• Journal of Korean Academy of Fundamentals of Nursing
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• v.15 no.1
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• pp.60-70
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• 2008

Purpose: This study was done to identify types of smoking decision making-temptation in adolescents and characteristics related to type among student smokers. Method: Data collection was done from March to July. 2006. A survey was administered to 275 students in 13 high schools and 15 middle schools in Seoul, South Korea. To identify types and characteristics smoking decision making-temptation in adolescents, cluster analysis using the K-mean method was employed. Characteristics of the influential variables according to the identified types of adolescent smokers were evaluated using ANOVA. Results: Four types of smoking pattern in adolescents were identified: habitual craving (17.7%), nicotine dependence (35.8%), feeblemindedness (28.4%), and self control (18.1%). The score for nicotine dependency was higher in the habitual craving type than any other type (F=11.79, p=.001), while the score for self efficacy for smoking abstinence was higher in the self control type (F=23.06, p=.000). Conclusions: Findings from this study suggest that effective interventions for smoking cessation in adolescents require not only active implementation of nicotine replacement therapy but also development of individualized approaches for each person targeting change in the social environment that may lead to positive smoking decisional balance.

• Korean Journal of Health Education and Promotion
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• v.22 no.4
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• pp.107-122
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• 2005

Objectives: To prevent smoking among adolescents, we should facilitate school-based smoking prevention programs and provide supports for teachers to participate actively in these programs. This study investigated Korean middle teachers' intentions, perceptions, and attitudes toward participating in smoking prevention programs. Methods: The study design was cross-sectional. Our conceptual framework utilized the Theory of Planned Behavior by Fishbein and Ajzen. We conducted open-ended elicitation interviews with teachers. We developed the survey questionnaire contents with data from these interviews, and distributed the questionnaires in 2002 to 194 school teachers from four schools in Seoul and Kyounggi-Do. Teachers' beliefs(behavioral, normative & control) and intentions about participating in smoking prevention programs were measured by 7-point scales. Results: The majority of teachers surveyed reported participating in adolescents' smoking prevention programs, while only less than 10% teachers reported having educational training for such programs. Teachers' attitudes toward participating in smoking prevention programs were positive, but they did not feel strong subjective norms about participating in the programs. They reported several barriers as well as facilitating conditions in participating in those programs. In correlation analysis, teachers' subjective norms and attitudes toward participating in smoking prevention were significantly correlated with their intentions to participating in those programs. Teachers with positive perceptions about smoking prevention programs were more likely to have strong intentions to participation in them, while teachers who received educational training and instructions on how to teach in smoking prevention programs were more likely to have positive perceptions than those who did not. Conclusion: We concluded that smoking prevention programs for adolescents can be made more effective by increasing societal expectations that teachers participate in these programs, and by providing additional resources dedicated to facilitating teachers' active participation in them.

• Asian Pacific Journal of Cancer Prevention
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• v.13 no.11
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• pp.5483-5488
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• 2012

Background: Although nicotine dependence plays a role as a main barrier for smoking cessation, there is still a lack of solid evidence on the validity of biomarkers to determine nicotine dependence in clinical settings. This study aimed to investigate whether urinary cotinine levels could reflect the severity of nicotine dependence in active smokers. Materials and Methods: Data regarding general characteristics and smoking status was collected using a self-administered smoking questionnaire. The Fagerstr$\ddot{o}$m test for nicotine dependence (FTND) was used to determine nicotine dependence of the participants, and a total of 381 participants were classified into 3 groups of nicotine dependence: low (n=205, 53.8%), moderate (n=127, 33.3%), and high dependence groups (n=49, 12.9%). Stepwise multiple linear regression model and receiver operating characteristic (ROC) curves analyses were used to determine the validity of urinary cotinine for high nicotine dependence. Results: In correlation analysis, urinary cotinine levels increased with FTND score (r=0.567, P<0.001). ROC curves analysis showed that urinary cotinine levels predicted the high-dependence group with reasonable accuracy (optimal cut-off value=1,000 ng/mL; AUC=0.82; P<0.001; sensitivity=71.4%; specificity=74.4%). In stepwise multiple regression analysis, the total smoking period (${\beta}$=0.042, P=0.001) and urinary cotinine levels (${\beta}$=0.234, P<0.001) were positively associated with nicotine dependence, whereas an inverse association was observed between highest education levels (>16 years) and nicotine dependence (${\beta}$=-0.573, P=0.034). Conclusions: The results of this study support the validity of using urinary cotinine levels for assessment of nicotine dependence in active smokers.

