• Korean Journal of Adult Nursing
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• v.12 no.3
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• pp.431-451
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• 2000

In this paper, I will examine the variables influencing the Quality of Life of arthritis patients and present basic materials which help arthritis patients have positive thinking in life and ultimately lead a satisfactory life. The subjects for this study are 231 inpatients and outpatients with arthritis living in J and K city in Chonbug Province. For the analysis of collected data I employed the SAS program. The variables for characteristics and the quality of life were analysed by descriptive statistics, T-test and ANOVA, and the relations among variables were analysed through Pearson Correlation; the Regression method was employed to predict the factors affecting quality of life. For the validity of reliance on measuring equipment Cronbach Alpha was used. The results of the study are as follows : (1) The mean score of quality of life of arthritis patients is 3.09(5 in the maximum). The general characteristics which affect the quality of life are age(F=5.13, p=0.0006), standard of education(F=6.49, p=0.0003), marriage status(F=7.77, p=0.0005), monthly pay(F=4.37, p=0.0020), medical benefits (F=4.85, p=0.0087), and supports(F=4.39, p=0.0050). For the disease-related characteristics, there is a significant difference in the 6 items: pain control method(F=5.92, p= 0.0002), physical therapy(F=3.25, p=0.013), whethere or not patients exercise(F=4.62, p=0.0000), regularity of exercise(F=4.79, p=0.0000), frequency of exercise(F=6.29, p=0.0001), and amount of exercise(F=4.62, p=0.0043). Depending on the type of arthritis, there is also a significant difference in the degree of pain felt. The patients with infectious arthritis suffer from pain the most, followed by those with gout, rheumatism and degenerative arthritis, in that order. Although statistics don't show any convincing evidence, those with gout perceive that they are in best health condition, followed by those with rheumatism, degenerative arthritis, and infectious arthritis, in that order(F=2.23, p=0.0669). (2) The quality of life of arthritis patients is correlated positively with perceived health status(r=0.56, p=0.0001), health promoting behavior(r=0.53, p=0.0001), family support (r=0.46, p=0.0001), amount of exercise (r=0.36, p=0.0001), ADL(r=0.36, p=0.0001), HLOC(r=0.32, p=0.0001), frequency of exercise(r=0.32, p=0.0001)in that order, while correlated negatively with the degree of pain felt(r=-0.32, p=0.0001), the number of pain regions(r=-0.19, p= 0.0041), and the duration of pain(r=-0.14, p=0.0279). (3) Regression analysis reveals that the most powerful predictor of the quality of life is perceived health status, which account for 31.11%. The other predictors of the quality of life, which account for 60.22%, are health promoting behavior(16.51%), family support(3.81%), ADL(2.52%), gender(1.86%), the number of family members(1.36%), level of pain(1.24%), duration of pain (1.08%), and level of education(0.67%). The results of the study show that perceived health status and health promoting behavior are the two most important variables. However, considering that the perceived health condition is difficult to control by nursing intervention, it is suggested that the level of expectation for patients, must be decided first, and the health promoting behavior and the family support influencing the quality of life must be taken into account as targets for nursing intervention. As a way of controlling the quality of life, I think that a more comprehensive approach comprising the above important variables along with demographic and general characteristics is needed. I also suggest that we must continue to explore the variables affecting the quality of life and include those variables in nursing intervention.

• Korean Journal of Adult Nursing
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• v.20 no.2
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• pp.187-199
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• 2008

Purpose: This study is to develop a hypothetical structural model of the quality of life of single aged women and to explain the compatibilities between the models and actual data. Methods: Ten theoretical variables were used to evaluate of the quality of life of single aged women. 300 of single aged women were selected as the subjects. A hypothetical prediction model of quality of life was tested by the covariance structure analysis with PC-LISREL 8.12. Results: Economy, religion activity, leisure activity, social support, self-esteem, depression and health prompting behavior were the significant variables which affected to the quality of life directly in the single aged women. But social support, self-esteem affected to them indirectly. Knowing perceived health status directly but it affected indirectly to the quality of life in single aged women. Conclusion: In this study, it was discovered that self-esteem was the most important factor to affect to the quality of life in single aged women and the next was the depression and health promoting behavior. As a result, it was discovered that age, economic status, self-esteem and depression were the significant factors to affect to the quality of life in single aged women.

