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

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*

Objective: To examine the sex-specific associations between tobacco smoking and risk of cardiovascular diseases in Chinese adults. Methods: The present analysis included 487 373 participants from the China Kadoorie Biobank after excluding those with cancer, heart diseases, stroke at baseline survey. The baseline survey was conducted from June 2004 to July 2008. The number of follow-up years was calculated from the time that the participants completed baseline survey to the time of any event: CVD incidence, death, loss of follow-up, or December 31, 2015, whichever occurred first. We used Cox proportional hazards regression models to estimate the HRs and 95%CI of incident cardiovascular diseases with tobacco smoking. Results: During a median follow-up of 8.9 years(a total of 4.1 million person years), we documented 33 947 cases of ischemic heart diseases, 6 048 cases of major coronary diseases, 7 794 cases of intracerebral hemorrhage, and 31 722 cases of cerebral infarction. The prevalence of smoking was much higher in men (67.9%) than in women (2.7%). Smoking increased risk of all subtypes of cardiovascular diseases. Compared with nonsmokers, the multivariable-adjusted HRs (95% CI) for current smokers were 1.54 (1.43-1.66) for major coronary event, 1.28 (1.24-1.32) for ischemic heart disease, 1.18 (1.14-1.22) for cerebral infarction, and 1.07 (1.00-1.15) for intracerebral hemorrhage, respectively. Female smokers tended to have greater risk of developing major coronary event associated with amount of tobacco smoked daily (interaction P=0.006) and age when smoking started (interaction P=0.011). There was no sex difference in these two effects for ischemic heart diseases, intracerebral hemorrhage and cerebral infarction (all interaction P>0.05). Conclusions: This prospective study confirmed increased risk of all subtypes of cardiovascular diseases in current smokers. Smoking was more harmful to women than to men for major coronary event.
Adult ; Asian People/statistics & numerical data* ; Cardiovascular Diseases/epidemiology* ; China/epidemiology* ; Female ; Humans ; Incidence ; Male ; Neoplasms/epidemiology* ; Prevalence ; Prospective Studies ; Risk Factors ; Smoking/ethnology* ; Smoking Cessation ; Stroke/epidemiology* ; Tobacco Smoking/adverse effects*

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 done to develop a strength based I-change smoking cessation program for middle school boys and identified its effects. METHODS: The study design was a nonequivalent control group pre-post test design. The participants were 97 middle school students from D city, who were in school from April 6 to September 25, 2015. The experimental group participated in the strength based I-change smoking cessation program, while the comparative group participated in a general smoking cessation program. The control group did not participate in any program. Data analyses involved χ²-test, Fishers' exact test, Bonferroni test, and Repeated measures ANOVA, with the IBM SPSS for Windows (version 20.0) program. RESULTS: Compared to the comparison and control groups, the experimental group showed significant improvement in knowledge, attitude, self-efficacy, behavior change. Also cotinine in urine and modeling of social influence in the experimental group significantly decreased after the strength based I-change smoking cessation program. CONCLUSION: These findings indicate that the strength based I-change smoking cessation program is an effective intervention for middle school boys who smoke. The findings suggest that such programs can be used at public health centers or through school health education to decrease smoking in adolescents.
Adolescent ; Cotinine ; Education ; Evaluation Studies as Topic ; Humans ; Public Health ; School Health Services ; Self Efficacy ; Smoke* ; Smoking Cessation* ; Smoking* ; Statistics as Topic

PURPOSE: The purpose of this cross-sectional study was to describe smoking characteristics, and then to examine relationships between self-efficacy for smoking cessation and preparation of smoking cessation in service and sales woman employee with smoking in department stores. METHODS: This study was a secondary data analysis carried by the smoking cessation support center. One hundred six employees smoking women participated from two department stores. Collected data were analyzed using SPSS 20.0 program. Descriptive statistics, t-test, one-way ANOVA along with Scheffé test, pearson correlation coefficients were used for statistics. RESULTS: The study results have shown that the mean score of self-efficacy for smoking cessation 5.1±2.62, preparation smoking cessation 4.0±2.89. There was positive relation between self-efficacy for smoking cessation and preparation smoking cessation. CONCLUSION: Considering the findings from this study, there is a need to develop self-efficacy for smoking cessation program for effective smoking cessation in service and sales woman smokers employee.
Commerce* ; Cross-Sectional Studies ; Female ; Humans ; Smoke* ; Smoking Cessation* ; Smoking* ; Statistics as Topic

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

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

PURPOSE: A better understanding of the factors contributing to smoking cessation would be of substantial benefit to public health. The purpose of this study was to identify significant predictors of successful smoking cessation in the Korean population. METHODS: We compared 1,181 successful quitters with 940 current smokers who made a recent attempt to quit but failed in the past 12 months using the fourth Korea National Health and Nutrition Examination Survey. We examined the relationship of sociodemographic, behavioral and environmental characteristics, comorbid conditions, and quitting methods to successful smoking cessation. RESULTS: Older age, female, being married, having higher education, having a lower level of stress, having smoked 20 or more cigarettes per day, and one's own will for quitting have been identified as significant determinants of successful cessation. Frequency of alcohol consumption and trying numerous quitting methods was inversely related to stopping smoking. CONCLUSION: This study suggests that cessation programs need to take a holistic approach and should consider these factors in setting up.
Adolescent ; Adult ; Aged ; Female ; Health Surveys ; Humans ; Male ; Middle Aged ; Nutrition Surveys ; Republic of Korea ; Risk Factors ; Smoking/*prevention & control ; Smoking Cessation/*statistics & numerical data ; Treatment Outcome ; Young Adult

OBJECTIVETo survey the smoking cessation among rural populations in Beijing.

METHODSOne natural village in Beijing suburb was sampled and all the 1901 villagers were surveyed by face-to-face interview to collect information on smoking status and smoking cessation. The potential factors related with smoking prevalence and smoking cessation were analzyed.

RESULTSThe response rate was 91.2%. The ever-smoking rate was 35.8%. Among the 621 ever-smokers, 35.5% had tried or were trying to quit smoking. The vast majority (93.9%) of smoking cessation methods was self-service method. The overall rate of abstinence was 12.4%, and the success rate was higher in those groups of elder age, lower educational level, lower income level, having respiratory symptoms, and/or without nicotine dependence. There were 291 responders (46.9%) had the willingness to quit. Responders at older age, having respiratory symptoms, or with nicotine dependence had higher willingness to quit.

CONCLUSIONSThe tobacco control efforts in rural areas should be strengthened. In part of motivated intervention, the advice should be given from the family, friends, doctors to young, asymptomatic smokers.