Purpose: This study aimed to investigate sleep, fatigue, and the level of health promoting behaviors in Korean army soldiers. The factors influencing on health promoting behaviors of soldiers were also identified. Methods: A cross-sectional descriptive survey design was used. Data was collected from 269 soldiers in four military units of Korea in July 2015. Verran and Snyder-Halpern Sleep Scale, Fatigue Severity Scale, and Health Promoting Lifestyle Profile-II were used. Results: The health promoting behaviors were significantly different by perceived health status (p<.001) and presence of fatigue (p<.001). There were significant correlations between quality of sleep, fatigue, and health promoting behaviors of the subjects. In a multiple linear regression analysis, the level of health promoting behaviors were lower in the subjects with high level of fatigue (p<.001) and with fair perceived health status (p=.003). Conclusion: In order to increase health promoting behaviors of soldiers, it takes into account of soldiers' fatigue and perceived health status. Environmental arrangement for soldiers for the break time is needed urgently to decrease their fatigue as well as to improve their sleep quality.
Purpose: The purpose of this study was to identify factors influencing health promoting behavior of school-aged children on community child center. Methods: Participant were 207 elementary school student located in Mokpo. For data analysis descriptive statistics, t-test, ANOVA pearson correlation coefficients and stepwise multiple regression were used with SPSS/WIN ver 18.0 program. Results: The mean score for health promoting behavior was below the lower point at $3.39{\pm}0.61$. There were significant differences in health promoting behavior according to gender (t=9.41, p=.002), father's job (F=2.28, p=.048), perceived health status (F=5.70, p=.001), There were significant correlations between health promoting behavior and self-esteem (r=.655, p=.001), self-efficacy (r=.530, p=.001). The explanatory power of these variables accounted for 47.1% of health promoting behavior. The most significant variable was self-esteem (t=7.60, p=.001) and explained 42.8%. Conclusion: The finding indicate that self-esteem of children on community child center are important variables for health promoting behavior. This result suggests that interventions focusing on self-esteem, on enhance health promoting behavior.
Purpose: The purpose of this study was to investigate the factors influencing health promoting lifestyle in high school students. Method: The study subjects were 477 high school students. The data were analyzed by descriptive statistics, t-test, ANOVA, Scheffe test, Pearson correlation and Stepwise Multiple Regression with SPSS statistical program. Results: The average item score for health promoting lifestyle was 2.44. The highest subscale score was self actualization (2.85), while the lowest subscale scores were interpersonal relationship (2.82), nutrition (2.57), exercise (2.56) and health responsibility (1.77). There was a significant difference between gender, sleeping hours, perceived health state, economic state, school performance, father's education, mother's education, living together and health promoting lifestyle. The most powerful predictor of health promoting lifestyle was self-efficacy (29.9%). The combination of self-efficacy, family function, activity-related effect, commitment to a plan of action, situational influences and social support accounted for 55% of the variance in the health promoting lifestyle. Conclusion: Self-efficacy was the most powerful variance of health promoting lifestyle. Therefore, health promoting programs that increase self-efficacy should be developed to promote a healthier lifestyle among high school students.
Purpose: This study examined the relationships among menopausal symptom, self-efficacy, health promoting behaviors, and investigated factors affecting health promoting behaviors of teachers with middle-aged women experiencing menopause. Methods: From September to October 2012, a convenience sample of 252 subjects aged 40 to 60 years was recruited from 8 elementary schools, 3 middle schools and 5 high schools. The data analysis was done by ANOVA and stepwise multiple regression. Results: Menopausal symptom of subjects was slightly lower than general middle aged women and the average level of health promoting behaviors was similar to general middle aged women. Health promoting behaviors were differentiated by severity of menopausal symptom, not by menstruation state. Menopausal symptom was negatively related to health promoting behaviors. The most significant factor affecting health promoting behaviors was self efficacy (14.3%). The combination of self efficacy, menopausal symptom, and elementary school teachers accounted for 20.1% of health promoting behavior. Conclusion: When developing health promotion program for teachers with middle-aged women, such program should consider self-efficacy, menopausal symptom, and school type.
