Purpose: The purpose of this study was to identify quality of sleep and health-promoting behaviors in rotating-shift nurses and to explore the influence of health promoting behaviors on quality of sleep. Method: Participants were 161 staff nurses working in an irregular three shift system in one of three general hospitals located in Kyungpook province. Data were collected using the Pittsburgh Sleep Quality Index and the Health Promoting Lifestyle Profile-IIand were analyzed using hierarchical multiple regression analysis. Results: The majority of the participants had very poor quality of sleep and performed a low level of health promoting behaviors. In terms of health promoting behaviors, nutrition and stress management significantly influenced quality of sleep of these nurses. Conclusion: Results indicate the importance of encouraging rotating-shift nurses to enhance their health promoting behaviors in order to improve quality of sleep.
Purpose: This study was to identify the degree of health-promoting behavior and quality of life and the factors influencing quality of life of solitary elderly in rural areas. Method: The subjects of this study were 202 solitary elderly, and 65-89, who had been living in four rural areas. Data was collected through 4 questionnaires from July 10th, 2003 to August 30th, 2003. The collected data was analyzed using descriptive statistics, t-test, ANOVA, Duncan's multiple-range test, Pearson correlation coefficient and Stepwise multiple regression with SPSS/PC. Results: The average item score for the health-promoting behavior was 2.43; the highest score on the subscale was self-actualization (M=2.58) with the lowest being exercise (M=2.05). 2) The average item score for the quality of life was 2.81; the highest score on the subscale was neighbor relationships (M=3.27) with the lowest being economic conditions (M=2.24). There were significant differences in the health-promoting behavior by educational level and leisure-activity, in the quality of life by age and religion. Quality of life scores correlated negatively with depression scores (r=-.063, p=.000) and positively with health-promoting behavior (r=.144, p=.000), social support scores (r=.383, p=.000). Stepwise multiple regression analysis for quality of life revealed that the most powerful predictor was health-promoting behavior. Health-promoting behavior, social support, depression and age explained 51.8% of the variance. Conclusion: These results suggested that elderly people in rural areas with high degree of quality of life are likely to be high in health-promoting behavior and social support and low in depression. Therefore, it is necessary to develop health promotion programs in due consideration of health-promoting behavior and social support and depression in order to enhance the quality of life of solitary elderly in rural areas.
The purpose of this study was to investigate the factors influencing health promoting behavior and quality of life in the nursing students, to provide the basic data for health promoting intervention in order to improve quality of life. The subjects of this study were 199 nursing students, living in M city, during the period from May 18 to 25, 1999. The instruments for this study were the health promoting behavior scale developed by Walker et al.(1987), the quality of life scale by Ro(1988), the self efficacy scale by Sherer(1982), the health locus of control scale by Wallston et al. (1978) and the self esteem scale by Rogenberg(1965). The data were analyzed using descriptive statistics, Pearson correlation coefficients, stepwise multiple regression, t-test, ANOVA. The results of this study are as follows; 1. The health promoting behavior showed significant positive correlation with self efficacy, self esteem, internal health locus of control and quality of life. 2. The quality of life showed significant positive correlation with self efficacy, self esteem, internal health locus of control. 3. Stepwise multiple regression analysis revealed that the most powerful predictor of health promoting behavior was self efficacy. A combination of self efficacy, self esteem, health locus of control and quality of life accounted for $41\%$ of the variance in health promoting behavior. 4. Stepwise multiple regression analysis revealed that the most powerful predictor of quality of life was self esteem. A combination of self esteem, self efficacy and health promoting behavior accounted for $40\%$ of the variance in quality of life. Based on the above findings, it is suggested to develop nursing intervention to improve Self Efficacy, Self Esteem of nursing students enhance health promoting lifestyle.
