Purpose: The purpose of this study was to investigate the factors that influenced health related quality of life in women with disabilities. The other purpose was to examine the correlations of activities of these women's daily life, self esteem, and health promoting behavior with health related quality of life. Method: The subjects consisted of 120 adult disabled women. Data was collected from February to June 2004 using structured questionnaires. Spearman's correlation, and multiple regression were used to test the quality of life with K-ADL, self esteem, and health promoting behaviors by using SPSS 12.0 for windows. Result: The health related quality of life of women with disabilities was related to educational level, marital status, residential type, cause of acquired disability and disability of spouse. In addition, it was related to self esteem (r=.385, p=0.00), health promoting behaviors(r=428, p=0.00), K-ADL(r=-419, p=0.00) and K-IADL(r=-439, p=0.00). Activities of daily life, self esteem and health promoting behaviors were significant predictors $37.3\%$ (=0.212, p=0.000) to explain quality of life in disabled women. Conclusion: The more self esteem, health promoting behaviors, K-ADL and K-IADL are positive, the more the health related quality of life is good. Further studies need to be done to investigate additional effects of health related quality of life and to investigate nursing approaches to improve their health related quality of life with significant predictors.
With change in the pattern of disease occurrence and increase in the interest in health, efforts to assess the health status on patients covering their subjective awareness at the same time as clinical and objective evaluation on health are continued. To measure health-related quality of life can be one of these efforts. This study was performed to evaluate the relevance of the quality of overall health-related-life and oral health condition. Also the second year (2014) materials in the 6th the National Health and Nutrition Survey were applied to this study. The factors affecting general health related quality of life measured by EuroQol-5 dimension (EQ-5D) have been confirmed by gender, age, education level, income level, private health insurance, perceived health status, toothache experience during the last 1 year, remaining tooth number. As oral health plays an important role in determining the overall health conditions, objective oral health state influences the whole body health. Hence, it can be regarded that oral health is ultimately related to the general health-related quality of life.
Objectives: The purpose of the study is to investigate the influence of self-control on stress management and oral health related quality of life in high school students. Methods: A self-reported questionnaire was completed by 422 high school students in Ulsan from December 1, 2014 to February 20, 2015. The study instrument consisted of stress and self-control. The stress instrument included 17 items modified by Kim and Lee. The self-control instrument was modified by Kim and had 20 items. Pearson's correlation analysis was conducted to analyze the relationship between stress, self-control and oral health related quality of life. Regression analysis was used to analyze the effect of the stress on oral heal related quality of life. Hierarchical regression analysis was done to analyze the control effect of self-control in the relationship between the stress and oral health related quality of life. Results: The higher stress level resulted in the lower oral heal related quality of life. The higher self-control maintained the higher oral health related quality of life. The higher long term pursuit of satisfaction led to higher oral health related quality of life. The immediate suppression of satisfaction had a positive influence on the higher oral health related quality of life. Conclusions: There were significant correlations in self-control on stress management and oral health related quality of life.
Purpose: This is a descriptive research to examine the level of health status, depression, and quality of life in the elderly, the relations among the factors. Methods: Subjects were 441 elders in Seoul and Gyung-gi province. Data were collected from July 10, 2006 to October 30, 2006. Measures were CMI, GDS, and SF-36. Data were analyzed by descriptive statistics, Pearson correlation coefficient, T-test, and ANOVA. Results: (1) The health status was the average of 1.75, which indicates being good. Depression was the average of 2.85, which indicate being high, and the quality of life was the average of 2.72, which indicate being moderately. (2) The relations indicate that the better status of health is related with the lower depression, and the better status of health is related with the higher quality of life, and the higher depression is related with the lower quality of life. (3) The health status, depression, and quality of life all showed significant differences according to age, education, past occupation, current occupation, dwelling pattern, monthly pocket money, living expense. Conclusion: for nursing intervention strategies, it are requested the special attention of the current occupation level and interpersonal relation ship in older people.
Journal of Korean Academy of Fundamentals of Nursing
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v.21
no.1
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pp.18-28
/
2014
Purpose: This study was done to apply Andersen's behavioral model to identify factors that determine oral health-related quality of life in elderly persons. Methods: Participants were 257 people ages 65 years or older. Data were analyzed using frequency, percentage, mean and hierarchical multiple regression. Results: The variables in the behavioral model, predisposing factors, enabling factors and need factors, explained 31% (F=12.7, p<.001) of variance in oral health-related quality of life. The predisposing factors, enabling factors, need factors and health behavior collectively explained 35% (F=9.22, p<.001) of variance in oral health-related quality of life. Factors influencing oral health-related quality of life in older adults were ADL and IADL, self-reported oral health status, xerostomia and dental care in last 12 months. Conclusions: The analysis results showed that the need factor had the highest level of relative importance of the three factors. The model used for this study can be used to predict oral health-related quality of life.
Objectives : The objective of this paper is to clarify the factors of the geriatric oral health influencing oral health-related quality of life by using the contracted OHIP-14 tool. Methods : This research conducted individual interview for 177 seniors using senior citizen center by using structured questionnaires. SAS(Ver.9.2) Program was used for the collected data to perform frequency analysis, reliability and scale analysis, t-test, ANOVA, correlation analysis and multiple regression analysis. Results : The oral health-related quality of life level related to oral health according to the demographical characteristics showed that it was better in case that they are younger, married, more educated and have more living expenses. Except for age, oral health-related quality of life was connected to scholastic achievement, living expenses, subjective health condition and subjective oral health condition. The factors influencing the oral health condition were subjective health condition, marriage, scholastic achievement, living expenses, age and sex. As the subjective health condition is better, in case of cohabitation of only a couple and as the age or scholastic achievement is higher and the living expenses are more, the oral health condition was better. The factors influencing oral health-related quality of life were subjective oral health condition, marriage, sex, subjective health condition, scholastic achievement and living expenses. As the subjective oral health condition and health condition were better and in case of sole living and cohabitation of only a couple, male's oral health-related quality of life was higher. Conclusions : It is considered that because the geriatric oral health condition becomes an important factor to oral health-related quality of life, the development of the geriatric oral health business and the geriatric heal education program to maintain and improve oral health is required and the activation of the oral health insurance policy for preventive dental service is necessary.
