This study was done to suggest directions for research and interventions of health promoting behaviors in Korean older adults in the future. Thirty seven articles for health promoting behaviors in Korean older adults were reviewed and analyzed. Findings are summarized as follows: 1) The total scores of the HPLP in Korean older adults were 2.30-2.44 out of 4 points. In the subscale, the highest degree of performance is nutrition, following interpersonal support, self actualization, stress management, health responsibility and the lowest degree of performance was exercise. 2) The total scores of the Health Behavior Assessment Tool of the Korean Elders were 2.87-3.2 out of 4 points. 3) Among the characteristics of older adults, monthly pocket money, previous job had consistently significant relationships with health promoting behaviors. Sex, job and presence of disease were consistently insignificant relationships with health promoting behaviors. 4) Perceived health status, self efficacy, self esteem, family support and social support had consistently significant correlations with health promoting behaviors. 5) In regression analysis, self efficacy, family support, depression, self esteem were the most powerful predictors of health promoting behavior in more than two articles. Predictors accounted for 14.2-65.2 % of the variance in health promoting behaviors of Korean older adults. On the basis of above findings, It is necessary to develop the interventions for more regular practice of the health promoting behaviors in Korean older adults. The interventions are recommended to focus increasing the exercise & health responsibility and to use the strategies to increase self esteem, self efficacy, social support including family support.
Purpose: This study was done to examine the effects of mood state, resourcefulness, and health perception on health promoting behavior of hospital nurses. Methods: Convenience sampling was conducted for nurses working at three University hospital and 336 nurses were selected. Data were analyzed using SPSS 18.0. Results: The results of the analysis showed that the score for nurses' mood state was $41.76{\pm}18.90$; for resourcefulness, $11.30{\pm}20.63$; for health perception, $3.32{\pm}.77$, and for health promoting behavior, $111.55{\pm}17.76$. Mood state, resourcefulness, and health perception were significantly correlated with health promoting behavior. The overall explanatory power of the effects of nurses' mood state, resourcefulness, and health perception on health promoting behavior was 27.8%. Conclusion: Study results indicate that better mood state, higher resourcefulness, and higher health perception result in more health promoting behavior.
This study was undertaken in order to determine the relationship among a health locus of control. self-esteem. perceived health status. and health promoting behavior in order to determine factors affecting health promoting lifestyle in college students. The subject were 137 students of one university in Kyungsan. The analysis of data was done with a mean. percentage. Pearson correlation coefficient. and Stepwise multiple regression with an SAS program. The result of this study ware as follows: 1. Performance in health-promoting behavior was significantly correlated with self-efficacy and self-esteem 2. Performance in self-achievement was significantly correlated with self-efficacy, self-esteem, and perceived health status. Performance in health responsibility was significantly correlated with self-efficacy and self-esteem Performance in exercise was significantly correlated with self-efficacy and perceived health status. Performance in nutrition was significantly correlated with self-efficacy. self-esteem. and perceived health status. Performance in interpersonal support was significantly correlated with self-efficacy. internal locus of control. and self-esteem Performance in stress management was significantly correlated with self-efficacy, self-esteem. and perceived health status. 3. Self-efficacy was the highest factor predicting health promoting lifestyles. 4. Self-efficacy was the highest factor predicting self-achievement. health responsibility. exercise. nutrition. and stress management. Self-esteem was the highest factor predicting interpersonal support. From this research findings, we need to develop health promoting program and health education focusing on exercise, health responsibility for college students.
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.
The purpose of this study was to identify the factors influencing health promoting lifestyle of teachers and to provide the data for efficient health management of teachers. The subjects of this study were eight hundred nine teachers, who were chosen in Choong-Buk province. Survey Questionaires for data analysis were collected through visiting or mailing from September 1 to 30, 1997. The instruments used in this study were HPLP(Health Promoting Lifestyle Profile) by Walker (1987), Internal Health Locus of Control by Walston et al. (1978), Self Esteem by Rogenberg(1965), Importance of Health by Muhlenkamp (1985), Self Efficacy by Sherer & Maddux(1982), and Family Function by Olson & Schellenberg (1985). Data were analyzed by descriptive statistics, unpaired t-test, ANOVA, Pearsons correlation coefficient and stepwise multiple regression using SPSS/PC(v. 4.01) program. The results were as follows; 1. The mean of health promoting lifestyle was total 2.53 on the average, self-actualization 2.97, nutrition 2.90, interpers 52, stress management 2.33, exercise 1.91, and health responsibility 1.82 in order. The index of total health promoting lifestyle was significantly influenced by the factors including sex, age, religion, marital status, duration of work, teaching load, education level and number of family members. 2. The health promoting Lifestyle was significantly positive correlated with Self Efficacy, Family Function, Importance of Health, Internal Health Locus of Control and Self Esteem. 3. Self Efficacy was the most influential determinant predicting health promoting lifestyle of teachers. Self efficacy, Family Function, Importance of Health, Internal Health Locus of Control and Age explained 42% of the health promoting lifestyle. Based on the above findings, it is suggested to develop nursing intervention to improve Self Efficacy, Importance of Health, Family Function of teachers enhance health promoting lifestyle. Further studies are needed to confirm these findings and to determine factors which significantly influence health promoting lifestyle of teachers.
