• Journal of Korean society of Dental Hygiene
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• v.6 no.4
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• pp.283-294
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• 2006

The purpose of this study was to examine the state of smoking among some college students, the smoking motivation of smoker students, what made them quit smoking and how they got ready for giving up smoking, as smoking had a huge impact on national health and there was a desperate necessity for preventive antismoking education programs to let students keep away from smoking. After a survey was conducted with self-administered questionnaires from October 1 through November 1, 2006, the responses from 400 students were gathered, and 384 answer sheets were analyzed except 16 incomplete ones. The findings of the study were as follows: 1. By gender, 62.4% of the male students and 28.6% of the female students were smokers, and the state of smoking was statistically significantly different according to their gender(p<0.05). 2. The largest number of the male students, which accounted 44.1%, started smoking in their high school days, and 39.5% of the females did that in middle school. As for a daily mean amount of smoking, 41.8% of the male students, the greatest percentage, smoked 10 to 19 cigarettes a day, and one to nine cigarettes were most common among the females, which represented 57.9 %. But the gap between the two was insignificant(p>0.05). As many as 83.6% of the males and 86.8% of the females had ever attempted to quit it. 3. Concerning awareness of antismoking policies, they felt that a raise in cigarette price would lead to less smoking, and that antismoking advertisement or posters through television or newspaper would deliver the same results as well. There was a statistically significant difference among their awareness(p<0.05). 4. Regarding preparation stage for quitting smoking, 31.3% of the male smokers had no intention to give it up, and 23.2% considered it. 36.7%, the largest percentage, got ready to refrain from it. Among the female smokers, 34.2% had no plans to abstain from smoking, and 36.8% took it into consideration. 23.7% got ready to do that. The females who got ready for that were outnumbered the males who did. 5. As to connections between the state of smoking and relevant knowledge, the students didn't have a good knowledge on that, and a statistically significant difference existed between the smokers and nonsmokers in smoking knowledge. 6. As for knowledge about oral diseases, they were highly cognizant of the relationship of smoking to tooth discoloration, nicotine stomatitis and bad breath, but they didn't know well about its relationship to delayed recovery from dental treatment, implant failure and ozena. Their smoking condition made a statistically significant difference to their knowledge(p<0.05). In the future, sustained research efforts should be channeled into determining how much smoking affects health and concerns oral diseases, and antismoking counseling programs should be prepared to bolster people's awareness of oral health.

• Journal of Preventive Medicine and Public Health
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• v.36 no.4
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• pp.377-382
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• 2003

Objectives : The purpose of this study was to investigate the predictor associated transitions with each stage of smoking cessation based on the Transtheoretical Model, and to provide basic data for smoking cessation programs for adolescents. Methods : The participants were 297 current and former smokers, obtained from stratified random sampling of 2nd graders from 127 high schools in B cities. The data were collected between April 6th and 16th 2002, using a structured self-report questionnaire, and analyzed using a multiple logistic regression, with the SPSS program for Windows (Version 10.0). Results : The predictors of transition from precontemplation to contemplation were consciousness raising (OR=1.22, 95% CI:1.07-1.40), coping pros (OR=.84, 95% CI:.70-1.00) and attitude of parents to smoking (OR=2.97,95% Cl: 94-9.24). The predictors of transition from contemplation to preparation were helping relationships (OR=.83, 95% CI:.72-.96), self-liberation (OR=1.15, 95% CI: 99-1.33) and nicotine dependence (OR=.76, 95% CI: 56-1.03). The only predictor of transition from preparation to action was the social pros (OR=.66, 95% CI:.57-.82). The predictors of transition from action to maintenance were self-reevaluation (OR=.81, 95% CI:.71-.92) and negative affective situation (OR=.85, 95% CI:.72-1.00). Conclusion : Adequate examination on the factors for predicting the transitional stages of change for smoking cessation in Koreans are presented in this study. The results of this study will become the pillar of smoking cessation Planning and application programs.

• Journal of Korean Academy of Fundamentals of Nursing
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• v.7 no.2
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• pp.164-176
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• 2000

Purpose : This study was done to identify the factors of decisional balance for smoking cessation among middle aged men in Korea. This was composed of a set of variables at the level of decision making when middle aged men decide to stop smoking. It was used to classify and identify the characteristics of the stages of change for smoking cessation to which the middle aged men belong, and was used to identify the variables of decisional balance which influenced the stages of change for smoking cessation in middle aged men. Methods : A convenience sample of 169 men who had smoked and were smoking, were between age 30 and 60 and lived in Seoul(mean age=44), were selected from the community. The data was collected from December 10, 1999 to February 28, 2000. The research instrument was the Decisional Balance Measure for Smoking Cessation (Velicer et al., 1985). and Stage of Change Measure(DiClemente et al., 1991). The data were analyzed using the SAS Program. Results : 1. According to stage of change measure, the 169 subjects were distributed in each stage of change for smoking cessation: in the pre-contemplation stage 63 subjects(32.7%), contemplation stage 60 subjects (35.5%), preparation stage 17 subjects(10.1%), and maintenance stage 29 subjects(17.2%). 2. Factor analysis identified 4 factors of decisional balance as appropriate factors for smoking cessation of middle aged men. There were named by the researchers; 1)'Perceived Burden to Self', 2)'Perceived Benefit to Others' 3)'Perceived Approval to Others', and 4)'Perceived Disapproval to Self'. 3. Analysis of variance showed that the three components, 1)'Perceived Burden to Self(F=8.50, P=.0001)', 2)'Perceived Benefit to Others(F=3.19, P=.025)' and 3)'Perceived DisApproval to Self(F=2.87, P=.038)were significantly associated with stage of change. 4. Through discriminant analysis, it was found that 'Perceived Burden to self' was the most influential variable in discriminating the four stages of change(pre-contemplation, contemplation, preparation, and maintenance). Conclusion : The results are consistent with the application of the Transtheoretical model, which has been used to understand how people change health behavior. Even though this study is a cross-sectional, not a longitudinal study, the findings of this study give useful information for smoking cessation intervention for the middle aged men.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.12
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• pp.581-588
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• 2017

