Tsaras Konstantinos, Tsiantoula Maria, Papathanasiou Ioanna V, Papagiannis Dimitrios, Chatzi Maria, Fradelos Evangelos C
Department of Nursing, University of Thessaly, Larissa, GRC.
Department of Welfare, Municipality of Larissa, Larissa, GRC.
Cureus. 2021 Mar 18;13(3):e13965. doi: 10.7759/cureus.13965.
Objective The aim of this study was to examine associated factors of depression and insomnia in community-dwelling elderly people in order to identify independent predictors. Materials and methods A cross-sectional study was conducted among 250 older people aged 60 years and over living in an urban area. A stratified random sampling method was used for recruiting samples from five Open Care Centers for Elderly People of the Municipality of Larissa, Greece. Data were obtained through a questionnaire that included demographic, socioeconomic, and health-related characteristics, 15-item Geriatric Depression Scale (GDS-15), and Athens Insomnia Scale (AIS). Simple and multiple logistic regression analysis was performed. Results The prevalence of depression and insomnia was 28.4% (95% CI: 22.9-33.9) and 39.2% (95% CI: 33.0-45.4), respectively. Our findings showed that the overall GDS-15 score was positively related to the overall AIS score ( = 0.405; < 0.001). The best-fit regression analysis demonstrated four significant predictors (marital status, monthly income, body weight status, and insomnia) explaining 31.6% of the variance in depression risk. Moreover, community-dwelling elderly Greek people with insomnia symptoms were females, had a lower monthly income, and more likely to suffer from chronic diseases and depression. Conclusion These findings point to the importance of recognizing risk factors for both depression and insomnia in attempting to apply preventive interventions in the elderly and optimize their quality of life.
目的 本研究旨在探讨社区居住老年人抑郁和失眠的相关因素，以确定独立预测因素。材料与方法 对居住在希腊拉里萨市市区的250名60岁及以上老年人进行了一项横断面研究。采用分层随机抽样方法从希腊拉里萨市的五个老年人开放式护理中心招募样本。通过一份问卷获取数据，问卷包括人口统计学、社会经济和健康相关特征、15项老年抑郁量表（GDS - 15）和雅典失眠量表（AIS）。进行了简单和多元逻辑回归分析。结果 抑郁和失眠的患病率分别为28.4%（95%置信区间：22.9 - 33.9）和39.2%（95%置信区间：33.0 - 45.4）。我们的研究结果表明，GDS - 15总分与AIS总分呈正相关（ = 0.405； < 0.001）。最佳拟合回归分析显示有四个显著预测因素（婚姻状况、月收入、体重状况和失眠）可解释抑郁风险方差的31.6%。此外，有失眠症状的希腊社区居住老年人为女性，月收入较低，更易患慢性病和抑郁。结论 这些发现表明，在试图对老年人实施预防干预并优化其生活质量时，认识到抑郁和失眠的风险因素具有重要意义。
