İnmeli hastalarda uyku kalitesi ve ilişkili faktörlerin değerlendirilmesi
Yükleniyor...
Tarih
2015
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Fırat Üniversitesi Tıp Fakültesi
Erişim Hakkı
info:eu-repo/semantics/openAccess
Özet
Amaç: Bu çalışmanın amacı inmeli hastalarda uyku kalitesini değerlendirmek; uyku kalitesi üzerine fonksiyonel durum, emosyonel durum ve motor
iyileşmenin etkisini belirlemektir.
Gereç ve Yöntem: Serebrovasküler olaya bağlı inmesi olan 62 hasta ve 62 sağlıklı gönüllü çalışmaya alındı. Çalışma grubunun sosyodemografik
verileri ve hastaların klinik bulguları kaydedildi. Fonksiyonel durumu değerlendirmek için Barthel İndeksi (Bİ) ve Fonksiyonel Ambulasyon
Sınıflaması kullanıldı. Uyku kalitesi Pittsburgh Uyku Kalitesi indeksi (PUKİ) ile değerlendirilirken, emosyonel durum Hastane Anksiyete Depresyon
Ölçeği (HADÖ) ile belirlendi. Fonksiyonel durum, motor bozukluk ve emosyonel durum bağımsız değişkenler olarak alındı ve multipl regresyon
analizi uyku kalitesini tahmin etmek için kullanıldı.
Bulgular: Hastalarda PUKİ’nin tüm alt skorları ve total skoru kontrol grubuna göre anlamlı olarak yüksekti (p<0.001). Total PUKİ skoru ile HADÖ
anksiyete ve depresyon skoru korele idi (p<0.01). Bİ ile PUKİ total skoru arasında da anlamlı negatif korelasyon vardı. Multipl regresyon analizi
HADÖ depresyon duygu durumunun uyku kalitesini tahmin etmede en önemli faktör olduğunu gösterdi (p<0.01).
Sonuç: Çalışmamız kontrol grubuna göre inme hastalarının uyku kalitesinde bozulma olduğunu gösterdi. Aynı zamanda hastaların emosyonel
durumları ve fiziksel disabiliteleri ile uyku kalitesi de ilişkiliydi. Çalışmamıza göre depresyon uyku kalitesini belirleyen en önemli faktör olduğu için
özellikle depresyonun erken tanı ve tedavisi ile inmeli hastaların uyku kalitesinin artacağını düşünmekteyiz.
Objective: The study aims to examine sleep quality in stroke patients, and to identify effects of functional and emotional state and motor recovery on the sleep quality. Material and Method: 62 patients having hemiplegia as a result of cerebrovascular accident and 62 controls were included in this study. Sociodemographic data of study group and clinical characteristic of patients were recorded. The Barthel Index (BI) and the Functional Ambulation Category (FAC) scale were employed to assess the functional state of patients. Emotional state of the patients was evaluated by the Hospital Anxiety and Depression Scale (HADS), while Sleep quality was evaluated by the Pittsburgh Sleep Quality Index (PSQI). Functional status, motor impairment and emotional state were determined as independent variables, and multiple regression analysis was used to predict sleep quality. Results: Patients had significantly higher scores in the subscores and total scores of PSQI in comparison with the controls (p<0.001). The HADS anxiety and depression score were correlated with PSQI total score in the patients (p<0.01). BI was also significantly negatively correlated with PSQI total score. The multivariate regression analyses indicated that depression state was the most significant factor to predict sleep quality (p<0.01). Conclusion: Our study showed that stroke patients have a significantly poorer sleep quality than the controls. The impaired sleep quality appears to be related with the emotional state and physical disability. Because our study revealed that depression is the most significant factor that determines sleep quality, we consider that early diagnosis and treatment of depression is vital in the improvement of sleep quality of stroke patients.
Objective: The study aims to examine sleep quality in stroke patients, and to identify effects of functional and emotional state and motor recovery on the sleep quality. Material and Method: 62 patients having hemiplegia as a result of cerebrovascular accident and 62 controls were included in this study. Sociodemographic data of study group and clinical characteristic of patients were recorded. The Barthel Index (BI) and the Functional Ambulation Category (FAC) scale were employed to assess the functional state of patients. Emotional state of the patients was evaluated by the Hospital Anxiety and Depression Scale (HADS), while Sleep quality was evaluated by the Pittsburgh Sleep Quality Index (PSQI). Functional status, motor impairment and emotional state were determined as independent variables, and multiple regression analysis was used to predict sleep quality. Results: Patients had significantly higher scores in the subscores and total scores of PSQI in comparison with the controls (p<0.001). The HADS anxiety and depression score were correlated with PSQI total score in the patients (p<0.01). BI was also significantly negatively correlated with PSQI total score. The multivariate regression analyses indicated that depression state was the most significant factor to predict sleep quality (p<0.01). Conclusion: Our study showed that stroke patients have a significantly poorer sleep quality than the controls. The impaired sleep quality appears to be related with the emotional state and physical disability. Because our study revealed that depression is the most significant factor that determines sleep quality, we consider that early diagnosis and treatment of depression is vital in the improvement of sleep quality of stroke patients.
Açıklama
Anahtar Kelimeler
İnme, Uyku kalitesi, Pittsburgh uyku değerlendirme ölçeği, Depresyon, Disabilite, Stroke, Sleep quality, Pittsburgh sleep quality index, Depression, Disability
Kaynak
Fırat Tıp Dergisi
WoS Q Değeri
Scopus Q Değeri
Cilt
20
Sayı
2
Künye
Akdeniz, D., Em, S., Çağlayan, M., Bozkurt, M., Oktayoğlu, P., Karakoç, M. ve diğerleri. (2015). İnmeli hastalarda uyku kalitesi ve ilişkili faktörlerin değerlendirilmesi. Fırat Tıp Dergisi, 20(2), 86-91.
