This study was conducted to compare the practice of health promoting behaviors between hospital workers and government officers. The subjects for this study were consisted of 344 hospital workers in four university hospitals and 340 government officers in four district offices in the Kyong-in area. Data were collected by using constructed questionnaires from January to February in 1997 and analyzed by Chi-square test, t-test. ANOVA, Pearson correlation coefficient and stepwise multiple regression. The results were as follows : 1. There was no significant difference between hospital workers and government officers in practice of health promoting behaviors as a whole. but among five domains of the health promoting behaviors, hospital workers was significantly higher than that of government officer in the domain of health responsibility, while they were significantly lower than those of government officer in the domain of exercise & nutrition and stress management. The mean score of health promoting behavior for hospital workers and government officer were 2.40, and 2.47, respectively. The health promoting behavior in relation to the characteristics of the hospital workers varied significantly according to sex and age. The domain of self-actualization ranked highest in health promoting behaviors of hospital workers, interpersonal support came next. stress management, health responsibility and exercise & nutrition followed them. While those of government officers. the domain of self-actualization ranked highest. interpersonal support came next, stress management, exercise & nutrition and health responsibility followed them. 2. There were no significant difference between hospital workers and government officers in the health perception with mean score of 3.32 and 3.34 respectively, in the self esteem with mean score of 2.82 and 2.84 respectively, in the self-efficacy with mean score of 70.50 and 72.35 respectively. in the internal health locus of control with mean score of 2.95 and 3.03, respectively, m the chance health locus of control with mean score of 2.10 and 2.13, respectively, m the powerful others health locus of control with mean score of 2.39 and 2.46, respectively. 3. The practice of health promoting behavior of hospital workers were strongly associated with self-esteem and self-efficacy, and self-esteem was strongly correlated with self-efficacy. And the practice of health promoting behavior of government officers were strongly associated with self-esteem, powerful others health locus of control and internal health locus of control. and self-esteem was strongly correlated with self-efficacy. 4. The combination of self-esteem, powerful others health locus of control. health perception. self-efficacy. internal health locus of control. age and marital status explained $45.7\%$ of variance of likelihood to engage in health promoting behavior of hospital workers. And the combination of self-esteem. powerful others health locus of control. health perception. self-efficacy. internal health locus of control. sex and marital status explained $48.2\%$ of variance of likelihood to engage in health promoting behavior of government officers.
This study was undertaken in order to examine the relationship of hardiness and health-promoting behavior and the effects of hardiness on stress-related physical symptoms. The subjects were 104 female nursing students of one college in Kongju. The instruments used for this study were a survey of general characteristics, hardiness(25 items), health-promoting behavior(44 items), and physical symptoms(35 items), Analysis of data was done by use of mean, Pearson correlation coefficient, stepwise regression and a hierarchical multiple regression with an SAS program. The results of this study are as follows. 1) Significant correlations between health -promoting behavior and subscales of hardiness, that is, control(r=-.35, P<.00l), commitment(r= -.29, P<.0l), and challenge(r= -.23, p<.05) were found. 2) Control was the highest factor predicting health -promoting behavior. 3) Main and buffering effects of hardiness on current physical symptoms were not found.
Purpose: The purpose of this study was to identify the relationship among perceived stress, ways of coping, and health promoting behaviors in patients with chronic cardiovascular disease(CCVD). Method: Data was collected by questionnaires from 436 patients with CCVD in a General Hospital in Seoul. The data was analyzed using descriptive statistics, Pearson correlation coefficients, and stepwise multiple regression. Result: The health promoting behavior showed a significant positive correlation with self-efficacy and social support. Also, the health promoting behavior showed a significant negative correlation with perceived stress and symptoms of stress. The stepwise multiple regression analysis revealed that the most powerful predictor of health promoting behaviors was symptoms of stress. Conclusion: A combination of symptoms of stress, social support, self-efficacy, and perceived stress account for 41% of the variance in health promoting behaviors of patients with CCVD. Data from this study suggest that symptoms of stress, social support, ways of coping, and perceived stress are significant influencing factors on health promoting behaviors of patients with CCVD.
