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Investigating the impact of COVID-19 lockdown on adults with a recent history of recurrent major depressive disorder: a multi-Centre study using remote measurement technology
BACKGROUND: The outbreak of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), which causes a clinical illness Covid-19, has had a major impact on mental health globally. Those diagnosed with major depressive disorder (MDD) may be negatively impacted by the global pandemic due to social i...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8419819/ https://www.ncbi.nlm.nih.gov/pubmed/34488697 http://dx.doi.org/10.1186/s12888-021-03434-5 |
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author | Leightley, Daniel Lavelle, Grace White, Katie M. Sun, Shaoxiong Matcham, Faith Ivan, Alina Oetzmann, Carolin Penninx, Brenda W. J. H. Lamers, Femke Siddi, Sara Haro, Josep Mario Myin-Germeys, Inez Bruce, Stuart Nica, Raluca Wickersham, Alice Annas, Peter Mohr, David C. Simblett, Sara Wykes, Til Cummins, Nicholas Folarin, Amos Akinola Conde, Pauline Ranjan, Yatharth Dobson, Richard J. B. Narayan, Viabhav A. Hotopf, Mathew |
author_facet | Leightley, Daniel Lavelle, Grace White, Katie M. Sun, Shaoxiong Matcham, Faith Ivan, Alina Oetzmann, Carolin Penninx, Brenda W. J. H. Lamers, Femke Siddi, Sara Haro, Josep Mario Myin-Germeys, Inez Bruce, Stuart Nica, Raluca Wickersham, Alice Annas, Peter Mohr, David C. Simblett, Sara Wykes, Til Cummins, Nicholas Folarin, Amos Akinola Conde, Pauline Ranjan, Yatharth Dobson, Richard J. B. Narayan, Viabhav A. Hotopf, Mathew |
author_sort | Leightley, Daniel |
collection | PubMed |
description | BACKGROUND: The outbreak of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), which causes a clinical illness Covid-19, has had a major impact on mental health globally. Those diagnosed with major depressive disorder (MDD) may be negatively impacted by the global pandemic due to social isolation, feelings of loneliness or lack of access to care. This study seeks to assess the impact of the 1st lockdown – pre-, during and post – in adults with a recent history of MDD across multiple centres. METHODS: This study is a secondary analysis of an on-going cohort study, RADAR-MDD project, a multi-centre study examining the use of remote measurement technology (RMT) in monitoring MDD. Self-reported questionnaire and passive data streams were analysed from participants who had joined the project prior to 1st December 2019 and had completed Patient Health and Self-esteem Questionnaires during the pandemic (n = 252). We used mixed models for repeated measures to estimate trajectories of depressive symptoms, self-esteem, and sleep duration. RESULTS: In our sample of 252 participants, 48% (n = 121) had clinically relevant depressive symptoms shortly before the pandemic. For the sample as a whole, we found no evidence that depressive symptoms or self-esteem changed between pre-, during- and post-lockdown. However, we found evidence that mean sleep duration (in minutes) decreased significantly between during- and post- lockdown (− 12.16; 95% CI − 18.39 to − 5.92; p < 0.001). We also found that those experiencing clinically relevant depressive symptoms shortly before the pandemic showed a decrease in depressive symptoms, self-esteem and sleep duration between pre- and during- lockdown (interaction p = 0.047, p = 0.045 and p < 0.001, respectively) as compared to those who were not. CONCLUSIONS: We identified changes in depressive symptoms and sleep duration over the course of lockdown, some of which varied according to whether participants were experiencing clinically relevant depressive symptoms shortly prior to the pandemic. However, the results of this study suggest that those with MDD do not experience a significant worsening in symptoms during the first months of the Covid − 19 pandemic. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12888-021-03434-5. |
format | Online Article Text |
