Purpose: Perceived stigma may disrupt the ability of people with physical disability to successfully adapt to their situation. The purpose of the study was to examine the relationship between perceived stigma and self-esteem among adults with physically disabled. Method: The sample was drawn from August to October of 2006 at the rehabilitation centers and public health centers in Seoul and Gyeonggi-do, Korea. The data were collected from 314 persons with physical difficulty. Self-esteem was measured using the Rosenberg Self-Esteem Scale. Perceived stigma was measured using the Perceived Stigma Scale for the person with physical disability developed by Lee. Result: There were significant differences of perceived stigma of the person with physical disability according to marital status and economic status. There was a statistically significant negative correlation between perceived stigma and self-esteem of the person with physical disability. Conclusion: The Findings of this study suggest that using nursing intervention to decrease the perceived stigma may promote self-esteem among persons with physical disability.
Purpose: The study was done to identify factors influencing Yangsaeng in elders. Methods: Data were collected by questionnaires from 907 elders in D metropolitan city. Measures were Yangsaeng, perceived health status, self-efficacy, and self esteem. Data were analyzed using frequencies, means and standard deviation, t-test, one-way ANOVA, Pearson correlation coefficients, and stepwise multiple regression with SPSS/WIN 13.0 version. Results: The mean score for Yangsaeng the participants was 3.56, out of a possible 5. There were significant differences in Yangsaeng according to age, education level, monthly income, marital status, family structure, and periodic health examination. Yangsaeng correlated positively with perceived health status, self-efficacy and self-esteem. According to the research, factors influencing Yangseng in elders were self-esteem, perceived health status, self-efficacy, family structure, and marital status. Conclusion: The positive correlation between Yangsaeng and health promotion behavior and perceived health status, self-efficacy, and self-esteem identified in this study can have an impact on strategies to improve the health of Korean elders. Therefore, the results can be used as a reference for future studies.
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.
This study was conducted to identify the characteristics of pain, self-esteem, perceived health status, and self-efficacy and its influencing factors in patients with chronic arthritis. The data were obtained from 104 patients with chronic arthritis registered in one university hospital in Seoul, from May to August, 2000. For analysing the data, SAS program was used for t-test, ANOVA, Scheffe test, Pearson correlation, and stepwise multiple regression. The results were as follows: 1. The variables which showed significant difference with pain were sex, number of painful joints. 2. The variables which showed significant difference with perceived health status were age, diagnosis. number of painful joints. 3. The variables which showed significant difference with self-efficacy were duration of disease, number of painful joints. quality of sleeping. 4. Moderate negative correlation were observed between pain and perceived health status, self-efficacy, and low positive correlation was observed between self-esteem and perceived health status. Also self-esteem revealed moderate positive correlation with self-efficacy, and moderate positive correlation was observed perceived health status and self-efficacy. 5. The predictors to explain self-efficacy were number of painful joints, self-esteem, duration of disease, duration of exercise and pain. These predictors explained $36.05\%$ of variance of self-efficacy. In conclusion, the nursing intervention to improve self-efficacy for chronic arthritis patients focused not only physiological symptoms such as pain. but also psychosocial factors such as self-esteem.
The purpose of this study is to provide a basis for nursing intervention strategies to promote quality of life in cancer patients. Therefore the study is designed to evaluate the effectiveness of perceived health status, self-esteem, health locus of control, self-efficacy, perceived susceptibility /severity, health promoting behaviors, and hope for quality of life. The sample was composed of 164 stomach cancer patients who visited outpatient clinics at a university hospital in Seoul. The following instruments were used in the study after some adaptation : Lawstone and others' Health Self-rating Scale, Rosenberg's Self-esteem Scale, Wallston and others 'Multidimensional Health Locus of Control Scale, Sherer & Maddux's Self-efficacy Scale, Moon's Health Beliefs Scale, Walker and others' Health Promoting Lifestyle Profile, Nowotney's Hope scale and Noh's Quality of Life Scale. Data were analyzed using a SAS program for Pearson correlation coefficients, descriptive correlational statistics and stepwise multiple regression. The results are as follows : 1. The scores on the quality of life scale ranged from 115 to 243 with a mean of 177.84(SD : 25.35). The mean scores(range 1-5) on the different dimensions were : emotional state 3.37 : economic life 3.47 : physical state & function 3.52 : self-esteem 3.66 : relationship with neighbors 3.37 ; family relationships 3.80. 2. There was a significant correlation between all the predictive variables and the quality of life (r=.20-.65, p<.01). 3. Stepwise multiple regression analysis showed that : 1) Self-esteem was the main predictor of quality of life and accounted for 46.9% of the variance in quality of life. 2) Perceived health status, hope and perceived susceptibility/severity accounted for 11.8%, 8.3%, 1.5% of the variance in quality of life, respectively. 3) Self-esteem, perceived health status, hope & perceived susceptibility /severity combined accounted for 68.5% of the variance in quality of life. In conclusion, self-esteem, perceived health status, hope and perceived susceptibility / severity were identified as important variables in the quality of life of cancer patients.
