OR), 6.34; 95% confidence interval (CI), 2.62-15.31], middle-aged group (OR, 2.74; 95% CI, 1.12-6.72), the lowest income (OR, 4.10; 95% CI, 1.19-14.15), living with smoking family member(s) (OR, 5.49; 95% CI, 2.42-12.48), and the poor self-perceived health status (OR, 2.78; 95% CI, 1.01-7.71) were independently associated with persistent smoking among Korean cancer-survivors. CONCLUSION: The smoking rate among Korean cancer survivors is low. However, the smoking cessation rate after the cancer diagnosis is also low. This mandates comprehensive and systematic intervention for smoking cessation among cancer-survivors.
Adolescent ; Adult ; Aged ; Female ; Health Status ; Health Surveys ; Humans ; Incidence ; Male ; Middle Aged ; Multivariate Analysis ; Neoplasms/chemically induced/*psychology ; Nutrition Surveys ; Odds Ratio ; Prevalence ; Prognosis ; *Quality of Life ; Republic of Korea/epidemiology ; Sex Distribution ; Smoking/*adverse effects/epidemiology/psychology ; Smoking Cessation/*psychology/statistics & numerical data ; Socioeconomic Factors ; Survivors/*psychology