id | pubmed-8419819 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-84198192021-09-07 Investigating the impact of COVID-19 lockdown on adults with a recent history of recurrent major depressive disorder: a multi-Centre study using remote measurement technology Leightley, Daniel Lavelle, Grace White, Katie M. Sun, Shaoxiong Matcham, Faith Ivan, Alina Oetzmann, Carolin Penninx, Brenda W. J. H. Lamers, Femke Siddi, Sara Haro, Josep Mario Myin-Germeys, Inez Bruce, Stuart Nica, Raluca Wickersham, Alice Annas, Peter Mohr, David C. Simblett, Sara Wykes, Til Cummins, Nicholas Folarin, Amos Akinola Conde, Pauline Ranjan, Yatharth Dobson, Richard J. B. Narayan, Viabhav A. Hotopf, Mathew BMC Psychiatry Research BACKGROUND: The outbreak of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), which causes a clinical illness Covid-19, has had a major impact on mental health globally. Those diagnosed with major depressive disorder (MDD) may be negatively impacted by the global pandemic due to social isolation, feelings of loneliness or lack of access to care. This study seeks to assess the impact of the 1st lockdown – pre-, during and post – in adults with a recent history of MDD across multiple centres. METHODS: This study is a secondary analysis of an on-going cohort study, RADAR-MDD project, a multi-centre study examining the use of remote measurement technology (RMT) in monitoring MDD. Self-reported questionnaire and passive data streams were analysed from participants who had joined the project prior to 1st December 2019 and had completed Patient Health and Self-esteem Questionnaires during the pandemic (n = 252). We used mixed models for repeated measures to estimate trajectories of depressive symptoms, self-esteem, and sleep duration. RESULTS: In our sample of 252 participants, 48% (n = 121) had clinically relevant depressive symptoms shortly before the pandemic. For the sample as a whole, we found no evidence that depressive symptoms or self-esteem changed between pre-, during- and post-lockdown. However, we found evidence that mean sleep duration (in minutes) decreased significantly between during- and post- lockdown (− 12.16; 95% CI − 18.39 to − 5.92; p < 0.001). We also found that those experiencing clinically relevant depressive symptoms shortly before the pandemic showed a decrease in depressive symptoms, self-esteem and sleep duration between pre- and during- lockdown (interaction p = 0.047, p = 0.045 and p < 0.001, respectively) as compared to those who were not. CONCLUSIONS: We identified changes in depressive symptoms and sleep duration over the course of lockdown, some of which varied according to whether participants were experiencing clinically relevant depressive symptoms shortly prior to the pandemic. However, the results of this study suggest that those with MDD do not experience a significant worsening in symptoms during the first months of the Covid − 19 pandemic. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12888-021-03434-5. BioMed Central 2021-09-06 /pmc/articles/PMC8419819/ /pubmed/34488697 http://dx.doi.org/10.1186/s12888-021-03434-5 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Leightley, Daniel Lavelle, Grace White, Katie M. Sun, Shaoxiong Matcham, Faith Ivan, Alina Oetzmann, Carolin Penninx, Brenda W. J. H. Lamers, Femke Siddi, Sara Haro, Josep Mario Myin-Germeys, Inez Bruce, Stuart Nica, Raluca Wickersham, Alice Annas, Peter Mohr, David C. Simblett, Sara Wykes, Til Cummins, Nicholas Folarin, Amos Akinola Conde, Pauline Ranjan, Yatharth Dobson, Richard J. B. Narayan, Viabhav A. Hotopf, Mathew Investigating the impact of COVID-19 lockdown on adults with a recent history of recurrent major depressive disorder: a multi-Centre study using remote measurement technology |
title | Investigating the impact of COVID-19 lockdown on adults with a recent history of recurrent major depressive disorder: a multi-Centre study using remote measurement technology |
title_full | Investigating the impact of COVID-19 lockdown on adults with a recent history of recurrent major depressive disorder: a multi-Centre study using remote measurement technology |
title_fullStr | Investigating the impact of COVID-19 lockdown on adults with a recent history of recurrent major depressive disorder: a multi-Centre study using remote measurement technology |
title_full_unstemmed | Investigating the impact of COVID-19 lockdown on adults with a recent history of recurrent major depressive disorder: a multi-Centre study using remote measurement technology |
title_short | Investigating the impact of COVID-19 lockdown on adults with a recent history of recurrent major depressive disorder: a multi-Centre study using remote measurement technology |
title_sort | investigating the impact of covid-19 lockdown on adults with a recent history of recurrent major depressive disorder: a multi-centre study using remote measurement technology |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8419819/ https://www.ncbi.nlm.nih.gov/pubmed/34488697 http://dx.doi.org/10.1186/s12888-021-03434-5 |
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