Ko, Hong Ki;Han, Jae Joon;Lee, Yoon;Yoo, Young;Lee, Kee Hyoung;Choung, Ji Tae;Park, Sang Hee
Clinical and Experimental Pediatrics
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v.49
no.10
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pp.1042-1049
/
2006
Purpose : This study was conducted to survey the preliminary data on risk behaviors and to identify the factors that prevent risk-behaviors in late adolescence. Methods : Freshmen(n=1,297) beginning the first semester in Korea University, Seoul, Korea completed self-administered risk behavior questionnaires, comprising 5 domains : demographics, smoking, drinking, drug abuse and sexual behavior. Results : The rate of smoking experience was higher in people having friends who smoke and the predictors of transition to current smoking were male gender, urban residence, friends' smoking, and nicotine dependence. The rate of high risk drinking was higher among students who are male and who had experience of heavy episodic drinking. The study group showed a low prevalence of narcotic users, but two-thirds of students could get medicine easily without prescriptions. The prevalence of sexual experience was 6.5 percent, and the sexual education was not a predictor of contraceptive behavior. The prevalence of homosexuality was 1.6 percent, and the rate of mostly heterosexuality was higher in female students. Conclusion : The main targets of youth health education should be campaigns aimed at atcessation of reinforcing risk behaviors and the development of a surveillance system for the prevention of chronic disease. These results can be used to find risk factors of health-risk behaviors among late adolescents.
Objectives: The objective of the study was to examine the clustering patterns and correlates of multiple health behaviors (MHBs) in middle-aged Koreans with metabolic syndrome (MetS). Methods: Data on sociodemographics, clinical characteristics, health behaviors (vegetable intake, physical activity, cigarette smoking, and alcohol consumption), and psychological characteristics were collected by a self-reported survey and medical examination from 331 individuals with MetS. Clustering of MHBs was examined by measuring 1) the ratios of observed and expected prevalence of MHBs, and 2) the prevalence odds ratios. A binomial logistic regression were conducted. Results: Men were more likely than women to engage in multiple unhealthy behaviors. Clustering of smoking and heavy drinking was exhibited in the participants. Women with high vegetable intake were more likely to be physically inactive, and those with inadequate vegetable intake were more likely to be physically active. Those with lower self-regulation were more likely to engage in unhealthy behaviors. Conclusions: The findings support the multiple health behavior approach as opposed to the individual health behavior approach. Emphasis of self-regulation is necessary in developing multiple behavior intervention for individuals with MetS.
The Journal of Korean Society for School & Community Health Education
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v.19
no.1
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pp.1-11
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2018
Objectives: The purpose of this study is to provide basic data on the use of electronic cigarettes by identifying the relationship between smoking and smoking behavior and the use of electronic cigarettes. Methods: This study used data from 8,150 participants of the 'Korea National Health and Nutrition Examination Survey (KNHANES)' s 7th (2016). In this study, 1,051 people currently smoking were analyzed. The number of people using electronic cigarettes was 74 among current smokers. Results: The age of onset of smoking was 20.46 years old in the group not using electronic cigarette, and the age of starting smoking was 18.12 years old in the group using electronic cigarette(p<.001). In the education level, the current use of electronic cigarette was 1.82 times higher in high school graduates than college graduates(p<.005). The reason for using electronic cigarette was 4.32 times higher than other reasons for using electronic cigarette for the purpose of smoking cessation(p<.005). Conclusions: For the smoking cessation society, education for the electronic cigarette is needed from the adolescence and selective management for the people who use the electronic cigarette for the purpose of smoking cessation is needed.
Smokers keep smoking despite knowing that tobacco claims many lives, including their own and others'. What makes it hard for them to quit smoking nonetheless? Tobacco companies insist that smokers choose to smoke, according to their right to self-determination. Moreover, they insist that with motivation and willpower to quit smoking, smokers can easily stop smoking. Against this backdrop, this paper aims to discuss the addictive disease called tobacco use disorder, with an assessment of the addictiveness of tobacco and the reasons why smoking cessation is challenging, based on neuroscientific research. Nicotine that enters the body via smoking is rapidly transmitted to the central nervous system and causes various effects, including an arousal response. The changes in the nicotine receptors in the brain due to continuous smoking lead to addiction symptoms such as tolerance, craving, and withdrawal. Compared with other addictive substances, including alcohol and opioids, tobacco is more likely to cause dependence in smokers, and smokers are less likely to recover from their dependence. Moreover, the thinning of the cerebral cortex and the decrease in cognitive functions that occur with aging accelerate with smoking. Such changes occur in the structure and functions of the brain in proportion to the amount and period of smoking. In particular, abnormalities in the neural circuits that control cognition and decision-making cause loss of the ability to exert self-control and autonomy. This initiates nicotine dependence and the continuation of addictive behaviors. Therefore, smoking is considered to be a behavior that is repeated due to dependence on an addictive substance, nicotine, instead of one's choice by free will.
Background: The purpose of this study was to analyze the association between social support, psychosocial factors, and health behaviors of old adults in korean society. Methods: The data which was used in this study was extracted from the second wave of the Korean longitudinal study of aging in 2008. A total of 3,978 elderly aged 65 years or older were included in this study. We conducted $X^2$-test, t-test for the elderly health behavior in accordance with their social support and psychosocial factors. Also, multivariate logistic regressive analysis was performed in order to find how degree social support and psychosocial factors are associated with health behavior after adjusting sex, age, smoking (alcohol drinking), and other significant variables. The data was processed by SAS ver. 9.1 and Stata SE ver. 11. Results: Social support in older adults was significantly associated with lower smoking, alcohol drinking, exercise, and eating habit. Also, psychosocial factors were positively associated with smoking, alcohol drinking, regular exercise, and eating habit. Conclusion: health behaviors of old adults are likely to be vulnerable to social support and psychosocial factors. To increase effectiveness of the health policy for the elderly in Korea, it is important to adapt new strategy to include the empowerment of elderly's social networks, policy support to enhance subjective expectation, and life satisfaction.
