• Research in Community and Public Health Nursing
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• v.18 no.4
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• pp.562-571
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• 2007

Purpose: The purpose of this study was to develop a health education program on the health promoting behavior and self-efficacy in university students and evaluate its effects. Method: A nonequivalent control group pretest-posttest design was used. The subjects were 148 students [experimental(N=80) and control(N=68) groups] from a university in J City. The experimental group members participated in thirteen sessions of a health education program for fifteen weeks and the degree of their health promoting behavior and self efficacy was evaluated. The instruments for this study were the health promoting lifestyle profile developed by Walker et al.(1987) and self-efficacy scale developed by Sherer & Maddux(1982). Data were analyzed by descriptive statistics, Chi-square tests, t-tests, and paired t-test using SPSS 10.0. Result: The experimental group had a significantly higher health promoting behavior score(F=10.389, p=.002) than the control group, while no significant difference was found in the self-efficacy score(F=.481. p=.489). Conclusion: The results suggest that the health education program can be utilized as an effective program to promote health promoting behavior in university students.

• Journal of the Korean Society of School Health
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• v.28 no.3
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• pp.220-228
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• 2015

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.

• Research in Community and Public Health Nursing
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• v.9 no.1
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• pp.72-88
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• 1998

This study was designed to identify the relationship between health perception arid health promoting behavior in the elderly. The subjects for this study were 92 persons over 65, who could be easily met in households, pavilions for the aged, and parks. The data were collected during the period from March 24th to April 12th, 1997 by interviews with a structured questionnaire. The instruments used for this study are as follows: The Health Perception Questionnaire developed by Ware (1979) and translated by Yu Ji-Su(1985). The Health Promotion Lifestyle Profile(HPLP) developed by Walker, Sechrist & Pender (1987) and partially amended by the author of this study. The Health Promotion Lifestyle Profile(HPLP) was parameterized by nutrition, exercise, stress management, self actualization, health responsibility, and interpersonal support. The data was analyzed by frequency, percentage, mean, standard deviation, t - test, ANOVA, and Pearson's correlation using an SPSS program. The results of this study were as follows: 1. Hypothesis 1 : 'The higher the level of health perception in the elderly, the higher the practice of health promoting behavior in the elderly' was supported(r=0.449, p<0.001). 2. The health perception mean score on a four point scale was 2.564. 3. For health promoting behavior, the mean score on a four point scale was 2.560. The factor of the highest mean score was interpersonal support(2.850) and factor of the lowest mean score was exercise(1.964). 4. Among the general characteristic variables, sex(t=4.12, p<0.001), religion(t=2.47, p<0.05), education(F=3.27, p<0.05), marital status (t=2.22, p<0.05), living situation(F=3.50, p<0.05), and hobby(t= -2.57, p<0.05) showed strong connections to health perception. 5. Among the general characteristic variables, religion(t = 1.83, p<0.05), and marital status(t= 2.12, p<0.05) showed strong connections to health promoting behavior. In conclusion, this study revealed that health perception is an important factor related to health promoting behavior in the elderly. The general characteristic variables showed strong connections to health perception and health promoting behavior. Therefore, nurses should consider health perception and general characteristic variables when they plan nursing intervention for the elderly. Also, educational programs encouraging constructive health perception should be developed.

• Journal of the Korean Society of Physical Medicine
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• v.11 no.2
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• pp.17-24
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• 2016

PURPOSE: This study aimed to evaluate the effects of health-promoting behaviors on the subjective well-being of a physical therapist. METHODS: Survey data were collected from 247 physical therapists in Daejeon city. The baseline for health-promoting behaviors was determined using Health Promoting Lifestyle Profile (HPLP), subjective well-being was determined using Positive Affect and Negative Affect Schedule (PANAS), quality of life was measured using the SF-36 (Short-Form 36), and pain level was determined using the Quadruple Visual Analogue Scale (QVAS). Health-promoting behaviors and related factors were analyzed using an average comparative analysis (t-test), and the factors relevant to subjective well-being and health-promoting behaviors were evaluated using correlation analysis (Pearson's correlation coefficient). Factors affecting health-promoting behaviors were evaluated using stepwise multiple regression analysis (stepwise multiple regression). RESULTS: The mean score for health-promoting behavior was 3.73, with emotional support having the highest score (3.90) and regular meals having the lowest score (3.16 points; p<0.01). Health-promoting behavior was significantly correlated with positive emotions and negative emotions are subjective well-being, negative emotions and pain were noted (p<0.01). Health-promoting behaviors showed a significant correlation with quality of life (r=0.04), positive emotions (r=0.21; p<0.01), negative emotions (r=0.16; p<0.05), and pain level (r=0.016). The results of this study showed that health-promoting behaviors are significant predictors of subjective well-being in physical therapists (p<0.01). CONCLUSION: Physical therapists have to maintain their health by avoiding infections. Regular exercise is the most important factor among all health-promoting behaviors.