• Korean Journal of Health Education and Promotion
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• v.15 no.2
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• pp.199-215
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• 1998

The health care environment exerts tremendous influence on community health practices. Here the author mention several major factors that will influence the future plan for health service and health education; that is, economic problem, the issues of decrement of infectious disease, increment of chronic degenerative disease due to natural increase of the elderly, increased frequency of traffic and industrial accidents and the issues of medical-technological advances etc. Therefore, special efforts by health personnel should be made to develop health education and health promotion strategies on a community-wide basis. Accordingly, the flexible accessibility, convenient availability, guaranteed medical service, sufficient supply of health information, and rapidly available medicaid service for special population such as the elderly, the handicapped, the disabled and the poor are considered. Also, the financial support from the central government and local self-government and active participation of health consumer to health service are needed in Korea, The role of the health personnel is to elicit, facilitate and maintain health promoting behavior with his and her assurance for health consumers being competent and supported in the voluntary choice of their health promoting activities. The health promoting activities such as the above mentioned will be produce escalation of their life Quality among Koreans.

• Journal of Digital Convergence
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• v.15 no.5
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• pp.411-417
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• 2017

This study investigated the effects of meaning of life and depression on the health-promoting behaviors of community-dwelling elderly people, as well as the effects of community programs on their depression, meaning of life, and health-promoting behaviors. Collected data were analyzed by ANOVA, paired t-test through SPSS/WIN 18.0 program. The demographic characteristics, depression, meaning of life, and health-promoting behaviors of the participants were analyzed using descriptive statistics that calculated real numbers and percentages. The participating in community programs resulted in a decrease in depression(t=2.379, p=.010) and significant increase in meaning of life(t=2.421, p=.009) and health-promoting behaviors(t=2.316, p=.012) and recognized the importance of community role for healthy old age. Based on this, we propose active participation of the community for the health of elderly people and development of programs suitable for the subjects.

• Korean Journal of Health Education and Promotion
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• v.24 no.2
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• pp.77-91
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• 2007

Purpose: The purpose of this study was to investigate the relationship among health behavior, obesity and QOL, and to identify factors affecting QOL of University Students in rural area, to provide the basic data for health promoting program in order to improve the QOL. Methods: The subjects of this study were 991 university students. The collected data was analyzed using descriptive statistics, t-test, ANOVA, Scheffe's test, Pearson correlation coefficient and Stepwise multiple regression with SAS. Results: In the degree of the obesity were 13.4% of the underweight group, 48.9% of the normal weight group, and 37.6% of the overweight group. The average item score for the QOL was 3.19; the highest score on the subscale was physical domains(M=3.25) with the lowest environmental domains. In the degree of health behavior performance were 15.3% of regular health check, 27.5% of exercise, 45.1% of no-smoking, 32.4% of no-drinking alcohol, 53.1% of sleeping 7-hour, 49.7% of weight care, 56.1% of stress management, and 44.4% of breakfast. The score of QOL was statistically significant difference according to age, occupation of father, the number of brothers, total income, level of life, perceived health status, and admission of hospital. The score of QOL correlated positively with health behavior(r=.2521, p<.0001), and the scores of health behavior correlated positively with obesity(r=.0915, p=.0039). Stepwise multiple regression analysis for QOL revealed that the most powerful predictor was level of life. Stress management, perceived health status, sleeping 7-hour, regular health check, admission of hospital, total income, and weight care explained 13.2% of the variance. Conclusions: Therefore, it is necessary to develop health behavior promotion program in order to enhance the quality of life of university students. Future studies need to be pursued to find significant influencing factors for QOL of university students.

• Korean Journal of Occupational Health Nursing
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• v.12 no.2
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• pp.110-122
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• 2003

Purpose: The purpose of this study is to make a systemic assessment on the level of self-efficacy, social support, and accessibility to medical services, health status, health promoting behaviors, and the quality of life of workers in small scale enterprises. RECEDE model developed by Green and Kreuter for the purpose of a comprehensive assessment research was used. Method: The number of subjects was 199 workers in small scale enterprises at Youngdeungpo-gu and Sungdonggu, Seoul. Data were collected between October and December, 200 through a self-reported questionnaire. And data were analyzed by descriptive statistics, t-test, and F-test. Result: 1. The level of quality of life was 3.08, and general health status was 2.75. There was no significant difference by sex, age, marital status, job, and perceived health status. 2. The level of health promotion life style was 2.09. There was no significant difference by sex, age, marital status, and job. But there was significant difference by perceived health status. 3. The level of self-efficacy, social support and accessibility to medical services were 3.04, 2.85, and 1.45. Conclusion: The results of this study suggest that it is necessary to develop the systematic health promotion programs that can strengthen self-efficacy and health status, and supplement social support and accessibility to medical services, and to encourage health promoting behavior in order to improve quality of life for workers in small scale enterprise.

