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...

Descripción completa

Detalles Bibliográficos
Autores: Bayés Marín, Ivet, Cabello-Toscano, Maria, Cattaneo, Gabrielle, Solana-Sánchez, J, Fernández Martínez, Daniel|||0000-0003-0012-2094, Portellano-Ortiz, C, Tormos Muñoz, José María, Pascual-Leone, A, Bartrés-Faz, David
Tipo de recurso: artículo
Fecha de publicación:2023
País:España
Institución:Universitat Politècnica de Catalunya (UPC)
Repositorio:UPCommons. Portal del coneixement obert de la UPC
Idioma:inglés
OAI Identifier:oai:upcommons.upc.edu:2117/386520
Acceso en línea:https://hdl.handle.net/2117/386520
https://dx.doi.org/10.1017/S2045796023000136
Access Level:acceso abierto
Palabra clave:COVID-19 (Disease) -- Spain -- Statistics
Mental health -- Spain
COVID-19
Growth mixture models
Mental health
Trajectories
COVID-19 (Malaltia) -- Espanya -- Estadístiques
Salut mental -- Espanya
Àrees temàtiques de la UPC::Matemàtiques i estadística::Estadística aplicada::Estadística biosanitària
Àrees temàtiques de la UPC::Ciències de la salut
id ES_03f22cf52ea5172d0a60bf403db32a1c
oai_identifier_str oai:upcommons.upc.edu:2117/386520
network_acronym_str ES
network_name_str España
repository_id_str
dc.title.none.fl_str_mv 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
spellingShingle COVID-19 after two years: trajectories of different components of mental health in the Spanish population
Bayés Marín, Ivet
COVID-19 (Disease) -- Spain -- Statistics
Mental health -- Spain
COVID-19
Growth mixture models
Mental health
Trajectories
COVID-19 (Malaltia) -- Espanya -- Estadístiques
Salut mental -- Espanya
Àrees temàtiques de la UPC::Matemàtiques i estadística::Estadística aplicada::Estadística biosanitària
Àrees temàtiques de la UPC::Ciències de la salut
title_short 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_sort COVID-19 after two years: trajectories of different components of mental health in the Spanish population
dc.creator.none.fl_str_mv Bayés Marín, Ivet
Cabello-Toscano, Maria
Cattaneo, Gabrielle
Solana-Sánchez, J
Fernández Martínez, Daniel|||0000-0003-0012-2094
Portellano-Ortiz, C
Tormos Muñoz, José María
Pascual-Leone, A
Bartrés-Faz, David
author Bayés Marín, Ivet
author_facet Bayés Marín, Ivet
Cabello-Toscano, Maria
Cattaneo, Gabrielle
Solana-Sánchez, J
Fernández Martínez, Daniel|||0000-0003-0012-2094
Portellano-Ortiz, C
Tormos Muñoz, José María
Pascual-Leone, A
Bartrés-Faz, David
author_role author
author2 Cabello-Toscano, Maria
Cattaneo, Gabrielle
Solana-Sánchez, J
Fernández Martínez, Daniel|||0000-0003-0012-2094
Portellano-Ortiz, C
Tormos Muñoz, José María
Pascual-Leone, A
Bartrés-Faz, David
author2_role author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv COVID-19 (Disease) -- Spain -- Statistics
Mental health -- Spain
COVID-19
Growth mixture models
Mental health
Trajectories
COVID-19 (Malaltia) -- Espanya -- Estadístiques
Salut mental -- Espanya
Àrees temàtiques de la UPC::Matemàtiques i estadística::Estadística aplicada::Estadística biosanitària
Àrees temàtiques de la UPC::Ciències de la salut
topic COVID-19 (Disease) -- Spain -- Statistics
Mental health -- Spain
COVID-19
Growth mixture models
Mental health
Trajectories
COVID-19 (Malaltia) -- Espanya -- Estadístiques
Salut mental -- Espanya
Àrees temàtiques de la UPC::Matemàtiques i estadística::Estadística aplicada::Estadística biosanitària
Àrees temàtiques de la UPC::Ciències de la salut
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
publishDate 2023
dc.date.none.fl_str_mv 2023
2023-04-17
2023
2023-04-21
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
VoR
http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://hdl.handle.net/2117/386520
https://dx.doi.org/10.1017/S2045796023000136
url https://hdl.handle.net/2117/386520
https://dx.doi.org/10.1017/S2045796023000136
