Purpose: This study aimed to understand the current situation of Korean adolescents' sexual experience and its characteristics by school level, gender, and related factors to their sexual experience. This could be the basic evidence for the development of various sex education programs for the youth. Methods: This study used the 11th online survey data on youth health behavior (2015) and all 68,043 students who participated in the study were included for the analysis. The binominal logistic regression model was used to identify the characteristics and relevant factors of sexual intercourse experience. Analysis was performed by complex sample design using SPSS/WIN 18.0. The statistical significance was defined as p<.05 with a two-sided test. Results: The factors related to sexual experience of adolescents included grade, sadness and hopelessness, smoking, Internet addiction, and sex education in school, for middle school boys. For middle school girls, grade, residence area, sadness and hopelessness, smoking, drinking, and sex education in school were related. For high school boys, the factors were grade, living with parents, economic situation, sadness and hopelessness, smoking, drinking, and Internet addiction. For high school girls, grade, sadness and hopelessness, smoking, and drinking were found to be related factors. Conclusion: The results of this study suggest that a practical program considering adolescents' level and characteristics should be developed and applied.
Purpose: Dyslipidemia is one of the most important cardiovascular risk factors. The purpose of this study was to compare serum lipid levels in college students and pre-graduates. Methods: Data were obtained from student health examination in one university located in Kyunggi-province. Participants were 440 college students and 1973 pre-graduates. The data were collected in May of 2010. T-test, Chi-square test, Fisher's exact test, and multiple regression with dummy variables using SAS version 9.1 were performed. Results: Pre-graduates showed significantly higher level of total cholesterol, triglyceride, and LDL than college students. There was no significant difference in alcohol drinking between college students and pre-graduates. However, smoking and diet behavior were significantly different; pre-graduates were more likely being current smoker and recommended to change diet behavior. When adjusting covariates including general and behavioral characteristic, pre-graduates had significantly higher total cholesterol (p<.001), triglyceride (p=.003), and LDL (p=.003). Among covariates, smoking was significantly related to triglyceride, particularly past smokers. Conclusion: There is a need to develop a lipid-reducing program targeting pre-graduates. This program should be considered behavioral factors, particularly smoking. In addition, given the fact that pre-graduates had unhealthy habits compared with college students, interventions for correcting health behaviors in this population are required.
Aiming to investigate nutrient intake and food habits influenced by smoking for female college students in Seoul, the questionnaire survey for 763 students was carried out. The results of the survey was summarized as follows: 1. 9.7% of students were found as the current smokers and 18.9% of students had experienced of smoking, however stopped smoking at present(experienced smokers) respectively. 2. In the current smokers, they started smoking with friends at the first (58.9%), alone (27.4%), and with seniors (11.0%) respectively. The psychological frustration (52.2%), curiosity (28.4%) respectively motivated smoking behavior at the beginning. The most had smoking usually at the entertaining place such as restaurant. Only 6.4% of current smokers consumed more than 10 cigarettes daily, and 55% of current smokers inhaled deeply into the lung while they smoked. Even 26% of current smokers explained their intention of not smoking after marriage, and also about 95% of current smokers explained to stop smoking in the case of pregnancy. 3. It was found as the fact that the school age, economic status, and parental smoking affected their prevalence of cigarette smoking. The higher their schoolage, the higher smoking showed; the more their money spent and the lower father smoking showed ; the more their money spent and the lower father's educational level, the higher smoking showed; the more drink, the higher smoking showed. 4. The value evaluation of cigarette smoking also affected the prevalence of cigarette smoking. Of the students recognized advantageous parts of smoking, the prevalence of cigarette smoking was higher. 5. Logistic regression analysis was to determine the most effective factor which determined prevalence of cigarette smoking. The most effective factor was value evaluation of cigarette smoking. The order of effective factors was health value of cigarette smoking, their drinking capacity and the value evaluation of change in body weight due to smoking and smoking's advantages. 6. Cigarette smoking showed signs of affecting to food habits. In the case of smoking, the missing rate of taking regular meals was higher, and the frequency rate of taking regular meals was lower. Also, smokers took meals less regularly. Even the smokers took less candy than non-smokers, however, smokers liked to take more coffee, alcohol, and hot tasting food than non-smokers. 7. Smoking seemed to affect the nutritional status. It was found that smokers took many kinds of nutrients insufficiently, therefore their calory intake by age was not reached to RDA.
