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: This cross-sectional study was conducted to investigate the prevalence of health risk behaviors by gender and grade and to examine the correlation between health risk behaviors and self-efficacy in early adolescents. Method: The sample of this study consisted of 1.693 early adolescents recruited from 7 middle schools in S-Gu, Seoul, Korea. Health risk behaviors were measured by the Youth Risk Behavior Surveillance Survey (YRBS). Self-Efficacy was assessed by General Self-Efficacy (GSE). Results: About a third of the subjects had experience in drinking behavior about 19.4% in cigarette smoking (including cases of just one or two puffs), 25.9% in physical fight, 29.1% in thought about killing themselves (suicide-related behavior), 1.5% in drug. More than a half (60.5%) experienced at least one health risk behavior. Female students were more likely to report drinking experience and suicide-related experience. Health risk behaviors were not significantly correlated with self-efficacy in early adolescents. Conclusions: Many early adolescents had experience in health risk behaviors in the past. The findings of this research suggest the necessity of intensive prevention programs in middle school to motivate and prepare students to avoid these behaviors. In addition, these results may help health professionals plan appropriate screening and counselling for health problems in early adolescents.
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.
Purpose: This study was done to examine the effects of a Program Promoting Efficacy Expectation, as to whether the program improved self-efficacy, health promotion behavior and quality of life for rural middle-aged women. The program was based on Bandura's self-efficacy theory and Pender's health promoting behavior theory. Method: The research design was a quasi experimental, nonequivalent control group pretest-posttest design. Data were collected from August 25 to December 7, 2000. The participants were 40 to 59 year old women who resided on Je-ju island. Among the 83 participants, 43 were assigned to experimental group and the rest to the control group. Results: The level of self efficacy and the degree of health promoting behavior of participants in the experimental group was higher than those in the control group (t=12.82, p=0.0001; t=14.13, p=0.0001). Also, the level of quality of life in the experimental group was higher than that of the control group (t=12.02, p=0.0001). Conclusion: The Efficacy Expectation Promotion Program was an effective nursing intervention for improving self-efficacy, health promotion behavior and quality of life. Therefore, when nurses are planning programs directed at improving health promotion behavior in rural middle aged women, they should consider the concept of self-efficacy.
The purpose of this study is to examine the effects of self-leadership and self-efficacy on organizational performance, or more specifically, job satisfaction, organizational concentration and organizational citizenship behavior and then the effects of hospital organization members' job attitude on organizational performance, helping strengthen capability that individuals of the members have and ultimately improve that performance. Findings of the study can be summarized as follows. First, self-leadership has statistically significant effects on organizational citizenship behavior. Second, self-leadership has statistically significant influences on self-effectiveness, especially job satisfaction and organizational concentration. Third, how self-efficacy influences organizational effectiveness was examined to find that self-efficacy has significant effects on organizational concentration, but not on job satisfaction. Fourth, self-efficacy has no effect on organizational citizenship behavior. Fifth, how organizational effectiveness influences organizational citizenship behavior was investigated to find that effectiveness has statistically significant effects on organizational concentration, but not on job satisfaction.
Journal of Korean Academy of Fundamentals of Nursing
/
v.18
no.2
/
pp.217-225
/
2011
Purpose: The purpose of this study was to analyzing the relationship between perceived health status, health locus of control, self-esteem, self-efficacy and HPB in patients with multiple myeloma to identify factors influencing health promoting behavior (HPB). Methods: One hundred patients were recruited into the study. The data were collected by personal interviews using questionnaires. Descriptive statistics, Pearson's correlation coefficients and stepwise multiple regression analysis were used with SPSS program to were analyze the data. Results: There were significant relationships between self-esteem (r=.787, p<.001), self-efficacy (r=.681, p<.001), internal health locus of control (r=.557, p<.001), powerful others health locus of control (r=.517, p<.001), chance health locus of control (r=-.251, p=.012), perceived health status (r=.532, p<.001) and HPB. Significant factors in explaining HPB were self-esteem, powerful others health locus of control, self-efficacy and perceived health status and together they accounted for 71% of variance. Conclusion: The study findings indicate that self-esteem, powerful others health locus of control, self-efficacy, and perceived health status were important factors in explaining HPB in patients with multiple myeloma. As self-esteem was an important variable in HPB, health promotion program designed for this population should focus on self-esteem and these other factors to enhance effective health promotion behavior.
