Purpose: The purpose of this study is to investigate changes in health promoting life style and weight control behavior among nursing students during their two years of college, and to identify the relationship between the changes and their perceived health status. Methods: The subjects were 264 female students in a three-year nursing college in Seoul, Korea. Data was analyzed by paired t-test, Wilcoxon signed-rank test, and multiple logistic regression using SPSS ver.21. Results: Of the six sub-categories regarding health promoting life style, five except spiritual growth showed improvement after two years, but their perceived health status did not change significantly. The number of students who engaged in weight control behavior increased, but there was no change in the number of students who engaged both in weight control and in diet. The group which recorded high scores in perceived mental health status showed 1.2 times greater positive changes in health promoting lifestyle (OR=1.202, p=.023). Conclusion: The results showed although health promoting behavior changed positively throughout the nursing curriculum, physical activities were still low and few students used constructive methods to control their weight. Therefore, it is recommended that nursing colleges build specific programs into their curriculum to correct students' undesirable health promoting behavior.
Background & Objective: The purpose of this study was to identify the level of health behavior and taking courses related with those subjects by college students and analyse the factors that have effect on these issues so that provide a basic material in developing policy and education program that can increase the level of health behavior for them. Methods: A questionnaire was applied 1,500 college students for two months from October 10 to 30, 2007. Results: 1) When viewing the objects of this study as general traits and social economic ratio, 'female' was 59.4%, BMI index of '20-14' was 52.7%, department of natural science was 47/7%, and 'their own house' was 51.0%. 2) When viewing the experience of taking courses related with health by the trait of demography and sociology, 'no' was most high by showing 42.2%, and those of female. under 19 in BMI index, and the department of natural science showed no experience. 3) When viewing satisfaction with college life they showed $3.00{\pm}0.71$, stress level in college life $2.84{\pm}0.41$, the level of health behavior $2.06{\pm}0.65$. 4) When viewing taking courses related with health, stress in college life. and health behavior according to satisfaction with college life they showed $2.06{\pm}0.59$. 5) When viewing the level of health behavior according to demographic and sociological traits, the habit of eating was $2.48{\pm}0.52$ and health care was $2.96{\pm}0.47$. 6) When viewing the effect of factors on health behavior, there were gender, age, residence area, grade, and satisfaction with college life. Conclusion: As we can see from the results above, it is the fact that the students in college are neglecting the subjects related with health owing to short period of education and major based education by the education aim of fostering professional career manpower. Therefore it needs open many culture courses for the subject related with health in college for the students to increase their health level as well as their major, and also there needs combined improvement of college and government system.
Protective behavior of radiological technologists against radiation exposure is important to achieve reduction of the patient doses without compromising medical achievements. This study attempts to provide a basic model for the sophisticated intervention strategy that increases the level of the protective behavior of the technologists. The model was applied to real situations in Korea to demonstrate its utility. The results of this study are summarized as follows: First, the protective environment showed the highest relationship in the factors considered, r=0.637 (p<0.01). Secondly, the important factors were protective environment in environment characteristics, expectation for the protective behavior 0.228 (p<0.001), self-efficacy 0.142 (p<0.001), and attitude for the protective behavior 0.178 (p<0.001) in personal characteristics, and daily patient -0.112 (p<0.001) and number of the participation in the education session for the protective behavior 0.074 (p<0.05). Thirdly, the final protective behavior model by a path analysis method had direct influence on the attitude 0.171 (p<0.01) and environment 0.405 (p<0.01) for the protective behavior, self efficacy 0.122 (p<0.01), expectation for the protective behavior 0.16 (p<0.01), and self-efficacy in the specialty of projects 0.154 (p<0.01). The acceptance of the model determined by the absolute fit index (GFI), 0.969, and by the incremental fit index (CFI), 0.943, showed very significant levels. Value of $x^2$/df that is a factor applied to verify the acceptance of the model was 37, which implies that the result can be accepted in the desirable range. In addition, the parsimonious fit index configured by AGFI (0.890) and TLI (0.852) was also considered as a scale that accepts the model in practical applications. In case of the establishment of some specific intervention strategies based on the protective behavior model against harmful radiation effects proposed in this study, the strategy will provide an effective way to prevent medical harmful radiation effects that could cause severe injuries to people.
