• 근관절건강학회지
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• 제19권3호
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• pp.362-372
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• 2012

Purpose: The purpose of this study was to identify the predictive factors on quality of life (QOL) in the urban residents by age. Methods: A cross-sectional descriptive design was used. A total of 592 urban residents, ages of 20 to 59, completed a self-reported questionnaire including WHO QOL Scale-Brief (WHOQOL-BREF), Health Promoting Life Style Profile II (HPLP), Personal Competence of Health Care Scale (PCHC), and self-efficacy scale. Data were analyzed with descriptive statistics, t-tests, ANOVA, Pearson's correlation coefficients, and multiple regressions by SPSS 18.0. Results: The mean scores were 53.71 in QOL, and subscales were 14.41 in physical health, 13.31 in psychological, 13.87 in social relationship, and 12.12 in environment. There were significant differences by age groups, gender, education, family income, job, and present illness in QOL. QOL were significantly associated with HPLP, PCHC, and self-efficacy. The results of multiple regression indicated that HPLP, PCHC, marital state, and self-efficacy in the 20s, HPLP, self-efficacy, age, marital state, religion, and PCHC in the 30s, HPLP, PCHC, self-efficacy, and family income in the 40s, and HPLP, PCHC, self-efficacy, and gender in the 50s were statistically significant in predicting QOL. Conclusion: It is important to develop distinct programs by age for improving of quality of life for adults.

• Journal of Preventive Medicine and Public Health
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• 제41권3호
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• pp.173-180
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• 2008

Objectives : The purposes of this study were to examine the health-related quality of life(HRQoL) and to identify its related factors for a group of rural adults. Methods : The study subjects were 1,901 adults who were aged 40-70 years and who were living in Naju City, Jeollanamdo. The sociodemographic characteristics, health-related behavior, health status and global self-rated health were collected for statistical analysis. The health-related quality of life was measured by the Euroqol EQ-5D instrument. The differences on the EQ-5D index between the groups were assessed with t-test, ANOVA and hierarchical multiple regression analysis. Results : Overall, the mean value of the EQ-5D index was $0.884{\pm}0.140$ and this score was significantly different according to the socioeconomic characteristics, the health-related behavior, the health status and the global self-rated health. According to the results from the hierarchical multiple regression analysis, the HRQoL was significantly reduced for females, older subjects, and other subjects with no spouse and the subjects with osteoporosis, obesity, mental distress or poorer global self-rated health. Conclusions : The HRQoL for rural adults was related to the socioeconomic characteristics, the health status and the global self-rated health, A better understanding of the factors related to the HRQoL would help to improve the rural adults' quality of life.