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Predictive factors of subjective sleep quality and insomnia complaint in patients with stroke: implications for clinical practice

Overview of attention for article published in Anais da Academia Brasileira de Ciências, August 2013
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Title
Predictive factors of subjective sleep quality and insomnia complaint in patients with stroke: implications for clinical practice
Published in
Anais da Academia Brasileira de Ciências, August 2013
DOI 10.1590/s0001-37652013005000053
Pubmed ID
Authors

PATRÍCIA C. DA ROCHA, MARINA T.M. BARROSO, ANA AMÁLIA T.S.G. DANTAS, LUCIANA P. MELO, TANIA F. CAMPOS

Abstract

The complaints regarding sleep problems have not been well identified after a stroke. The aim of this study was to investigate the predictive factors of sleep quality and insomnia complaints in patients with stroke. A total of 70 subjects, 40 patients (57 ± 7 years) and 30 healthy controls (52 ± 6 years) assessed by the Pittsburgh Sleep Quality Index (PSQI) and the Sleep Habits Questionnaire took part in the study. The data were analyzed using the chi-square test, the Student's t-test and logistic regression analysis. On average, the patients showed poor sleep quality (patients: 6.3 ± 3.5; controls: 3.9 ± 2.2; p= 0.002) and insomnia complaint was the most prevalent (patients: 37.5%; controls: 6.7%; p= 0.007). The absence of insomnia complaint (OR= 0.120; 95%CI= 0.017-0.873; p= 0.036) and the decreased latency of sleep (OR= 0.120; 95%CI= 0.017-0.873; p= 0.036) were the protective factors of sleep quality. Female sex (OR= 11.098; 95%CI= 1.167-105.559; p= 0.036) and fragmented sleep (OR= 32.040; 95%CI= 3.236-317.261; p= 0.003) were the risk factors for insomnia complaint. We suggest that complaints of poor sleep quality and insomnia should be given priority assessment during clinical diagnosis of sleep disorders in stroke.

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Geographical breakdown

Country Count As %
Spain 1 2%
Unknown 45 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 9 20%
Student > Bachelor 5 11%
Other 5 11%
Researcher 5 11%
Student > Postgraduate 5 11%
Other 8 17%
Unknown 9 20%
Readers by discipline Count As %
Medicine and Dentistry 19 41%
Nursing and Health Professions 9 20%
Neuroscience 2 4%
Social Sciences 2 4%
Decision Sciences 1 2%
Other 3 7%
Unknown 10 22%