Purpose: This study was performed to identify the relationship between stress perceived by middle school students and social support level and to investigate the factors affecting middle school students' smoking behavior. Method: The data was collected from four hundred and thirteen students of one boys' middle school and one girls' middle school. Data were analyzed by using SPSS 11.5 Win Program. Result: Smoking rate was higher in girls than boys. The factors affecting smoking behavior were drinking (OR=67.62, P<0.01), having one parent or no parents(OR=9.98, P<0.05), and higher material support(OR=4.67, P<0.05). Conclusion: This results showed that smoking prevention program is needed for girls' middle school students. To prevent smoking, teachers should help students to cope with stress from schools and their environments with careful guidance, and organized support for the student with one parent or no parents should also be established. Furthermore, guidance in student's relationships with peers is needed regarding appropriate allowance, drinking, or substance use.
본 연구의 목적은 대학생의 정신건강과 건강위험행위와의 관련성을 파악하고 인지된 스트레스와 건강위험행위와의 관계에서 우울감이 매개효과를 갖는지를 확인하는 것이다. 연구대상은 2015년 지역사회 건강조사자료에서 도출한 전국의 만 19세에서 29세 사이의 대학생 8422명이다. 자료분석을 위해 복합표본설계에 따라 라오 스콧 교차검정, 로지스틱 회귀분석, Sobel test 등이 사용되었다. 연구결과 대학생의 인지된 스트레스, 우울감, 현재흡연, 폭음 및 고위험 음주는 성, 연령, 월가구소득 등에 따라 차이를 보였다. 인지된 스트레스는 현재흡연, 폭음, 고위험음주의 영향요인이었으며 우울감은 현재흡연과 폭음의 영향요인이었다. 우울감은 인지된 스트레스와 현재흡연, 인지된 스트레스와 폭음과의 관계에서 부분매개효과를 나타냈다. 본 연구결과는 대학생의 인지된 스트레스, 우울감 등의 정신건강문제를 포함하는 포괄적 건강행위 중재전략이 필요하다는 것을 제시한다.
Purpose: This study aimed to develop a scale to measure variables related to alcohol drinking prevention behavior in early elementary school, based on the theory of planned behavior. Methods: A scale was developed to measure variables related to alcohol drinking prevention behavior. Initial items for direct evaluation were constructed through a literature review, and those for belief-based indirect measure were generated through interviews with 30 second- and third-grade elementary school students. The collected data from 286 third-grade elementary school students were then subjected to item analysis, exploratory and confirmative factor analysis, criterion-related validity testing, and internal consistency assessment. Results: The final scale consisted of 35 items. Intention, attitudes, subjective norms, and perceived behavioral control explained 82.7% of the variance; behavioral beliefs, normative beliefs, and control beliefs explained 65.6% of the variance; and evaluation of outcome, motivation to comply, and power of control beliefs explained 72.8% of the variance. The confirmatory factor analysis indicated that the theoretical models had a satisfactory goodness of fit. Criterion-related validity was confirmed between the direct evaluation variables and the indirect measure variables (attitudes r=.64, p<.001; subjective norms r=.39, p<.001; perceived behavioral control r=.62, p<.001). Cronbach's α was .89 for the direct evaluation variables and .93 for the indirect measure variables. Conclusion: The scale developed in this study is valid and reliable. It could be used to measure and explain variables related to alcohol drinking prevention behavior in early elementary school.
Objectives: This study aims to identify factors related to exercise of some female college based on Theory of planned behavior. Methods: This study surveyed 500 female students attending a university to answer to self-reported questions using a questionnaire from May 3 to May 22 2010 and used 462 copies of the responses except insincere ones for the final analysis. Results: Of the 462 subjects, 30.7%(142) did regular exercise more than 3 times a week. As a result of the univariate analysis, there were relations between drinking, need of Exercise, attention to health, health habits, perceived behavior control and intention of exercise, and regular exercise. As a result of the multiple Logistic regression, there was a statistically significant relation between regular exercise and perceived behavior control and intention and drinking. Conclusion: This study identified that there were relations between drinking, perceived behavior control and intention of female college students and their regular exercise. Therefore, to promote their regular exercise, it is suggested that educational programs which consider such factors should be developed.
