Objectives: The purpose of the study was to examine the influencing factors of oral health-related quality of life in adults. Methods: A self-reported questionnaire was completed by 300 adults in Seoul and Gyeonggido from June to July, 2015 by convenience sampling method. Except 19 incomplete answers, 281 data were analyzed by t test, one way ANOVA, Pearson's correlation coefficient analysis, and multiple linear regression analysis using SPSS 18.0 program. The questionnaire consisted of general characteristics of the subjects, health-related characteristics, whole body dry symptoms and subjective perception of dry mouth. The oral health-related quality of life was measured by Likert five points scale, and a higher score indicated a lower quality of life. Results: The oral health-related quality of life in adult varied by age, systemic diseases, oral health status, missing tooth, stress, decayed tooth, gingival disease. The oral health-related quality of life had positive correlations with the subjective perception of dry mouth and whole body dry symptoms. The subjective perception of dry mouth(${\beta}$=0.245) had the influence on the oral health-related quality of life, oral health status(${\beta}$=-0.209), gingival disease(${\beta}$=-0.151), and decayed tooth(${\beta}$=-0.146) in order. Conclusions: The oral health-related quality of life was closely related to the subjective perception of dry mouth and the oral health status. It is necessary to develop the quality of life improvement programs including oral health prevention and care program in the adults.
Objectives: The purpose of the study was to investigate the influencing factors of oral health-related quality of life in social workers. Methods: A self-reported questionnaire was completed by 240 social workers in Gwangju by convenience sampling method. The questionnaire consisted of general characteristics of the subjects(age, monthly salary, smoking, alcohol consumption) and systemic health condition(systemic diseases, medication, oral health status, and stress). The factors associated with oral health-related quality of life included skin dryness, eye dryness, lip dryness, and nasal dryness. The subjective dry mouth consisted of 6 questions measured by visual analogue scale(VAS). Cronbach's alpha was 0.868 in the study. The data were analyzed for t-test, one-way ANOVA and multiple regression analysis using SPSS 18.0 program. Results: The oral health-related quality of life in social workers varied by age, oral health status, stress status, and halitosis. The oral health-related quality of life had positive correlations with the subjective perception of dry mouth and whole body dry symptoms. The health status(${\beta}=-0.410$) had the influence on the oral health-related quality of life, nasal dryness(${\beta}=0.230$), age(${\beta}=0.189$), and halitosis (${\beta}=0.162) in order. Conclusions: The oral health-related quality of life was closely related to the health status and nasal dryness. It is necessary to develop the quality of life improvement programs including oral health prevention and care program in the social workers.
This study was undertaken to examine the degree of quality of life and to analyze the factors affecting those quality of life in middle-aged men. Method: The subjects of this study were 208 men aged by 35-55 from 3 business enterprises located in Seoul and Incheon. Data collection was conducted through the use of 5 questionnaire. Result: There were significant differences in the quality of life according to marital status, religion, educational level, number of children and total house income. A positive correlation was found between quality of life and all independent variables i.e., health promoting behaviors, health perception, social support, self-esteem and self-efficacy. Stepwise Multiple Regression Analysis revealed that the most powerful predictor was self-esteem. Self- esteem, health perception, health promoting behaviors, marriage, and social support accounted for 65% of the variance in quality of life in middle-aged men. Conclusion: All independent variables i.e., health promoting behaviors, health perception, social support, self-esteem and self-efficacy were related with quality of life in middle-aged men. Therefore it is necessary to develop the nursing intervention with these variables to increase the quality of life for middle-aged men.
Purpose: This study explored the factors influencing the health-related life satisfaction of people with disabilities who engaged in physical activity, by age and gender. Methods: A secondary analysis was conducted of the 2020 Third Disability and Life Dynamics Panel (2021). The participants were 2,796 people who performed regular physical activity at least once a week. The variables selected were disability-related factors (degree of disability, multiple disabilities, and type of disability), sociodemographic factors (age, gender, living alone, and mean monthly family income), and health-related factors (amount of physical activity, self-esteem, depression, chronic disease, subjective health, and health-related life satisfaction). Descriptive statistics, the chi-square test, the t-test, two-way analysis of variance, and multiple regression analysis were conducted. Results: In total, 58.0% of participants were male, and 42.0% were female. For age groups, 14.4% were children/adolescents (0-19 years), 42.6% were adults (20-59 years), and 43.0% were seniors (≥60 years). The mean score for health-related life satisfaction was 5.0±2.15 out of 10. Adults and seniors whose level of physical activity met or exceeded recommendations had higher subjective health. Moreover, men had better subjective health than women in seniors. Health-related life satisfaction was higher among those who had higher self-esteem, were not depressed, did not have chronic diseases, and had better subjective health. Conclusion: Gender significantly influenced health-related life satisfaction in children/ adolescents and seniors. Disability-related factors were significant in adults, and health-related factors were significant in all age groups. Therefore, these factors should be considered when designing interventions to promote subjective health and health-related life satisfaction of people with disabilities.
