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Sleep Quality, Insomnia, Anxiety, Fatigue, Stress, Memory and Active Coping during the COVID-19 Pandemic
Background: The current study aimed to evaluate the impact of the coronavirus (COVID-19) pandemic on sleep quality, insomnia, anxiety, stress, fatigue and active coping in the United States. Methods: This was a cross-sectional study using a publicly available database taken from the Boston College C...
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Published in: | International journal of environmental research and public health 2022-04, Vol.19 (9), p.4940 |
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creator | Alqahtani, Jaber S AlRabeeah, Saad M Aldhahir, Abdulelah M Siraj, Rayan Aldabayan, Yousef S Alghamdi, Saeed M Alqahtani, Abdullah S Alsaif, Sulaiman S Naser, Abdallah Y Alwafi, Hassan |
description | Background: The current study aimed to evaluate the impact of the coronavirus (COVID-19) pandemic on sleep quality, insomnia, anxiety, stress, fatigue and active coping in the United States. Methods: This was a cross-sectional study using a publicly available database taken from the Boston College COVID-19 Sleep and Well-Being Dataset. We have selected the most recent data that included information about sleep quality and other measures, including insomnia, anxiety, stress, fatigue and coping, collected between 22 February−8 March 2021. Results: A total of 476 subjects were included in the analysis. The mean (SD) age of the study population was 38.8 (17.8) years, and there were more females (85%) than males. The population had a mean (SD) score of the Pittsburgh Sleep Quality Index (PSQI) of 6 (3.2), with 65% having the prevalence of poor sleep quality (defined as PSQ ≥ 5; n = 311). The mean (SD) score for Insomnia Severity Index (ISI) was 6.9 (5.2), with 55 subjects (11.5%) having clinical insomnia (defined as ISI ≥ 15); of whom 9% had severe clinical insomnia. There were positive correlations between PSQI and ISI (r = 0.76, p < 0.001), PROMIS fatigue scale (r = 0.53, p < 0.001), Generalized Anxiety Disorder-7 (GAD-7) (r = 0.46, p < 0.001), and Perceived Stress Scale (PSS) (r = 0.44, p < 0.001). The PSQI was inversely correlated with the John Henryism Active Coping Scale (JHACS) and memory scale. In the multivariate regression model, JHACS, ISI, fatigue, PSS and GAD-7 were significant predictors of PSQI, and these variables accounted for 62% of the variance of PSQI, adjusted for age and gender. Conclusion: An important contribution to the literature is made by this research, which demonstrates the significant prevalence of poor sleep quality and its association with insomnia and other mental and physical well-being. It also underlines the need to prioritise policy and public health efforts to address sleep issues that have substantial health and economic effects for both individuals and the population at large. |
doi_str_mv | 10.3390/ijerph19094940 |
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Methods: This was a cross-sectional study using a publicly available database taken from the Boston College COVID-19 Sleep and Well-Being Dataset. We have selected the most recent data that included information about sleep quality and other measures, including insomnia, anxiety, stress, fatigue and coping, collected between 22 February−8 March 2021. Results: A total of 476 subjects were included in the analysis. The mean (SD) age of the study population was 38.8 (17.8) years, and there were more females (85%) than males. The population had a mean (SD) score of the Pittsburgh Sleep Quality Index (PSQI) of 6 (3.2), with 65% having the prevalence of poor sleep quality (defined as PSQ ≥ 5; n = 311). The mean (SD) score for Insomnia Severity Index (ISI) was 6.9 (5.2), with 55 subjects (11.5%) having clinical insomnia (defined as ISI ≥ 15); of whom 9% had severe clinical insomnia. There were positive correlations between PSQI and ISI (r = 0.76, p < 0.001), PROMIS fatigue scale (r = 0.53, p < 0.001), Generalized Anxiety Disorder-7 (GAD-7) (r = 0.46, p < 0.001), and Perceived Stress Scale (PSS) (r = 0.44, p < 0.001). The PSQI was inversely correlated with the John Henryism Active Coping Scale (JHACS) and memory scale. In the multivariate regression model, JHACS, ISI, fatigue, PSS and GAD-7 were significant predictors of PSQI, and these variables accounted for 62% of the variance of PSQI, adjusted for age and gender. Conclusion: An important contribution to the literature is made by this research, which demonstrates the significant prevalence of poor sleep quality and its association with insomnia and other mental and physical well-being. It also underlines the need to prioritise policy and public health efforts to address sleep issues that have substantial health and economic effects for both individuals and the population at large.