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.


Journal

BMC psychiatry
ISSN: 1471-244X
Titre abrégé: BMC Psychiatry
Pays: England
ID NLM: 100968559

Informations de publication

Date de publication:
06 09 2021
Historique:
received: 20 03 2021
accepted: 17 08 2021
entrez: 7 9 2021
pubmed: 8 9 2021
medline: 10 9 2021
Statut: epublish

Résumé

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. 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. 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. 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.

Sections du résumé

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.

Identifiants

pubmed: 34488697
doi: 10.1186/s12888-021-03434-5
pii: 10.1186/s12888-021-03434-5
pmc: PMC8419819
doi:

Types de publication

Journal Article Multicenter Study Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

435

Subventions

Organisme : Alzheimer's Society
ID : 171
Pays : United Kingdom
Organisme : Medical Research Council
ID : MC_PC_17214
Pays : United Kingdom

Informations de copyright

© 2021. The Author(s).

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Auteurs

Daniel Leightley (D)

Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK. daniel.leightley@kcl.ac.uk.

Grace Lavelle (G)

Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.

Katie M White (KM)

Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.

Shaoxiong Sun (S)

Department of Biostatistics and Health Informatics, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.

Faith Matcham (F)

Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.

Alina Ivan (A)

Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.

Carolin Oetzmann (C)

Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.

Brenda W J H Penninx (BWJH)

Department of Psychiatry, Amsterdam UMC, Vrije Universiteit, Amsterdam, The Netherlands.

Femke Lamers (F)

Department of Psychiatry, Amsterdam UMC, Vrije Universiteit, Amsterdam, The Netherlands.

Sara Siddi (S)

Parc Sanitari Sant Joan de Déu, Fundació Sant Joan de Déu, Barcelona, Spain.
Universitat de Barcelona, Barcelona, Spain.
Centro de Investigación Biomédica en Red de Salud Mental, CIBERSAM, Madrid, Spain.

Josep Mario Haro (JM)

Parc Sanitari Sant Joan de Déu, Fundació Sant Joan de Déu, Barcelona, Spain.
Universitat de Barcelona, Barcelona, Spain.
Centro de Investigación Biomédica en Red de Salud Mental, CIBERSAM, Madrid, Spain.

Inez Myin-Germeys (I)

Center for Contextual Psychiatry, Department of Neurosciences, KU Leuven, Leuven, Belgium.

Stuart Bruce (S)

RADAR-CNS Patient Advisory Board, King's College London, London, UK.

Raluca Nica (R)

RADAR-CNS Patient Advisory Board, King's College London, London, UK.
Romanian League for Mental Health, London, UK.

Alice Wickersham (A)

Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.

Peter Annas (P)

H. Lundbeck A/S, Copenhagen, Denmark.

David C Mohr (DC)

Center for Behavioral Intervention Technologies, Northwestern University, Chicago, USA.

Sara Simblett (S)

King's College London, Institute of Psychiatry, Psychology & Neuroscience, London, UK.

Til Wykes (T)

King's College London, Institute of Psychiatry, Psychology & Neuroscience, London, UK.

Nicholas Cummins (N)

Department of Biostatistics and Health Informatics, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
Chair of Embedded Intelligence for Health Care & Wellbeing, University of Augsburg, Augsburg, Germany.

Amos Akinola Folarin (AA)

Department of Biostatistics and Health Informatics, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
South London and Maudsley NHS Foundation Trust, London, UK.
Institute of Health Informatics, University College London, London, UK.

Pauline Conde (P)

Department of Biostatistics and Health Informatics, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.

Yatharth Ranjan (Y)

Department of Biostatistics and Health Informatics, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.

Richard J B Dobson (RJB)

Department of Biostatistics and Health Informatics, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
Maudsley Biomedical Research Centre, National Institute for Health Research, South London and Maudsley NHS Foundation Trust, London, UK.

Viabhav A Narayan (VA)

Janssen Research and Development, LLC, Titusville, NJ, USA.

Mathew Hotopf (M)

Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
Maudsley Biomedical Research Centre, National Institute for Health Research, South London and Maudsley NHS Foundation Trust, London, UK.

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