Purpose: The purpose of this study was to describe the impact of fatigue and distress on self-efficacy among breast cancer survivors and to provide a base for development of nursing intervention strategy to improve self-efficacy. Methods: A descriptive research design was used. The subjects were 158 patients who were either being treated or were receiving follow-up care at a university breast center in D City from May 30 to August 30, 2014. Structured questionnaires, Revised Piper Fatigue Scale, Distress Thermometer, and Self-Efficacy Scale for Self-Management of Breast Cancer were used to measure fatigue, distress, and self-efficacy. Data were analyzed using t-test, ANOVA, Pearson's correlation coefficients, and multiple regressions. Results: The mean scores of fatigue, distress, and self-efficacy were 3.83, 4.31, and 3.77, respectively. There were significant differences among participants in terms of educational background, current treatment methods, perceived health status, economic burden for fatigue and perceived health status for distress. Self-efficacy was impacted by age, educational background, marital status, average monthly income, perceived health status, and medical expenses. Fatigue, age, and the burden on medical expense had the most impact on self-efficacy, accounting for 17% of the variance. Conclusion: Fatigue should be managed to improve self-efficacy of breast cancer survivors. Therefore, nursing programs designed to decrease fatigue may be helpful.
Purpose: The purpose of this study was to examine the relationships among self-care, self-care agency, self-efficacy, and quality of life in type II diabetic patients registered at a public health center. Method: The study subjects were 128 type II diabetic patients who were living in G city. The data were collected from March 2001 to February 2002. The instruments used for this study were the self-care scale developed by Jeung(1997) and designed by Park (1984) based on the original scale, the self-care agency scale developed by So (1992), the self-efficacy scale developed by a Jeung (1997) and designed by Paek (1996) based on the original scale, and the quality of life scale developed by Ro (1988). The data were analyzed using descriptive statistics, pearson correlation coefficient, and stepwise multiple regression. Results: 1. The relationships among self-care, self-care agency, self-efficacy, and quality of life were significant. Self-care was significantly related to self-care agency (r=.609. p<.01), self-efficacy (r=.763. p<.01), and quality of life (r=.493. p<.01). 2. The stepwise multiple regression analysis was performed to identify factors influencing quality of life of the subjects. The most powerful predictor was self-care agency (48.4%). The combination of self-care, complication status, age, education level, and self-efficacy accounted for 88.7% of the variance of quality of life in type II diabetic patients. Conclusion: The results suggest that self-care, self-care agency, self-efficacy, and quality of life are important variables for development of nursing intervention programs for patients with diabetes.
Purpose: The purpose of this study is to examine effects of a self-help management program at public health centers on self-efficacy, self-esteem, knowledge of stroke and family supports in stroke patients. Methods: Based on a quasi-experimental design, 44 persons with stroke were assigned to the experimental group (n=21) or the control group (n=23). Data were analyzed through the descriptive statistics, t-test, $x^2$-test and Mann-Whitney test with the SPSS/WIN 18.0 program. Results: The experimental group showed significant improvement in its members' self-efficacy, self-esteem, knowledge of stroke and family supports. Conclusion: The self-help management program can be an effective nursing intervention to help stroke patients improve their self-efficacy, self-esteem, knowledge of stroke and family supports. That program is also meaningful in that it can contribute to more effective implementation of established programs for stroke patients in public health centers.
Purpose: This study was to identify the relations among ADL, self-efficacy, physical activity and cognitive function in elders. Methods: A total of 257 subjects aged between 60 and 92 were selected through convenient sampling. Data were collected with a self-reported questionnaire from November 1 to November 30, 2008. Collected data were analyzed with SPSS/WIN 15.0. Results: Differences in ADL, self-efficacy, physical activity, and cognitive functions according to general characteristics were as follows. ADL was significantly different according to age, cohabitation, recognition on health, and successful aging. Self-efficacy was significantly different according to cohabitation, recognition on health, and successful aging. Physical activity was significantly different according to age, educational level, cohabitation, and cognition on health. Cognitive function was significantly different according to age, educational level, job, and recognition on health. The correlation coefficient (r) of the ADL variables was .565 for self-efficacy, .633 for physical activity and .460 for cognitive function. Conclusion: Findings of this study may be useful in understanding the health status of community-dwelling elders and developing more specific health promotion programs.
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