Evidence map›Paper›PMID 36114857›Full record

ArticleSocial psychiatry and psychiatric epidemiology2022

Trajectories of common mental disorders symptoms before and during the COVID-19 pandemic: findings from the ELSA-Brasil COVID-19 Mental Health Cohort.

Daniel Fatori, Paulo Suen, Pedro Bacchi, Leonardo Afonso, Izio Klein, Beatriz A Cavendish, Younga H Lee, Zhaowen Liu, Joshua Bauermeister, Marina L Moreno and 8 more

Open access · bronzeAbstract read
In one paragraph

Article in Social psychiatry and psychiatric epidemiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.1field-weighted citation impact, top 13% of its field
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

5 citing papers in PubMed, 11 citations in OpenAlex.

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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

18 authors at 4 institutions in 3 countries.

Daniel FatoriFaculdade de Medicina da, Universidade de São Paulo, R. Dr. Ovídio Pires de Campos, 785-Cerqueira César, CEAPESQ, Sala 9, São Paulo, SP, 05403-903, Brazil. daniel.fatori@gmail.com.ORCID http://orcid.org/0000-0001-7753-894X
Paulo SuenFaculdade de Medicina da, Universidade de São Paulo, R. Dr. Ovídio Pires de Campos, 785-Cerqueira César, CEAPESQ, Sala 9, São Paulo, SP, 05403-903, Brazil.
Pedro BacchiFaculdade de Medicina da, Universidade de São Paulo, R. Dr. Ovídio Pires de Campos, 785-Cerqueira César, CEAPESQ, Sala 9, São Paulo, SP, 05403-903, Brazil.
Leonardo AfonsoFaculdade de Medicina da, Universidade de São Paulo, R. Dr. Ovídio Pires de Campos, 785-Cerqueira César, CEAPESQ, Sala 9, São Paulo, SP, 05403-903, Brazil.
Izio KleinFaculdade de Medicina da, Universidade de São Paulo, R. Dr. Ovídio Pires de Campos, 785-Cerqueira César, CEAPESQ, Sala 9, São Paulo, SP, 05403-903, Brazil.
Beatriz A CavendishFaculdade de Medicina da, Universidade de São Paulo, R. Dr. Ovídio Pires de Campos, 785-Cerqueira César, CEAPESQ, Sala 9, São Paulo, SP, 05403-903, Brazil.
Younga H LeeDepartment of Psychiatry, Harvard Medical School and Department of Epidemiology, Harvard School of Public Health, Boston, MA, USA.
Zhaowen LiuDepartment of Psychiatry, Harvard Medical School and Department of Epidemiology, Harvard School of Public Health, Boston, MA, USA.
Joshua BauermeisterDepartment of Psychiatry, University of Oxford, Oxford, UK.
Marina L MorenoFaculdade de Medicina da, Universidade de São Paulo, R. Dr. Ovídio Pires de Campos, 785-Cerqueira César, CEAPESQ, Sala 9, São Paulo, SP, 05403-903, Brazil.
Maria Carmen VianaDepartment of Social Medicine, Postgraduate Program in Public Health, Center of Psychiatric Epidemiology (CEPEP), Federal University of Espírito Santo, Vitória, Brazil.
Alessandra C GoulartCentro de Pesquisa Clínica E Epidemiológica, Hospital Universitário, Universidade de São Paulo, São Paulo, Brazil.
Itamar S SantosCentro de Pesquisa Clínica E Epidemiológica, Hospital Universitário, Universidade de São Paulo, São Paulo, Brazil.
Sarah BauermeisterDepartment of Psychiatry, University of Oxford, Oxford, UK.
Jordan SmollerDepartment of Psychiatry, Harvard Medical School and Department of Epidemiology, Harvard School of Public Health, Boston, MA, USA.
Paulo LotufoFaculdade de Medicina da, Universidade de São Paulo, R. Dr. Ovídio Pires de Campos, 785-Cerqueira César, CEAPESQ, Sala 9, São Paulo, SP, 05403-903, Brazil.
Isabela M BenseñorFaculdade de Medicina da, Universidade de São Paulo, R. Dr. Ovídio Pires de Campos, 785-Cerqueira César, CEAPESQ, Sala 9, São Paulo, SP, 05403-903, Brazil.
André R BrunoniFaculdade de Medicina da, Universidade de São Paulo, R. Dr. Ovídio Pires de Campos, 785-Cerqueira César, CEAPESQ, Sala 9, São Paulo, SP, 05403-903, Brazil.
Universidade de São Paulo · BRHarvard University · USUniversity of Oxford · GBUniversidade Federal do Espírito Santo · BR

Funding

Fundação de Amparo à Pesquisa do Estado de São Paulo 20/05441-9
6 · The paper itself

Abstract

aimEvidence indicates most people were resilient to the impact of the COVID-19 pandemic on mental health. However, evidence also suggests the pandemic effect on mental health may be heterogeneous. Therefore, we aimed to identify groups of trajectories of common mental disorders' (CMD) symptoms assessed before (2017-19) and during the COVID-19 pandemic (2020-2021), and to investigate predictors of trajectories.

methodsWe assessed 2,705 participants of the ELSA-Brasil COVID-19 Mental Health Cohort study who reported Clinical Interview Scheduled-Revised (CIS-R) data in 2017-19 and Depression Anxiety Stress Scale-21 (DASS-21) data in May-July 2020, July-September 2020, October-December 2020, and April-June 2021. We used an equi-percentile approach to link the CIS-R total score in 2017-19 with the DASS-21 total score. Group-based trajectory modeling was used to identify CMD trajectories and adjusted multinomial logistic regression was used to investigate predictors of trajectories.

resultsSix groups of CMD symptoms trajectories were identified: low symptoms (17.6%), low-decreasing symptoms (13.7%), low-increasing symptoms (23.9%), moderate-decreasing symptoms (16.8%), low-increasing symptoms (23.3%), severe-decreasing symptoms (4.7%). The severe-decreasing trajectory was characterized by age < 60 years, female sex, low family income, sedentary behavior, previous mental disorders, and the experience of adverse events in life. LIMITATIONS: Pre-pandemic characteristics were associated with lack of response to assessments. Our occupational cohort sample is not representative.

conclusionMore than half of the sample presented low levels of CMD symptoms. Predictors of trajectories could be used to detect individuals at-risk for presenting CMD symptoms in the context of global adverse events.

Indexed as

COVID-19Mental DisordersAnxietyCohort StudiesDepressionFemaleHumansMental HealthMiddle AgedPandemicsAnxietyCohort studyCOVID-19 pandemicDepressionTrajectories

Identifiers

PMID36114857
PMCPMC9483303
OpenAlexW4296119708

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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.