Objectives : We intended to know the association between Psychosocial Well-being Index(PWI) and health behaviors and also know the useful health guide according to Sasang Constitution Methods : We recruited the 137 subjects from oriental medical clinics around the country and the expert diagnosed Sasang constitution with drug response guide. We used the PWI-SF paper to estimate psychosocial well-being. We used excel program and analyzed with SPSS 14.0K Results : 1. PWI were associated with no passive smoking, everyday regular exercise, eating anything, much eating vegetable and sea-food, no eating snacks. 2. PWI were associated with no passive smoking, 4-5 times regular exercise a week, unconcern in sanitary thought, less or normal amount of meals in Soeumin, no smoking in Taeeumin, and there were not particularly associated ones in Soyangin Conclusions : Health behaviors for PWI are a little different according to Sasang Constitution.
The Journal of Korean Academic Society of Nursing Education
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v.13
no.2
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pp.266-276
/
2007
Purpose: The purpose of this study was to identify variables related to smoking behaviors (never smoked, former smoker, current smoker) among college students on the basis of the PRECEDE model. Method: Data were collected from 327 college students in Chungbuk Province from May to June 2006 using a self-reported questionnaire. Result: The rate of current smokers was 19.0%. The rate of current smokers in male students (41.1%) was significantly higher than that of female students(8.3%). Also, there were significant differences by general characteristics such as major, academic achievements, satisfaction with major and alcohol consumption. Number of smokers among five close friends was 1.72 and it showed significant differences among different gender, majors, levels of satisfaction with majors and alcohol consumption. In discriminant analysis, discriminant variables on smoking behavior were the number of smokers among close friends, the referent persons' responses about smoking and subject's belief about smoking. Conclusion: These research findings suggest that we can enhance the prevention of college students' smoking by strengthening the related factors such as enforcing a non-smoking environment and strengthening college health education strategies of non-smoking including a negative belief of smoking and the hazard of passive smoking.
Purpose: The purpose of this study was to analyze the smoking behaviors and to identify the impact of depression, temperament, and characteristics of smoking experience on rural adolescents. Method: A survey using a self-administered questionnaire was done of 310 rural high school students. Using SPSS 12.0, Pearson correlation coefficients and multiple regression were used to analyze the data. Results: The smoking rate of rural high school students was higher than that of the national rate for this age group. Serious depression was observed in the rural high school students. There was a positive correlation among smoking experience, school records, novelty seeking and a negative correlation between smoking and cooperativeness. The significant predictors of smoking experience were type of school, satisfaction with school, school records, novelty seeking, reward dependence and cooperativeness. These factors accounted for 38.9% of variances in the smoking experience of rural adolescents. Conclusion: These results suggest that adolescents who exhibit factors identified in this study are regarded as having the potential to smoke, and this result proposes the basis for program development for the prevention of smoking and smoking cessation.
Dong Jun Kim;Yu Jin Choi;Kyung Min Park;Ji Hyun Park;Jae-Moon Lee;Kitae Hwang;In Hwan Jung
The Journal of the Institute of Internet, Broadcasting and Communication
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v.23
no.4
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pp.107-113
/
2023
This paper proposes a method for detecting smoking behavior in images using artificial intelligence technology. Since smoking is not a static phenomenon but an action, the object detection technology was combined with the posture estimation technology that can detect the action. A smoker detection learning model was developed to detect smokers in images, and the characteristics of smoking behaviors were applied to posture estimation technology to detect smoking behaviors in images. YOLOv8 was used for object detection, and OpenPose was used for posture estimation. In addition, when smokers and non-smokers are included in the image, a method of separating only people was applied. The proposed method was implemented using Google Colab NVIDEA Tesla T4 GPU in Python, and it was found that the smoking behavior was perfectly detected in the given video as a result of the test.
The Journal of Korean Society for School & Community Health Education
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v.7
/
pp.33-49
/
2006
Background & Objectives: This study was designed to examine relationships between smoking behavior and smoking attitudes among 6th-grade students in Korea in order to provide knowledge on school-based programs for preventing adolescent smoking behaviors. Methods: Questionnaires were administered to 464 students attending three public elementary schools in O city from June 13 to June 16, 2006. The total sample size is 458 (response rate = 98.7%). Data were statistically analyzed by frequency analysis, cross tabulation, and multiple regression. Results: First, smoking behavior was significantly influenced by the factors of gender, self-concept, family structure, sibling smoking, school achievement, relationship with teachers, satisfaction with school life, and smoking friends. Theprevalence of ever-smoking was 12.7% among 6th grade students in this study. Students were most likely to initiate smoking in the 5thgrade with curiosity and smoke at their own home. Second, students showed negative attitude toward smoking overall. From the detailed section, students respondednegatively about smoking in public places while they thought that adult smoking with moderate level was okay. Student who showed positive attitudes toward smoking in the present study were significantly related to the factors of self-concept, family environment, parental and sibling smoking status, school achievement, satisfaction with school life, and smoking friends. Third, Students who had tried cigarette smoking were likely to report less negative attitudes toward tobacco than non-smoking students. Fourth, this study found that smoking friends were the most significant predictor of positives smoking attitudes. Other factors significantlyassociated with smoking attitudes were gender, relationship with friends, self-concept, relationship with teachers, paternal smoking status. Conclusions: The study results suggest that smoking prevention programs focus on resisting peer influence and need to be community-incorporated and/or comprehensive from elementary to high school.
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