What factors explain the changes in major depressive disorder symptoms by age group during the COVID-19 pandemic? A longitudinal study

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Background
Data collected during the COVID-19 pandemic suggest an increase in major depressive disorder (MDD) among younger adults. The current study aims to assess the association of age groups and MDD risk before and during the COVID-19 pandemic and quantify the effect of potential mediating variables such as loneliness, social support, resilience, and socioeconomic factors.

Methods
A representative sample of Spanish adults was interviewed before (2019, N = 1880) and during (2020, N = 1103) the COVID-19 pandemic. MDD was assessed using the CIDI, loneliness through the UCLA scale, social support through the OSSS-3, resilience with the 6-BRS, and worsened economic circumstances and unemployment through a single question. Mixed-models were used to study changes in MDD by age group. Regression models were constructed to quantify the association between age and potential mediators, as well as their mediating effect on the association between age group and MDD.

Results
Among the younger age cohorts (18-29 and 30-44 years) the probability of having MDD during the pandemic increased from 0.04 (95 % CI: 0.002-0.09) to 0.25 (0.12-0.39) and from 0.02 (-0.001-0.03) to 0.11 (0.04-0.17), respectively. Some 36.6 % of the association between age and risk of MDD during the pandemic was explained by loneliness (12.0 %), low resilience (10.7 %), and worsened economic situation (13.9 %).

Limitations
Reliance on self-report data and generalizability of the findings limited to the Spanish population.

Conclusions
Strategies to decrease the impact of a pandemic on depressive symptoms among young adults should address loneliness, provide tools to improve resilience, and enjoy improved financial support.
OriginalsprogEngelsk
TidsskriftJournal of Affective Disorders
Vol/bind328
Sider (fra-til)72-80
Antal sider9
ISSN0165-0327
DOI
StatusUdgivet - 2023

Bibliografisk note

Funding Information:
This study was supported by the EU Horizon 2020 Framework Program for Research and Innovation (635,316 [ATHLOS Project]), and by The Joint Programming Initiative “More Years, Better Lives—The Potential and Challenges of Demographic Change.” It was funded by the “Acciones de Programación Conjunta Internacional 2016” program ( PCIN-2016-118 ) of the Spanish Research Agency (AEI) of the Spanish Ministry of Science and Innovation, by the European Community's Seventh Framework Program (FP7/2007 2013) under agreement number 223071 (COURAGE in Europe), by the Spanish Ministry of Science and Innovation ACI-Promociona ( ACI2009-1010 ), and by the Instituto de Salud Carlos III-FIS research grants ( PS09/00295 , PS09/01845 , PI12/01490 , PI13/00059 , PI16/00218 , PI16/01073 , and PI16/00177 ). Projects PI12/01490 , PI13/00059 , PI16/00218 , PI16/01073 , and PI16/00177 have been co-funded by the European Union European Regional Development Fund “A Way to Build Europe”. The study was also supported by the Instituto de Salud Carlos III Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM). Aina Gabarrell-Pascuet's work is supported by the Secretariat of Universities and Research of the Generalitat de Catalunya and the European Social Fund (2021 FI_B 00839 ). Joan Domènech-Abella and Elvira Lara have a “Juan de la Cierva” research contract awarded by the Spanish Ministry of Science and Innovation (MCIU: FJC2019-038955-I and IJC2019-041846-I, respectively). Tibor V. Varga is funded by the Department of Public Health, University of Copenhagen .

Publisher Copyright:
© 2023 Elsevier B.V.

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