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*

BACKGROUND: The objective of this study is to evaluate the risk of exposure to second hand smoke (SHS) during working hours by job status and occupation. METHODS: Using the 4th Korean Working Conditions Survey (KWCS), 49,674 respondents who answered the question about SHS were studied. A chi-square test was carried out to determine whether there is a significant different in SHS exposure frequency by general and occupational characteristics and experience of discrimination at work and logistic regression analysis was carried out to identify the risk level of SHS exposure by variables. RESULTS: In this study, we found that male workers in their 40s and 50s, workers employed in workplaces with fewer than 50 employees, daily workers, and people working outdoors had a higher rate of exposure to SHS than the others. The top five occupations with the highest SHS exposure were construction and mining-related occupations, metal core-makers-related trade occupations, wood and furniture, musical instrument, and signboard-related trade occupations, transport and machine-related trade occupations, transport and leisure services occupations. The least five exposed occupations were public and enterprise senior officers, legal and administrative professions, education professionals, and health, social welfare, and religion-related occupations. CONCLUSION: Tobacco smoke is a significant occupational hazard. Smoking ban policy in the workplace can be a very effective way to reduce the SHS exposure rate in the workplace and can be more effective if specifically designed by the job status and various occupations.
Discrimination (Psychology) ; Education ; Humans ; Interior Design and Furnishings ; Leisure Activities ; Logistic Models ; Male ; Music ; Occupations ; Smoke ; Smoking ; Social Welfare ; Surveys and Questionnaires ; Tobacco ; Tobacco Smoke Pollution ; Wood

BACKGROUND: There have been inconsistent findings reported on maternal passive smoking during pregnancy and child risk of ADHD. In this study, ADHD symptoms at pre-school age children in association with prenatal passive and active tobacco smoke exposure determined by maternal plasma cotinine levels in the third trimester were investigated. METHODS: This was a follow-up study of the birth cohort: the Hokkaido Study on Environment and Children's Health. Children whose parents answered Strengths and Difficulties Questionnaire (SDQ) to identify child ADHD symptoms (hyperactivity/inattention and conduct problems) and total difficulties at age 5 years with available maternal plasma cotinine level at the third trimester were included (n = 3216). Cotinine levels were categorized into 4 groups; ≦ 0.21 ng/ml (non-smoker), 0.22-0.51 ng/ml (low-passive smoker), 0.52-11.48 ng/ml (high-passive smoker), and ≧ 11.49 ng/ml (active smoker). RESULTS: Maternal cotinine levels of active smokers were significantly associated with an increased risk of total difficulties (OR = 1.67) and maternal low- and high-passive smoking also increased the risk (OR = 1.11, 1.25, respectively) without statistical significance. Similarly, maternal cotinine levels of active smokers were associated with an increased risk of hyperactivity/inattention (OR = 1.49). Maternal low- and high-passive smoking and active smoking increased the risk of hyperactivity/inattention (OR = 1.45, 1.43, and OR = 1.59, respectively) only in boys. CONCLUSION Our findings suggested that maternal active smoking during pregnancy may contribute to the increased risk of child total difficulties and hyperactivity/inattention at pre-school age. Pregnant women should be encouraged to quit smoking and avoid exposure to tobacco smoke.
Adult ; Attention Deficit Disorder with Hyperactivity ; epidemiology ; etiology ; physiopathology ; psychology ; Child, Preschool ; Cotinine ; blood ; Female ; Follow-Up Studies ; Humans ; Japan ; epidemiology ; Male ; Maternal Exposure ; adverse effects ; Mothers ; Pregnancy ; Pregnancy Trimester, Third ; Prenatal Exposure Delayed Effects ; epidemiology ; etiology ; Risk ; Sex Factors ; Tobacco Smoking ; adverse effects ; epidemiology

