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The impact of COVID-19 lockdown on a cohort of adults with recurrent major depressive disorder from Catalonia: a decentralized longitudinal study using remote measurement technology (preprint)
medrxiv; 2023.
Preprint in English | medRxiv | ID: ppzbmed-10.1101.2023.01.24.23284906
ABSTRACT
The present study analyzes the effects on depression levels of each containment phase of the first wave of COVID-19 in a cohort of adults with a history of major depressive disorder (MDD). This analysis is part of the Remote Assessment of Disease and Relapse-MDD (RADAR-MDD) study. Depression was evaluated with the Patient Health Questionnaire-8 (PHQ-8) and anxiety with the Generalized Anxiety Disorder-7 (GAD-7). A total of 121 participants from Catalonia were registered from November 1, 2019, to October 16, 2020. Levels of depression were explored across the phases (pre-lockdown, lockdown, four post-lockdown phases) of the restrictions imposed by the Spanish/Catalan governments. Then, a mixed model was fitted to estimate how depression varied over the phases. A significant rise in the depressive severity was found during the lockdown and phase 0 (early post-lockdown), as compared with pre-lockdown phase in this sample with a history of MDD. Those with low pre-lockdown depression experienced a higher increase in depression levels during the new-normality. We observed a significant decrease in the depression levels during the new-normality in those with high pre-lockdown depression, compared to the pre-lockdown period. These findings suggest that COVID-19 restrictions impacted on the depression of individuals diagnosed with MDD, depending on their pre-lockdown depression levels.
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Full text: Available Collection: Preprints Database: medRxiv Main subject: Anxiety Disorders / Depressive Disorder, Major / Depressive Disorder / COVID-19 Language: English Year: 2023 Document Type: Preprint

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Full text: Available Collection: Preprints Database: medRxiv Main subject: Anxiety Disorders / Depressive Disorder, Major / Depressive Disorder / COVID-19 Language: English Year: 2023 Document Type: Preprint