This study was conducted to determine which factors would predict metabolic syndrome (MetS) perception and exercise by applying a machine learning classifier, or Extreme Gradient Boosting algorithm (XGBoost) from July 2014 to December 2015. Data were obtained from the Korean Community Health Survey (KCHS), representing different community-dwelling Korean adults 19 years and older, from 2009 to 2013. The dataset includes 370,430 adults. Outcomes were categorized as follows based on the perception of MetS and physical activity (PA): Stage 1 (no perception, no PA), Stage 2 (perception, no PA), and Stage 3 (perception, PA). Features common to all questionnaires for the last 5 years were selected for modeling. Overall, there were 161 features, categorical except for age and the visual analogue scale (EQ-VAS). We used the Extreme Boosting algorithm in R programming for a model to predict factors and achieved prediction accuracy in 0.735 submissions. The top 10 predictive factors in Stage 3 were: age, education level, attempt to control weight, EQ mobility, nutrition label checks, private health insurance, EQ-5D usual activities, anti-smoking advertising, EQ-VAS, education in health centers for diabetes, and dental care. In conclusion, the results showed that XGBoost can be used to identify factors influencing disease prevention and management using healthcare bigdata.

• The Journal of the Korea Contents Association
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• v.12 no.6
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• pp.317-327
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• 2012

The purpose of present study was to observe the path and influencing effects between socioeconomic class (SEC), health practices and self-rated health(SRH) by the age bracket. The subjects were 4,987 adults over 25 years old who participated in the 2008 Korean National Examination Health and Nutrition Survey and could be classified into SEC in terms of the three characteristics: education, income and occupation. Path analysis was conducted with the effects of health behaviors execution on the differences in SRH, and the complex samples analysis executed by chi-square test, t-test, ANOVA. As the result, lower SRH level paralleled with the lower SEC, and more health behaviors had differed by SEC in the younger and middle aged group. The lower SEC, the lower SRH: non-smoking and weight control for younger women and exercise for aged men had indirect effects as parameters. In conclusion, when planning a health promotion program, to select the correct target populations with consideration of the age bracket, gender and SEC and to establish tailored contents fit for each of the population would be important.

• Journal of the Korean Society for information Management
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• v.33 no.4
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• pp.7-26
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• 2016

The present study aimed at investigating the strengths and weaknesses of a mobile personal health record (PHR) application and identifying its impacts on consumer health information behavior. For the study, twenty-seven college students used a PHR application for three months, based on which the study conducted paper-based interviews with them. The results of content analysis highlighted the benefits of the PHR such as supporting preventive healthcare and motivating and providing specific guidelines for healthy lifestyles by utilizing visual interface design, sharing the data with family and assisting caregivers to manage patients' healthcare, and above all enhancing the interaction between patients and healthcare professionals. However, the study found the drawbacks of the PHR such as a lack of data entry for strength training and the incompatibility with other healthcare applications. The participants were motivated to change their health behaviors in ways such as getting rid of sleep disorders, avoiding alcohol and smoking tobacco, and losing weight, and changing eating habits. Some consumers improved self-efficacy by changing their health behaviors, while the PHR provided emotional supports to the consumers who wanted to improve their health. The present study has an academic significance because the study of PHR is a burgeoning area in Korea. The study provides insights for promoting health and medical information services to cope with the paradigm shift of healthcare fields.

• Journal of radiological science and technology
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• v.32 no.4
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• pp.381-391
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• 2009

Purposes : The purpose of this study was to analyze factors that could affect health of radiological technologists, which is useful for health care and development of programs for health promotion. Methods : Subjects were 234 of radiological technologists who work in general hospitals. Some questionnaires were made about perceptions of health condition and promotional behavior of health for this study. The questionnaires of health perception were 20 items that consist of the present condition of health, health concern and sensitivity. The reliability was sufficient(Cronbach's $\alpha=0.79$). The other questionnaires about health promotion behavior were 47 items that consist of self-realization, health responsibility, exercise, nutrition, personal relationships, and stress management. The results turned out to bewas sufficient (Cronbach's $\alpha=0.93$). Every data was treated statistically, comparison of average(t-test, ANOVA), correlation, and multiple regression. Results : Related factors to health promotion behavior were age, marriage, salary, class of one's position, career, employment, and religion, in general features. In health life habit, related factors were smoke and exercise. Results of health promotion behavior was 2.90 of mean score, 0.37 of standard deviation. Correlations between factors of health perception and health promotion behavior was positive(p<0.01). Health promotion behavior were affected by sensitivity, presents condition of health, exercise, smoke, career. Sensitivity was the most affectable variable, which means that promotional behavior score became higher and higher as the score of sensitivity and present condition were increased. In addition, persons who exercise regularly, had been smoked, and has higher career showed higher score of promotional behavior. Conclusion : Radiological technologists have to keep their health, trying not to infected by a disease. Most of all, no smoking and regular exercise are the most important thing to all of members.