2.50
Hdl Handle:
http://hdl.handle.net/10755/154880
Type:
Presentation
Title:
Sleep Patterns in Patients with Heart Failure and Associated Factors
Abstract:
Sleep Patterns in Patients with Heart Failure and Associated Factors
Conference Sponsor:Sigma Theta Tau International
Conference Year:2011
Author:Santos, Mariana Alvina, RN, MNSc
P.I. Institution Name:University of Sao Paulo
Title:Doctoral Student
Co-Authors:Dina de Almeida Lopes Monteiro Cruz RN, PhD, Associate Professor;
Erika de Souza Guedes RN, Master Student;
Fabiana Goncalves Matos RN, MNSc, Assistant Professor and Doctoral Student
[22nd International Nursing Research Congress - Research Presentation] Purpose: To describe sleep patterns in patients with HF and examine associations of sleep pattern and selected variables. Methods:  A cross sectional study, with a non-probability sample of 400 outpatients (average age 57.8 years, SD = 11.6, 64.8% were men, SD = 3.9; 82.5% in functional class II or III) under treatment of heart failure in a teaching hospital. Data were collected by interviews in which participants answered a set of tools including: personal and clinical data, and data on sleep pattern (PSQI Pittsburgh Sleep Quality Index), fatigue ( Dutch Fatigue Scale - DUFS), fatigue on exertion (Dutch Exertion Fatigue Scale), physical activity (International Physical Activity Questionnaire), and dyspnea, smoking and drug treatment. The tools showed good internal consistency in this sample study (PSQI alpha = 0.73; DUFS alpha = 0.90; DEFS alpha = 0.92). Nonparametric tests of association were applied and a regression model was adjusted to identify predictors of sleep disturbance.
 Results: The prevalence of bad sleepers (PSQI?5) was 68.5%, and 46.5% of the participants rated sleep as poor or very poor.  Being bad sleeper was statistically associated with: female gender (p=0.009), unemployment (p=0.013), fatigue (p=0.000), fatigue on exertion (p=0.000), dyspnea (p=0.000) and higher HF functional class (p=0.000). Dyspnea (OR=3.23; CI 95% 1.72 to 6.07) and fatigue (OR=3.45; CI 95% 1.82 to 6.49) were  independent predictors of bad sleeper category. Conclusion:  The findings of this study are empirical evidence that dyspnea and fatigue are related factors of sleep disturbance. Further studies to identify non-pharmacological interventions of nursing to improve sleep in heart failure patients are needed.
Repository Posting Date:
26-Oct-2011
Date of Publication:
17-Oct-2011
Sponsors:
Sigma Theta Tau International

Full metadata record

DC FieldValue Language
dc.typePresentationen_GB
dc.titleSleep Patterns in Patients with Heart Failure and Associated Factorsen_GB
dc.identifier.urihttp://hdl.handle.net/10755/154880-
dc.description.abstract<table><tr><td colspan="2" class="item-title">Sleep Patterns in Patients with Heart Failure and Associated Factors</td></tr><tr class="item-sponsor"><td class="label">Conference Sponsor:</td><td class="value">Sigma Theta Tau International</td></tr><tr class="item-year"><td class="label">Conference Year:</td><td class="value">2011</td></tr><tr class="item-author"><td class="label">Author:</td><td class="value">Santos, Mariana Alvina, RN, MNSc</td></tr><tr class="item-institute"><td class="label">P.I. Institution Name:</td><td class="value">University of Sao Paulo</td></tr><tr class="item-author-title"><td class="label">Title:</td><td class="value">Doctoral Student</td></tr><tr class="item-email"><td class="label">Email:</td><td class="value">marifamema@usp.br</td></tr><tr class="item-co-authors"><td class="label">Co-Authors:</td><td class="value">Dina de Almeida Lopes Monteiro Cruz RN, PhD, Associate Professor;<br/>Erika de Souza Guedes RN, Master Student;<br/>Fabiana Goncalves Matos RN, MNSc, Assistant Professor and Doctoral Student</td></tr><tr><td colspan="2" class="item-abstract">[22nd International Nursing Research Congress - Research Presentation] Purpose:&nbsp;To describe sleep patterns in patients with HF and examine associations of sleep pattern and selected variables.&nbsp;Methods:&nbsp;&nbsp;A cross sectional study, with a non-probability sample of 400 outpatients (average age 57.8 years, SD = 11.6, 64.8% were men, SD = 3.9; 82.5% in functional class II or III) under treatment of heart failure in a teaching hospital. Data were collected by interviews in which participants answered a set of tools including: personal and clinical data, and data on sleep pattern (PSQI Pittsburgh Sleep Quality Index), fatigue ( Dutch Fatigue Scale - DUFS), fatigue on exertion (Dutch Exertion Fatigue Scale), physical activity (International Physical Activity Questionnaire), and dyspnea, smoking and drug treatment. The tools showed good internal consistency in this sample study (PSQI alpha = 0.73; DUFS alpha = 0.90; DEFS alpha = 0.92). Nonparametric tests of association were applied and a regression model was adjusted to identify predictors of sleep disturbance. <br/>&nbsp;Results:&nbsp;The prevalence of bad sleepers (PSQI?5) was 68.5%, and 46.5% of the participants rated sleep as poor or very poor.&nbsp; Being bad sleeper was statistically associated with: female gender (p=0.009), unemployment (p=0.013), fatigue (p=0.000), fatigue on exertion (p=0.000), dyspnea (p=0.000) and higher HF functional class (p=0.000). Dyspnea (OR=3.23; CI 95% 1.72 to 6.07) and fatigue (OR=3.45; CI 95% 1.82 to 6.49) were&nbsp; independent predictors of bad sleeper category. Conclusion:&nbsp;&nbsp;The findings of this study are empirical evidence that dyspnea and fatigue are related factors of sleep disturbance. Further studies to identify non-pharmacological interventions of nursing to improve sleep in heart failure patients are needed.</td></tr></table>en_GB
dc.date.available2011-10-26T13:21:13Z-
dc.date.issued2011-10-17en_GB
dc.date.accessioned2011-10-26T13:21:13Z-
dc.description.sponsorshipSigma Theta Tau Internationalen_GB
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