Evidence map›Paper›PMID 37066626›Full record

ArticleEpidemiology and psychiatric sciences2023

COVID-19 after two years: trajectories of different components of mental health in the Spanish population.

I Bayes-Marin, M Cabello-Toscano, G Cattaneo, J Solana-Sánchez, D Fernández, C Portellano-Ortiz, J M Tormos, A Pascual-Leone, D Bartrés-Faz

Abstract read
In one paragraph

Article in Epidemiology and psychiatric sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
–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

10 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

9 authors.

I Bayes-MarinDepartament de Medicina, Facultat de Medicina i Ciències de la Salut - Campus Clínic, Universitat de Barcelona, Barcelona, Spain.ORCID https://orcid.org/0000-0002-3816-5244
M Cabello-ToscanoDepartament de Medicina, Facultat de Medicina i Ciències de la Salut - Campus Clínic, Universitat de Barcelona, Barcelona, Spain.ORCID https://orcid.org/0000-0001-5066-3476
G CattaneoInstitut Guttmann, Institut Universitari de Neurorehabilitació adscrit a la Universitat Autónoma de Barcelona, Barcelona, Spain.ORCID https://orcid.org/0000-0002-7411-6829
J Solana-SánchezInstitut Guttmann, Institut Universitari de Neurorehabilitació adscrit a la Universitat Autónoma de Barcelona, Barcelona, Spain.ORCID https://orcid.org/0000-0003-0880-7856
D FernándezInstituto de Salud Carlos III, Centro de Investigación Biomédica en Red de Salud Mental, CIBERSAM, Monforte de Lemos 3-5, Pabellón 11, 28029, Madrid, Spain.ORCID https://orcid.org/0000-0003-0012-2094
C Portellano-OrtizDepartament de Medicina, Facultat de Medicina i Ciències de la Salut - Campus Clínic, Universitat de Barcelona, Barcelona, Spain.ORCID https://orcid.org/0000-0003-1069-4803
J M TormosInstitut Guttmann, Institut Universitari de Neurorehabilitació adscrit a la Universitat Autónoma de Barcelona, Barcelona, Spain.ORCID https://orcid.org/0000-0002-8764-2289
A Pascual-LeoneInstitut Guttmann, Institut Universitari de Neurorehabilitació adscrit a la Universitat Autónoma de Barcelona, Barcelona, Spain.ORCID https://orcid.org/0000-0001-8975-0382
D Bartrés-FazDepartament de Medicina, Facultat de Medicina i Ciències de la Salut - Campus Clínic, Universitat de Barcelona, Barcelona, Spain.ORCID https://orcid.org/0000-0001-6020-4118

Funding

"la Caixa" Foundation LCF/PR/PR16/11110004Ministerio de Ciencia e Innovación PID2019-104830RB-I00
6 · The paper itself

Abstract

aimsOur study aimed to (1) identify trajectories on different mental health components during a two-year follow-up of the COVID-19 pandemic and contextualise them according to pandemic periods; (2) investigate the associations between mental health trajectories and several exposures, and determine whether there were differences among the different mental health outcomes regarding these associations.

methodsWe included 5535 healthy individuals, aged 40-65 years old, from the Barcelona Brain Health Initiative (BBHI). Growth mixture models (GMM) were fitted to classify individuals into different trajectories for three mental health-related outcomes (psychological distress, personal growth and loneliness). Moreover, we fitted a multinomial regression model for each outcome considering class membership as the independent variable to assess the association with the predictors.

resultsFor the outcomes studied we identified three latent trajectories, differentiating two major trends, a large proportion of participants was classified into 'resilient' trajectories, and a smaller proportion into 'chronic-worsening' trajectories. For the former, we observed a lower susceptibility to the changes, whereas, for the latter, we noticed greater heterogeneity and susceptibility to different periods of the pandemic. From the multinomial regression models, we found global and cognitive health, and coping strategies as common protective factors among the studied mental health components. Nevertheless, some differences were found regarding the risk factors. Living alone was only significant for those classified into 'chronic' trajectories of loneliness, but not for the other outcomes. Similarly, secondary or higher education was only a risk factor for the 'worsening' trajectory of personal growth. Finally, smoking and sleeping problems were risk factors which were associated with the 'chronic' trajectory of psychological distress.

conclusionsOur results support heterogeneity in reactions to the pandemic and the need to study different mental health-related components over a longer follow-up period, as each one evolves differently depending on the pandemic period. In addition, the understanding of modifiable protective and risk factors associated with these trajectories would allow the characterisation of these segments of the population to create targeted interventions.

Indexed as

COVID-19Mental HealthAdaptation, PsychologicalAdultAgedHealth StatusHumansMiddle AgedPandemicsCOVID-19growth mixture modelsmental healthtrajectories

Identifiers

PMID37066626
PMCPMC10130737

What OpenQuestion holds

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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.