Purpose: This study examined self-efficacy, emotional labor, and health promoting behaviors. It also investigated factors affecting health promoting behaviors of nurses working for tertiary and general hospital. Methods: Between June and July 2013, a convenience sample of 233 subjects was collected from 2 tertiary hospitals and 4 general hospitals. The data analysis was done with ANOVA, t-test and stepwise multiple regression. Results: Emotional labor of the subjects was slightly lower than that of other nurses and the average level of health promoting behaviors was lower than the median. Health promoting behaviors were differentiated by education, hospital type, and monthly income. Self-efficacy showed positive correlation with HPLP-II, but emotional labor showed negative correlation with self-efficacy and HPLP-II. The most significant factor affecting health promoting behaviors was self regulation(16.3%). The combination of self regulation, attentiveness to required display rules, BSN, preference to task difficulty, and monthly income(${\geq}300$) accounted for 25.4% of health promoting behavior. Attentiveness to required display rules was a negative factor of HPLP-II. Conclusion: When developing health promotion programs for nurses, self-efficacy should be considered and further research is needed to identify mediating variables between emotional labor and health promoting behaviors.
Journal of Korean Academy of Fundamentals of Nursing
/
v.12
no.1
/
pp.38-45
/
2005
Purpose: The purpose of this study was to identify health promoting behaviors and the relationship between health promoting behaviors and state and trait anger in middle-aged men. Method: In this descriptive correlational study, the participants were 143 middle-aged men who lived in D city. Data were collected from November, 2004 to January. 2005. Personal interviews with a structured questionnaire were used. The data were analyzed using descriptive statistics, and Pearson correlation coefficients with SPSS Win 11.0 program. Results: The score for health promoting behavior in the middle-aged men was above the mean score. The highest dimension was self-actualization and the lowest dimension of health promoting behaviors was exercise. A significant negative correlation was found between health promoting behaviors and state anger in middle-aged men. But there was no significant correlation between health promoting behaviors and trait anger. Conclusion: These results suggest that state anger should be considered as an important factor when nurses develop educational programs to enhance health promoting behavior in middle-aged men.
Purpose: The purpose of this study was to compare the difference in health-promoting behavior of Han-Chinese to Korean-Chinese university students in Korea. Methods: Subjects were 111 Han-Chinese and 105 Korean- Chinese university students. The data was collected using structured questionnaires from January 5 to May 30, 2009. The data analysis was carried out using the SPSS/WIN 12.0 program. Results: The average score of health- promoting behavior for Chinese students was 2.55, 2.49 for Korean-Chinese students and 2.61 for Han-Chinese students. The mean score of health-promoting behavior of Korean-Chinese students was lower than that of the Han-Chinese group (t=2.048, p=.042). There were significant differences in health- promoting behaviors according to socio-demographic characteristics between Han-Chinese and Korean-Chinese university students. The mean score of health-promoting behavior showed significant differences according to marital status (t=2.019, p=.046) in Han-Chinese students while there were significant differences in health-promoting behaviors according to motivation for studying abroad (t=2.732, p=.033) in Korean-Chinese students. Conclusion: Health-promoting programs should be developed for both Han-Chinese and Korean-Chinese students by considering socio-demographic characteristics. Korean-Chinese may be targeted as a priority group for promoting health behaviors.
Purpose: The purpose of study was to assess the health promoting lifestyle among hospital nurses and to investigate the relationships between the health promoting lifestyle, resourcefulness, and perceived health status. Methods: The subjects were 400 nurses working at three university hospitals. The data were collected by self-administered questionnaires from September 1st to September 30th, 2008. Results: The range of Health Promoting Lifestyle Profile (HPLP) was 71-185, the average score was 112.50, and the item mean was 2.16 (total 4). The range of resourcefulness was 9-50, and the average score was 16.56. The range of perceived health status was 4-13, and the averae score was 9.52. Health promoting lifestyle was showed significantly positive correlations with resourcefulness (r=.473, p<.001), and with perceived health status (r=.176, p<.001). The independent variables including resourcefulness, religion, working shift, sleeping hours, and exercise explained 58.6% of the variance of health promoting lifestyle. Especially, resourcefulness explained 53.2% of the variance of health promoting lifestyle. Conclusion: Resourcefulness was identified as the most important variable contributing to the performance of health promoting lifestyle.
