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- W2023756231 abstract "Purpose: This study was conducted in order to identify factors that influence depression for low-income elderly who live at home from the International Classification of Functioning model (ICF). Methods: The subjects were 205 elderly people living at home in two public health centers located in metropolitan cities. Subjects were divided according to their depression scores, which were measured using the GDS-short form, including normal, risk, and depression groups. Each variable was consistent with factors of the ICF model, including health condition, individual factors, environmental factors, body function, activities, and participation. Data were collected using structured questionnaires. ANOVA, <TEX>$x^2$</TEX>, Pearson's correlation coefficient, and Multinomial logistic regression with IBM SPSS 21.0 were used for analysis of the data. Results: Statistically significant differences were observed among normal, risk, and depression groups regarding personal factors. Gender, education level, numbers of diseases, perceived health, life satisfaction, and social support were identified as the variables that had a significant impact on depression of low-income elderly living at home. Conclusion: Results of this study indicate that there is a need for construction and implementation of strategies that strengthen life satisfaction and social support in order to lower depression of low-income elderly." @default.
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- W2023756231 date "2014-08-31" @default.
- W2023756231 modified "2023-10-14" @default.
- W2023756231 title "Factors Influencing Depression in low-income Elderly living at home based on ICF model" @default.
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- W2023756231 doi "https://doi.org/10.5932/jkphn.2014.28.2.333" @default.
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