• Journal of agricultural medicine and community health
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• v.27 no.2
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• pp.137-148
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• 2002

Objectives: This study was to investigate the needs for developing the health promotion program for elderly and to compare the health promoting lifestyles behaviors and perceived health status of elderly in urban and rural area. Methods: The data was collected from 82 elders in urban(D city) and 77 elders in rural area(C county) by face to face interview. The Health Promoting Lifestyle ProfileII(HPLPII) and Perceived Health Status were used. Results: 1) The total score of HPLP was 2.44. In the subscales, the highest degree of performance was 'nutrition', following 'interpersonal relationship', 'stress management', 'health responsibility' and 'spiritual growth' and the lowest degree of performance was 'physical activity'. 2) Elderly people living in urban area had significantly higher the total HPLP score than elderly people living in rural area The urban elderly had significantly higher the score of HPLP subscales such as 'physical activity', 'interpersonal relationship' and stress management than rural elderly. 3) The mean score of perceived health status was 8.79. There was no significant difference in the perceived health status between urban and rural elderly. Conclusions: The above findings indicate that it is necessary to develop a health promotion program with reinforced physical activity, health responsibility and spiritual growth for elderly people in Korea. Especially the physical activity need to he strengthened for rural elderly.

• Journal of Korean Academy of Nursing
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• v.36 no.7
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• pp.1265-1273
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• 2006

Purpose: This study was to evaluate a virtual class, 'lifelong health care for women', for female university students. Method: The research design was one group pre-post design. A pretest and posttest were conducted to measure CMI, perceived health status, health promoting lifestyle, and knowledge related to women's health. The subjects of this study were 74 female students in 3 universities, and they were provided with the virtual class by K university consortium for 16 weeks. Data was analyzed by descriptive and paired t-test. Results: There were statistically significant differences in CMI (t=3.367, p=.001), perceived health status (t=-2.788, p=.007), and knowledge related to women's health (t=-10,432, p=.000) between the pretest and posttest. However, there was not a statistically significant difference in a health promoting lifestyle (t=-1.431, p=.157) between the pretest and posttest. Conclusion: These results suggest that a virtual class on lifelong health care for women is aneffective method in decreasing health problems, and improving perceived health status and knowledge related to women's health by female university students.

• Women's Health Nursing
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• v.7 no.3
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• pp.293-304
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• 2001

The purpose of this study was to investigate the factors influencing health promoting lifestyles in college women thus providing the basic data necessary to establish a health promoting program. The subjects of this study were 274 college women, living in Seoul, Chung-Buk, and Kangwon, during the period from May 10 to July 15, 2000. The instruments for this study were the health promoting lifestyles scale developed by Bak, Insuk(1995), the self efficacy scale by Sherer et al. (1982), the social support scale by Su, Moonja(1988), the self-esteem scale by Rosenberg(1965) and the perceived health status scale by Lawton et al.(1982). The results of this study are as follows; 1. The average score for health promoting lifestyles was 2.45 on a 4 point scale. The health promoting lifestyles categories 'harmony relationships' (3.04) and 'sanitary life'(3.02) revealed higher scores, whereas scores for 'healthy diet' (2.32), 'exercise & activity' (2.14) and 'professional health management' (1.48) were lower. 2. The mean score for self-efficacy, social support, self esteem and perceived health status was 3.38 (on a 5 point scale), 2.88 (on a 4 point scale), 2.98(on a 4 point scale) and 3.08(on a 5 point scale) respectively. 3. Health promoting lifestyles showed significant positive correlation with self efficacy, social support, self esteem and perceived health status. 4. Stepwise multiple regression analysis revealed that the most powerful predictor of health promoting lifestyle was self efficacy. Self efficacy, social support, and perceived health status have significant effects on health promoting lifestyles. These predictive variables of health promoting lifestyles explained 25% of variance. Finally, the result of this study will provide important factors for the development of a nursing intervention program for the promotion of healthy lifestyles in college women.

