Insomnia among hospitalized elderly patients: Prevalence, clinical characteristics and risk factors
Insomnia among hospitalized elderly patients: Prevalence, clinical characteristics and risk factors
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DOI：
10.1016/j.archger.2010.03.001
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发表时间：
2011-03-01
影响因子：
4
通讯作者：
Zanocchi, Mauro
中科院分区：
文献类型：
--
作者：
Isaia, Gianluca;Corsinovi, Laura;Zanocchi, Mauro
失眠可以决定跌倒和事故、住院和养老院安置的增加。我们研究的目的是评估入住老年急性护理病房的老年住院患者睡眠障碍的患病率、临床特征和预测因素。这项纵向观察性研究连续招募了2007年1月1日至2007年6月31日间入住老年急性护理病房的65岁及以上患者。在住院时间(LOS)的第三天，患者被问及是否患有睡眠障碍。报告LOS前3天睡眠障碍的患者包括在研究中。对患者进行失眠、共病、自评健康、功能状态、认知障碍和疼痛的评估。在接受调查的280名受试者中，80人提到了LOS期间的睡眠障碍，患病率为36.7%。有睡眠问题的患者在累积指数评定量表严重程度指数(p=0.007)、数字评定量表(p=0.001)和日常生活能力量表(p<；0.001)上得分显著低于对照组。CIRS严重程度指数是住院相关失眠的最佳预测因子(OR 7.9，SE 0.85，p=0.01)。对失眠预测因素的了解可能有助于规划预防策略，以改善患者的全球健康状况和生活质量。(C)2010爱思唯尔爱尔兰有限公司。保留所有权利。
Insomnia can determine an increase in falls and accidents, hospitalization and nursing home placement. The aims of our study are to evaluate prevalence, clinical characteristics and predictors of sleep disorders in elderly inpatients admitted to a Geriatric Acute Care Ward. This longitudinal observational study consecutively recruited patients aged 65 and older admitted to a Geriatric Acute Care Unit between January the 1st 2007 and June 31st 2007. During the 3rd day of length of stay (LOS), patients were asked if they suffered with sleep disorders. Patients reporting sleep disturbances during the first 3 days of LOS were included in the study. Patients were evaluated for insomnia, comorbidity, self-rated health, functional status, cognitive impairment and pain. Of the 280 subjects investigated, 80 referred sleep disorders during LOS with a prevalence of 36.7%. Patients with sleep problems scored significantly worse on the cumulative index rating scale (CIRS) severity index (p = 0.007), on the numeric rating scale (NRS) (p = 0.01) and on the activities of daily living (ADL) scale (p < 0.001). The CIRS severity index resulted the best predictor for insomnia related to hospitalization (OR 7.9, SE 0.85, p = 0.01). The knowledge of insomnia predictors might help in planning preventive strategies to improve patients' global health status and quality of life. (C) 2010 Elsevier Ireland Ltd. All rights reserved.