The purpose of this study was to investigate the effect of smoking on dietary behavior and nutrient intake among the male college students. The subjects were divided into three groups; non smoker(n=84), moderate smoker(n=68), and heavy smoker(n=89) according to duration and degree of smoking. And they were asked for general characteristics, life style, eating pattern, food frequency, and nutrient intake using questionnaire and 24-hr recall method. The mean age, height, weight, and BMI of the subjects were 26.2$\pm$6.2 years, 173.3$\pm$5.3㎝, 66.5$\pm$9.3㎏, and 22.1$\pm$2.7㎏/$m^2$, respectively. The type of residence and frequency of alcohol drinking were significantly different among three groups; the frequency of self-boarding and alcohol drinking in moderate smoker and heavy smoker was higher than those in non smoker. Comparing with non smoker, the frequency of skipping meals, especially breakfast and supper, was significantly high in moderate smoker and heavy smoker. The most common reason why heavy smoker skipped meals was ‘eating habit’, while it was ‘lack of time’ in non smoker. The results showed that the heavy smoker tended to drink coffee more often compared to the other two groups. There were no significant differences in nutrient intakes among three groups. In conclusion, heavy smoking students have unhealthy dietary behaviors in terms of high frequency of alcohol drinking, habit of skipping meals and frequent coffee drinking showing a strong need of proper education on smoking withdrawal and meal practice for them.
Objectives: This study was performed to examine the effective health education measures and health education programs for college students and also investigated the demands of restriction on drinking and smoking behavior in public area at the school level. Methods: The data were collected from 446 students of five universities located in Seoul and analyzed with SPSS WIN 10.0 program. Results: 1) Current drinkers were average 87.7% (male 90.1%, female 85.3%) and binge drinker was 68.4% (male 76.5%, female 60.2%). Among all drinkers, 19.4% drank more than eight times per month. As for the rate of smoking, 50.9% among the male student, and 12.1% among females were smokers. Among all smokers. the largest group (41.5%) smoked between >$11{\sim}20$ cigarettes per day. Many of the students started smoking in their middle schools (male 29.8%, female 51.5%). It implies that smoking prevention programs need to be emphasized in these schools. 2) The analysis of the correlation between drinking and smoking shows that no smoking students who drank were 66.2%, but abstainer who is smoker were only 5.7%(p=0.004). Alcohol consumption frequency and amount of smokers were higher than those of nonsmokers (p=0.000). The rate of attempts to reduce drinking was 38.1%, mainly for health reason. More than 34.5% of smoking student had made attempts to quit smoking, but succeeded only 16.9%. 3) As for the needs of moderate drinking and smoking cessation education, 67.8% among female students and 53.6% among male demand special education programs. About effective health education measures on drinking and smoking, 49.3% of drinkers and 35.2% of smokers had an inclination for health educator, and the next were video, campaign and pamphlet. 4) The largest group (45.0%) of respondents had agreed to regulate on drinking behavior, and especially 74.5% of them wants to ban the practice in most public area in school. 35.7% among female students and 27.0% among male desired to extend the non-smoking area on whole campus. The health policy for college students, through various ways, such as education, counseling service, and special program on orientation, should be employed. For public health perspectives, university and college community had to institute the detailed enforcement regulation on drinking and smoking.
Purpose : The purpose of this study was to investigate the effects of stresses to female university students and their habits of dealing with stresses through drinking alcohol and smoking. Methods : Subjects, 313 students, were selected through convenience sampling method from the 2 four-year universities in Chonbuk and Chonnam province from May to June, 2005. Data were collected through the structured questionnaires that include general characteristics, Quantity Frequency methods, the number of cigarette per day, campus stress scale, and stress coping style scale, and they were analyzed by Cronbach' alpha, descriptive statistics, ANOVA and t-test by using SPSS/PC+ program. Results: In this study, 80% of subjects have drunk alcohol. The mean frequency of drinking alcohol per month was 4.68 times and the mean number of alcohol consumption amount per drinking 6.16 glasses. The rate of smoking was 13.7%, and the mean number smoking cigarette per day in the previous month was 12.4. The mean score of stress was 2.20. Among 8 sub-factors of stress, study related stress scored highest among the sub-factors. The mean score of coping styles was 2.50. Among 4 coping styles, hopeful thought was mostly used. Among stresses, the concern of one's future affected her drinking habits. Faculty relationship, academic problem, and value affected smoking habits. Hopeful thought comes out to affect smoking, while drinking, perceived health status, and practice time showed no relationship with coping style. Conclusion: Based on the results, developing a life stress counseling program and effective coping program for women's university students is imperative, especially for those of who show passive attitude toward stress and solve it emotionally instead of using problem-oriented methods. Also, it will be necessary to study further nursing intervention to curb university females' drinking alcohol and smoking.
