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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.
Affiliation
  • Bayes-Marin I; Departament de Medicina, Facultat de Medicina i Ciències de la Salut - Campus Clínic, Universitat de Barcelona, Barcelona, Spain.
  • Cabello-Toscano M; Departament de Medicina, Facultat de Medicina i Ciències de la Salut - Campus Clínic, Universitat de Barcelona, Barcelona, Spain.
  • Cattaneo G; Institut de Recerca Biomèdica August Pi i Sunyer (IDIBAPS), Barcelona, Spain.
  • Solana-Sánchez J; Institut Guttmann, Institut Universitari de Neurorehabilitació adscrit a la Universitat Autónoma de Barcelona, Barcelona, Spain.
  • Fernández D; Fundació Institut d'Investigació en Ciències de la Salut Germans Trias i Pujol, Badalona, Spain.
  • Portellano-Ortiz C; Institut Guttmann, Institut Universitari de Neurorehabilitació adscrit a la Universitat Autónoma de Barcelona, Barcelona, Spain.
  • Tormos JM; Fundació Institut d'Investigació en Ciències de la Salut Germans Trias i Pujol, Badalona, Spain.
  • Pascual-Leone A; Instituto de Salud Carlos III, Centro de Investigación Biomédica en Red de Salud Mental, CIBERSAM, Monforte de Lemos 3-5, Pabellón 11, 28029, Madrid, Spain.
  • Bartrés-Faz D; Serra-Húnter fellow. Department of Statistics and Operations Research (DEIO), Universitat Politècnica de Catalunya ⋅ BarcelonaTech (UPC), 08028 Barcelona, Spain.
Epidemiol Psychiatr Sci ; 32: e19, 2023 Apr 17.
Article de En | MEDLINE | ID: mdl-37066626
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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Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Santé mentale / COVID-19 Type d'étude: Prognostic_studies / Risk_factors_studies Aspects: Patient_preference Limites: Adult / Aged / Humans / Middle aged Langue: En Journal: Epidemiol Psychiatr Sci Année: 2023 Type de document: Article Pays d'affiliation: Espagne Pays de publication: Royaume-Uni

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Santé mentale / COVID-19 Type d'étude: Prognostic_studies / Risk_factors_studies Aspects: Patient_preference Limites: Adult / Aged / Humans / Middle aged Langue: En Journal: Epidemiol Psychiatr Sci Année: 2023 Type de document: Article Pays d'affiliation: Espagne Pays de publication: Royaume-Uni