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Postoperative poor sleep quality and its associated factors among adult patients: A multicenter cross-sectional study()

BACKGROUND: Sleep quality refers to a sense of being refreshed and rested after waking up from sleep. Postoperative patients were vulnerable to poor sleep quality due to having different contributing factors. The prevalence of poor sleep quality among postsurgical patients was left undisclosed in ou...

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Autores principales: Seid Tegegne, Shimelis, Fenta Alemnew, Efrem
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8819123/
https://www.ncbi.nlm.nih.gov/pubmed/35145662
http://dx.doi.org/10.1016/j.amsu.2022.103273
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author Seid Tegegne, Shimelis
Fenta Alemnew, Efrem
author_facet Seid Tegegne, Shimelis
Fenta Alemnew, Efrem
author_sort Seid Tegegne, Shimelis
collection PubMed
description BACKGROUND: Sleep quality refers to a sense of being refreshed and rested after waking up from sleep. Postoperative patients were vulnerable to poor sleep quality due to having different contributing factors. The prevalence of poor sleep quality among postsurgical patients was left undisclosed in our study setting. Knowing the prevalence and contributing factors for poor sleep quality helps us to develop a strategic plan for prevention and management. METHOD AND MATERIALS: A multicenter cross-sectional study design was conducted on 424 postsurgical patients who were selected by a systematic random sampling method. Data was collected using the Pittsburgh Sleep Quality Index by a face-to-face interview. Data analysis was done using SPSS version 25. For categorical data, a chi-square test was done. Bivariable and multivariable analyses were performed to determine whether each of the independent variables is associated with the outcome variable. RESULT: Based on this study result, the prevalence of poor sleep quality was 64.9%. Among the factors included in this study, variables which had an association with poor postoperative sleep quality were age range 25–54 years (AOR = 15.13), male gender (AOR = 4.81), educational level of secondary school (AOR = 6.29), patient income less than 2500 birr (AOR = 3.77), anxiety (AOR = 2.53), depression(AOR = 22.8), light exposure(AOR = 19.60), poor social support (AOR = 1.98), being emergency surgery (AOR = 2.46) and having a history of moderate to severe pain (AOR = 38.18, (95% CI). CONCLUSION: Poor sleep quality among adult post-surgical patients was significantly high in Amhara regional comprehensive referral hospitals. Therefore; Clinicians need to prioritize postoperative sleep quality assessment and needs to minimize factors inducing postoperative sleep disturbances.
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spelling pubmed-88191232022-02-09 Postoperative poor sleep quality and its associated factors among adult patients: A multicenter cross-sectional study() Seid Tegegne, Shimelis Fenta Alemnew, Efrem Ann Med Surg (Lond) Cross-sectional Study BACKGROUND: Sleep quality refers to a sense of being refreshed and rested after waking up from sleep. Postoperative patients were vulnerable to poor sleep quality due to having different contributing factors. The prevalence of poor sleep quality among postsurgical patients was left undisclosed in our study setting. Knowing the prevalence and contributing factors for poor sleep quality helps us to develop a strategic plan for prevention and management. METHOD AND MATERIALS: A multicenter cross-sectional study design was conducted on 424 postsurgical patients who were selected by a systematic random sampling method. Data was collected using the Pittsburgh Sleep Quality Index by a face-to-face interview. Data analysis was done using SPSS version 25. For categorical data, a chi-square test was done. Bivariable and multivariable analyses were performed to determine whether each of the independent variables is associated with the outcome variable. RESULT: Based on this study result, the prevalence of poor sleep quality was 64.9%. Among the factors included in this study, variables which had an association with poor postoperative sleep quality were age range 25–54 years (AOR = 15.13), male gender (AOR = 4.81), educational level of secondary school (AOR = 6.29), patient income less than 2500 birr (AOR = 3.77), anxiety (AOR = 2.53), depression(AOR = 22.8), light exposure(AOR = 19.60), poor social support (AOR = 1.98), being emergency surgery (AOR = 2.46) and having a history of moderate to severe pain (AOR = 38.18, (95% CI). CONCLUSION: Poor sleep quality among adult post-surgical patients was significantly high in Amhara regional comprehensive referral hospitals. Therefore; Clinicians need to prioritize postoperative sleep quality assessment and needs to minimize factors inducing postoperative sleep disturbances. Elsevier 2022-01-31 /pmc/articles/PMC8819123/ /pubmed/35145662 http://dx.doi.org/10.1016/j.amsu.2022.103273 Text en © 2022 Published by Elsevier Ltd on behalf of IJS Publishing Group Ltd. https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Cross-sectional Study
Seid Tegegne, Shimelis
Fenta Alemnew, Efrem
Postoperative poor sleep quality and its associated factors among adult patients: A multicenter cross-sectional study()
title Postoperative poor sleep quality and its associated factors among adult patients: A multicenter cross-sectional study()
title_full Postoperative poor sleep quality and its associated factors among adult patients: A multicenter cross-sectional study()
title_fullStr Postoperative poor sleep quality and its associated factors among adult patients: A multicenter cross-sectional study()
title_full_unstemmed Postoperative poor sleep quality and its associated factors among adult patients: A multicenter cross-sectional study()
title_short Postoperative poor sleep quality and its associated factors among adult patients: A multicenter cross-sectional study()
title_sort postoperative poor sleep quality and its associated factors among adult patients: a multicenter cross-sectional study()
topic Cross-sectional Study
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8819123/
https://www.ncbi.nlm.nih.gov/pubmed/35145662
http://dx.doi.org/10.1016/j.amsu.2022.103273
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