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.
The objective of this study is to find out the difference in perceptional fatigue and health promoting behavior between hospital nurses and public health nurses. The subjects of this study were 141 hospital nurses and 73 public health nurses in Daejeon. Data were collected using a self-reporting questionnaire during the period from the 5th to 16th of March 2003. Collected data were analyzed using SPSS program. Real number, percentage, mean and standard deviation were calculated, and $x^2$-test and t-test, ANOVA, Pearson's correlation coefficient, stepwise multiple regression procedures were carried out. The findings of this study as follows: 1. The mean score of health promoting behavior was 2.71. 2. There were statistically significant differences in health promoting behavior according to age, marital status, family status, residency, educational level, income, the length of work experience and the field of work. (p<0.05) 3. There were statistically significant differences in fatigue according to age, marital status, family status, educational level, income, the length of work experience, perceived health status and the field of work. (p<0.05) 4. The fatigue was found to be in significant negative correlations with health promoting (r=-0.358, p<0.000) and self efficacy (r=-0.314, p<0.000). On the contrary, a significant positive correlation was found between fatigue and perceived barriers (r=0.210, p<00.01). 5. There were five predictors affecting health promoting behavior, which were self-efficacy, income, perceived benefit, fatigue and family support. The most influential factor was self-efficacy that made 31% of prediction, followed by income (6%), perceived benefit (5.2%), fatigue (2.2%) and family support (1.7%) in their order. As a whole, these factors made 46.1% of prediction of health promotion behavior.
The purpose of this study was to test the revised Health Promotion Model of Pender and to determine the factors to promote health behavior for adolescents' smoking behavior. The subjects of the study was 783 boys of 4 high school students. among 39. schools locating in Daejeon metropolitan city. The data was collected from July 1st to 15th. 1997 by school health nurse The research tool were HPLP of Walker. Pender. General self-efficacy scale of Sherer. control scale was measured by subconcept of hardiness scale of Pollock. and perceived barrier. perceived benefit. activity-related-affect tool were made by researcher via literature review The data were analyzed by SAS program using frequency. t-test. ANOVA. Schefee test. regression. The results were as follows 1. The mean of total health promoting behavior was $2.27\pm.35$. Among sub domain of health promoting behavior, the highest score was interpersonal support$(2.72\pm.60)$. and the lowest was health responsibility $(1.58\pm.44)$. 2. There were statistically significant difference in total health promoting behavior according to religion. parenting style. school performance. girl friend. father's smoking of individual characteristics. 3. The socioeconomic status. smoking, parent pattern. family structure of individual characteristics and experience domain associated with perceived benefit. perceived barrier. activity-related affect. interpersonal influence of behavior-specific cognition and affect domain. The perceived barrier. self-efficacy. girl friend and father's smoking of interpersonal influence. and control explained $25.8\%$ of variance of health promoting behavior. From above results school health nurse has to emphasize on health responsibility for health promotion of adolescent. But they couldn't intervene for parent pattern. socioeconomic status. family structure of individual characteristics and experience domain. it could be possible for school health nurse to promote health of adolescents through improving perceived barrier. also develop program to increase self-efficacy and through parent health class for fathers. Above results point to the importance of including parents in smoking prevention effort targeting adolescents. Because increasing control also promotes health of adolescents. it should be studied further about the specific measure. To verify the variables for increasing the fitness of health promoting model. it needs further replication of the research.
