• Journal of the Korea Convergence Society
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• v.12 no.6
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• pp.49-56
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• 2021

This study aimed to identify the factors affecting the health-related quality of life in terms of periodontal disease by using the data from 8,035 respondents aged ≥40 years, excepting those with cancers having an serious impact on the quality of life, in the seventh Korea National Health and Nutrition Examination Survey (KNHANES) (2016-2018). The risk of quality of life deterioration was 1.32 times higher in the periodontal disease group than in the healthy periodontal group, those who were ≥50 years of age and had ≥2 comorbidities showed lower quality of life in the periodontal disease group. These results have confirmed that adults with periodontal disease get aware of the adverse quality of life though they have only a few chronic conditions and are expected to be useful as basic data necessary to develop health promotion programs that can help prevent periodontal disease and improve the health-related quality of life for adults.

• Journal of the Korea Convergence Society
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• v.10 no.10
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• pp.59-66
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• 2019

This study was conducted to investigate correlation between oral health belief and oral health-related quality of life (OHIP-14) based on oral health education experience. A survey was conducted on adults living in Busan, Ulsan, and Gyeongnam region. Collected data was analyzed using SPSS 25.0. As a result, adults with oral health education experience had significantly higher scores in subfactors of oral health belief and subfactors of oral health-related quality of life than adults without oral health education experience. There were correlations between factors in oral health education experience, oral health belief, and oral health-related quality of life. Therefore, operating oral health education program by life cycle will promote oral health as well as will help to enhance the importance and necessity of oral health education by improving quality of life.

• Journal of dental hygiene science
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• v.18 no.4
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• pp.234-240
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• 2018

The purpose of this study was to provide basic data on counseling, education, and treatment related to orthodontic practices through an understanding of the relationships between orthodontic treatment, oral health-related quality of life, and happiness of high school students. The subjects in this study were 500 students in Grades 1~3 of a high school in Jeollabuk-do. We conducted a survey targeting this group; the results revealed the following: in the social support item, peer support showed significant differences in the matter of orthodontic treatment (p<0.05). In oral health-related quality of life, the students without orthodontic treatment showed 14.09 scores that were higher than the students with treatment (p<0.05). Regarding happiness, the students with orthodontic treatment showed higher scores which were significantly different from the those of the non-orthodontic treatment group (p<0.05). Additionally, upon examining the correlations between self-esteem, social support, oral health-related quality of life, and happiness, oral health-related quality of life, peer support, and happiness showed the negative (-) correlations while the rest of the variables showed the positive correlations (p<0.05). The factors having effects on oral health-related quality of life included the stress, matter of orthodontic treatment, and teachers support (p<0.05). The factors having effects on happiness included self-esteem, peer support, and family support (p<0.05). Based on the above results, even though dental orthodontic treatment had negative effects on oral health-related quality of life, it had positive effects on happiness. Consequently, it would seem necessary to seek active methods to increase oral health-related quality of life. This improvement could be achieved by minimizing inconveniences, such as mastication, in the process of dental orthodontic treatment, and developing programs that could enhance happiness.

• Journal of the Korean Data and Information Science Society
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• v.28 no.3
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• pp.547-557
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• 2017

The health-related quality of life data are commonly skewed and bounded with spike at the perfect health status, and the variance tended to be heteroscedastic. In this study, we have developed a prediction model for EQ-5D using linear regression model, beta regression model, and extended beta regression model with mean and precision submodel, and also compared the predictive accuracy. The extended beta regression model allows to model skewness and differences in dispersion related to covariates. Although the extended beta regression model has higher prediction accuracy than the linear regression model, the overlapped confidence intervals suggested that the extended beta regression model was superior to the linear regression model. However, the expended beta regression model could explain the heteroscedasticity and predict within the bounded range. Therefore, the expended beta regression model are appropriate for fitting the health-related quality of life data such as EQ-5D.

• Journal of Digital Convergence
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• v.12 no.1
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• pp.501-510
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• 2014

Purpose: The purpose of this study was to compare urban-rural differences on influencing factors of health related quality of life(HRQoL) of the elderly in senior center. Methods: The subjects were 902 older adults (571 from urban areas, 331 from rural areas). Data were collected using a questionnaire from 20 July to 31 August, 2011. The SPSS/WIN program was used for data analysis. Results: For older adults of urban areas, the influencing factors of HRQoL were depression, age, subjective health, drinking, number of chronic disease, and smoking. On the other hand, the influencing factors of HRQoL of older adults of rural areas were depression, subjective health, number of chronic disease, and educational level. The significant factors of HRQoL were depression, subjective, and number of chronic disease in both urban and rural areas. Conclusion: Public health nurses should consider urban-rural differences when designing HRQoL enhancing program for the elderly in senior center.

