Anxiety, Working Atmosphere, and Feelings of Depression are Independent Predictors of Poor Sleep Quality: A Random Sample Survey Among First-Line Shift-Working Nurses

2.50
Hdl Handle:
http://hdl.handle.net/10755/151954
Type:
Presentation
Title:
Anxiety, Working Atmosphere, and Feelings of Depression are Independent Predictors of Poor Sleep Quality: A Random Sample Survey Among First-Line Shift-Working Nurses
Abstract:
Anxiety, Working Atmosphere, and Feelings of Depression are Independent Predictors of Poor Sleep Quality: A Random Sample Survey Among First-Line Shift-Working Nurses
Conference Sponsor:Sigma Theta Tau International
Conference Year:2011
Author:Lai, Hui-Ling, BSN, MSN, MS(PH), PhD, RN
P.I. Institution Name:Tzu Chi University/ Buddhist Tzu Chi General Hospital
Title:Associate Professor / Vice Director
[22nd International Nursing Research Congress - Research Presentation] Purpose: This study aims to determine the prevalence and associations of poor sleep quality in first line shift work nurses. According to a global survey of 2203 nurses in 11 countries only 33% of nurses in Taiwan are likely to remain in the profession over the next five years. Nurses often complain about poor sleep. Sleep disturbance can in turn become a salient factor in nurses? decisions to leave the profession. Little is known about the sleep quality of nursing staff compared to the vast amount of knowledge pertaining to that of the general population.
Methods: We conducted a two-stage, cross-sectional, hospital-based study in different hospitals with varying levels of accreditation in Taiwan, in April 2010. We randomly selected nurses and administered a researcher-designed questionnaire with standardized instruments, to determine the characteristics and sleep quality of subjects. Sleep quality was identified using the Pittsburgh Sleep Quality Index (PSQI). Subjects completed the self-reported PSQI, together with a number of other questions designed for the purpose of the study. Multiple logistic regression analysis was employed to identify relationships between variables.
Results: The response rate was 90.6%. Subjects (n = 661) ranged in age from 21 to 62 years, with a mean age of 31.86 (SD = 8.09). The prevalence of poor sleep quality was 59% (n = 390). Multivariate logistic regression analyses revealed that poor sleepers are more likely to have higher anxiety (OR= 1.06, 95% CI: 1.04-1.08), feelings of depression (OR=1.10, 95% CI: 1.01-1.20), and a poor working atmosphere (OR= 0.86, 95% CI: 0.80-0.92). Conclusion: Anxiety, working atmosphere, and feelings of depression are independent predictors of poor sleep quality. The study findings may be used as outcome variables for developing an effective method of improving wellbeing in the professional nursing workforce.
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.titleAnxiety, Working Atmosphere, and Feelings of Depression are Independent Predictors of Poor Sleep Quality: A Random Sample Survey Among First-Line Shift-Working Nursesen_GB
dc.identifier.urihttp://hdl.handle.net/10755/151954-
dc.description.abstract<table><tr><td colspan="2" class="item-title">Anxiety, Working Atmosphere, and Feelings of Depression are Independent Predictors of Poor Sleep Quality: A Random Sample Survey Among First-Line Shift-Working Nurses</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">Lai, Hui-Ling, BSN, MSN, MS(PH), PhD, RN</td></tr><tr class="item-institute"><td class="label">P.I. Institution Name:</td><td class="value">Tzu Chi University/ Buddhist Tzu Chi General Hospital</td></tr><tr class="item-author-title"><td class="label">Title:</td><td class="value">Associate Professor / Vice Director</td></tr><tr class="item-email"><td class="label">Email:</td><td class="value">snowjade@mail.tcu.edu.tw</td></tr><tr><td colspan="2" class="item-abstract">[22nd International Nursing Research Congress - Research Presentation] Purpose:&nbsp;This study aims to determine the prevalence and associations of poor sleep quality in first line shift work nurses. According to a global survey of 2203 nurses in 11 countries only 33% of nurses in Taiwan are likely to remain in the profession over the next five years. Nurses often complain about poor sleep. Sleep disturbance can in turn become a salient factor in nurses? decisions to leave the profession. Little is known about the sleep quality of nursing staff compared to the vast amount of knowledge pertaining to that of the general population. <br/>Methods: We conducted a two-stage, cross-sectional, hospital-based study in different hospitals with varying levels of accreditation in Taiwan, in April 2010. We randomly selected nurses and administered a researcher-designed questionnaire with standardized instruments, to determine the characteristics and sleep quality of subjects. Sleep quality was identified using the Pittsburgh Sleep Quality Index (PSQI). Subjects completed the self-reported PSQI, together with a number of other questions designed for the purpose of the study. Multiple logistic regression analysis was employed to identify relationships between variables. <br/>Results:&nbsp;The response rate was 90.6%. Subjects (n = 661) ranged in age from 21 to 62 years, with a mean age of 31.86 (SD = 8.09). The prevalence of poor sleep quality was 59% (n = 390). Multivariate logistic regression analyses revealed that poor sleepers are more likely to have higher anxiety (OR= 1.06, 95% CI: 1.04-1.08), feelings of depression (OR=1.10, 95% CI: 1.01-1.20), and a poor working atmosphere (OR= 0.86, 95% CI: 0.80-0.92). Conclusion:&nbsp;Anxiety, working atmosphere, and feelings of depression are independent predictors of poor sleep quality. The study findings may be used as outcome variables for developing an effective method of improving wellbeing in the professional nursing workforce.</td></tr></table>en_GB
dc.date.available2011-10-26T11:19:13Z-
dc.date.issued2011-10-17en_GB
dc.date.accessioned2011-10-26T11:19:13Z-
dc.description.sponsorshipSigma Theta Tau Internationalen_GB
All Items in this repository are protected by copyright, with all rights reserved, unless otherwise indicated.