Purpose: This study is aimed at showing the effect of work-site health promotion programs for health promoting behavior, cholesterol, and quality of life of middle-aged workers. Method: Thirty-one middle-aged workers were the experimental group and thirty-one were the control group. The 8-week work-site health promotion program was given to the experimental group. After this, health promoting behavior, cholesterol and quality of life were measured by questionnaires for the experimental and control groups. Health promotion theory, flexibility and muscle strength, aerobic exercise, nutrition, stress management, cancer prevention and early detection, smoking and alcohol problems, and summary lecture were all included in the 8-week work-site health promotion program. Health promoting behavior was measured by Park's HPBS, cholesterol was measured by enzyme method, and quality of life was measured by Ro's QOL. Result: The experimental group showed a higher score of health promoting behavior than the control group. There were no differences on cholesterol and quality of life between the experimental and control groups. Conclusion: It is necessary that nurses provide middle-aged workers with work-site health promotion programs to improve health promoting behavior. It's necessary also to re-study this with the pre-post research design.
The purpose of this study was to investigate the factors influencing health promoting behavior and quality of life in the elderly, to provide the basic data for health promoting intervention in order to improve quality of life. The subjects of this study were 571 elderly person over the age of 65, living in Seoul, Korea, during the period from November, 1997 to January, 1998. The instruments for this study were the health promoting behavior scale developed by Walker et (1987), the quality of life scale by 노유자(1988), the health concept scale by Laffrey(1986), the perceived health states scale by Lawston et al. (1982), the health value scale by Wallston et al. (1978), the self esteem scale by Rogenberg(1965) and the self efficacy scale by Sherer(1982). The instruments for this study were pretested on the elderly for reliability and validity. The data were analyzed using descriptive statistics, t-test, Pearson correlation coefficients ANOVA and stepwise multiple regression. The results of this study are as follows ; 1. The health promoting behavior showed significant positive correlation with health concept, perception of health status, self esteem, internal health locus of control, self efficacy and quality of life in the elderly. 2. The quality of life showed significant positive correlation with health concept, perception of health status, self esteem, internal health locus of control, self efficacy in the elderly, 3. Stepwise multiple regression analysis revealed that the most powerful predictor of health promoting behavior was quality of life. A combination of quality of life, health concept, perceived health status, self esteem, internal health locus of control, and self efficacy accounted for 46% of the variance in health promoting behavior in the elderly. 4. Stepwise multiple regression analysis revealed that the most powerful predictor of quality of life in the elderly was self esteem. A combination of self esteem. A combination of self esteem, health concept, perceived health status. health promoting behavior and self efficacy accounted for 56% of the variance in quality of life in the elderly. From the results of the study, the following recommendations are presented as follow : 1. Development of a health promoting program to improve quality of life in the elderly. 2. In developing the health promoting program, the above major influencing factors be considered. 3. It is suggested that an education specialist in practice in the community be included in the program development.
This study was done to describe the health promoting behavior and the quality of life among climacteric women and to identify the factors affecting the performance in health promoting behavior and the level of quality of life among climacteric women. The subjects of this study were 171 women(40 to 60 years old). The sample data were collected using a convenient sampling method, collected from August 10th to September 20th, 2000. The instruments for this study were the health promoting behavior scale(Park, 1995), the quality of life scale(No, 1988). Frequency, percentage, t-test, ANOVA, Pearson's correlation with SPSS program were used to analyze the data. The results of the study were as follows; 1) The average score of the performance in the health-promoting behavior variables was 2.594. The variable with the highest degree of performance was the sanitary environment, whereas the one with the lowest degree was the professional health maintenance. 2) The average score of the level in the quality of life variables was 3.069. The variable with the highest degree was the relationship with neighbor, whereas the one with lowest degree was the economic life factor. 3) Performance in the health- promoting behavior was positively related to the level in the quality of life(r=0.54, P=0.001). 4) A significant difference was demonstrated between educational level, income, perceived health status and health-promoting behavior. 5) A significant difference was demonstrated between perceived health status and quality of life.
