Loading…
Sleep Disturbances in Long COVID: A Cohort Prospective Study
Purpose We aimed to determine the incidence of tardive sleep disturbances among patients hospitalized for COVID-19 infection, and to analyze their predictive factors. Methods It was a prospective cohort study, conducted in the department of respiratory diseases and Allergy, at Hedi Chaker University...
Saved in:
| Published in: | Sleep and vigilance 2024-12, Vol.8 (2), p.291-305 |
|---|---|
| Main Authors: | , , , , , , , , , , , , |
| Format: | Article |
| Language: | English |
| Subjects: | |
| Citations: | Items that this one cites |
| Online Access: | Get full text |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| cited_by | |
|---|---|
| cites | cdi_FETCH-LOGICAL-c1151-6c40b5c5426c4ba1cd189af3c2ff2c3e7a63ecafbd9c7c6ccee4180211c135f23 |
| container_end_page | 305 |
| container_issue | 2 |
| container_start_page | 291 |
| container_title | Sleep and vigilance |
| container_volume | 8 |
| creator | Turki, Mariem Bouattour, Nadia Ben Ayed, Houda Msaad, Sameh Chaari, Imen Messedi, Neila Gargouri, Rahma kamoun, Samy Yaich, Sourour Aribi, Lobna Halouani, Najla Ellouze, Sahar Aloulou, Jihen |
| description | Purpose
We aimed to determine the incidence of tardive sleep disturbances among patients hospitalized for COVID-19 infection, and to analyze their predictive factors.
Methods
It was a prospective cohort study, conducted in the department of respiratory diseases and Allergy, at Hedi Chaker University Hospital (Sfax-Tunisia). It included inpatients with laboratory-confirmed SARS-CoV-2 infection, who were discharged alive from hospital. The study protocol included 2 steps. First, patients were evaluated during their hospitalization. Then, each eligible patient was assessed 6–9 months after discharge. We thus asked them about fatigability, cognitive impairment and the following scales: the Pittsburgh Sleep Quality Index (PSQI) to assess sleep disturbances; the visual analog scale (VAS) to assess pain; the modified British Medical Research Council (mMRC scale) to evaluate dyspnea; the Patient Health Questionnaire-9 (PHQ-9) to assess depressive symptoms and the Euroqol 5 Dimensions 3 Levels Questionnaire (EQ-5D-3L) to assess the quality of life.
Results
The median age of the participants was 59 years [IQR (53–68)]. Among them, 51.2% were females. According to PSQI, the incidence of sleep disturbances after COVID was 48.8%. In multivariate analysis, predictive factors of sleep disturbances were: VAS score (
β
= 0.35;
p
= 0.007); fatigability (
β
= 1.78;
p
= 0.016); anxiety/depression (
β
= 4.25;
p
|
| doi_str_mv | 10.1007/s41782-024-00288-1 |
| format | article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_3133633962</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>3133633962</sourcerecordid><originalsourceid>FETCH-LOGICAL-c1151-6c40b5c5426c4ba1cd189af3c2ff2c3e7a63ecafbd9c7c6ccee4180211c135f23</originalsourceid><addsrcrecordid>eNp9kF1LwzAUhoMoOHR_wKuA19GcpE0z8WZ0fgwGE6behvQsmR2zrUkr7N_bWUGvvDrvxftxeAi5AH4FnGfXMYFMC8ZFwjgXWjM4IiORAmdCqPT4jz4l4xi3nHPQSmrFR-R2tXOuobMytl0obIUu0rKii7ra0Hz5Op_d0CnN67c6tPQp1LFx2Jafjq7abr0_Jyfe7qIb_9wz8nJ_95w_ssXyYZ5PFwwBUmAKE16kmCaiV4UFXIOeWC9ReC9Quswq6dD6Yj3BDBWicwloLgAQZOqFPCOXQ28T6o_OxdZs6y5U_aSRIKWScqIOLjG4sP8zBudNE8p3G_YGuDmAMgMo04My36AM9CE5hGJvrjYu_Fb_k_oCrhdpfQ</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>3133633962</pqid></control><display><type>article</type><title>Sleep Disturbances in Long COVID: A Cohort Prospective Study</title><source>Springer Nature</source><creator>Turki, Mariem ; Bouattour, Nadia ; Ben Ayed, Houda ; Msaad, Sameh ; Chaari, Imen ; Messedi, Neila ; Gargouri, Rahma ; kamoun, Samy ; Yaich, Sourour ; Aribi, Lobna ; Halouani, Najla ; Ellouze, Sahar ; Aloulou, Jihen</creator><creatorcontrib>Turki, Mariem ; Bouattour, Nadia ; Ben Ayed, Houda ; Msaad, Sameh ; Chaari, Imen ; Messedi, Neila ; Gargouri, Rahma ; kamoun, Samy ; Yaich, Sourour ; Aribi, Lobna ; Halouani, Najla ; Ellouze, Sahar ; Aloulou, Jihen</creatorcontrib><description>Purpose
We aimed to determine the incidence of tardive sleep disturbances among patients hospitalized for COVID-19 infection, and to analyze their predictive factors.
