萧条(经济学)
老人忧郁量表
印度尼西亚语
医学
横断面研究
逻辑回归
非概率抽样
痴呆
多元分析
老年学
环境卫生
精神科
抑郁症状
认知
人口
病理
疾病
经济
宏观经济学
哲学
内科学
语言学
作者
Bayu Anggileo Pramesona,Surasak Taneepanichskul
标识
DOI:10.1016/j.npbr.2018.04.004
摘要
The burden of depressive elderly is high globally. However, nursing home-based studies on prevalence and risk factors of depression are scarce due to feasibility and difficulties in data collection. This cross sectional study was conducted at three nursing homes (NHs) in three districts in Yogyakarta province, Indonesia. A total of 181 elderly NH residents aged ≥60 were recruited purposively. Information regarding socio-demographics, health-related characteristics and social support among respondents were collected by a modified questionnaire through face-to-face interviews. A short form Geriatric Depression Scale (GDS) Indonesian version was employed to assess levels of depression. Multivariate logistic regression was used to analyze the data. Overall, the prevalence of geriatric depression was assessed to be at 42.5% (31.5% in women and 11% in men). Risk factors that were found to be significantly associated with depression in the univariate analysis were female, none or lack of social support, had ≥3 chronic diseases, and perceived inadequacy of care. In the multivariate analysis, perceived inadequacy of care remained significant risk factor for depression amongst the elderly NH residents. Besides a number of important variables were determined by self-report, the used sampling technique was purposive. In addition, the elderly who had severe cognitive impairment or dementia and were not able to communicate meaningfully were excluded from this study. The prevalence rates of depression were relatively high among elderly NH residents in our study area. Adequate health services are needed in order to reduce the risk of depression among elderly NH residents.
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