Evidence map›Paper›PMID 40087741›Full record

ArticleBMC psychology2025

Development of depressive symptoms during the COVID-19 crisis: the role of coping strategies and their change.

Charikleia Lampraki, Daniela S Jopp, Angélique Roquet, Adar Hoffman, Kim Uittenhove

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Article in BMC psychology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Charikleia LamprakiDepartment of Psychology, University of Geneva, Chemin de Pinchat 22, Carouge, Geneva, 1227, Switzerland. charikleia.lampraki@unige.ch.
Daniela S JoppInstitute of Psychology, University of Lausanne, Lausanne, Switzerland.
Angélique RoquetInstitute of Psychology, University of Lausanne, Lausanne, Switzerland.
Adar HoffmanInstitute of Psychology, University of Lausanne, Lausanne, Switzerland.
Kim UittenhoveInstitute of Psychology, University of Lausanne, Lausanne, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundConfronted with stressful circumstances, individuals use coping strategies to adapt. During the COVID-19 pandemic, individuals were threatened by an unprecedented health crisis, which governments tried to navigate with various imposed measures. Social distancing had massive negative consequences for mental health; yet studies also documented important interindividual differences, which may be related to differences in coping strategies. This study aims at identifying the most frequent coping responses, their change over time, as well as their possible role for adapting to the crisis.

methodsOur sample consisted of 732 individuals living in Switzerland (age range 18-81 years). An online three-wave questionnaire was administered during the second pandemic wave (i.e., October, November, and December 2020). We used bivariate latent growth modeling and multilevel modeling in order to investigate the development of depressive symptoms and the extent to which it related to the level and change in coping strategies, adjusting for sociodemographic characteristics.

resultsBivariate latent growth models showed that feeling depressed was related to lower use of seeking functional and emotional support, positive reappraisal and acceptance, and higher use of self-distracting. Moreover, results indicated that more change in depressive symptoms was related to less change in seeking functional support and positive reappraisal, and to more change in self-distracting. Regarding multilevel modeling, where all coping strategies were simultaneously included as predictors of depressive symptoms, a higher level of support seeking and positive reappraisal, and a lower level of self-distracting were related to fewer depressive symptoms. Over time, seeking support, positive reappraisal, acceptance, and self-distracting decreased, while depressive symptoms increased. Decreasing the use of positive reappraisal and increasing the use of self-distracting were related to increasing depressive symptoms. Younger aged individuals experienced significantly more depressive symptoms than their older age counterparts when they decreased the use of positive reappraisal.

conclusionsIn conclusion, individuals used various coping strategies to adapt to the COVID-19-related life circumstances, but only some of them related to changes in depressing symptoms, possibly demonstrating a gap between the availability and use of coping strategies during the pandemic and their actual effect on mental health.

Indexed as

Adaptation, PsychologicalCOVID-19DepressionAdolescentAdultAgedAged, 80 and overCoping SkillsFemaleHumansMaleMiddle AgedSARS-CoV-2Social SupportSurveys and QuestionnairesSwitzerlandAge differencesCoping strategiesCOVID-19Depressive symptomsPandemic

Identifiers

PMID40087741
PMCPMC11907944

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.