Objectives: This study is to examine that drinking problems among university students were accounted for not only by student's individual characteristics but alcohol policy and environmental characteristics of the university in which students were enrolled. Method: Secondary data analysis was employed in which variables under study were derived from a raw data of a nationwide representative sample in 2009. Raw data under analysis included 3,665 students from 63 universities across Korea. Organizational and environmental characteristics of the university were collected from university administrators while individual characteristics and drinking behavior from the students in using self-administrated questionnaire. Multilevel regression analyses were employed to describe alcohol policy effects on students's drinking problems measured by AUDIT by using HLM7.0. Results: ICCs indicate that variation in drinking problem depends on alcohol policy of university. Multilevel regression models identified statistically significant factors in explaining variance of drinking problems. Group means on drinking problem are affected by indicators representing alcohol policy with level of drinking problem of student being decreased in accordance to level of availability of alcohol on campus. Conclusions: It is concluded that drinking problems among university students were associated with both individual characteristics and alcohol policy of the university they enrolled. This study supports policy belief that interventions at environmental as well as individual level are required to prevent drinking problem among university students.
Objectives: The aim of this study was to examine the current status of consumption of energy drinks among college students and investigate the effects of general environmental factors, health behavior factors, caffeine knowledge levels, and perceived stress levels on consumption of energy drinks. Methods: A survey was conducted among a total of 479 college students in Gwangju, using self-administered questionnaires. The questionnaire consisted of items about general environmental factors, health behavior, caffeine knowledge, perceived stress, and energy drink consumption behaviors. Results: 69.1% of participants experienced consumption of energy drinks, and specifically 82.8% of male students and 54.1% of female students experienced consumption of energy drinks (p<0.001). The reasons for drinking energy drinks were found to be recovery from fatigue, curiosity, taste, habit, thirst relief, and stress relief. In addition, 40.7% of participants experienced drinking energy drinks mixed with alcohol, and specifically 48.6% of male students and 27.4% of female students reported drinking energy drinks with alcohol (p<0.001). Moreover, 51.5% of participants responded that they experienced the effects of energy drinks, 31.9% reported experiencing adverse effects, and 41.1% were found to perceive the health risks. As a result of the assessment of caffeine knowledge, the participants showed a high level of knowledge of the arousal effect (77.7%) and the concentration increasing effect (70.8%) of caffeine, whereas they exhibited a low level of understanding of the health problems due to caffeine (32.6%) and adequate caffeine intake levels (24.4%). The higher levels of consumption experience of energy drinks was associated with higher body mass indexes (BMI) (p<0.01), higher academic years (p<0.01), lower levels of interest in health (p<0.05), smoking (p<0.001), alcohol consumption (p<0.05), and higher levels of perceived stress (p<0.05). Conclusions: The risk groups related to consumption of energy drinks among college students were identified as male students rather than female students, students in the third or fourth year of study associated with increased stress levels, and students with negative health behaviors. Therefore, support for diverse health and nutrition education for college students is required along with the improvement of internal and external environments of schools in order for college students to manage increased stress levels due to the schoolwork and preparation for employment and maintain positive health behaviors.
Objectives: This study performed to analyze general characteristics, environmental factors, and health promoting lifestyle by smoking behavior among university students. Methods: In 2011, interview survey was conducted with 700 Korean students of university and college in located 7 metropolitan cities and the biggest province (Gyeonggido). To examine the factors related to smoking behavior, it collected environmental factors, health promoting lifestyle, and mental health. Multiple logistic regression analysis for survey data identified the difference of smoking behavior. Results: The 20.4% of university students was current smoker. Smoking rate of male was higher than that of female. The university students residing in Seoul and surrounding areas were less likely to have smoking behavior than them residing in local areas. In multiple regression models, difference by gender, academic year, college level, college type, region, secondary smoking exposure time, health status, monthly drinking, alcohol use disorder, and eating breakfast remained significantly (p<0.01, p<0.05). Conclusion: Future efforts should be focused on association between health risk factors and environment factors in physical, mental, and social aspects. To achieve this, we will need to provide the integrated health promotion program to decrease smoking problems of university students.
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