• Tuberculosis and Respiratory Diseases
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• v.84 no.2
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• pp.140-147
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• 2021

Background: For generations, cigarette smoking has presented an important public health concern. This study aimed to compare the health-promoting behavior, exercise capacity, physical activity level, health literacy, and knowledge level of smoking-related diseases between smokers and non-smokers. Methods: The study included 71 smokers (mean age, 32.69±8.55 years) and 72 non-smokers (mean age, 31.88±9.94 years) between the ages of 20 and 60 years. Assessments included a 6-minute walking test (6MWT), Godin Leisure-Time Physical Activity Questionnaire, Health-Promoting Lifestyle Profile II (HPLP-II), Cardiovascular Risk Factors Knowledge Level Scale (CARRF-KL), Asthma/COPD Awareness Questionnaire, the World Health Organization Quality of Life-Bref questionnaire (WHOQoL-Bref [TR]), and Health Literacy Questionnaire (HLQ). Results: The results from the study show that the number of coronary artery disease risk factors measured significantly higher among the smoker group members when compared to that of the non-smoker group members (p=0.001). Smokers had significantly lower %6MWT distance than non-smokers (84.83±4.72 and 93.45±7.16, respectively; p<0.05). However, there were no significant differences between the smokers and non-smokers in terms of physical activity, CARRF-KL, HLQ, WHOQoL-Bref, and HPLP-II subscales or total scores (p>0.05). Additionally, while only forty-one smokers (57.7%) were active, 48 of the non-smoker group was active (66.7%). Conclusion: Smokers suffer greater negative effects to their exercise capacity in comparison to non-smokers. Although smokers and non-smokers have similar levels of health literacy and similar levels of knowledge about cardiovascular disease risk factors and obstructive lung diseases, health professionals could continue to further increase individuals' awareness of smoking-related risk factors and continue to emphasize the importance of physical activity and exercise for protecting cardiopulmonary health.

• Journal of Preventive Medicine and Public Health
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• v.30 no.1 s.56
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• pp.181-193
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• 1997

The purpose of this study was to identify population subgroups with similar patterns of diet quality, physical activity, alcohol consumption and cigarette smoking of Korean. The cluster analysis was conducted using the data from Korea National Health Survey(KNHS) in 1995, which consisted of 5,805 persons. We identified six health behavior typologies : 32.9% of the sample had a good diet but sedentary activity level(good diet lifestyle), 7.2% had high activity level but less diet quality(fitness lifestyle). Individuals in the passive lifestyle cluster(39.1%) had no active health promoting activities but tended to avoid risk taking health behavior such as cigarette smoking and alcohol drinking. 1.1% of the sample were in a drinking cluster, 17.2% in a smoking cluster and 2.5% had a hedonic lifestyle characterized by heavy drinking and smoking. The other characteristics of these lifestyle clusters could be presented by demographic and socioeconomic factors.

• The Journal of Korean Medicine
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• v.26 no.3 s.63
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• pp.124-134
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• 2005

Objectives : This study was peformed to evaluate the actual state and the effects of Smoking Prevention or Stop-Smoking Programs (Sp/SSP) for middle school students and to confirm students' needs for Oriental Medical Treatments (OMT) in SP/SSP. Methods : Thirty-nine middle school students who took part in the SP/SSP of the Public Health Center (PHC) in July 2004 answered the questionnaire. There were twenty students in $PHC{\alpha}$, and 19 students in $PHC{\beta}$. Resillts : 1. At the elementary school, SP/SSP is not enough, compared with middle school (p=.000). 2. Subjects preferred tile documents from PCH to those from school $(PCH{\alpha}: p-value=.002,\;PCH{\beta}: p-value=.004)$ 3. There was no mention of OMT in school SP/SSP. 4. The degree of thinking about need of teaming OMT in SSP has a positive correlationship (p-value=.000) with intention to be treated with auricular acupuncture therapy. Results : The SP/SSP for middle-school students must be improved to be more active, more experimental and more individual. Also, a more various, positive approach in OMT is required toward the Stop-Smoking Program.