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.relation.none.fl_str_mv Agencia Estatal de Investigación http://doi.org/10.13039/501100011033 Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020 PID2019-104830RB-I00 METODOLOGIAS ESTADISTICAS PARA DATOS CLINICOS Y OMICOS Y SUS APLICACIONES EN CIENCIAS DE LA SALUD
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution 4.0 International
http://creativecommons.org/licenses/by/4.0/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution 4.0 International
http://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:UPCommons. Portal del coneixement obert de la UPC
instname:Universitat Politècnica de Catalunya (UPC)
instname_str Universitat Politècnica de Catalunya (UPC)
reponame_str UPCommons. Portal del coneixement obert de la UPC
collection UPCommons. Portal del coneixement obert de la UPC
repository.name.fl_str_mv
repository.mail.fl_str_mv
_version_ 1869402761149284352
spelling COVID-19 after two years: trajectories of different components of mental health in the Spanish populationBayés Marín, IvetCabello-Toscano, MariaCattaneo, GabrielleSolana-Sánchez, JFernández Martínez, Daniel|||0000-0003-0012-2094Portellano-Ortiz, CTormos Muñoz, José MaríaPascual-Leone, ABartrés-Faz, DavidCOVID-19 (Disease) -- Spain -- StatisticsMental health -- SpainCOVID-19Growth mixture modelsMental healthTrajectoriesCOVID-19 (Malaltia) -- Espanya -- EstadístiquesSalut mental -- EspanyaÀrees temàtiques de la UPC::Matemàtiques i estadística::Estadística aplicada::Estadística biosanitàriaÀrees temàtiques de la UPC::Ciències de la salutAims: 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"This work was supported by a grant from the Agència de Gestió d'Ajuts Universitaris i de Recerca (AGAUR) ‘PANDÈMIES 2020’ (ref. 2020PANDE00043) and a grant from ‘La Marató de TV3’ MARATÓ 2020 COVID-19 (ref. 202129–31). Supported in part by the Spanish Ministry of Science, Innovation and Universities (MICIU/FEDER; grant number RTI2018-095181-B-C21) and an ICREA Academia 2019 grant award to D. B-F. Partially, this research has received funding from ‘La Caixa’ Foundation (grant number LCF/PR/PR16/11110004), and from Institut Guttmann and Fundació Abertis. I.B-M. was supported by a postdoctoral fellowship related to ‘PANDÈMIES 2020’ (AGAUR; 2020PANDE00043). D.F. has been supported by grant 2021 SGR 01421 (GRBIO) administrated by the Departament de Recerca I Universitats de la Generalitat de Catalunya (Spain) and by the Ministerio de Ciencia e Innovación (Spain) [PID2019-104830RB-I00/ DOI (AEI): 10.13039/501100011033].. J.M.T. was partly supported by AGAUR (2018 PROD 00172), Fundació Joan Ribas Araquistain and ‘La Marató de TV3’ Fundation (201735.10). This research was furthermore supported by the Government of Catalonia (2017SGR748). We also acknowledge support from the Spanish Ministry of Science and Innovation and State Research Agency through the ‘Centro de Excelencia Severo Ochoa 2019-2023’ Program (CEX2018-000806-S), and support from the Generalitat de Catalunya through the CERCA Program"Peer Reviewed20232023-04-1720232023-04-21journal articlehttp://purl.org/coar/resource_type/c_6501VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/2117/386520https://dx.doi.org/10.1017/S2045796023000136reponame:UPCommons. Portal del coneixement obert de la UPCinstname:Universitat Politècnica de Catalunya (UPC)InglésengAgencia Estatal de Investigación http://doi.org/10.13039/501100011033 Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020 PID2019-104830RB-I00 METODOLOGIAS ESTADISTICAS PARA DATOS CLINICOS Y OMICOS Y SUS APLICACIONES EN CIENCIAS DE LA SALUDopen accesshttp://purl.org/coar/access_right/c_abf2Attribution 4.0 Internationalhttp://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessoai:upcommons.upc.edu:2117/3865202026-05-27T15:37:01Z
score 15,300719

Similares en LA Referencia