Journal of Korean Academy of Fundamentals of Nursing
/
v.3
no.2
/
pp.183-199
/
1996
The Purpose of this study is to develop and test a nursing model which can be applied to prediction of the quality of life for the patient receiving hemodialysis. A hypothetical model was constructed on Johns & Meleis's empowerment model framework which has 3 contsructs(stress, resource, empowerment). 6 Factors(perceived stress, self-esteem as personal resource, perceived social support as social resource, perceived fertigue, perceived health status & self efficacy as empowerment) were selected to pre dict the quality of life of receiving hemodialysis patients. 4 Factors(self-esteem, perceived social support, perceived health status & self efficacy) had direct effects on the quality of life significantly. Self-esteem had indirect effect on the quality of life via perceived heath status significantly. Perceived social support had indirect effect on the quality of life via self-effcacy significantly. Perceived stress had no direct and indirect effect on the quality of life significantly. Revised model from hypothetical model showed better fit to the data by eliminating unsignificant path. From results of this study we suggest that to improve quality of life of hemodialysis patient nurses provide nursing interventions which improve self-esteem, perceived social support, self-efficacy & perceived health status.
Purpose: The research is a descriptive study to identify the correlations among perceived health status, self-esteem, and personality and to determine the influencing factors of perceived health status in high school students who live in Uganda. Methods: Data were collected using a questionnaire from February to May 2014. The participants were 300 students in three high schools in Uganda. The collected data were analyzed by descriptive statistics, t-test, one way ANOVA, Pearson correlation, and stepwise regression analysis using SPSS 21.0. Results: The scale mean scores (4 scale) for perceived health status, self-esteem, extraversion, neuroticism, psychoticism, and lie, the last four being the types of personality covered in the study, were $2.27{\pm}0.37$, $2.27{\pm}0.31$, $2.13{\pm}0.33$, $2.55{\pm}0.41$, $2.36{\pm}0.27$, and $2.20{\pm}0.34$, respectively. The variables that showed positive correlations with perceived health status were self-esteem and extraversion and the ones that showed negative correlations with perceived health status were neuroticism, psychoticism, and lie. Self-esteem, extraversion, and neuroticism were proved to be major influencing factors affecting perceived health status. Conclusion: These results may be used as supporting data when developing health education programs to improve the health of Ugandan adolescents.
Purpose: The study was done to identify factors influencing health promoting behaviour in office workers according to the type A/B personality. Methods: The data were collected by questionnaires from 249 workers in Seoul and Gyung-gi province. Measures were a health promoting behaviour, the type of personality, self-esteem, perceived health status, social support, and job stress. The data were analyzed using Pearson correlation coefficients, t-test, and stepwise multiple regression with SPSS/WIN 15.0 version. Results: This study suggests that A type office workers have a little lower degree in health promoting behaviour, self-esteem, social support and have a higher degree in perceived health status, perceived symptoms and job stress than those of B type office workers. The factors which influence A type office workers on health promoting behaviour are social support, perceived health status and self-esteem, which accounted for 40.2% of the variance and those of B type office workers, self-esteem and perceived health status accounted for 24.5%. Conclusion: It needs to develop and operate self-management program for health maintenance and promotion for the type A/B personality White Collar Workers.
This study was conducted to find the relation among perceived health status, self-esteem, self-efficacy, and social support related with the health behavior in the aged, and to ascertain the factors which affect the health behavior in the aged. For this study, 271 old men and women were surveyed from June to July, 2008, who lived in Daejeon and Chungnam province, and were 65 years old and over. As a result, it was surveyed that the old having their religious beliefs were good in health behavior, and the old who had a spouse and a high level of education were good in health status. And also, old women had a higher self-efficacy than old men, and the old who had a high level of education had a higher self-efficacy than those who didn't. Among the subjects of this study, there was a significant correlation between the health behavior in the aged and perceived health status, self-esteem, and self efficacy, and one between perceived health status and self-esteem, and self efficacy. And also, there was a significant correlation between self-esteem and self efficacy. Self-esteem was confirmed as the important variable which affected the health behavior of the aged. The limitations, implications of this study and future tasks for the old were discussed.
Purpose: This study was to identify the factors influencing depression among patients with degenerative arthritis after total knee arthroplasty. Methods: The subjects were 108 patients who admitted or visited K hospital in K city after total knee arthroplasty. Data were analyzed using SPSS WIN 18.0 program. Results: The level of depression was 2.72 with a possible range of 1 to 5. Social support was 3.71 out of a total score 5. Self-efficacy was 64.47 ranged from 10 to 100. Self-esteem was 2.59 ranged from 1 to 5. The associated factors with depression were marital status, length of illness, perceived health status, pain, social support, self-efficacy, and self-esteem. Marital status, length of illness, and perceived health status accounted for 5.8% of depression. Next, all variables including pain, social support, self-efficacy and self-esteem accounted for 66.4% of depression. Conclusion: The level of depression among the subjects significantly be related to marital status, length of illness, perceived health status, pain, social support, self-efficacy and self-esteem. It indicates a need to develop nursing interventions for them to decrease depression and develop quality of life during recovery.
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