</description><identifier>ISSN: 1660-4601</identifier><identifier>ISSN: 1661-7827</identifier><identifier>EISSN: 1660-4601</identifier><identifier>DOI: 10.3390/ijerph19094940</identifier><identifier>PMID: 35564337</identifier><language>eng</language><publisher>Switzerland: MDPI AG</publisher><subject>Adaptation, Psychological ; Adult ; Anxiety ; Anxiety - epidemiology ; Anxiety disorders ; Anxiety Disorders - epidemiology ; Coping ; Coronaviruses ; COVID-19 ; COVID-19 - epidemiology ; Cross-Sectional Studies ; Disease transmission ; Economic impact ; Epidemics ; Fatigue ; Fatigue - epidemiology ; Female ; Humans ; Infections ; Insomnia ; Male ; Mental disorders ; Mental health ; Pandemics ; Population studies ; Public health ; Regression analysis ; Sleep ; Sleep disorders ; Sleep Initiation and Maintenance Disorders - epidemiology ; Sleep Quality ; Stress ; Variables ; Well being</subject><ispartof>International journal of environmental research and public health, 2022-04, Vol.19 (9), p.4940</ispartof><rights>2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). 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Methods: This was a cross-sectional study using a publicly available database taken from the Boston College COVID-19 Sleep and Well-Being Dataset. We have selected the most recent data that included information about sleep quality and other measures, including insomnia, anxiety, stress, fatigue and coping, collected between 22 February−8 March 2021. Results: A total of 476 subjects were included in the analysis. The mean (SD) age of the study population was 38.8 (17.8) years, and there were more females (85%) than males. The population had a mean (SD) score of the Pittsburgh Sleep Quality Index (PSQI) of 6 (3.2), with 65% having the prevalence of poor sleep quality (defined as PSQ ≥ 5; n = 311). The mean (SD) score for Insomnia Severity Index (ISI) was 6.9 (5.2), with 55 subjects (11.5%) having clinical insomnia (defined as ISI ≥ 15); of whom 9% had severe clinical insomnia. There were positive correlations between PSQI and ISI (r = 0.76, p < 0.001), PROMIS fatigue scale (r = 0.53, p < 0.001), Generalized Anxiety Disorder-7 (GAD-7) (r = 0.46, p < 0.001), and Perceived Stress Scale (PSS) (r = 0.44, p < 0.001). The PSQI was inversely correlated with the John Henryism Active Coping Scale (JHACS) and memory scale. In the multivariate regression model, JHACS, ISI, fatigue, PSS and GAD-7 were significant predictors of PSQI, and these variables accounted for 62% of the variance of PSQI, adjusted for age and gender. Conclusion: An important contribution to the literature is made by this research, which demonstrates the significant prevalence of poor sleep quality and its association with insomnia and other mental and physical well-being. It also underlines the need to prioritise policy and public health efforts to address sleep issues that have substantial health and economic effects for both individuals and the population at large.</description><subject>Adaptation, Psychological</subject><subject>Adult</subject><subject>Anxiety</subject><subject>Anxiety - epidemiology</subject><subject>Anxiety disorders</subject><subject>Anxiety Disorders - epidemiology</subject><subject>Coping</subject><subject>Coronaviruses</subject><subject>COVID-19</subject><subject>COVID-19 - epidemiology</subject><subject>Cross-Sectional Studies</subject><subject>Disease transmission</subject><subject>Economic impact</subject><subject>Epidemics</subject><subject>Fatigue</subject><subject>Fatigue - epidemiology</subject><subject>Female</subject><subject>Humans</subject><subject>Infections</subject><subject>Insomnia</subject><subject>Male</subject><subject>Mental disorders</subject><subject>Mental health</subject><subject>Pandemics</subject><subject>Population studies</subject><subject>Public health</subject><subject>Regression analysis</subject><subject>Sleep</subject><subject>Sleep disorders</subject><subject>Sleep Initiation and Maintenance Disorders - epidemiology</subject><subject>Sleep Quality</subject><subject>Stress</subject><subject>Variables</subject><subject>Well being</subject><issn>1660-4601</issn><issn>1661-7827</issn><issn>1660-4601</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>COVID</sourceid><sourceid>PIMPY</sourceid><recordid>eNpdkc1vEzEQxS1ERUvhyhFZ4sIhW_y1dnxBigKlkVoVVOBq2c4kcbRrL_ZuRf57dtUPtZzeaPybNx49hN5Rcsa5Jp_CHnK3o5pooQV5gU6olKQSktCXT-pj9LqUPSF8LqR-hY55XUvBuTpBu5sGoMM_BtuE_jDDq1hSG4Od4UX8G2Bqnds-bAeY4Zs-QykzfAVtygds4xovfB9uAS9TF-IWr4c8Sb8bO9e_V18qqvH3EYM2-DfoaGObAm_v9RT9Ov_6c3lRXV5_Wy0Xl5UXdN5XYKVbawFOOScUcczXVHOpFQEvGXVAR1V2wwQjRDolhaXUOllLYMwrxU_R5zvfbnAtrD3EPtvGdDm0Nh9MssE8f4lhZ7bp1mhKhKr1aPDx3iCnPwOU3rSheGgaGyENxTAphZorXk-7PvyH7tOQ43jeRDGtGRH1SJ3dUT6nUjJsHj9DiZlCNM9DHAfePz3hEX9Ijf8DrBSYCw</recordid><startdate>20220419</startdate><enddate>20220419</enddate><creator>Alqahtani, Jaber S</creator><creator>AlRabeeah, Saad M</creator><creator>Aldhahir, Abdulelah M</creator><creator>Siraj, Rayan</creator><creator>Aldabayan, Yousef S</creator><creator>Alghamdi, Saeed M</creator><creator>Alqahtani, Abdullah S</creator><creator>Alsaif, Sulaiman S</creator><creator>Naser, Abdallah Y</creator><creator>Alwafi, Hassan</creator><general>MDPI AG</general><general>MDPI</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8C1</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>COVID</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9.</scope><scope>M0S</scope><scope>M1P</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0002-4270-9494</orcidid><orcidid>https://orcid.org/0000-0001-6110-9200</orcidid><orcidid>https://orcid.org/0000-0002-6677-1110</orcidid><orcidid>https://orcid.org/0000-0003-1795-5092</orcidid><orcidid>https://orcid.org/0000-0001-8440-7446</orcidid></search><sort><creationdate>20220419</creationdate><title>Sleep Quality, Insomnia, Anxiety, Fatigue, Stress, Memory and Active Coping during the COVID-19 Pandemic</title><author>Alqahtani, Jaber S ; 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Methods: This was a cross-sectional study using a publicly available database taken from the Boston College COVID-19 Sleep and Well-Being Dataset. We have selected the most recent data that included information about sleep quality and other measures, including insomnia, anxiety, stress, fatigue and coping, collected between 22 February−8 March 2021. Results: A total of 476 subjects were included in the analysis. The mean (SD) age of the study population was 38.8 (17.8) years, and there were more females (85%) than males. The population had a mean (SD) score of the Pittsburgh Sleep Quality Index (PSQI) of 6 (3.2), with 65% having the prevalence of poor sleep quality (defined as PSQ ≥ 5; n = 311). The mean (SD) score for Insomnia Severity Index (ISI) was 6.9 (5.2), with 55 subjects (11.5%) having clinical insomnia (defined as ISI ≥ 15); of whom 9% had severe clinical insomnia. There were positive correlations between PSQI and ISI (r = 0.76, p < 0.001), PROMIS fatigue scale (r = 0.53, p < 0.001), Generalized Anxiety Disorder-7 (GAD-7) (r = 0.46, p < 0.001), and Perceived Stress Scale (PSS) (r = 0.44, p < 0.001). The PSQI was inversely correlated with the John Henryism Active Coping Scale (JHACS) and memory scale. In the multivariate regression model, JHACS, ISI, fatigue, PSS and GAD-7 were significant predictors of PSQI, and these variables accounted for 62% of the variance of PSQI, adjusted for age and gender. Conclusion: An important contribution to the literature is made by this research, which demonstrates the significant prevalence of poor sleep quality and its association with insomnia and other mental and physical well-being. 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subjects | Adaptation, Psychological Adult Anxiety Anxiety - epidemiology Anxiety disorders Anxiety Disorders - epidemiology Coping Coronaviruses COVID-19 COVID-19 - epidemiology Cross-Sectional Studies Disease transmission Economic impact Epidemics Fatigue Fatigue - epidemiology Female Humans Infections Insomnia Male Mental disorders Mental health Pandemics Population studies Public health Regression analysis Sleep Sleep disorders Sleep Initiation and Maintenance Disorders - epidemiology Sleep Quality Stress Variables Well being |
title | Sleep Quality, Insomnia, Anxiety, Fatigue, Stress, Memory and Active Coping during the COVID-19 Pandemic |
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