Objectives: The purpose of this study was to investigate the effects of health status and health behaviors on health-related quality of life in Korean adults. Methods: The study was based on the 2017 National Health and Nutrition Survey. Of the total 8,127 people, 5,780 (71.1%) participated: 2,553 (44.2%) were male and 3,227 (55.8%) were female. The variables for this study were demographic factors, disease count, subjective health status, health behaviors, and health-related quality of life (measured by the EQ-5D Index). Results: After analysis, the statistically significant factors associated with health-related quality of life were gender, age, income, education, daytime health status, number of comorbidities (6 or more) and stress. Conclusions: Seven demographic factors have been identified as having a significant impact on health-related quality of life, categorized by model, gender, age and income. Therefore, it is possible that quality of life can be improved through proactive management and by improving subjective health status and health behaviors while in considering of demographic and sociological factors by providing indicators as per gender and age.
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.
Objectives: This study aimed to identify the relationships of oral and systemic health-related characteristics with health-related quality of life (EQ-5D) in the elderly, and factors related to quality of life were compared according to age subgroups classified as either younger (young-old) or older (old-old) than 75 years of age. Methods: Data acquired by the Sixth Korean National Health and Nutrition Examination Survey(KNHANES) from 2013 to 2015 were used, and the research target was 3,124 people aged 65 years or older. A complex samples general linear model was used to identify health-related quality of life factors. Results: Education, economic activity, depression, stress, regular walking, self-rated oral health, pronunciation problems, and unmet dental care had significant effects on quality of life in both young-old and old-old participants. Marriage, income, number of systemic diseases, sleeping, and chewing inconveniences were significant factors for the young-old but not in the old-old participants. Instead, obesity and drinking were identified as significant factors in the old-old participants. Conclusions: We reaffirmed that factors affecting health-related quality of life in older adults differed by age group. We also confirmed the impact of oral health-related characteristics on this quality. Therefore, to improve quality of life for older adults, it would be efficient to divide groups by age and develop and implement programs that take relevant factors into consideration.
Purpose: This study was conducted to investigate the degree of dry mouth and oral health-related quality of life and to identify factors contributing to oral health-related quality of life for community-dwelling elders. Methods: A descriptive correlational study design was used. Participants were 156 older adults from two senior welfare centers. Data were collected on February 21, 22 and 29, 30, 2009 using structured questionnaires. Enter type multiple regression analysis was used to identify factors influencing oral health-related quality of life according to general and oral health characteristics. Results: There were significant differences in oral health-related quality of life according to living arrangement, insurance, smoking, number of natural teeth, and denture type. The oral health-related quality of life had significant correlations with the number of chronic disease, number of medications, and dry mouth. Factors influencing oral health-related quality of life for community-dwelling older adults were dry mouth, number of chronic disease, and medical aid, which explained about 47.9% of total variance. Conclusion: These results indicate that in order to promote oral health-related quality of life for older adults, prevention or management of chronic diseases as well as oral health and dry mouth are needed for this population, and especially economically poor elders.
Purpose: The purpose of this research was to identify factors that influence health-related quality of life of patients who have had knee or hip arthroplasty. Factors included sleep disorders, pain, activities of daily living, and depression. Methods: The participants in this research were 97 patients within one year after receiving knee or hip arthroplasty surgery and who regularly visited a hospital outpatient department. Data were analyzed using descriptive statistics, t-test, ANOVA, and stepwise regression analysis with the SPSS program. Results: Sleep disorders, pain, activities of daily living, and depression had significant correlations with health related quality of life. Factors influencing health-related quality of life among arthroplasty patients were the length of time since surgery, sleep disorders, activities of daily living, and depression. These factors explained 58% of the participants' health-related quality of life. Conclusion: The results show that various factors can affect patients' health-related quality of life following joint replacement surgery. The findings indicate that sleep disorders and depression should receive continued attention after the arthroplasty. It is also necessary to develop appropriate nursing intervention programs to lower depression and increase patient participation in daily living activities.
