Cargando…

Depression trajectories during the COVID-19 pandemic in the high-quality health care setting of Switzerland: the COVCO-Basel cohort

OBJECTIVES: During the pandemic, Switzerland avoided stringent lockdowns and provided funds to stabilize the economy. To assess whether and in what subgroups the pandemic impacted on depressive symptoms in this specific Swiss context, we derived depression trajectories over an extended pandemic peri...

Descripción completa

Detalles Bibliográficos
Autores principales: Probst-Hensch, N., Jeong, A., Keidel, D., Imboden, M., Lovison, G.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Authors. Published by Elsevier Ltd on behalf of The Royal Society for Public Health. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9841075/
https://www.ncbi.nlm.nih.gov/pubmed/36854252
http://dx.doi.org/10.1016/j.puhe.2023.01.010
_version_ 1784869751311302656
author Probst-Hensch, N.
Jeong, A.
Keidel, D.
Imboden, M.
Lovison, G.
author_facet Probst-Hensch, N.
Jeong, A.
Keidel, D.
Imboden, M.
Lovison, G.
author_sort Probst-Hensch, N.
collection PubMed
description OBJECTIVES: During the pandemic, Switzerland avoided stringent lockdowns and provided funds to stabilize the economy. To assess whether and in what subgroups the pandemic impacted on depressive symptoms in this specific Swiss context, we derived depression trajectories over an extended pandemic period in a Swiss cohort and related them to individuals' sociodemographic characteristics. STUDY DESIGN: This was a population-based cohort study. METHODS: The population-based COVCO-Basel cohort in North-Western Switzerland invited 112,848 adult residents of whom 12,724 participated at baseline. Between July 2020 and December 2021, 6396 participants answered to additional 18 monthly online questionnaires. Depression symptoms were repeatedly measured by the DASS-21 scale. Group-based Trajectory Models methods were applied to identify clusters of similar depression trajectories. Trajectory clusters were characterized descriptively and with a Multinomial response model. RESULTS: Three distinct trajectories were identified. The ‘Highly affected’ trajectory (13%) had a larger presence of younger and female participants with lower average income, higher levels of past depression, and living alone. A majority of individuals in the ‘Unaffected’ trajectory (52%) were of medium or high average income, older average age, without previous depression symptoms, and not living alone. The ‘Moderately affected’ trajectory (35%) had a composition intermediate between the two opposite ‘extreme’ trajectories. CONCLUSIONS: This study is among few studies investigating depression trajectories up to the time when COVID-19 vaccination was readily available to the entire population. During these 18 months of the pandemic, depressive symptoms increased in a substantial percentage of participants. Economic support, high-quality health care system, and moderate containment measures did not sufficiently protect all population subgroups from adverse, potentially long-term psychological pandemic impacts.
format Online
Article
Text
id pubmed-9841075
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher The Authors. Published by Elsevier Ltd on behalf of The Royal Society for Public Health.
record_format MEDLINE/PubMed
spelling pubmed-98410752023-01-17 Depression trajectories during the COVID-19 pandemic in the high-quality health care setting of Switzerland: the COVCO-Basel cohort Probst-Hensch, N. Jeong, A. Keidel, D. Imboden, M. Lovison, G. Public Health Original Research OBJECTIVES: During the pandemic, Switzerland avoided stringent lockdowns and provided funds to stabilize the economy. To assess whether and in what subgroups the pandemic impacted on depressive symptoms in this specific Swiss context, we derived depression trajectories over an extended pandemic period in a Swiss cohort and related them to individuals' sociodemographic characteristics. STUDY DESIGN: This was a population-based cohort study. METHODS: The population-based COVCO-Basel cohort in North-Western Switzerland invited 112,848 adult residents of whom 12,724 participated at baseline. Between July 2020 and December 2021, 6396 participants answered to additional 18 monthly online questionnaires. Depression symptoms were repeatedly measured by the DASS-21 scale. Group-based Trajectory Models methods were applied to identify clusters of similar depression trajectories. Trajectory clusters were characterized descriptively and with a Multinomial response model. RESULTS: Three distinct trajectories were identified. The ‘Highly affected’ trajectory (13%) had a larger presence of younger and female participants with lower average income, higher levels of past depression, and living alone. A majority of individuals in the ‘Unaffected’ trajectory (52%) were of medium or high average income, older average age, without previous depression symptoms, and not living alone. The ‘Moderately affected’ trajectory (35%) had a composition intermediate between the two opposite ‘extreme’ trajectories. CONCLUSIONS: This study is among few studies investigating depression trajectories up to the time when COVID-19 vaccination was readily available to the entire population. During these 18 months of the pandemic, depressive symptoms increased in a substantial percentage of participants. Economic support, high-quality health care system, and moderate containment measures did not sufficiently protect all population subgroups from adverse, potentially long-term psychological pandemic impacts. The Authors. Published by Elsevier Ltd on behalf of The Royal Society for Public Health. 2023-04 2023-01-16 /pmc/articles/PMC9841075/ /pubmed/36854252 http://dx.doi.org/10.1016/j.puhe.2023.01.010 Text en © 2023 The Authors Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Original Research
Probst-Hensch, N.
Jeong, A.
Keidel, D.
Imboden, M.
Lovison, G.
Depression trajectories during the COVID-19 pandemic in the high-quality health care setting of Switzerland: the COVCO-Basel cohort
title Depression trajectories during the COVID-19 pandemic in the high-quality health care setting of Switzerland: the COVCO-Basel cohort
title_full Depression trajectories during the COVID-19 pandemic in the high-quality health care setting of Switzerland: the COVCO-Basel cohort
title_fullStr Depression trajectories during the COVID-19 pandemic in the high-quality health care setting of Switzerland: the COVCO-Basel cohort
title_full_unstemmed Depression trajectories during the COVID-19 pandemic in the high-quality health care setting of Switzerland: the COVCO-Basel cohort
title_short Depression trajectories during the COVID-19 pandemic in the high-quality health care setting of Switzerland: the COVCO-Basel cohort
title_sort depression trajectories during the covid-19 pandemic in the high-quality health care setting of switzerland: the covco-basel cohort
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9841075/
https://www.ncbi.nlm.nih.gov/pubmed/36854252
http://dx.doi.org/10.1016/j.puhe.2023.01.010
work_keys_str_mv AT probsthenschn depressiontrajectoriesduringthecovid19pandemicinthehighqualityhealthcaresettingofswitzerlandthecovcobaselcohort
AT jeonga depressiontrajectoriesduringthecovid19pandemicinthehighqualityhealthcaresettingofswitzerlandthecovcobaselcohort
AT keideld depressiontrajectoriesduringthecovid19pandemicinthehighqualityhealthcaresettingofswitzerlandthecovcobaselcohort
AT imbodenm depressiontrajectoriesduringthecovid19pandemicinthehighqualityhealthcaresettingofswitzerlandthecovcobaselcohort
AT lovisong depressiontrajectoriesduringthecovid19pandemicinthehighqualityhealthcaresettingofswitzerlandthecovcobaselcohort