Methods
It was a prospective cohort study, conducted in the department of respiratory diseases and Allergy, at Hedi Chaker University Hospital (Sfax-Tunisia). It included inpatients with laboratory-confirmed SARS-CoV-2 infection, who were discharged alive from hospital. The study protocol included 2 steps. First, patients were evaluated during their hospitalization. Then, each eligible patient was assessed 6–9 months after discharge. We thus asked them about fatigability, cognitive impairment and the following scales: the Pittsburgh Sleep Quality Index (PSQI) to assess sleep disturbances; the visual analog scale (VAS) to assess pain; the modified British Medical Research Council (mMRC scale) to evaluate dyspnea; the Patient Health Questionnaire-9 (PHQ-9) to assess depressive symptoms and the Euroqol 5 Dimensions 3 Levels Questionnaire (EQ-5D-3L) to assess the quality of life.
Results
The median age of the participants was 59 years [IQR (53–68)]. Among them, 51.2% were females. According to PSQI, the incidence of sleep disturbances after COVID was 48.8%. In multivariate analysis, predictive factors of sleep disturbances were: VAS score (
β
= 0.35;
p
= 0.007); fatigability (
β
= 1.78;
p
= 0.016); anxiety/depression (
β
= 4.25;
p
< 0.001) and unmarried status (
β
= − 2.56;
p
= 0.044).
Conclusion
Our study highlighted the burden of sleep disturbances in COVID-19 survivors. Screening for these disorders in long haulers helps to maintain a good quality of life, and to prevent ulterior physical or mental complications, in order to promote good health and well-being on physical, psychological and social aspects.</description><identifier>ISSN: 2510-2265</identifier><identifier>EISSN: 2510-2265</identifier><identifier>DOI: 10.1007/s41782-024-00288-1</identifier><language>eng</language><publisher>Singapore: Springer Nature Singapore</publisher><subject>Biomedical and Life Sciences ; Biomedicine ; Body mass index ; COVID-19 ; Dyspnea ; Hospitalization ; Hospitals ; Infections ; Long COVID ; Medical records ; Medical research ; Medicine/Public Health ; Neurology ; Neurosciences ; Original Article ; Pain ; Patients ; Psychiatry ; Questionnaires ; Severe acute respiratory syndrome coronavirus 2 ; Sleep ; Sociodemographics ; Well being</subject><ispartof>Sleep and vigilance, 2024-12, Vol.8 (2), p.291-305</ispartof><rights>The Author(s), under exclusive licence to Springer Nature Singapore Pte Ltd. 2024. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c1151-6c40b5c5426c4ba1cd189af3c2ff2c3e7a63ecafbd9c7c6ccee4180211c135f23</cites><orcidid>0000-0001-9400-4819</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids></links><search><creatorcontrib>Turki, Mariem</creatorcontrib><creatorcontrib>Bouattour, Nadia</creatorcontrib><creatorcontrib>Ben Ayed, Houda</creatorcontrib><creatorcontrib>Msaad, Sameh</creatorcontrib><creatorcontrib>Chaari, Imen</creatorcontrib><creatorcontrib>Messedi, Neila</creatorcontrib><creatorcontrib>Gargouri, Rahma</creatorcontrib><creatorcontrib>kamoun, Samy</creatorcontrib><creatorcontrib>Yaich, Sourour</creatorcontrib><creatorcontrib>Aribi, Lobna</creatorcontrib><creatorcontrib>Halouani, Najla</creatorcontrib><creatorcontrib>Ellouze, Sahar</creatorcontrib><creatorcontrib>Aloulou, Jihen</creatorcontrib><title>Sleep Disturbances in Long COVID: A Cohort Prospective Study</title><title>Sleep and vigilance</title><addtitle>Sleep Vigilance</addtitle><description>Purpose
We aimed to determine the incidence of tardive sleep disturbances among patients hospitalized for COVID-19 infection, and to analyze their predictive factors.
