Evidence map›Paper›PMID 36191642›Full record

ArticleJournal of affective disorders2023

Longitudinal impact of the COVID19 pandemic on mental health in a general population sample in France: Evidence from the COMET Study.

Flore Moulin, François Jean, Maria Melchior, Martina Patanè, Irene Pinucci, Marit Sijbrandij, Judith van der Waerden, Cédric Galéra

Abstract read
In one paragraph

Article in Journal of affective disorders, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Flore MoulinUniversity of Bordeaux, France; Bordeaux Population Health Research Center, INSERM U 1219, Bordeaux, France. Electronic address: fmoulin.science@gmail.com.
François JeanUniversity of Bordeaux, France; Department of Psychiatry and Addictology, Calais Hospital, Calais, France; Bordeaux Population Health Research Center, INSERM U 1219, Bordeaux, France.
Maria MelchiorSorbonne Université, INSERM, Institut Pierre Louis d'Epidémiologie et de Santé Publique (IPLESP), Equipe de Recherche en Epidémiologie Sociale (ERES), Paris, France.
Martina PatanèVU University Amsterdam, Department of Clinical, Neuro- and Developmental Psychology, World Health Organization Collaborating Center for Research and Dissemination of Psychological Interventions, and Amsterdam Public Health Institute, 1081, HV, Amsterdam, the Netherlands.
Irene PinucciVU University Amsterdam, Department of Clinical, Neuro- and Developmental Psychology, World Health Organization Collaborating Center for Research and Dissemination of Psychological Interventions, and Amsterdam Public Health Institute, 1081, HV, Amsterdam, the Netherlands; Department of Human Neurosciences, Sapienza University, Rome, Italy.
Marit SijbrandijVU University Amsterdam, Department of Clinical, Neuro- and Developmental Psychology, World Health Organization Collaborating Center for Research and Dissemination of Psychological Interventions, and Amsterdam Public Health Institute, 1081, HV, Amsterdam, the Netherlands.
Judith van der WaerdenSorbonne Université, INSERM, Institut Pierre Louis d'Epidémiologie et de Santé Publique (IPLESP), Equipe de Recherche en Epidémiologie Sociale (ERES), Paris, France.
Cédric GaléraUniversity of Bordeaux, France; Bordeaux Population Health Research Center, INSERM U 1219, Bordeaux, France; Department of Child and Adolescent Psychiatry, Centre Hospitalier Charles Perrens, Bordeaux, France. Electronic address: cedric.galera@u-bordeaux.fr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo study the longitudinal impact of co-occurring mental health problems, and to identify vulnerable groups in need of mental health support during the COVID-19 pandemic.

methodsAnalyses were based on data from 681 French participants in the international COVID-19 Mental Health Study, collected at four times (05/2020-04/2021). Symptoms of depression, anxiety and post-traumatic stress disorder (PTSD) were assessed using the Patient Health Questionnaire 9, the Generalized Anxiety Disorder-7 and the PTSD Check List for DSM-5. We performed k-means for longitudinal data to build trajectories of adults' depression, anxiety and PTSD symptoms and identify subgroups psychologically vulnerable. We then assessed whether mental health trajectories were predicted by lockdown regulations.

resultsA high and a low cluster of mental health scores were identified. In both groups, mental health scores varied significantly across time. Levels of all mental health scores were lowest when COVID-19-related restrictions were lifted and highest when restrictions were in place, except for PTSD. No scores returned to the previous level or the initial level of mental health (p < 0.05). Participants with high levels of symptoms were characterized by younger age (OR: 0.98, 95 % CI: 0.97-0.99), prior history of mental disorders (OR: 3.46, 95 % CI: 2.07-5.82), experience of domestic violence (OR: 10.54, 95 % CI: 1.54-20.68) and medical issues (OR: 2.16, 95 % CI: 1.14-4.03). LIMITATIONS: Pre-pandemic data were not available and the sample was recruited mainly by snowball sampling.

conclusionThis study revealed subtle differences in the evolution of symptom trajectories during the first year of the Covid-19 pandemic, and highlighted several characteristics associated with the two clusters.

Indexed as

COVID-19Stress Disorders, Post-TraumaticAdultAnxietyCommunicable Disease ControlDepressionHumansMental HealthPandemicsCohortCOVID-19EpidemiologyLongitudinalMental healthSelf-report

Identifiers

PMID36191642
PMCPMC9525187

What OpenQuestion holds

Textmetadata
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Registered trials

None linked

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.