The objectives of this study are first to develop the index of school health promoting behaviors, two, to measure those, third, to analysis the relative importance of factors that effect on school health promoting behaviors. School health promotion indexes were composed of 60 components of six areas which modify the element of health promoting schools are developed by world health organization. The survey data were collected by questionnaires from June to September in 1998. The number of subjects was 294 school nurses. The SAS-PC program was used for the statistical analysis. The major results were as follows: 1. The six areas of school health promoting behaviors are: school health politics (20 components), the school physical environment (17 component), the school social environment (7 component), community relationships (6 component), personal health skills (7 component) and health services (3 component). 2. The mean of total school health promotion indexes was highest at elementary school as 3.46. The order of area was health services, the school physical environment, school health politics, the school social environment, personal health skills, community relationships. 3. The regression model used in this analysis presented significant relationships between school health promoting behaviors and independent variables. The important variable affecting the area of school physical environment was education level of school nurses. The important variable affecting the area of the school social environment and personal health services were the location of school, credential education program. Age or career also were significant variables affect the community relationships and health services. In summary, The health promoting behavior of elementary school was higher than other school. It is mean that have to perform active promoting behavior at middle school and high school. Health service level was highest among areas of school health promoting behaviors. It is mean also that school nurse teachers is interested in activity for other areas to improve of school health. Furthermore, it is necessary to develop the specific program for school health promoting behavior.
This study was undertaken to explain weight control behavior and intention of obese children and adolescents as measured by the elements of the health belief model. A total of 732 obese students from 28 schools in Seoul metropolitan area and their mothers were assessed with a self-administered questionnaire. The analyzed results are as follows; 1. Among obese students, 45.3% of male students and 57.2% of female students, a significantly higher portion than male students, reported that they had tried to lose weight within the recent year. Exercise was the most frequently used method to lose weight followed by diet control, drug use, and specialized clinic visits, in descending order. 2. Male students were more likely to try to lose weight if they perceived a low threat level and their mother had a job, and female students were more likely to try to lose weight if they were younger in age, perceived a low threat level and had strong external motivating factors. 3. Female students showed a significantly higher level of intention to obesity control than male students, and the intention level of their mothers also showed the same trend. 4. In male students, the degree of weight dissatisfaction, weight control experience, the level of obesity related beliefs of students, the educational level of the mother and economic status of the family were significant predictors of intention to obesity control, and in females, age, the level of obesity related beliefs of students and intention of their mothers were significant. In the mothers of male students, obesity index of students, age of the mother and the level of obesity related beliefs of the mother were significant predictors of intention of the mother, and in the mothers of female students, obesity index of students, occupational status of the mother and obesity related beliefs of the mother were significant. 5. According to the path model of intention to obesity control, the degree of weight dissatisfaction had the most powerful effect in male students, and perceived net benefit level was the most important variable in female students. Since the weight control behavior and intention of obese students were more predictable by the degree of weight dissatisfaction than the obesity index, we can conclude that only the students dissatisfied with their weight are well motivated for obesity control. There can be a discrepancy between the mother and her child's beliefs and intention status(especially in male students), so the therapists should also assess the student's opinion as well as the mother's. In female students, the perceived net benefit level wag the most important predictor of intention to obesity control, therefore the intervention program should pay particular attention to the positive benefits of weight control rather than negative aspects(threats) of obesity.
Objectives: The purpose of this study were to measure the effect of factors analyse the associated by the oral health behaviors and dental health services utilization factors of dental caries in the middle-school student's and then to provide basic material of preventive oral health and oral health education program. Methods: This subject of study consists of 342 middle schools each 1,2,3 grade Daegu city. The data were collected from July 2 to 30, 2009. by way of the self-reported questionnaire. The data materials are analyzed by demographic characteristics, oral health behaviors and dental health services utilization of frequency analysis, demographic characteristics of dental caries and oral health behaviors and dental health services utilization of one-way ANOVA analysis. Results: Brushing twice a day, which was the higher 69.3%, Students were trained received oral health education. Girls than boys dental caries teeth(DT) index (p<0.05), dental filling teeth(FT) index(p<0.00), dental experience caries teeth(DMFT) index(p<0.00) was higher than all three variables was a statistically significant. Oral health behavior of brushing twice a day 'once' dental caries teeth(DT) index was the highest, there was statistically significant difference (p<0.01), oral health education students experience a higher dental caries teeth(DT) index(p=0.36). dental health services utilization of preventive dental visits last one year when they did not have dental caries teeth(DT) index was higher (p=0.076) Conclusions: Oral health promotion is considered to adolescent as part of the oral health clinics school for elementary school students in the focus to middle school students and enhance.