The purpose of this study was to identify the factors influencing health promoting behavior of the elderly for develop health promoting intervention of old people. The subjects of this study were 167 elderly person over the age of 60, living in rural city in Korea. The data were collected by interview and self report questionnaire, during the period from May, 1999 to August. 1999 The instruments for this study were the PRQ-II by Weinert(1988), the scale of Locus of Control by Wallstone et al(1978), the scale of self efficacy by Sherer & Maddux(1982), 10 points visual analogue scale for the perceived health status and the importance of health, the health promoting behavior scale by Walker et al(1987), and the scales developed by authors for the perceived benefits of health promoting behaviors, and the perceived barriers to health promoting behaviors. The Cronbach 's alpha of these scales were .84 ~.97. The data were analyzed using descriptive statistics, Pearson's correlation coefficients, and stepwise multiple regression. The results of this study were as follows: 1. Among cognitive perceptual factors of the Health Promotion Model by Pender(1987), the scores of the importance of health, the perceived internal control of health, the self efficacy, the perceived health status, and the perceived benefits were significantly positive correlation with the scores of the health promoting behavior of the elderly. In addition, the scores of the perceived barriers were significantly negative correlation with the scores of the health promoting behavior of the elderly. 2. Among modifying factors of the Health Promotion Model by Pender(1987), the pocket money of the elderly, the scores of social support were significantly positive correlation with the scores of the health promoting behavior of the elderly. In addition, ages of old people were significantly negative correlations with the scores of the health promoting behavior of the elderly. 3. Stepwise multiple regression analysis revealed that the most powerful predictor of health promoting behavior was the self efficacy. A combination of the self efficacy, the perceived barriers, the social support, the importance of health, and the perceived internal control of health accounted for 56.2% of the variance in health promoting behavior in the elderly. From the results of this study, we concluded that the Health Promotion Model by Pender will be used to explain health promoting behavior of the elderly. We suggested that the results of this study will be considered in developing health promoting programs of elderly.
This study was undertaken in order to examine the relationship of self-efficacy, control, perceived health status. self-esteem, social support, and demographic characteristics to health promoting lifestyle of college students, and to determine factors affecting health promoting lifestyle of college students. The subjects were 92 students of one university in Taejon. The instruments used for this study were a survey of general characteristics, health promoting lifestyle(44 items), self-efficacy (28 items), self-esteem(10 items). control(8 items), perceived heath status(1 item), and social support(12 items). Analysis of data was done by use of mean, percentage, t-test. ANOVA, Pearson correlation coefficient and stepwise regression with SAS program. The results of this study are as follows. 1) The average item score for the health promoting lifestyles was low at 2.30. In the sub-categories, the highest degree of performance was interpersonal support(2.90), and the lowest degree was exercise(1.67). 2) Male students showed a significant higher score in exercise subscale than female students. Students who had more income had higher scores in self actualization subscale. Students who's family had experienced severe disease had higher scores in health responsibility and interpersonal support subscale. Students who had experienced exercise had higher scores in total health promoting lifestyle, exercise, interpersonal support, and stress management subscale. 3) Significant correlation between perceived health status and self-efficacy, perceived health status and self-esteem, control and self-efficacy, control and self-esteem, control and social support, self-esteem and self-efficacy was found. 4) Self-efficacy and control revealed significant correlations with total health promoting lifestyle and all subscales of health promoting lifestyle except self actualization, A significant correlation between perceived health status and self actualization subscale was found. Self-esteem revealed significant correlations only with self actualization and interpersonal support subscale. 5) Significant correlations were found between most of the subscales of total health promoting lifestyle. 6) Self-efficacy was the highest factor predicting health promoting lifestyles of college students (30.55%). Self-efficacy and control accounted for 36.55% in health promoting lifestyle of college students.
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