Evidence map›Paper›PMID 34488697›Full record

ArticleBMC psychiatry2021

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.

Daniel Leightley, Grace Lavelle, Katie M White, Shaoxiong Sun, Faith Matcham, Alina Ivan, Carolin Oetzmann, Brenda W J H Penninx, Femke Lamers, Sara Siddi and 17 more

Open access · goldAbstract readMulticenter Study
In one paragraph

Article in BMC psychiatry, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 2 pooled it
3.1field-weighted citation impact, top 8% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

18 citing papers in PubMed, 2 syntheses or guidelines pooled it, 24 citations in OpenAlex.

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  7. Biomarker-Guided Tailored Therapy in Major Depression.Advances in experimental medicine and biology · 2024
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

27 authors at 8 institutions in 7 countries.

Daniel LeightleyDepartment of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK. daniel.leightley@kcl.ac.uk.
Grace LavelleDepartment of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
Katie M WhiteDepartment of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
Shaoxiong SunDepartment of Biostatistics and Health Informatics, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
Faith MatchamDepartment of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
Alina IvanDepartment of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
Carolin OetzmannDepartment of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
Brenda W J H PenninxDepartment of Psychiatry, Amsterdam UMC, Vrije Universiteit, Amsterdam, The Netherlands.
Femke LamersDepartment of Psychiatry, Amsterdam UMC, Vrije Universiteit, Amsterdam, The Netherlands.
Sara SiddiParc Sanitari Sant Joan de Déu, Fundació Sant Joan de Déu, Barcelona, Spain.
Josep Mario HaroParc Sanitari Sant Joan de Déu, Fundació Sant Joan de Déu, Barcelona, Spain.
Inez Myin-GermeysCenter for Contextual Psychiatry, Department of Neurosciences, KU Leuven, Leuven, Belgium.
Stuart BruceRADAR-CNS Patient Advisory Board, King's College London, London, UK.
Raluca NicaRADAR-CNS Patient Advisory Board, King's College London, London, UK.
Alice WickershamDepartment of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
Peter AnnasH. Lundbeck A/S, Copenhagen, Denmark.
David C MohrCenter for Behavioral Intervention Technologies, Northwestern University, Chicago, USA.
Sara SimblettKing's College London, Institute of Psychiatry, Psychology & Neuroscience, London, UK.
Til WykesKing's College London, Institute of Psychiatry, Psychology & Neuroscience, London, UK.
Nicholas CumminsDepartment of Biostatistics and Health Informatics, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
Amos Akinola FolarinDepartment of Biostatistics and Health Informatics, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
Pauline CondeDepartment of Biostatistics and Health Informatics, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
Yatharth RanjanDepartment of Biostatistics and Health Informatics, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
Richard J B DobsonDepartment of Biostatistics and Health Informatics, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
Viabhav A NarayanJanssen Research and Development, LLC, Titusville, NJ, USA.
Mathew HotopfDepartment of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
RADAR-CNS Consortium
King's College London · GBCentro de Investigación Biomédica en Red de Salud Mental · ESSouth London and Maudsley NHS Foundation Trust · GBVrije Universiteit Amsterdam · NLBehavioral Tech · USJanssen (United States) · USKU Leuven · BELundbeck (Denmark) · DK

Funding

Medical Research Council MC_PC_17214
6 · The paper itself

Abstract

backgroundThe 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.

methodsThis 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.

resultsIn 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.

conclusionsWe 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.

Indexed as

COVID-19Major Depressive DisorderAdultCohort StudiesCommunicable Disease ControlDepressionHumansSARS-CoV-2TechnologyMajor depressive disorderMobile healthRemote measurement technology

Identifiers

PMID34488697
PMCPMC8419819
OpenAlexW3198071978

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.