Journal of the Korean Applied Science and Technology
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v.37
no.5
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pp.1454-1464
/
2020
Study purpose is to analyze the changes in the level of self-efficacy, exercise commitment, and health related quality of life of the adults with intellectual disability through the swimming program participation. Study subjects were 12 adults with intellectual disability residing in a residential care facility and they participated in 12 weeks swimming program. Changes in the level of self-efficacy, exercise commitment, and health quality of life were analyzed. To measure self-efficacy, General Self-Efficacy Scale was used and the level of general, social and physical self-efficacy was measured. To measure exercise commitment, Exercise Commitment Scale was used and the level of cognitive and behavioral commitment was measured. To measure health related quality of life, Short Form-8 Health Survey was used and the level of general health quality of life was measured. As the results after the swimming program participation, the level of self-efficacy, exercise commitment, and health related quality of life of the subjects was statistically significant improved. Swimming program participation acts to positively improve the level of self-efficacy, exercise commitment, and health related quality of life of the adults with intellectual disability. Thus, the application of swimming program for them should be considered.
Objectives : This study was to investigate the level of health risk behavior, athletes stress, quality of life(WHOQOL-BREF) and oral health related quality of life(OHIP-14) and the clinical factors influencing quality of life in athletes Methods : Data were obtained from a cross-sectional survey of 202 university athletes. Data was obtained by means of questionnaire from October 11 to October 15, 2010. Health risk behaviors(Q-F index and smoking), athletes stress, WHOQOL-BREF and OHIP-14 were measured. The data was analysed with t-test, one-way ANOVA, Pearson correlation coefficient and multiple regression using the SPSS program. Results : The prevalence of alcohol drinking, smoking were 84.2% and 37.9%, respectively. Alcohol drinking and cigarette consumption were not related to quality of life though there were the negative correlation between athletes stress and quality of life. Powerful predictors of quality of life were athletes stress, OHIP-14 and perceived health for athletes. Conclusions : Based on the findings, quality of life has a significantly impact on athletes stress, OHIP-14 and perceived health. These results suggest that the implementation of health promotion program should be considered which was decreased athletes stress and was increased level of oral health and perceived health in athletes.
Journal of The Korean Society of Integrative Medicine
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v.11
no.3
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pp.35-47
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2023
Purpose : As the population aging deepens, the number of elderly people with arthritis is also continuously increasing. Accordingly, this study intended to identify the factors influencing the health-related quality of life (HINT-8) of the elderly with arthritis according to household type and provide baseline data for developing a measure to enhance the life quality of the elderly with arthritis. Methods : The factors influencing the health-related quality of life (HINT-8) of the elderly with arthritis were identified based on the raw data from the Korea national health and nutrition examination survey conducted in 2021. Data were analyzed with SPSS Statistics ver 25.0 for windows (IBM Corp), and the significance level (α) was set to .05. Statistical analysis was performed with t-test, ANOVA, multiple regression analysis, and post-hoc analysis with Duncan test. Results : The factors that influenced the health-related quality of life (HINT-8) of single-households were medical aid (β=-.17, p=.045), restriction of activity (β=-.17, p=.023), self-rated health status (β=.29, p<.001), and anxiety scale (β=-.36, p<.001). The factors that influenced the health-related quality of life (HINT-8) of multi-households were an age of 75 or over (β=-.14, p=.011), living in rural (β=-.14, p=.003), the outpatient department treatment experience (β=-.09, p=.047), self-rated health status (β=.26, p<.001), anxiety scale (β=-.29, p<.001), and stress (β=-.22, p<.001). Conclusion : Factors affecting the health-related quality of life (HINT-8) of the elderly with arthritis were found to be different between single-person households and multi-person household. Therefore, it is necessary to prepare measures to improve the quality of life of the elderly with arthritis by considering the factors influencing the health-related quality of life (HINT-8) of the elderly with arthritis according to the household type identified in this study.
Purpose: This study was to identify health-related quality of life of Korean young adults and elderly with multimorbidity and to examine factors influencing their health-related quality of life. Methods: Health-related quality of life was measured by the Korean version of the EQ-5D. Using a descriptive study, the study incorporated a secondary analysis of the Korean version of the EQ-5D data from the 8th wave of the Korea Health Panel Survey in 2013. Selected demographic data and the Korean version of the EQ-5D were analyzed using ${\chi}^2$-test, t-test, ANOVA and multiple regression analysis. Results: Education, drinking, type of health insurance, and number of chronic disease significantly affected the health-related quality of life in the young adults with multimorbidity. Educational level, occupational type, drinking, physical activity, number of chronic disease, unmet healthcare need and the type of multimorbidity significantly affected the health-related quality of life in the elderly with multimorbidity. Conclusion: The factors influencing health-related quality of life were different for young adults versus elderly with multimorbidity. Therefore, there is a need for age-specific health care programs that may improve health-related quality of life of adults with multimorbidity.
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