• Journal of Digital Convergence
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• v.17 no.8
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• pp.453-463
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• 2019

The purpose of this study was to investigate one-person household its health-related quality of life(HRQOL) using data from the seventh Korea national health and nutrition examination survey(KNHANES Ⅶ-2) 2017. The subjects were 301. The data were analyzed by frequency, descriptive analysis and linear regression analysis using SPSS complex samples Win 25 program. The HRQOL score was 0.92, and 2.5% of the subjects in the pain and discomfort area had severe problems. HRQOL related to the subject was 0.034, 0.039, and 0.031, respectively, when the household income level was lower, the education level was lower than elementary school graduates, and if they did not drink at present. HRQOL was 0.072, 0.065, 0.103, and 0.040 in perceived health status good or moderate, the absence of activity limitation and arthritis, was explained 43.1%. There is a need to develop interdisciplinary approaches with great interest in improving the one-person households HRQOL.

• Journal of Korea Entertainment Industry Association
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• v.15 no.3
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• pp.279-287
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• 2021

The purpose of this study is to analyze the changes of the cognitive function and health-related quality of life. Study subjects were 35 elderly living alone and they participated in the cognitive program for 8 weeks regularly. The assessment of cognitive function was used by the Loewenstein occupational therapy cognitive assessment battery and the orientation, visual attention, spatial perception, motor praxis, visuomotor organization, thinking operation, and attention. The assessment of health-related quality of life was used by the Short form-8 health survey and the gerneral health condition, physical function and role, pain, vitality, social function, mental health, and emotional role. As the results, all the results of variables showed the statistically significant increase after the participation in the cognitive program. To improve the cognitive function and health quality of life of the elderly living alone, the participation in the cognitive program should be considered.

• The Journal of the Korea Contents Association
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• v.18 no.8
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• pp.616-626
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• 2018

This study aimed to comprehensively assess the demographic characteristics, health behaviors, subjective health status, health-related restriction of life, and quality of life of male and female elderly aged 65 years older using data from the 2013-2015 Korean Community Health Survey (KCHS). The results showed that compared to the male elderly, the female elderly was less educated, did not have a spouse or had less household income, had poorer health behaviors, and had lower quality of life caused by restrictions in life. The female elderly had significantly lower quality of life than that of the male elderly. Various factors were found to affect quality of life in both sexes. The presence of spouse and BMI did not affect quality of life of men but did affect the quality of life of women. On the other hand, smoking affected the quality of life of men but not of women. Based on these results, more in-depth studies are needed on the female elderly, who have been reported to have lower health-related quality of life, and sex-specific services and programs that could more effectively improve the quality of life among the elderly should also be developed.

• Journal of Digital Convergence
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• v.18 no.8
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• pp.301-310
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• 2020

The purpose of this study was to provide data to develop the nursing intervention program to improve the quality of life by identifying the factors affecting the quality of life in patients with herpes zoster. The data were collected in 141 patients with herpes zoster from September 1 to December 31, 2016 and analyzed by multiple regression analysis using SPSS/WIN 23.0. As a result, the pain level of the herpes zoster was 5.23±2.11, the perceived health status was 3.35±1.04, the self efficacy was 66.36±10.79, the family support was 42.093±8.68, the social support was 59.80±20.42. And the health related quality of life was 74.12±5.73 points. Affecting factors influencing the quality of life of the subjects were perceived health status, Living with family status, and the explanatory power of these variables was 39.0%. Therefore, the health-related quality of life of patients was increased according to positive perceived health status Based on this study, in order to improve the quality of life of patients with herpes zoster, it is necessary for the nurse to arrange a proper mediation plan that can help the positive health condition perception of the patients. It is necessary to develop an effective nursing intervention program based on the influencing factors confirmed in this study.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.5
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• pp.411-422
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• 2021

The purpose of this study is to examine the relationships between quality of life and demographic characteristics and health-related behavioral characteristics, and their relevance to variables that represent health conditions among metropolitan-dwelling older adults. The study subjects were 380 senior citizens aged 65 or older living in the D metropolitan area, and data collection was conducted by visiting them for interviews in June 2019. A binomial logistic regression analysis was performed to examine the relationship between independent variables (demographic characteristics, health-related behavioral characteristics, health condition variables) and the dependent variable (quality of life) while controlling for gender and age. As a result, the factors related to quality of life for those surveyed were education level, spousal status, living status, bear for living expenses, average monthly allowance, satisfaction with daily life, evaluation of sleep quality, smoking and eating habits, amount of regular exercise, hobbies, subjective health status, physical disability (if any), hearing ability, visual acuity, mastication ability, urinary incontinence (present or not), and amnesia. The above results suggest that quality of life for the elderly living in urban areas is significantly related to variables that indicate demographic characteristics, health-related behavioral characteristics, and health condition.