Purpose: The purpose of this study was to identify the effect of a community-based health promotion program for elders. Method: The research design was a nonequivalent control group experimental design. The participants were 415 elders who were above 65 years of age (mean age: 80.7, experimental group: 126, control group: 289). For 4 months, the health promotion project which consisted of health education and activity related to smoking, drinking, nutrition and exercise was given to the experimental group. Data were analyzed using descriptive statistics, ${\chi}^2$-test, and t-test with the SAS V8e program. Result: After the intervention, the experimental group showed a higher level of health promotion behavior compared to the control group in health education experience, exercise, smoking, and drinking. There were no differences between the experimental and control groups for nutrition, or high risk drinking and smoking. Conclusion: The results of this study show that the health promoting program for elders provides useful information in developing effective community-based programs and can be recommended as effective interventions to improve the health promoting behavior of elders.
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.
Ha, Jung-Mi;Lee, Hae-Jung;Kim, Dong-Hee;Kim, Yong-Suk;Lee, Wha-Za
Journal of Korean Academy of Fundamentals of Nursing
/
v.16
no.2
/
pp.144-152
/
2009
Purpose: The purpose of this study was to predict the risk factors for vascular complications among patients with type 2 diabetes. Method: The data were collected from August to September, 2007 using clinical examination and questionnaires. Patients (N=101) were recruited from the endocrinology department of P University hospital in D city. Descriptive statistics, Pearson correlation coefficients and multiple linear regression were used to analyze the data. Results: The cardiovascular risk of patients with diabetes was significantly related to self care behavior, family history, and smoking status. The risk of peripheral vascular complications was not related to predictors included in the study. With multivariate analyses, significant predictors of cardiovascular risk for these patients were self care behavior, family history, and smoking status ($R^2=.40$, p<.0001). Conclusion: The findings of this study indicate that smoking cessation and improving self-care behavior are essential to reduce the risk of cardiovascular complications among patients with diabetes. To enhance self-care practices for the patients with diabetes, nursing interventions, such as telephone counseling, problem focused nursing counseling, and peer group activities should be considered.
Objectives : This study was to investigate the level of health risk behavior, athletes stress, quality of life(WHOQOL-BREF) and oral health related quality of life(OHIP-14) and the clinical factors influencing quality of life in athletes Methods : Data were obtained from a cross-sectional survey of 202 university athletes. Data was obtained by means of questionnaire from October 11 to October 15, 2010. Health risk behaviors(Q-F index and smoking), athletes stress, WHOQOL-BREF and OHIP-14 were measured. The data was analysed with t-test, one-way ANOVA, Pearson correlation coefficient and multiple regression using the SPSS program. Results : The prevalence of alcohol drinking, smoking were 84.2% and 37.9%, respectively. Alcohol drinking and cigarette consumption were not related to quality of life though there were the negative correlation between athletes stress and quality of life. Powerful predictors of quality of life were athletes stress, OHIP-14 and perceived health for athletes. Conclusions : Based on the findings, quality of life has a significantly impact on athletes stress, OHIP-14 and perceived health. These results suggest that the implementation of health promotion program should be considered which was decreased athletes stress and was increased level of oral health and perceived health in athletes.