OBJECTIVES: Cigarette smoking prevalence among adolescent males in rural areas of Korea has increased in recent years. The aim of this study was to explore the factors related to increasing trends in cigarette smoking among adolescent males living in rural areas. METHODS: The raw data from the Korea Youth Risk Behavior Web-based Survey from 2006 to 2009 were used. Data were analyzed by using the method of complex survey data analysis considering complex sampling design. Multiple logistic regression models were used to explore the factors affecting cigarette smoking. We evaluated the linear time trends in the prevalence of factors that were related to current smoking status and the linear time trends in cigarette smoking in groups stratified by the exposure to each factor using logistic regression models. Finally, we examined the contributions of the factors to the time trends in cigarette smoking by adjusting for each of those factors in the baseline regression models and changes in the adjusted odds ratio by survey year. RESULTS: A statistically significant increasing trend in smoking was observed after adjusting for the factors affecting cigarette smoking. Significant factors related to cigarette use were perceived stress, experience with depression, current alcohol drinking, exposure to secondhand smoke, and academic performance. The factor related to increasing trends in cigarette smoking was academic performance. CONCLUSIONS: Stress about academic performance is an important factor affecting the increase in cigarette smoking among adolescent males in a rural area of Korea.
Adolescent ; Adolescent Behavior ; Adolescent Psychology ; Alcohol Drinking ; Depression ; Humans ; Internet ; Logistic Models ; Male ; Odds Ratio ; Prevalence ; Republic of Korea/epidemiology ; Risk Factors ; Rural Population ; Smoking/*epidemiology/trends ; Tobacco Smoke Pollution

OBJECTIVETo investigate tobacco-related knowledge, attitudes and analyze related factors among the college students in Guangzhou.

METHODSIn May 2012, 11 593 college students from six universities in Guangzhou were selected and investigated by stratified cluster random sampling.Investigation content includes social demographic information, smoking behaviors, tobacco-related knowledge and attitudes. Chi-square test was used to analyze the difference about knowledge of harm of tobacco and awareness of tobacco control related legislation as well as tobacco-related attitudes between smokers and non-smokers. Factors on tobacco-related knowledge were analyzed by using rank sum test.

RESULTSCurrent smoking rate among undergraduates was 6.1% (706/11 593) , 11.5% (622/5388) for males and 1.4% (84/6205) for females. The awareness rate of that smoking addiction was a chronic disease in non-smokers(82.6%, 8954/10 836) was higher than that in smokers (73.1%, 509/696) (χ(2) = 40.09, P < 0.01). The awareness rate about smoking could cause emphysema in college students was 78.6% (8986/11 427) , and the rate was higher in non-smokers(79.3%, 8522/10 741) than that in smokers(67.6%, 464/686)(χ(2) = 52.57, P < 0.01). The awareness rate about passive smoking could cause lung cancer in college students was 84.6% (9636/11 391) , and the rate was higher in non-smokers (85.2%, 9125/10 706) than that in smokers (74.6%, 511/685) (χ(2) = 55.86, P < 0.01). The awareness about Framework Convention on Tobacco Control was 25.7% (2966/11 554) , and the rate was lower in non-smokers (25.3%, 2751/10 856) than that in smokers (30.7%, 215/700) (χ(2) = 9.80, P < 0.01). Among smokers, 54.8% (377/688) considered that smoking was enjoyful. This was higher than that in non-smokers (16.8%, 1802/10 752) (χ(2) = 606.92, P < 0.05). Among non-smokers, 92.2% (9935/10 781) considered that government should strengthen smoking control. The percentage was higher than that in smokers (74.2%, 515/694) (χ(2) = 258.13, P < 0.05). College students who were females, at high-grade and with high parental educational level, high monthly household income, high living expenses per month in school and household registration in towns and places out of Guangdong province showed higher tobacco-related knowledge score (all P values <0.01).

CONCLUSIONThe awareness of tobacco-related knowledge was not high generally among college students in Guangzhou, but the awareness was significantly higher in non-smokers than that of smokers. The related factors which influenced the awareness rate of tobacco-related knowledge include sex, grade, place of household registration, parent's educational level and household income.