• Korean journal of health promotion
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• v.18 no.4
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• pp.159-168
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• 2018

Background: Strategically improving health-related quality of life (HRQOL) should be discussed among overweight middle-aged women who are vulnerable to low HRQOL. We examined firstly if overweight middle-aged women would have significantly lower levels of HRQOL and health-promoting behaviors than normal-weight middle-aged women, and to examine secondly if health-promoting behaviors would be significantly associated with generic and obesity-specific HRQOLs within the overweight middle-aged women. Methods: We conducted a cross-sectional, comparative study. Participants were 119 women aged 30-49 years who were recruited from a community in Seoul, South Korea; 63 women for the overweight group who were recruited from a baseline sample of the Community-Based Heart and Weight Management Trial, while 56 for the normal-weight group who were recruited separetely. Health Promoting Lifestyle Profile II (HPLP II), World Health Organization Quality of Life-brief version (WHOQOL-BREF) of a generic HRQOL measure, and Impact of Weight on Quality of Life-Lite (IWQOL-Lite) of an obesity-specific HRQOL measure were used. Results: Compared to the normal-weight group, the overweight group showed significantly lower scores of total WHOQOL-BREF as well as some HPLP II subscales including stress management (P=0.029). Among the HPLP II subscales, stress management was significantly and positively associated with total WHOQOL-BREF (${\beta}=1.58$, P=0.003) and self-esteem IWQOL-Lite (${\beta}=11.58$, P=0.034) among the overweight group. Conclusions: Among middle-aged overweight women, low levels of health-promoting behavior for stress management were shown, which should be strategically increased for improving their generic and obesity-specific HRQOLs.

• Asian Oncology Nursing
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• v.11 no.2
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• pp.136-146
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• 2011

Purpose: The purpose of this study was to examine the effects of self-efficacy promotion programs on self-efficacy, self-care behavior, and quality of life in breast cancer patients receiving radiation therapy. Methods: This study was conducted from November 1, 2009 to December 10, 2010. A total of 39 breast cancer patients, who received radiotherapy in a University hospital located in city B, participated in the study and were divided into two groups (experimental group 17 and control group 22). The data were analyzed with the ${\chi}^2$-test and ANCOVA using the SPSS/Win 17.0 program. Results: Self-efficacy promotion programs aimed at self-management were effective in enhancing concrete self-efficacy but not effective in promoting general self-efficacy, self-care behavior, and quality of life among breast cancer patients who have received radiotherapy. Conclusion: Organizing a support group for the breast cancer patients seems to be highly necessary to help themselves obtain higher level of specific self-efficacy, self-care behavior, and quality of life in general. It will also be beneficial for the breast cancer patients to understand their unique situations and improve their health problems for themselves.

• Women's Health Nursing
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• v.17 no.4
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• pp.337-345
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• 2011

Purpose: The purpose of this study is to examine the impact of type D personality on health status and health promoting behaviors in middle-aged women. Methods: A cross-sectional study design was used with 220 middle aged women. All participants completed 3 measuring tools: a 14-item Type D Personality Scale, a 12-item Short Form Health Survey Questionnaire version 2, and Health Promoting Lifestyle Profile-version II. All were completed in November 2010. Results: The prevalence of type D personality was 34.5%. Type D women had significantly lower physical (p=.020) and mental health status (p<.001) compared with non-type D women. In addition Type D women reported significantly poorer performance of health responsibility (p=.015), physical activity (p=.001), nutrition (p=.027), spiritual growth (p<.001), interpersonal relations (p<.001) and stress management (p<.001) techniques in health behaviors than non-type D women. Conclusion: Type D personality is a vulnerability factor that affects health status and is associated with poor health promoting behaviors in middle aged women. Therefore, screening for Type D personality is important to detect women at risk for health status and quality of life in community settings in Korea.

• Journal of agricultural medicine and community health
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• v.35 no.4
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• pp.370-382
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• 2010

Objectives: The purpose of this study was to investigate the level of health promoting behaviors and the significant factors in rural elderly(young-old vs old-old). Methods: The data was collected using structured questionnaires from June 22th to Sep. 18th, 2009. A total of 556 elderly aged 65 years or over were selected from 14 rural districts in C province, South Korea. Age was divided into two groups as below 65-74 and 75 or older. A structured questionnaire was used to obtain information on the demographic characteristics, their perceived health status, the difficulty of activities of daily living, quality of life, self-efficacy and health promoting behaviors. The health promoting behaviors included nutrition, stress management, interpersonal support, exercise, health responsibility and self-actualization. The scores for health promoting behaviors were used mean and standard deviation. The data was analyzed using SPSS Win 12.0. Results: Of the 556 subjects, we found that the young-old(65-74 aged) were 359 and the old-old elderly(over 75 aged) were 197. We found that the level of health promoting behavior was higher for young-old ($2.75{\pm}0.374$) compared to old-old elderly people ($2.67{\pm}0.399$). In multiple linear regression, quality of life, self-efficacy, living with spouse, and number of generation living together for the young-old, and quality of life for old-old elderly were significantly associated with health promoting behaviors. Conclusions: The study findings indicate that there are age differences in associated factor of health promoting behaviors. Therefore our findings may provide useful assistance in developing effective intervention programs to improve health promoting behavior of the elderly in rural areas according to their age differences.