Mental health and COVID-19 in a general population cohort in Spain (COVICAT study).

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Title: Mental health and COVID-19 in a general population cohort in Spain (COVICAT study).
Authors: Goldberg, X. (AUTHOR), Castaño-Vinyals, G. (AUTHOR), Espinosa, A. (AUTHOR), Carreras, A. (AUTHOR), Liutsko, L. (AUTHOR), Sicuri, E. (AUTHOR), Foraster, M. (AUTHOR), O'Callaghan-Gordo, C. (AUTHOR), Dadvand, P. (AUTHOR), Moncunill, G. (AUTHOR), Dobaño, C. (AUTHOR), Cortés, B. (AUTHOR), Pleguezuelos, V. (AUTHOR), Straif, K. (AUTHOR), Garcia-Aymerich, J. (AUTHOR), de Cid, R. (AUTHOR), Cardis, E. (AUTHOR), Kogevinas, M. (AUTHOR)
Source: Social Psychiatry & Psychiatric Epidemiology. Dec2022, Vol. 57 Issue 12, p2457-2468. 12p.
Subjects: Mental illness, Mental health, Mental depression, COVID-19, Living alone, Stay-at-home orders
Geographic Terms: Catalonia (Spain), Spain
Abstract: Purpose: Mental health conditions may affect outcome of COVID-19 disease, while exposure to stressors during the pandemic may impact mental health. The purpose of this study was to examine these factors in relation to ocurrence of depression and anxiety after the first outbreak in Spain. Methods: We contacted 9515 participants from a population-based cohort study in Catalonia between May and October 2020. We drew blood samples to establish infection to the virus. Pre-pandemic mental health conditions were confirmed through Electronic Health Registries. We used the Hospital Anxiety and Depression Scale to assess severe depression and anxiety post-pandemic. Exposure to proximal, financial and wider environment stressors during the lockdown were collected. We calculated Relative Risks (RR), adjusting for individual- and contextual covariates. Results: Pre-pandemic mental health disorders were not associated with SARS-CoV-2 infection , but were associated with severity of COVID-19 disease. People with pre-existing mental health disorders showed higher prevalence of severe depression (25.4%) and anxiety (37.8%) than those without prior mental disorders (4.9% and 10.1%). Living alone was a strong predictor of severe depression among mental health patients (RR = 1.6, 95% CI 1.2–2.2). Among those without prior mental health disorders, post-lockdown depression and anxiety were associated with household interpersonal conflicts (RR = 2.6, 95% CI 2.1–3.1; RR = 2.1, 95% CI 1.9–2.4) and financial instability (RR = 2.2, 95% CI 1.8–2.9; 1.9, 95% CI 1.6–2.2). Conclusions: The COVID-19 pandemic and the lockdown were associated with increased post-lockdown depression and anxiety. Patients with pre-existing mental health conditions are a vulnerable group for severe COVID-19 disease. [ABSTRACT FROM AUTHOR]
Copyright of Social Psychiatry & Psychiatric Epidemiology is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Mental health and COVID-19 in a general population cohort in Spain (COVICAT study).
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  Data: <searchLink fieldCode="AR" term="%22Goldberg%2C+X%2E%22">Goldberg, X.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Castaño-Vinyals%2C+G%2E%22">Castaño-Vinyals, G.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Espinosa%2C+A%2E%22">Espinosa, A.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Carreras%2C+A%2E%22">Carreras, A.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Liutsko%2C+L%2E%22">Liutsko, L.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Sicuri%2C+E%2E%22">Sicuri, E.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Foraster%2C+M%2E%22">Foraster, M.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22O'Callaghan-Gordo%2C+C%2E%22">O'Callaghan-Gordo, C.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Dadvand%2C+P%2E%22">Dadvand, P.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Moncunill%2C+G%2E%22">Moncunill, G.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Dobaño%2C+C%2E%22">Dobaño, C.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Cortés%2C+B%2E%22">Cortés, B.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Pleguezuelos%2C+V%2E%22">Pleguezuelos, V.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Straif%2C+K%2E%22">Straif, K.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Garcia-Aymerich%2C+J%2E%22">Garcia-Aymerich, J.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22de+Cid%2C+R%2E%22">de Cid, R.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Cardis%2C+E%2E%22">Cardis, E.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Kogevinas%2C+M%2E%22">Kogevinas, M.</searchLink> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Social+Psychiatry+%26+Psychiatric+Epidemiology%22">Social Psychiatry & Psychiatric Epidemiology</searchLink>. Dec2022, Vol. 57 Issue 12, p2457-2468. 12p.
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  Data: <searchLink fieldCode="DE" term="%22Mental+illness%22">Mental illness</searchLink><br /><searchLink fieldCode="DE" term="%22Mental+health%22">Mental health</searchLink><br /><searchLink fieldCode="DE" term="%22Mental+depression%22">Mental depression</searchLink><br /><searchLink fieldCode="DE" term="%22COVID-19%22">COVID-19</searchLink><br /><searchLink fieldCode="DE" term="%22Living+alone%22">Living alone</searchLink><br /><searchLink fieldCode="DE" term="%22Stay-at-home+orders%22">Stay-at-home orders</searchLink>
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  Data: <searchLink fieldCode="DE" term="%22Catalonia+%28Spain%29%22">Catalonia (Spain)</searchLink><br /><searchLink fieldCode="DE" term="%22Spain%22">Spain</searchLink>
– Name: Abstract
  Label: Abstract
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  Data: Purpose: Mental health conditions may affect outcome of COVID-19 disease, while exposure to stressors during the pandemic may impact mental health. The purpose of this study was to examine these factors in relation to ocurrence of depression and anxiety after the first outbreak in Spain. Methods: We contacted 9515 participants from a population-based cohort study in Catalonia between May and October 2020. We drew blood samples to establish infection to the virus. Pre-pandemic mental health conditions were confirmed through Electronic Health Registries. We used the Hospital Anxiety and Depression Scale to assess severe depression and anxiety post-pandemic. Exposure to proximal, financial and wider environment stressors during the lockdown were collected. We calculated Relative Risks (RR), adjusting for individual- and contextual covariates. Results: Pre-pandemic mental health disorders were not associated with SARS-CoV-2 infection , but were associated with severity of COVID-19 disease. People with pre-existing mental health disorders showed higher prevalence of severe depression (25.4%) and anxiety (37.8%) than those without prior mental disorders (4.9% and 10.1%). Living alone was a strong predictor of severe depression among mental health patients (RR = 1.6, 95% CI 1.2–2.2). Among those without prior mental health disorders, post-lockdown depression and anxiety were associated with household interpersonal conflicts (RR = 2.6, 95% CI 2.1–3.1; RR = 2.1, 95% CI 1.9–2.4) and financial instability (RR = 2.2, 95% CI 1.8–2.9; 1.9, 95% CI 1.6–2.2). Conclusions: The COVID-19 pandemic and the lockdown were associated with increased post-lockdown depression and anxiety. Patients with pre-existing mental health conditions are a vulnerable group for severe COVID-19 disease. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Social Psychiatry & Psychiatric Epidemiology is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1007/s00127-022-02303-0
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