Adolescent ; Adult ; China ; epidemiology ; Female ; Health Knowledge, Attitudes, Practice ; Humans ; Male ; Smoking ; epidemiology ; Smoking Prevention ; Students ; psychology ; Surveys and Questionnaires ; Tobacco Smoke Pollution ; prevention & control ; Universities ; Young Adult

OBJECTIVETo determine the associations of socio-economic and psychosocial factors with active and passive smoking in older adults.

METHODSUsing a standard interview method, we examined random samples of 6071 people aged⋝60 years in 5 provinces of China during 2007-2009.

RESULTSWorld age-standardised prevalence for current and former smoking in men was 45.6% and 20.5%, and in women 11.1% and 4.5%. Current smoking reduced with older age but increased with men, low socioeconomic status (SES), alcohol drinking, being never-married, pessimistic and depressive syndromes. Former smoking was associated with men, secondary school education, a middle-high income, being a businessman, being widowed, less frequencies of visiting children/relatives and friends, and worrying about children. Among 3774 never-smokers, the prevalence of passive smoking was 31.5%, and the risk increased with women, low SES, alcohol drinking, being married, having a religious believe, and daily visiting children/relatives. There were sex differences in the associations, and an interaction effect of education and income on smoking and passive smoking.

CONCLUSIONOlder Chinese had a higher level of smoking and passive smoking than those in high income countries, reflecting China's failures in controlling smoking. The associations with low SES and different psychosocial aspects and sex differences suggest preventative strategies for active and passive smoking.

Aged ; Aged, 80 and over ; Aging ; Female ; Humans ; Male ; Middle Aged ; Smoking ; economics ; psychology ; Socioeconomic Factors ; Tobacco Smoke Pollution ; economics

PURPOSE: This study was done to identify effects of a smoking cessation program including telephone counseling and text messaging using stages of change for outpatients who have had a myocardial infarction (MI). METHODS: This research was a quasi-experimental design with a nonequivalent control group pretest-posttest. The participants were 48 outpatients (experimental group=24, control group=24) recruited from one university hospital. They were randomly assigned to one of two groups: (a) an experimental group with telephone counseling (once a week) and text messaging (five times a week) using stages of change, and (b) a control group with traditional telephone counseling (once a month). Efficacy of the intervention was measured by comparing the two groups on smoking-related variables at 3 weeks and 12 weeks. RESULTS: At the 3-week and 12-week measurements, there were significant differences between the experimental and control groups on smoking cessation self-efficacy (p<.001), nicotine dependence (p<.001), CO levels (p<.001), and smoking cessation rates (p<.001). CONCLUSION: The results indicate that the smoking cessation program including telephone counseling and text messaging using stages of change is effective for outpatients after a MI. Further attention should be paid to the intensity of the smoking cessation program and periods for long-term follow-up.
Adult ; Carbon Monoxide/analysis ; Counseling/*methods ; Female ; Hospitals, University ; Humans ; Male ; Middle Aged ; Myocardial Infarction/*psychology ; Outpatients ; *Program Evaluation ; Self Efficacy ; *Smoking Cessation ; Telephone ; Text Messaging ; Time Factors ; Tobacco Use Disorder