Purpose: This study was to examine the effect of perceived health status, sleep and depression on quality of life of older people in the elderly school. Methods: A cross-sectional descriptive study was conducted with a survey of 155 older persons in person 2 elderly school at J City. The data were analyzed with t-test, ANOVA, Pearson's correlation coefficients, and multiple regression using SPSS WIN 18.0 program. Results: The mean score of the quality of life was 8.10 (SD=8.79). Quality of life was significantly different by educational levels (F=4.711, p=.001). The result of the regression indicated that perceived health status, sleep, and depression explained 18.5% of variance in quality of life. Conclusion: Perceived health status, sleep and depression were associated with quality of life in the elderly. It is necessary to develop nursing strategies for the improvement of quality of life, considering health status, sleep, and depression in the elderly.
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.
The purpose of this study was to investigate the characteristics of health-related quality of life among the aged who have been living in one urban community. The number of participants was 167 of people who were 60 and over. health-related quality of life was measured by EQ-5D in Korean Version. The order of frequency of 5 domain in EQ-5D were pain/discomfort, mobility, anxiety/depression, usual activity, self care. 32 of profiles were found from the study participants, and '11111' among them was 28.7%. Mean of EQ-5D index was $0.82{\pm}0.14$. Multiple Regression analysis of health-related quality of life explained 31% of variance of health-related quality of life using EQ-5D. In this analysis, age, regular exercise, spouse were found to be predictors to health-related quality of life measured by EQ-5D. The finding of this study will be the basis of well organized model of health-related quality of life for the aged.
This study reports the relationship between life-style and physical, mental health status in college students. The questionnaire survey was carried out from September to October, 1991. The questionnaire included life-style, physical health condition centered on unhealthy habits and complaints about physical symptoms, and mental condition which was assessed by Zung's self-rating depression scale(SDS). Days absent from school during the last year in males(3.6) were significantly more than those in females (1.0). Days catching the common cold were more in females than in males. The amount of complaints and the SDS score were significantly higher in females than in males. In the relationship between physical and mental health status and individual health habits, abscence-days from school significantly correlated with regular life, snacking, physical exercise, smoking, drinking. The amount of complaints and the SDS score were significantly associated with regular life, regular meal-time, eating breakfast, nutritional balance and physical exercise. In the relationship between health practice index to health status, the group having good habits showed significantly less days catching the common cold, less complaints, less SDS score and less amount of stress. It was also shown that life-style correlated with physical and mental health status.
Purpose: This study was done to identify the relationship of malnutrition, social network and health-related quality of life and to investigate the main factors influencing health-related quality of life in elders. Methods: The research design was a descriptive survey design using a convenience sampling. Data were collected by self-report questionnaires from 196 elders. Data analysis was done using SPSS 18.0 pc+ program for descriptive statistics, Pearson correlation coefficients and stepwise multiple regression. Results: The average score for health related quality of life was 3.33 (SD=0.86). Differences in health-related quality of life were statistically significant according to age, gender, occupation, presence of spouse, monthly income, source of income, economic status, medicine, and existence of chronic disease. Health-related quality of life was significantly correlated with malnutrition and social network. Major factors affecting health related quality of life for elders were malnutrition, occupation, age, social network, and economic status which explained 52.0% of the variance in health related quality of life. Conclusion: Findings provide a basis for developing nursing interventions to improve health-related quality of life. Future studies are needed a wide variety of variables that might influence health -related quality of life in elders.
Objectives: This study examined the factors affecting the quality of life relating to oral health using OHIP-14 of college students. Also, this was to help college students to enhance their oral health. Methods: A Total of 334 self-administered questionnaires were collected from university student in Cheon-an. The statistical methods used for data analysis were the descriptive statistics, Independent samples t-test, One-way ANOVA, correlation analysis, multiple linear regression analysis. Results: First, A month pocket money and coffee consumption were significantly related to functional and physical Oral health foctor. Second, A month pocket money and coffee consumption were significantly related to Mental and social Oral health foctor. Finally, multiple linear regression analysis showed that a month pocket money, coffee consumption have a negative effect on the quality of life relating to oral health, Whereas an experience of oral health education a positive effect on this. Conclusion: Oral health related quality of life should be improved by investigating the factors affecting oral health and thus developing the program enhancing the oral health to prevent oral disease. In addition, in order to health promotion physical, mental, social, including the oral health, program development and research incessant must be carried out.
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