Objectives: This study was conducted to identify health-promoting behaviors and related factors by type of residence between two groups of college students: those who live in dormitories and those who commute from home. Methods: We used the data from 2,287 students (870 male, 1417 female) from 14 colleges in Daegu and Kyungpook areas and compared health-promoting practice scores, general characteristics, health environment, and parental support. Multiple regression analysis was performed with health-promoting practice scores as a dependent variable. Results: Dormitory residents presented significantly lower health-promoting practice scores than commuters in both gender. Multiple regression analysis showed that the factors associated with health-promoting behaviors were health environment (p<0.05) and parental influence/support (p<0.01) for male dormitory residents. For female dormitory residents interest in health(p<0.05), stress(p<0.05), and parental influence/support(p<0.01) were associated. Conclusions: Systematic development of health education programs would be needed for the practice of health promotion behavior of college dormitory students with the help of environmental and institutional support. We suggest a program for stress management, smoking, health behavior, and alcohol and a parental program to increase contact with their children for a positive parental influence and support.
Purpose: To investigate the factors influencing health promoting behavior in college students and to provide a basic data for developing an effective health promotion program. Method: The subjects were 711 college students living in Jecheon city and were selected using a convenience sampling method. The instruments used in this study included the Health Promoting Lifestyle Profile developed by Walker et al.(987). Perceived Health Status developed by Lawston et al. (1982). Self-Esteem scale developed by Rosenberg(1965), Self-Efficacy scale developed by Becker et al. (1993), and Health Locus of Control developed by Wallston et a1.(1978). The data were analyzed by descriptive statistics, pearson correlation coefficient, and stepwise multiple regression using SPSS/WIN program. Results: I) The mean score of health promoting behavior was 2.39 point out of 4. In terms of sub-domains of health promoting behavior, self-actualization(2.78) showed the highest mean score, followed by interpersonal support(2.75), stress management(2.38), nutrition(2.11), exercise(2.04), and health responsibility (1.97). 2) The health promoting behavior had significantly positive correlations with self-efficacy, powerful others health locus of control, internal health locus of control, chance health locus of control, and perceived health status. 3) In the relationship between general characteristics and health promoting behavior, health promoting behavior was significantly different by gender(t=2.17, p=.03), and financial status of parents (F=10.79. p= .00). 4) The most powerful predictor of health promoting behavior was self-efficacy. A combination of self-efficacy, self-esteem, powerful others health locus of control, and sex accounted for 40.4% of the total variance in health promoting behavior. Conclusion: The findings of this study showed that health responsibility and exercise were the domains where the college student showed relatively lower scores than other domains, self-efficacy was the most important predictor of health promoting behavior. Therefore, it is suggested that health promoting programs should focus on health responsibility, and exercise. Nursing strategies that can enhance self-efficacy should also be developed in order to promote healthy lifestyles in college students.
Purpose: The purpose of this study was to supply basic data for a health promoting program and to elevate the level of it by examining whether university students' health promoting behaviors were related to health perception, health concept, self- esteem, perceived benefits of action, perceived barriers of action, perceived self-efficacy, activity-related affect, social support, preference, prior related behavior, and a plan for action. Method: Subjects were 192 university students in K city. Data collection method was a structured questionnaire. Data was analyzed using descriptive statistics, t-test, ANOVA, Pearson's correlation, and stepwise multiple regression. Result: The most powerful predictor was previous related behavior (36%). Altogether previous related behavior, health status, a plan for action, perceived self-efficacy and number of admissions were proven to account for 57% of health promoting behaviors. Conclusion: It suggested that prior related behavior, health status, a plan for action, perceived self-efficacy, and number of admissions should be considered when developing a students' health promoting program.
Purpose: This study was to examine the relationship between psychosocial distress and health promoting behaviors of middle-aged women. Methods: The subjects consisted of 278 women between the ages of 40 and 60 years in the Seoul-Kyunggi region. Data collection was conducted through the use of questionnaires. The instruments for this study were psychosocial distress(45 items) and Health promoting behaviors(43 items). Results: The average item score for psychosocial distress was high at 96.5, and the health promoting behaviors were moderate at 139.8. The psychosocial distress was significantly different according to age, education, marriage status, menstruation status, satisfaction of marriage. The health promoting behaviors was significantly different according to religion, education, menstruation status, satisfaction of marriage. Negative correlations were observed between psychosocial distress and health promoting behaviors(r=-.43, p=.000). Conclusion: These findings help to clarify relationships between relationship between psychosocial distress and health promoting behaviors of middle-aged women. Therefore, the result of study provide clues for promoting health in middle-aged women.
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.
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