Methods
It was a prospective cohort study, conducted in the department of respiratory diseases and Allergy, at Hedi Chaker University Hospital (Sfax-Tunisia). It included inpatients with laboratory-confirmed SARS-CoV-2 infection, who were discharged alive from hospital. The study protocol included 2 steps. First, patients were evaluated during their hospitalization. Then, each eligible patient was assessed 6–9 months after discharge. We thus asked them about fatigability, cognitive impairment and the following scales: the Pittsburgh Sleep Quality Index (PSQI) to assess sleep disturbances; the visual analog scale (VAS) to assess pain; the modified British Medical Research Council (mMRC scale) to evaluate dyspnea; the Patient Health Questionnaire-9 (PHQ-9) to assess depressive symptoms and the Euroqol 5 Dimensions 3 Levels Questionnaire (EQ-5D-3L) to assess the quality of life.
Results
The median age of the participants was 59 years [IQR (53–68)]. Among them, 51.2% were females. According to PSQI, the incidence of sleep disturbances after COVID was 48.8%. In multivariate analysis, predictive factors of sleep disturbances were: VAS score (
β
= 0.35;
p
= 0.007); fatigability (
β
= 1.78;
p
= 0.016); anxiety/depression (
β
= 4.25;
p
< 0.001) and unmarried status (
β
= − 2.56;
p
= 0.044).
Conclusion
Our study highlighted the burden of sleep disturbances in COVID-19 survivors. Screening for these disorders in long haulers helps to maintain a good quality of life, and to prevent ulterior physical or mental complications, in order to promote good health and well-being on physical, psychological and social aspects.</description><subject>Biomedical and Life Sciences</subject><subject>Biomedicine</subject><subject>Body mass index</subject><subject>COVID-19</subject><subject>Dyspnea</subject><subject>Hospitalization</subject><subject>Hospitals</subject><subject>Infections</subject><subject>Long COVID</subject><subject>Medical records</subject><subject>Medical research</subject><subject>Medicine/Public Health</subject><subject>Neurology</subject><subject>Neurosciences</subject><subject>Original Article</subject><subject>Pain</subject><subject>Patients</subject><subject>Psychiatry</subject><subject>Questionnaires</subject><subject>Severe acute respiratory syndrome coronavirus 2</subject><subject>Sleep</subject><subject>Sociodemographics</subject><subject>Well being</subject><issn>2510-2265</issn><issn>2510-2265</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><recordid>eNp9kF1LwzAUhoMoOHR_wKuA19GcpE0z8WZ0fgwGE6behvQsmR2zrUkr7N_bWUGvvDrvxftxeAi5AH4FnGfXMYFMC8ZFwjgXWjM4IiORAmdCqPT4jz4l4xi3nHPQSmrFR-R2tXOuobMytl0obIUu0rKii7ra0Hz5Op_d0CnN67c6tPQp1LFx2Jafjq7abr0_Jyfe7qIb_9wz8nJ_95w_ssXyYZ5PFwwBUmAKE16kmCaiV4UFXIOeWC9ReC9Quswq6dD6Yj3BDBWicwloLgAQZOqFPCOXQ28T6o_OxdZs6y5U_aSRIKWScqIOLjG4sP8zBudNE8p3G_YGuDmAMgMo04My36AM9CE5hGJvrjYu_Fb_k_oCrhdpfQ</recordid><startdate>20241201</startdate><enddate>20241201</enddate><creator>Turki, Mariem</creator><creator>Bouattour, Nadia</creator><creator>Ben Ayed, Houda</creator><creator>Msaad, Sameh</creator><creator>Chaari, Imen</creator><creator>Messedi, Neila</creator><creator>Gargouri, Rahma</creator><creator>kamoun, Samy</creator><creator>Yaich, Sourour</creator><creator>Aribi, Lobna</creator><creator>Halouani, Najla</creator><creator>Ellouze, Sahar</creator><creator>Aloulou, Jihen</creator><general>Springer Nature Singapore</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>K9.