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Assessment of Insomnia Severity in Elderly Patients with Chronic Obstructive Pulmonary Disease in Rasoul Akram Hospital, 2019 Tehran
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Faride Bastani    , Fateme Farajtabar * |
| Department of Public Health Nursing and Geriatrics, School of Nursing and Midwifery, Iran University of Medical Sciences, Tehran, Iran , farajtabar1993@gmail.com |
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Abstract: (3304 Views) |
Background & objectives: Chronic obstructive pulmonary disease (COPD) is one of the most common diseases in the elderly. Elderly people with this disease have many problems, as sleep disorders, that can cause many complications such as falls, depression, memory disorders, irritability, fatigue, difficulty concentrating and dementia. The aim of this study was to determine the severity of insomnia in elderly patients with chronic obstructive pulmonary disease.
Methods: This is a cross-sectional, descriptive study that was performed on 170 elderly people with COPD referred to Hazrat Rasoul Akram Hospital in Tehran. The research instruments were short form of cognitive test and demographic characteristics, insomnia severity questionnaire. Data analysis was performed in SPSS software (V.16), using Pearson and Spearman correlation test, one-way ANOVA, independent t-test, logistic regression analysis and Tukey post hoc analysis.
Results: The mean and standard deviation of insomnia in the elderly were found to be 14.4±5.6 which indicated moderate insomnia. Factors such as gender, marital status, patient's occupation, history of sleep disorders, and history of hypnotic drugs use and duration of COPD were the variables that were significantly associated with patients' insomnia. (p<0.001)
Conclusion: Insomnia disorder in the elderly will have adverse consequences. Hence the control of effective factors in these patients can improve their health and quality of life. |
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| Keywords: Sleep Disorders, Insomnia, Chronic Obstructive Pulmonary Disease, COPD, Elderly |
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Full-Text [PDF 164 kb]
(1126 Downloads)
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Type of Study: article |
Subject:
Nursing-midwifery
Received: 2020/01/7 | Accepted: 2020/08/31 | Published: 2020/09/22
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