2.50
Hdl Handle:
http://hdl.handle.net/10755/163195
Category:
Abstract
Type:
Presentation
Title:
Predictors of Excessive Daytime Sleepiness in Obstructive Sleep Apnea
Author(s):
Ye, Lichuan; Weaver, Terri E.; Liang, Zong-An
Author Details:
Lichuan Ye, RN, University of Pennsylvania, Philadelphia, Pennsylvania, USA, email: yel@nursing.upenn.edu; Terri E. Weaver, PhD, FAAN, RN; Zong-An Liang, MD, Sichuan University
Abstract:
Purpose: To determine the predictive factors of excessive daytime sleepiness (EDS), the primary symptom and predominant behavioral feature of obstructive sleep apnea (OSA) in a Chinese population. Theoretical Framework: According to the Theory of Unpleasant Symptoms, the influencing factors of a symptom include physiological, psychological, and situational factors. This study tried to identify the predictors of EDS among OSA severity, mood disturbances, and demographic factors. Methods (Design, Sample, Setting, Measures, Analysis): This was a cross-sectional and correlation study. A total of 108 patients with newly diagnosed OSA from the patient population of a sleep laboratory of a university teaching hospital in Southwest China were assessed for EDS using the Epworth sleepiness scale (ESS). The Zung self-rating depression scale and the Zung self-rating anxiety scale were used to assess the moods of depression and anxiety. OSA severity was measured by the apnea-hypopnea index (AHI). Associations between sleepiness, depression, anxiety, AHI, and demographic factors including age, gender, body mass index (BMI), were examined by the Pearson linear correlation. Stepwise regression analyses were performed to determine the predictive factors of the ESS score and the presence of EDS. Results: Fifty-nine patients (54.6%) were considered to have EDS (ESS score =10). Forty-six patients (42.6%) were depressed and 21 patients (19.4%) were anxious. Higher ESS score was significantly associated with higher AHI (r=.343, p< .05) and higher BMI (r=.365, p< .05). Depression and sleepiness were significantly correlated (r=.210, p< .05), as were anxiety and sleepiness (r=.220, p< .05). Stepwise multiple regression analysis identified that BMI, anxiety score, and AHI, together predicted 22.4% of the total variance of the ESS score (R2=.224, p< .001). Stepwise logistic regression analysis identified only the AHI and the anxiety score as significant predictors of EDS. Conclusions and Implications: Not only influenced by OSA severity, EDS has been shown to be influenced by mood disturbances as well. Appropriate evaluation and interventions for mood disturbances in OSA are needed.
Repository Posting Date:
27-Oct-2011
Date of Publication:
27-Oct-2011
Conference Date:
2007
Conference Name:
19th Annual Scientific Sessions
Conference Host:
Eastern Nursing Research Society
Conference Location:
Providence, Rhode Island, USA
Description:
Conference theme: Building Communities of Scholarship and Research, held April 12-14, 2007 at The Westin Providence.
Note:
This is an abstract-only submission. If the author has submitted a full-text item based on this abstract, you may find it by browsing the Virginia Henderson Global Nursing e-Repository by author. If author contact information is available in this abstract, please feel free to contact him or her with your queries regarding this submission. Alternatively, please contact the conference host, journal, or publisher (according to the circumstance) for further details regarding this item. If a citation is listed in this record, the item has been published and is available via open-access avenues or a journal/database subscription. Contact your library for assistance in obtaining the as-published article.

Full metadata record

DC FieldValue Language
dc.type.categoryAbstracten_US
dc.typePresentationen_GB
dc.titlePredictors of Excessive Daytime Sleepiness in Obstructive Sleep Apneaen_GB
dc.contributor.authorYe, Lichuanen_US
dc.contributor.authorWeaver, Terri E.en_US
dc.contributor.authorLiang, Zong-Anen_US
dc.author.detailsLichuan Ye, RN, University of Pennsylvania, Philadelphia, Pennsylvania, USA, email: yel@nursing.upenn.edu; Terri E. Weaver, PhD, FAAN, RN; Zong-An Liang, MD, Sichuan Universityen_US
dc.identifier.urihttp://hdl.handle.net/10755/163195-
dc.description.abstractPurpose: To determine the predictive factors of excessive daytime sleepiness (EDS), the primary symptom and predominant behavioral feature of obstructive sleep apnea (OSA) in a Chinese population. Theoretical Framework: According to the Theory of Unpleasant Symptoms, the influencing factors of a symptom include physiological, psychological, and situational factors. This study tried to identify the predictors of EDS among OSA severity, mood disturbances, and demographic factors. Methods (Design, Sample, Setting, Measures, Analysis): This was a cross-sectional and correlation study. A total of 108 patients with newly diagnosed OSA from the patient population of a sleep laboratory of a university teaching hospital in Southwest China were assessed for EDS using the Epworth sleepiness scale (ESS). The Zung self-rating depression scale and the Zung self-rating anxiety scale were used to assess the moods of depression and anxiety. OSA severity was measured by the apnea-hypopnea index (AHI). Associations between sleepiness, depression, anxiety, AHI, and demographic factors including age, gender, body mass index (BMI), were examined by the Pearson linear correlation. Stepwise regression analyses were performed to determine the predictive factors of the ESS score and the presence of EDS. Results: Fifty-nine patients (54.6%) were considered to have EDS (ESS score =10). Forty-six patients (42.6%) were depressed and 21 patients (19.4%) were anxious. Higher ESS score was significantly associated with higher AHI (r=.343, p< .05) and higher BMI (r=.365, p< .05). Depression and sleepiness were significantly correlated (r=.210, p< .05), as were anxiety and sleepiness (r=.220, p< .05). Stepwise multiple regression analysis identified that BMI, anxiety score, and AHI, together predicted 22.4% of the total variance of the ESS score (R2=.224, p< .001). Stepwise logistic regression analysis identified only the AHI and the anxiety score as significant predictors of EDS. Conclusions and Implications: Not only influenced by OSA severity, EDS has been shown to be influenced by mood disturbances as well. Appropriate evaluation and interventions for mood disturbances in OSA are needed.en_GB
dc.date.available2011-10-27T11:03:06Z-
dc.date.issued2011-10-27en_GB
dc.date.accessioned2011-10-27T11:03:06Z-
dc.conference.date2007en_US
dc.conference.name19th Annual Scientific Sessionsen_US
dc.conference.hostEastern Nursing Research Societyen_US
dc.conference.locationProvidence, Rhode Island, USAen_US
dc.descriptionConference theme: Building Communities of Scholarship and Research, held April 12-14, 2007 at The Westin Providence.en_US
dc.description.noteThis is an abstract-only submission. If the author has submitted a full-text item based on this abstract, you may find it by browsing the Virginia Henderson Global Nursing e-Repository by author. If author contact information is available in this abstract, please feel free to contact him or her with your queries regarding this submission. Alternatively, please contact the conference host, journal, or publisher (according to the circumstance) for further details regarding this item. If a citation is listed in this record, the item has been published and is available via open-access avenues or a journal/database subscription. Contact your library for assistance in obtaining the as-published article.-
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