</scope><scope>NAPCQ</scope><orcidid>https://orcid.org/0000-0001-9400-4819</orcidid></search><sort><creationdate>20241201</creationdate><title>Sleep Disturbances in Long COVID: A Cohort Prospective Study</title><author>Turki, Mariem ; Bouattour, Nadia ; Ben Ayed, Houda ; Msaad, Sameh ; Chaari, Imen ; Messedi, Neila ; Gargouri, Rahma ; kamoun, Samy ; Yaich, Sourour ; Aribi, Lobna ; Halouani, Najla ; Ellouze, Sahar ; Aloulou, Jihen</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c1151-6c40b5c5426c4ba1cd189af3c2ff2c3e7a63ecafbd9c7c6ccee4180211c135f23</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Biomedical and Life Sciences</topic><topic>Biomedicine</topic><topic>Body mass index</topic><topic>COVID-19</topic><topic>Dyspnea</topic><topic>Hospitalization</topic><topic>Hospitals</topic><topic>Infections</topic><topic>Long COVID</topic><topic>Medical records</topic><topic>Medical research</topic><topic>Medicine/Public Health</topic><topic>Neurology</topic><topic>Neurosciences</topic><topic>Original Article</topic><topic>Pain</topic><topic>Patients</topic><topic>Psychiatry</topic><topic>Questionnaires</topic><topic>Severe acute respiratory syndrome coronavirus 2</topic><topic>Sleep</topic><topic>Sociodemographics</topic><topic>Well being</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Turki, Mariem</creatorcontrib><creatorcontrib>Bouattour, Nadia</creatorcontrib><creatorcontrib>Ben Ayed, Houda</creatorcontrib><creatorcontrib>Msaad, Sameh</creatorcontrib><creatorcontrib>Chaari, Imen</creatorcontrib><creatorcontrib>Messedi, Neila</creatorcontrib><creatorcontrib>Gargouri, Rahma</creatorcontrib><creatorcontrib>kamoun, Samy</creatorcontrib><creatorcontrib>Yaich, Sourour</creatorcontrib><creatorcontrib>Aribi, Lobna</creatorcontrib><creatorcontrib>Halouani, Najla</creatorcontrib><creatorcontrib>Ellouze, Sahar</creatorcontrib><creatorcontrib>Aloulou, Jihen</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Premium</collection><jtitle>Sleep and vigilance</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Turki, Mariem</au><au>Bouattour, Nadia</au><au>Ben Ayed, Houda</au><au>Msaad, Sameh</au><au>Chaari, Imen</au><au>Messedi, Neila</au><au>Gargouri, Rahma</au><au>kamoun, Samy</au><au>Yaich, Sourour</au><au>Aribi, Lobna</au><au>Halouani, Najla</au><au>Ellouze, Sahar</au><au>Aloulou, Jihen</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Sleep Disturbances in Long COVID: A Cohort Prospective Study</atitle><jtitle>Sleep and vigilance</jtitle><stitle>Sleep Vigilance</stitle><date>2024-12-01</date><risdate>2024</risdate><volume>8</volume><issue>2</issue><spage>291</spage><epage>305</epage><pages>291-305</pages><issn>2510-2265</issn><eissn>2510-2265</eissn><abstract>Purpose
We aimed to determine the incidence of tardive sleep disturbances among patients hospitalized for COVID-19 infection, and to analyze their predictive factors.