• Journal of Korean Academy of Nursing
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• v.35 no.7
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• pp.1285-1294
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• 2005

Purpose: This study was done to evaluate the predictive value of aspects of the Transtheoretical model (TTM) of behavior change as applied to smoking cessation in a rural population. Method: A convenience sample was recruited from a public health center in a community. A total of 484 participants were recruited, including 319 smokers, 116 ex-smokers and 49 non-smokers. A cross-sectional and descriptive design was used in this study. Data was analyzed using descriptive statistics, frequency statistics, ANOVA and Logistic regression. Result: The major findings were 1) The participants were assessed at baseline for their current Stage of Change resulting in a distribution with $42.1\%$ in Precontemplation, $24.1\%$ in Contemplation, $9.7\%$ in Preparation, $6.2\%$ in Active, and $17.9\%$ in the Maintenance stage. 2) There were statistically significant differences of processes of change, decisional balance and situational temptation across the stages of change. 3) The main factors that affect smoking cessation were age, number of years smoking, age when began smoking, self-liberation and negative/affective situations, which combined explained $33.2\%$ of the smoking cessation. Conclusion: TTM variables measured prior to a smoking cessation program added little predictive value for cessation outcome beyond that explained by demographic and smoking history variables.

• Journal of Preventive Medicine and Public Health
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• v.37 no.3
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• pp.225-231
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• 2004

Objectives : This study was performed to examine the influence of smoking on the blood cadmium concentration in university students. Methods : The study included 300 university students. A questionnaire interview was used to collect data. The urine cotinine and blood cadmium levels were measured as biological exposure indices. The data were analyzed using t-tests ANOVA and ANCOVA. Results : The median value of blood cadmium concentration was equal in both males and females ($0.8{\mu}g/l$). This level was relatively low in comparison with the reference value suggested by WHO (2001). ANCOVA showed that smoking related variables, urine cotinine and smoking amount, were significantly associated with the blood cadmium level (P=0.004, 0.015). However, the values with regard to traffic related air pollution were not significantly associated with the blood cadmium level. Conclusions : Smoking is an important source of nonoccupational cadmium exposure in young people. The Blood cadmium level is at least 10% higher in active smokers than in passive or nonsmokers. The level of urine cotinine can be used as an indicator of non-occupational exposure of respirable cadmium due to smoking, as there is a good correlation bestween smoking amount and the urine cotinine level.

• Asian Pacific Journal of Cancer Prevention
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• v.17 no.6
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• pp.2833-2839
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• 2016

Background: Tobacco use among youth is a major public health problem. Youth outside of formal school settings are often understudied but may be at increased risk. Materials and Methods: A descriptive cross-sectional study was carried out among 326 young people aged 15-24 years in four randomly selected motor parks in Lagos state. Interviewer-administered questionnaires were used to collect data. Results: The mean age of the respondents was $21.0{\pm}2.3yrs$. Many 252 (77.3%) dropped out before the end of the third year of secondary schooling. The majority were aware that active (78.2%), and passive smoking (77.3%) are harmful to health. Nearly two-thirds of the respondents disagreed with an outright ban of cigarettes (63.2%) and restriction of cigarette sales to persons below 18 years (67.9%) while 254 (66.8%) supported a ban on tobacco smoking in enclosed public places. One hundred and fifty (46.0%) respondents had experimented with smoking of which 106 (32.5%) had progressed to become current smokers. Half of the current smokers, 54 (50.9%), felt the need for a cigarette first thing in the morning. A multivariate analysis for smoking initiation, showed that for every increasing year of age, respondents were 1.08 times more likely to have initiated cigarette smoking; males and respondents who lived alone or with peers were 2.34 times and 1.77 times more likely to have initiated smoking respectively; those who consume alcohol and marijuana were 7.27 and 1.89 times respectively more likely to have initiated smoking while those who consumed alcohol were 6.17 times more likely to be current smokers.

• Journal of Industrial Convergence
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• v.21 no.2
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• pp.73-77
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• 2023

This study investigated the level of knowledge about changes in the oral environment according to the presence or absence of smoking in adults in their 20s and 40s. It was conducted to use as basic data for the relationship between periodontal disease and smoking and the importance of concurrent education on smoking cessation during oral health education for adults.In subjective oral condition analysis, 65.4% of non-smokers and 59.0% of smokers thought that it was very good or good. Also, in both the non-smokers and smokers groups, the most common answer was that they thought the cleanliness of non-smokers would be higher. To the question of whether they had ever received anti-smoking education, 63.9% of non-smokers and 76.1% of smokers answered 'yes'. In the education that 'the oral environment changes depending on whether or not there is smoking', the non-smoker group showed 'no' and the smoker group showed 'yes' respectively. As a result, oral health education related to smoking and prevention It is thought that specific and active educational methods should be accompanied for this.