Purpose: The purpose of this study was to evaluate the effect of periodic video education on knowledge about hemodialysis, patient role behavior and the physiologic index in patients with hemodialysis. Methods: One-group pretest-posttest design was applied. A total of 50 patients with hemodialysis at a university hospital hemodialysis unit in Daegu participated. Periodic video education about kidney function, diet, arteriovenous fistula management, medication, and exercise was administered to them for 12 weeks at intervals of 2 weeks. Before and after the education, the participants completed the self-administered questionnaires of knowledge about hemodialysis and patient role behavior and the measures of serum potassium and phosphorus concentration, weight gain between hemodialysis sessions, and adequacy of dialysis (Kt/V). Statistical analysis was performed using paired t-test. Results: Knowledge about hemodialysis and patient role behavior were significantly different between before and after education (p<.01). For the physiologic index, serum potassium concentration and weight gain between hemodialysis sessions were not significantly different but the serum phosphorus concentration and Kt/V were significantly different between before and after education (p<.05). Conclusion: The results suggest that the periodic video education for patients with hemodialysis contributed to the change and improvement in knowledge about hemodialysis, patient role behavior, and the physiologic index.
Objective: This study was conducted to compare health conditions and problems, health promoting behavior, and risky environment of industrial workers. Methods: The subjects of this study were 1,075 workers in 40 factories, located in Daegu, Korea. Survey data were collected from April 17th, 2006 to April 28th, 2006. CMI (Cornell Medical Index) Health Checklist was used to assess the health problems, Health Rating Scale for health status, HPLP II for health promoting behavior, and environmental risk assessment tool for risky environment. The data were analyzed by One-way ANOVA and Pearson Correlation Coefficient using SPSS 12.0 for windows. Results: The results indicated a significant difference in health problems (F=4.70, p=.000), health conditions (F=2.47, p=.022), health promoting behavior (F=5.67, p=.000), and risky environment (F=14.75, p=.000) among these industrial workers. Conclusion: The results of this study suggest that there is a need to develop customized health care programs for each company to provide differentiated health care to different types of work places. Further studies are required to assess differences in work environment among different types of work places for measures to reduce harmful factors to the environment.
The purpose of this study was to investigate the body mass index and food habits of female university students (nutrition majors) in Seoul. The means of height, weight and BMI were 161.22${\pm}$4.63cm, 52.76${\pm}$6.59kg, and 22.20${\pm}$3.98, respectively. Subjects were divided into 3 groups based on BMI. The ratio of underweight, normal, and overweight students was 25.2%, 56.3%, and 18.5%. respectively. There were significant differences in the recognition rate of body shape and the way to maintain health by BMI. And self satisfaction rate of body shape was significantly higher in underweight subjects compared with others. There was no significant difference in the rate of activity and exercise, food behavior, intake frequency of various foods, intake of convenience food and carbonated drink according to BMI. Weight and body fat of subjects had a significant correlation with BMI. and height, frequency of taking food, frequency of meals, food behavior, intake food, health and exercise consciousness rate showed no correlation with BMI.
Background: The purpose of this study is to identify the factors infecting the medical care utilization from a new perspective by newly classifying the categories of administrative districts using the urban decline index and medical vulnerability index as indicators. Methods: This study targeted 150,940 people who used medical services using the 2015 cohort database (DB), 2010-2015 urban regeneration analysis index DB, and 2014-2015 public health and medical statistics DB. The decline of the region was classified using the urban decline index typed using k-means clustering and the medical vulnerability index typed using the quantile score calculation. Regression analysis was performed 3 times with medical expenditure, length of stay, and the number of outpatient visits as dependent variables. Results: There were 37 stable region (47.4%), 29 health vulnerable region (37.2%), and 12 decline region (15.4%). The health vulnerable region had lower medical expenditure, fewer outpatient visits, and a higher length of stay than the stable region. The decline region was all higher than the stable region but had no significant effect. Conclusion: The factors that cause the health disparity between regions are not only factors related to individual health behavior but also environmental factors of the local community. Therefore, there is a need for a systematic alternative that properly considers the resources within the community and reflects the characteristics of the population.
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