• The Journal of Korean Academic Society of Nursing Education
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• v.5 no.2
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• pp.347-358
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• 1999

The purpose of this study was to explain the relationship between health promoting behavior and self-esteem, and the relationship between health promoting behavior and self-efficacy. The instrument of this study was a structured questionnaire included health promoting lifestyle, self-esteem and self-efficacy. The data were collected from August 24 to September 3, 1999 and analyzed by Cronbach alpha, descriptive statistics, t-test, ANOVA, Scheffe's test, Pearson's correlation coefficient and stepwise multiple regression by using SPSS/PC+ program. The results of research were as follows : 1. The average score of performance in the health promoting behavior variables was 2.61. The variable with the highest degree of performance was the sanitary life(3.14), whereas the one with the lowest degree was the professional health maintenance(1.50). The average score of self-esteem was 2.89, and self-efficacy was 6.60. 2. There was significant difference according to the demographic variables. The total health promoting behavior was predicted by age, religion, monthly income. personality, perceived health status and frequency of exercise. Self-esteem was predicted by religion, monthly income and personality. Self-efficacy was predicted by age, religion and personality. 3. There was a significant correlation between health promoting behavior and self-esteem, self-efficacy. 4. Self-efficacy was the highest factor (variable) predicting health promoting behavior. A total of 44.7% of the variance was explained in the total health promoting behavior by the self-efficacy, frequency of exercise, self-esteem, perceived health status and personality. In conclusion, this study revealed that self-efficacy, self-esteem may be important factors that can improve health promoting behavior. Therefore the findings of this study may provide significant basic data for health promoting program development.

• Korean Journal of Health Education and Promotion
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• v.32 no.4
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• pp.25-35
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• 2015

Objectives: Health behaviors among young people group are strongly linked to healthy habit or life style in adulthood. This study performed to explore the essential components and effective strategies to develop the standardized program on healthy campus that could contribute to health status and sustainable health promotion among students, faculty, and staff in university health. Methods: To set up the priority and weighting of essential components and strategies on health promoting university, thirty one professionals who had majored in health promotion were selected for Delphi in Oct. 2011. Results: Barriers to success of the health promoting university were lack of interest and policies, incomplete process of health planning, absence of health-related personnel, and inadequate action plan. Essential components of healthy campus were raising fund, healthy policy, participation, human resource, and health promotion programs. Effective strategies were expanding of health promotion programs to improve lifestyle, improvement of campus environment, planning of healthy campus, development of infrastructure, and building up a healthy and safety campus. Conclusions: Health promoting university services support to achieve academic goal of student and helps to reduce absenteeism of university faculty and staff through the on-campus services that are accessible, student-focused, cost-effective, and high quality.

• Journal of dental hygiene science
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• v.5 no.1
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• pp.39-43
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• 2005

This study was carried out to provide fundamental data for an examination of a health promotion program by determining the influence of the Health Promoting Lifestyle Profile on the quality of life of female dental hygienists. The sample was selected from the population of 1,148 who were registered in the Association of Seoul Dental Hygienists. 800 subjects were randomly selected from 25 districts in Seoul. The data was collected by calling the dental hygienists to, explaining the contents and objective of our study, and sending them a questionnaire by post. The questionnaire consists of the total number of 97 questions: 62 questions on the Health Promoting Lifestyle Profile, 26 questions on the quality of life and 9 general characteristics questions. The data was collected from August 16 to October 15, 2004. Out of 800 subjects, 481(60.1%) completed the questionnaires. For statistical analysis, the frequency, percentage, arithmetic mean, ANOVA, and multiple regression analysis, were analyzed using the SAS 8.1 Analysis program. The significance level was set to 0.05. The results of this study were as follows: First, The average score of the subjects' quality of life was 3.1. For the sub-categories, it was shown that the degree of satisfaction on the condition of society was the highest at 3.2, and the degree of satisfaction on the condition of the individuals was the lowest at 3.1. The average score of the Health Promoting Lifestyle Profile variable was 2.5. For the sub-categories, it was shown that the degree of sanitary life was at 3.2, and degree of the professional health maintenance was the lowest at 1.7. Second, There were significant differences in the Quality of Life benefits of action with the general characteristics. There were significant differences in age, educational level, income, marital status, career, and Perceived Health Status. There were significant difference in Health Promoting Lifestyle Profile benefits of action with the general characteristics. There were significant differences in terms of age, educational level, income, marital status, career, and the Perceived Health Status. Finally, The stepwise multiple regression analysis revealed that the powerful predictors were Health Promoting Lifestyle Profile, income and the Perceived Health Status. These factors accounted for 37.6% of the variance in the Quality of Life patterns. As the subjects were limited to dental hygienists in Seoul, care should be taken when applying these results to all dental hygienists in Korea. In order to generalize the study, a large number of subjects selected from all regions in Korea will be needed.