Purpose: This study is to examine the effect of a health promoting education program for middle-aged women. Methods: Health promoting education program: The subject group consisted of 116 women between 40 and 60 years of age. Three 12-week sessions consisted of a 90 minute class each week, from March 14th to November 14th, 2003. Pre- and post-education tests were collected after each session. The data was collected using structured questionnaires before and after the education sessions. Data were analyzed employing descriptive statistics, paired t-test with SPSS/PC (10.0 version) program. Results: There were significant changes in health promoting behavior, but no significant changes in the self-efficacy and the knowledge of health management. Conclusion: This study showed that a health promoting education program has partially positive effects for middle-aged women. Based on this study, a continuous education program through a community health center is needed for middle-aged women's health.
This study was conducted to investigate the disease preventive behavior and health promoting behavior of a community residents. The subjects were selected by convenient sampling and the total number was 300(Female, 170, Male, 130). The data were collected by face to face interviews during the period of Sep. 15-30, 1999. The measurement tool for this study was the rating score for disease preventive behavior and health promoting behavior. The instrument was developed by the researcher based on the tool of Korea Institute for Health and Social Affairs. The data were analyzed by percentage, mean, t-test, ANOVA. $x^2-test$ by Windows SPSS/PC program(v7.5). The results were as follows: 1. In the comparison of disease preventive behavior rates between male and female, there was a statistically significant difference in physical examination, measuring the blood pressure and vaccination for B type hepatitis. In the comparison of disease preventive behavior rates among the age, there was a statistically significant difference in physical examination, measuring the blood pressure. 2. The rating score for the health promoting behavior of the men subjects was lower than that of the women subjects. In the comparison of health promoting behavior scores between male and female, there was a statistically significant difference in smoking, drinking, regular exercise, breakfast eating, vegetable consumption and teeth brushing. In the comparison of promoting Behavior scores among the age, there were significant difference, there was a statistically significant difference in smoking, sleeping, seat belt use, breakfast eating and salty eating.
Purpose: The purpose of this study was to investigate the degree of knowledge of hepatitis A, health perception, and health promoting behavior among young and middle-age adult's. Methods: 207 young and middle-age adult's workers living in Gyeonggi-do participated in this study and completed structured questionnaire. The knowledge of hepatitis A was assessed by the questionnaire which researchers developed. Health perception was measured by Health Perception Scale (Ware, 1979) while health promoting behavior was assessed by Lee's(2006) questionnaire. These data were analyzed with Pearson correlation coefficient, t-test, ANOVA. Results: The knowledge score of hepatitis A was 9.53; the health perception score was 3.71; the health promoting behavior score was 3.38. There were no significant differences in knowledge of hepatitis A, health perception, and health promoting behaviors. However, A significant correlation was found between health perception and health promoting behaviors. Conclusion: The knowledge of hepatitis A found to be low. Therefore further study needs to develop nursing interventions that could improve knowledge and awareness of hepatitis A.
This descriptive correlational study was conducted to identify the variables related to a health promoting behavior in nursing students. 238 nursing students were selected by a convenience sampling method. The data were collected by self - reported questionnaires from 12 to November 19, 2001. The data were analyzed by using descriptive statistics, pearson correlation coefficient, stepwise multiple regression with an SPSS program. The result of this study were as follows: 1. The average score of health promoting behavior was 2.47(SD=0.36)of a 4 point scale. Self actualization (mean=2.94, SD=0.50), interpersonal support (mean=2.91, SD=0.53), stress management(mean=2.58, SD=0.48), health responsibility(mean=2.07, SD=0.48)) nutrition & exercise(mean=2.07, SD=0.48)) were also analyzed. 2. Health promoting behavior showed significant positive correlations with selfesteem(r=0.446, p<0.001) perceived health status(r=0.180, p<0.01), perceived benefits (r=0.183. p<0.01). self-efficacy(r=0.311, p<0.001), social support(r=0.447, p<0.001), control(r=0.169, p<0.01). 3. The combination of self-esteem, social support, affect related to action explained $38.0\%$ of the variance in health promoting behavior. On the basis of the above findings. self-esteem and social support were identified as the variables which explained most of Pender's health promoting model. Nursing strategies enhancing self-esteem and social support which have a more significant effect on health promoting lifestyles should be developed.
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