Seo, Dong-Bae;Kam, Sin;Han, Chang-Hyun;Park, Ki-Soo
Korean Journal of Health Education and Promotion
/
v.25
no.3
/
pp.111-124
/
2008
Objectives: The purpose of this study was to suggest effective methods for not only preventing college students from being exposed to smoking but also helping them stop smoking, by examining and analysing a variety of factors related to their smoking behavior. Methods: To accomplish the purpose, this study was carried out using 1,553 valid questionnaires selected from 1,584 questionnaires completed and returned by 1,800 randomly chosen students of 2 colleges and 3 universities in Gyeongsangbuk-do Province and Daegu City during the period of April 3 through April 21, 2006. Results: It was turned out that while the total smoking rate of whole students was 52.4% in male students and 9.1% in female students, the smoking rate after their admission to the college was 27.1% in males and 1.5% in females. It was also shown that both the perceived susceptibility and barrier factors of Health Belief Model were statistically significant, and that the perceived seriousness factors were entirely significant in all other variables except the body seriousness. The perceived benefit factors were significant in only the variable that there would not be any improvement in academic performance even after stopping smoking. A relation between smoking and stop smoking program or smoking prevention program showed that the non-smoking rate was significantly high among the college students who participated in such programs while in middle school. When variables having a significant effect on smoking students after their admission were analysed, it was shown that the smoking rate was higher among males than females students, and that the more the number of smoking friends is and the more the number of students thinking that stop smoking would make it difficult to release stress and make friends is, the higher the smoking rate is among students. It is required, therefore, to encourage students to continuously participate in more smoking prevention programs from middle school, and to put an emphasis on a variety of smoking-related illnesses and advantages from non-smoking. Conclusions: Since the current smoking rate among college students is relatively high but most of the smoking students surveyed are ready to actually try to stop smoking, it will be possible to significantly reduce the smoking rate among college students if proper methods are suggested to eliminate barrier factors they face while participating in the stop smoking programs.
Purpose. The purpose of this study was to test the effectiveness of a comprehensive smoking cessation program for Korean adolescents. Method. The study design was quasi-experimental with one pre and three post-tests. The three posttests were done immediately after, three months later, and six months after the completion of the program. A total of 43 high school students who smoked participated in the study with 22 in the experimental group and 21 in the control group. The smoking cessation program consisted of 9 sessions with content on enhancement of self-efficacy, stress management, correction of distorted thoughts, consciousness raising, and assertiveness training. The study variables were urine cotinine levels, self-efficacy, stress, and stages of changed behavior. Results. Urine cotinine levels significantly decreased in the experimental group after the program (F=3.02, p=.06) but significantly increased in the control group (F=6.32, p=.004). Self-efficacy and the degree of stress did not change in either group. The stages of smoking cessation behavior tended to change when compared with raw data for the experimental group. For most participants, the stages of change had been precontemplation and contemplation, but changed to action and maintenance stage among the experimental group. Conclusion. The program was effective in smoking cessation and influencing stages of change but did not change psychosocial factors such as self-efficacy and stress. It is suggested a program should be developed to change psychosocial variables on a long-term basis. It is also desirable to involve peers and families of adolescents who smoke when planning programs to enhance social support.
There is growing evidence that substance use such as tobacco or alcohol consumption influences health disparity among adolescents. Previous research papers have shown an inconsistency in the relationship between socio-economic status (SES) and substance use in adolescents. However, little is known about socio-economic differences in unhealthy behaviors among Korean adolescents. The purpose of the present study is to explore associations between SES and substance use in Korean adolescents. The analysis was performed using data from the 2009 Korean Youth Risk Behavior Web-based Survey (YRBS), which included a nationally representative sample of middle and high school students. Drinking/heavy drinking and smoking/daily smoking behavior indices were used for dependent variables, and perceived economic status, family affluence score, parents' education were used for independent variables. Chi-square test were used to compare tobacco and alcohol consumption among 3 SES groups. Logistic regression models were used to identify statistically significant socio-economic factors after adjusting other covariates. Higher perceived economic status and higher family affluence were associated with higher rates of smoking, daily smoking, drinking, and heavy drinking, while lower level of parents' education was related to higher use of tobacco and alcohol. Socio-economic status significantly influences health behaviors in adolescents, and it may consequently affect health disparity in their adulthood. Therefore, there is a need of continuous monitoring and follow-up research of health disparity among adolescents.
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