Methods
It was a prospective cohort study, conducted in the department of respiratory diseases and Allergy, at Hedi Chaker University Hospital (Sfax-Tunisia). It included inpatients with laboratory-confirmed SARS-CoV-2 infection, who were discharged alive from hospital. The study protocol included 2 steps. First, patients were evaluated during their hospitalization. Then, each eligible patient was assessed 6–9 months after discharge. We thus asked them about fatigability, cognitive impairment and the following scales: the Pittsburgh Sleep Quality Index (PSQI) to assess sleep disturbances; the visual analog scale (VAS) to assess pain; the modified British Medical Research Council (mMRC scale) to evaluate dyspnea; the Patient Health Questionnaire-9 (PHQ-9) to assess depressive symptoms and the Euroqol 5 Dimensions 3 Levels Questionnaire (EQ-5D-3L) to assess the quality of life.
Results
The median age of the participants was 59 years [IQR (53–68)]. Among them, 51.2% were females. According to PSQI, the incidence of sleep disturbances after COVID was 48.8%. In multivariate analysis, predictive factors of sleep disturbances were: VAS score (
β
= 0.35;
p
= 0.007); fatigability (
β
= 1.78;
p
= 0.016); anxiety/depression (
β
= 4.25;
p
< 0.001) and unmarried status (
β
= − 2.56;
p
= 0.044).
Conclusion
Our study highlighted the burden of sleep disturbances in COVID-19 survivors. Screening for these disorders in long haulers helps to maintain a good quality of life, and to prevent ulterior physical or mental complications, in order to promote good health and well-being on physical, psychological and social aspects.</abstract><cop>Singapore</cop><pub>Springer Nature Singapore</pub><doi>10.1007/s41782-024-00288-1</doi><tpages>15</tpages><orcidid>https://orcid.org/0000-0001-9400-4819</orcidid></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 2510-2265 |
| ispartof | Sleep and vigilance, 2024-12, Vol.8 (2), p.291-305 |
| issn | 2510-2265 2510-2265 |
| language | eng |
| recordid | cdi_proquest_journals_3133633962 |
| source | Springer Nature |
| subjects | Biomedical and Life Sciences Biomedicine Body mass index COVID-19 Dyspnea Hospitalization Hospitals Infections Long COVID Medical records Medical research Medicine/Public Health Neurology Neurosciences Original Article Pain Patients Psychiatry Questionnaires Severe acute respiratory syndrome coronavirus 2 Sleep Sociodemographics Well being |
| title | Sleep Disturbances in Long COVID: A Cohort Prospective Study |
| url | http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-29T04%3A32%3A19IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Sleep%20Disturbances%20in%20Long%20COVID:%20A%20Cohort%20Prospective%20Study&rft.jtitle=Sleep%20and%20vigilance&rft.au=Turki,%20Mariem&rft.date=2024-12-01&rft.volume=8&rft.issue=2&rft.spage=291&rft.epage=305&rft.pages=291-305&rft.issn=2510-2265&rft.eissn=2510-2265&rft_id=info:doi/10.1007/s41782-024-00288-1&rft_dat=%3Cproquest_cross%3E3133633962%3C/proquest_cross%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c1151-6c40b5c5426c4ba1cd189af3c2ff2c3e7a63ecafbd9c7c6ccee4180211c135f23%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=3133633962&rft_id=info:pmid/&rfr_iscdi=true |