The purpose of this study was to identify the level of Symptoms of Stress, Stress Reaction, Health Promoting Behavior, and Quality of Life in Korean Immigrant Middle Aged Women. The subjects of this study were 33 middle aged women who live in Seattle, Washington, U.S.A. Data collection was performed at the U.W from Oct. 1998 to May. 1999. Data collection time was one hour and data was collected through 4 types of questionnaires : SOS, Health Promoting Behaviors, Quality of Life and Demographic data form, and the Physiologic Stress Profile was collected by J&J I-410 biofeedback equipment. The data was analyzed by descriptive statistics and the pearson correlation coefficient using the SAS program. The results of this study are as follows: 1. The level of physiological stress reaction and stress symptoms showed high level and quality of life showed low in general. 2. The Stress Reaction and Symptoms of Stress showed significant negative correlation with health promoting behavior, quality of life in the middle aged women. 3. The health promoting behavior showed significant positive correlation with quality of life in the middle aged women. In conclusion, the physiological stress reaction, symptoms of stress, and health promoting behavior were major influencing factor to quality of life in Korean Immigrant Women. From the results of the study, the following recommendations are presented as follow: 1. It is suggested that the study for developing the health promotion program focused on stress self-regulation for Korean immigrant women. 2. It is suggested that the comparative study for Korean immigrant women and Women in Korea. 3. It is necessary to broaden the scope of nursing practice for middle aged healthy women, so nurses can include a health promotion program focused on stress self-regulating as part of nursing care.
Purpose: This study aims to identify the mediating effect of health promoting behavior in the relationship between depression and health-related quality of life, and between social support and health-related quality of life among migrant workers. Methods: Data were collected from 152 migrant workers working at companies in K and B metropolitan cities. The study conducted a survey from August 1 to September 30, 2019, and used self-report structured questionnaires that were translated into English and Korean. The data were analyzed using descriptive statistics, Pearson correlation coefficient, simple and multiple regression, Baron and Kenny's method, and Sobel test. Results: Depression was significantly negatively correlated with social support (r=-.29, p<.001), health promoting behavior (r=-.30, p<.001) and health-related quality of life (r=-.44, p<.001). And social support was significantly positively correlated with health promoting behavior (r=.50, p<.001) and health-related quality of life (r=.44, p<.001). And health promoting behavior was significantly positively correlated with health-related quality of life (r=.51, p<.001). Furthermore health promoting behavior showed partial mediating effects in the relationship between depression and health-related quality of life (Z=3.26, p<.001), and showed partial mediating effects in the relationship between the social support and health-related quality of life (Z=3.98, p<.001). Conclusion: In this study, depression and social support were shown to mediate health promotion behavior to improve health-related quality of life. Therefore, in order to improve the health-related quality of life of migrant workers, it is necessary to focus on the health promotion behaviors, and effective strategies are needed to reduce depression, and support social support.
This study was conducted to investigate the relationship between self-esteem, health promoting behavior and the quality of life of the patients undergoing hemodialysis. The subjects were 86 patients undergoing hemodialysis in H hospital. The data were collected using a questionnaire. Data collection was done from January 11th to June 16th, 1999. The analysis of data was done by use of descriptive statistics, t-test, ANOVA, Pearson Correlation Coefficient and Multiple regression using the SPSS/PC+ program. The results are as follows: 1. The mean of the level of self-esteem was 25.02, the level of health promoting behavior, 120.04 and the level of QOL, 128.09. 2. Test for hypothesis: Hypothesis 1. "The higher the level of self-esteem of the patients undergoing hemodialysis, the higher the level of quality of life will be." was supported(r=.296, p<.01). Hypothesis 2. "The higher the level of health promoting behavior, the higher the level of quality of life will be." was supported (r=.628, p<.001). 3. Health promoting behavior explained 39.5percent of QOL($R^2$=.395, F=27.040, p<.001). 4. Monthly income(F=3.85, p<.01) and marital status(F=4.64, p<.05) were significantly related to the quality of life In conclusion, this study showed that self-esteem and health promoting behavior may be important factors that can improve the quality of life of the patients undergoing hemodiaysis. This study identified that nursing plans should include these factors to help physical, psychological and social adaptation of the patients undergoing hemodialysis.
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.
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