Purpose: The purpose of this study was to investigate factors related to the levels of health-related quality of life (HRQoL) in elderly women based on Wilson and Cleary's HRQoL model. Methods: This study analyzed data from the eighth Korea National Health and Nutrition Examination Survey 2019 on 868 women over the age of 65 years. Based on the HRQoL model, parameters were categorized as personal, environmental, and physiological characteristics; symptom status; functional status; and perception of health status. The data were analyzed by quantile regression. Results: The overall level of HRQoL was 0.87. Factors related to HRQoL in the 10% quantile were higher education level, higher economic status, economic activity, more walking days, fewer diseases, lower stress, less activity limitation, and higher perceived health status. Factors related to the 25% quantile of HRQoL were more walking days, fewer diseases, less activity limitation, and higher perceived health status. Factors related to the 50% quantile were age, economic activity, more walking days, fewer disease, lower stress, less activity limitation, and higher perceived health status. Factors related to the 75% quantile of HRQoL were smoking, more walking days, fewer diseases, lower stress, less activity limitation, and higher perceived health status. Conclusion: While differing parameters were identified according to the level of HRQoL of elderly women in Korea, there were five common factors. Interventions that focus on increasing walking, mitigating diseases, stress, and activity limitations, and improving perceived health status can improve HRQoL.
Objectives: The present study was intended to assess the mental health of nurses working for university hospitals and to establish which factors determine their mental health. Methods: Self-administered questionnaires were given to 1,486 nurses employed in six participating hospitals located in Daejeon City and Chungnam Province between July 1 st and August 31st, 2006. The questionnaire items included sociodemographic, job-related, and psychosocial factors, with job stress factors (JCQ) as independent variables and indices of mental health status (PWI, SDS and MFS) as dependent variables. For statistical analysis, the Chi-square test was used for categorical variables, with hierarchical multiple regression used for determining the factors effecting mental health. The influence of psychosocial and job-related factors on mental health status was assessed by covariance structure analysis. The statistical significance was set at p<0.05. Results: The factors influencing mental health status among subject nurses included sociodemographic characteristics such as age, number of hours of sleep, number of hours of leisure, and subjective health status; job-related characteristics such as status, job satisfaction, job suitability, stresses such as demands of the job, autonomy, and coworker support; and psychosocial factors such as self-esteem, locus of control and type A behavior patterns. Psychosocial factors had the greatest impact on mental health. Covariance structure analysis determined that psychosocial factors affected job stress levels and mental health status, and that the lower job stress levels were associated with better mental health. Conclusions: Based on the study results, improvement of mental health status among nurses requires the development and application of programs to manage job stress factors and/or psychosocial factors as well as sociodemographic and job-related characteristics.
Objectives : The purpose of this study was to examine the awareness-perception factors and oral health promotion behavior of dental hygiene and nonhealth-related students in an effort to find out factors affecting their oral health promotion behavior. Methods : The subjects in this study were students in the three-year-course dental hygiene and students in the two-year-course nonhealth-related department in G college located in the city of Gwangju. After a survey was conducted, the collected data were analyzed and compared. Results : 1. The dental hygiene students were statistically significantly ahead of the nonhealth-related students in perceived oral health knowledge(p<0.001), awareness of the importance of oral health(p<0.001), perceived oral health status(p<0.001) and oral health interest(p<0.001). 2. Concerning the characteristics of oral health promotion behavior, the dental hygiene students were statistically significantly better at toothbrushing(p<0.001) and the use of dental floss(p<0.001) than the nonhealth-related students. 3. Regarding factors affecting oral health promotion behavior, oral health knowledge and oral health interest were identified as the factors that impacted on oral health promotion behavior. Out of the two, oral health interest exercised a greater influence on that. Conclusions : It seems that oral health education could motivate students to be concerned about their oral health, to acquire knowledge on that and eventually to change their oral health behavior and attitude. As for college students, oral health education provides a final chance for them to check their oral health knowledge, attitude and oral health promotion behavior before they start to work as full-fledged adults, and institutional measures should be taken to offer more intensive official oral health education.
Objectives: The aim of this study was to examine factors influencing health-related quality of life in women workers using the dataset of the Korean National Health and Nutritional Examination Survey(KNHANES 2th). There were 955 subjects. Methods: A multiple regression model was used to study the factors influencing health-related quality of life of women workers. Results: A positive relationship was found between education(b=0.014, p=0.029) and health-related quality of life in women workers and non-osteoarthritis(b=0.037, p<0.001) and health-related quality of life in women workers. Conclusions: The results of this study show the importance of improving the working environment and preventing osteoarthritis in non-regular employment.
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.
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