PURPOSE: The present study aimed at developing an integrative stage model of smoking cessation behavior by combining highly predictable constructs extracted from previously verified health behavior models. The fitness of the hypothetical model was also tested. METHODS: The study participants were 214 Chinese students studying in Korea, presenting high smoking rates. Perceived severity, benefit, barrier, self-efficacy, and social support were measured using the modified AttitudeseSocial InfluenceseSelf Efficacy Questionnaire. Demographic and smoking-related characteristics were also evaluated. RESULTS: Results showed that the hypothetical model provides a good fit. Significant psychosocial predictors of smoking cessation stage were perceived benefit (p = .050), barrier (p = .003), and social support (p = .003). Among demographic and smoking-related characteristics, gender (p = .030), duration of smoking (p = .010), and previous smoking cessation experience (p = .020) were found to influence smoking cessation stage. In addition, gender, age, number of cigarettes smoked, previous smoking cessation experience, smoking-related symptoms, and smoking cessation education needs were found to influence psychosocial constructs significantly. CONCLUSION: The significant psychosocial predictors and demographic and smoking-related characteristics defined in the present study appear to be potent and promising predictors of smoking cessation behavior stages for a cohort of Chinese students studying in Korea.
Asian Continental Ancestry Group* ; Cohort Studies ; Education ; Health Behavior ; Humans ; Korea* ; Psychology ; Smoke* ; Smoking Cessation* ; Smoking* ; Tobacco Products ; Surveys and Questionnaires

BACKGROUND: The level of urine cotinine is an indicator of tobacco smoke exposure. The purpose of this study is to investigate urine cotinine for the purpose of assessing the smoking status of Korean smokers and non-smokers exposed to tobacco smoke. METHODS: The subjects were identified from the 2007-2009 and the 2010 data sets of the Korea National Health and Nutrition Examination Survey (KNHANES). They were assigned as non-smokers, current smokers and ex-smokers. Non-smokers were also divided into three subset groups according to the duration of smoke exposure. Each group was stratified by gender prior to analysis. RESULTS: The median value of urine cotinine in the male current smokers was 1,221.93 ng/mL which was the highest among all groups. The difference between levels of urine cotinine for male and the female groups was statistically significant (p<0.01). In the female group, passive smoke exposure groups reported higher urine cotinine levels than non-exposure groups (p=0.01). The cutoff point for the discrimination of current smokers from non-smokers was 95.6 ng/mL in males and 96.8 ng/mL in females. The sensitivity and specificity were 95.2% and 97.1%, respectively, in males, 96.1% and 96.5% in females. However, the determination of urine cotinine level was not useful in distinguishing between passive smoke exposure groups and non-exposure groups. CONCLUSION: Urine cotinine concentration is a useful biomarker for discriminating non-smokers from current smokers. However, careful interpretation is necessary for assessing passive smoke exposure by urine cotinine concentration.
Cotinine ; Discrimination (Psychology) ; Female ; Humans ; Korea ; Male ; Nutrition Surveys ; Smoke ; Smoking ; Tobacco

PURPOSE: This study was done to investigate factors affecting preparation stage to quit smoking in men. METHODS: Based on data from the Community Health Survey conducted in Chungbuk Province in 2008, we estimated rates and odds ratio (OR) of smoking cessation intention for 2,639 men who were current smokers. Multivariate logistic regression analyses were used to identify factors affecting preparation stage to quit smoking. RESULTS: Among current male smokers, the rate of smoking cessation intention was 17.1%. The OR of factors affecting smoking cessation was as follows: Compared to men with middle school education, the OR for rate of smoking cessation intention in men with high school education was 1.47 (p=.018), and for college or higher, 1.55 (p=.017). Compared to being single, the OR for cohabitation after marriage was 1.61 (p=.011) and living alone after marriage, 2.23 (p=.005). The OR for attempt to quit smoking, exposure to secondhand smoke and participation in smoking education were 6.80 (p<.001), 1.32 (p=.020) and 1.69 (p=.005), respectively. CONCLUSION: Results of this study show that it is necessary to decrease exposure to secondhand smoke and to increase participation in smoking cessation education targeting current smokers to move them from precontemplation or contemplation stage to preparation stage.
Adult ; Age Factors ; Aged ; Demography ; Humans ; Logistic Models ; Male ; Marriage ; Middle Aged ; Odds Ratio ; Smoking/*psychology ; *Smoking Cessation ; Tobacco Smoke Pollution ; Young Adult