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

AIMS: Our 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...

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Autores principales: Bayes-Marin, I., Cabello-Toscano, M., Cattaneo, G., Solana-Sánchez, J., Fernández, D., Portellano-Ortiz, C., Tormos, J. M., Pascual-Leone, A., Bartrés-Faz, D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cambridge University Press 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10130737/
https://www.ncbi.nlm.nih.gov/pubmed/37066626
http://dx.doi.org/10.1017/S2045796023000136
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author Bayes-Marin, I.
Cabello-Toscano, M.
Cattaneo, G.
Solana-Sánchez, J.
Fernández, D.
Portellano-Ortiz, C.
Tormos, J. M.
Pascual-Leone, A.
Bartrés-Faz, D.
author_facet Bayes-Marin, I.
Cabello-Toscano, M.
Cattaneo, G.
Solana-Sánchez, J.
Fernández, D.
Portellano-Ortiz, C.
Tormos, J. M.
Pascual-Leone, A.
Bartrés-Faz, D.
author_sort Bayes-Marin, I.
collection PubMed
description AIMS: Our 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. METHODS: We 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. RESULTS: For 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. CONCLUSIONS: Our 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.
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spelling pubmed-101307372023-04-27 COVID-19 after two years: trajectories of different components of mental health in the Spanish population Bayes-Marin, I. Cabello-Toscano, M. Cattaneo, G. Solana-Sánchez, J. Fernández, D. Portellano-Ortiz, C. Tormos, J. M. Pascual-Leone, A. Bartrés-Faz, D. Epidemiol Psychiatr Sci Original Article AIMS: Our 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. METHODS: We 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. RESULTS: For 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. CONCLUSIONS: Our 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. Cambridge University Press 2023-04-17 /pmc/articles/PMC10130737/ /pubmed/37066626 http://dx.doi.org/10.1017/S2045796023000136 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
spellingShingle Original Article
Bayes-Marin, I.
Cabello-Toscano, M.
Cattaneo, G.
Solana-Sánchez, J.
Fernández, D.
Portellano-Ortiz, C.
Tormos, J. M.
Pascual-Leone, A.
Bartrés-Faz, D.
COVID-19 after two years: trajectories of different components of mental health in the Spanish population
title COVID-19 after two years: trajectories of different components of mental health in the Spanish population
title_full COVID-19 after two years: trajectories of different components of mental health in the Spanish population
title_fullStr COVID-19 after two years: trajectories of different components of mental health in the Spanish population
title_full_unstemmed COVID-19 after two years: trajectories of different components of mental health in the Spanish population
title_short COVID-19 after two years: trajectories of different components of mental health in the Spanish population
title_sort covid-19 after two years: trajectories of different components of mental health in the spanish population
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10130737/
https://www.ncbi.nlm.nih.gov/pubmed/37066626
http://dx.doi.org/10.1017/S2045796023000136
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