Long-term depressive symptom trajectories and related baseline characteristics in primary care patients: Analysis of the PsicAP clinical trial

Background. There is heterogeneity in the long-term trajectories of depressive symptoms among patients. To date, there has been little effort to inform the long-term trajectory of symptom change and the factors associated with different trajectories. Such knowledge is key to treatment decision-makin...

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Autores: Prieto Vila, Maider, González Blanch, César, Estupiñá Puig, Francisco José, Buckman, Joshua E.J., Saunders, Rob, Muñoz Navarro, Roger, Moriana, Juan A., Rodríguez Ruiz, Paloma, Barrio Martínez, Sara, Carpallo González, María, Cano Vindel, Antonio Rafael
Tipo de recurso: artículo
Fecha de publicación:2024
País:España
Institución:Universidad Complutense de Madrid (UCM)
Repositorio:Docta Complutense
Idioma:inglés
OAI Identifier:oai:docta.ucm.es:20.500.14352/119911
Acceso en línea:https://hdl.handle.net/20.500.14352/119911
Access Level:acceso abierto
Palabra clave:Depressive symptom
Growth mixture modeling
Longitudinal analysis
Primary care
Trajectories
Psicología (Psicología)
3201.05 Psicología Clínica
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spelling Long-term depressive symptom trajectories and related baseline characteristics in primary care patients: Analysis of the PsicAP clinical trialPrieto Vila, MaiderGonzález Blanch, CésarEstupiñá Puig, Francisco JoséBuckman, Joshua E.J.Saunders, RobMuñoz Navarro, RogerMoriana, Juan A.Rodríguez Ruiz, PalomaBarrio Martínez, SaraCarpallo González, MaríaCano Vindel, Antonio RafaelDepressive symptomGrowth mixture modelingLongitudinal analysisPrimary careTrajectoriesPsicología (Psicología)3201.05 Psicología ClínicaBackground. There is heterogeneity in the long-term trajectories of depressive symptoms among patients. To date, there has been little effort to inform the long-term trajectory of symptom change and the factors associated with different trajectories. Such knowledge is key to treatment decision-making in primary care, where depression is a common reason for consultation. We aimed to identify distinct long-term trajectories of depressive symptoms and explore pre-treatment characteristics associated with them. Methods. A total of 483 patients from the PsicAP clinical trial were included. Growth mixture modeling was used to identify long-term distinct trajectories of depressive symptoms, and multinomial logistic regression models to explore associations between pre-treatment characteristics and trajectories. Results. Four trajectories were identified that best explained the observed response patterns: “recovery” (64.18%), “late recovery” (10.15%), “relapse” (13.67%), and “chronicity” (12%). There was a higher likelihood of following the recovery trajectory for patients who had received psychological treatment in addition to the treatment as usual. Chronicity was associated with higher depressive severity, comorbidity (generalized anxiety, panic, and somatic symptoms), taking antidepressants, higher emotional suppression, lower levels on life quality, and being older. Relapse was associated with higher depressive severity, somatic symptoms, and having basic education, and late recovery was associated with higher depressive severity, generalized anxiety symptoms, greater disability, and rumination. Conclusions There were different trajectories of depressive course and related prognostic factors among the patients. However, further research is needed before these findings can significantly influence care decisions.Cambridge University PressUniversidad Complutense de Madrid20242024-03-2720242024-03-27journal articlehttp://purl.org/coar/resource_type/c_6501VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/20.500.14352/119911reponame:Docta Complutenseinstname:Universidad Complutense de Madrid (UCM)InglésengAgencia Estatal de Investigación http://dx.doi.org/10.13039/501100011033 Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020 PID2019-107243RB-C21 EVALUACION DE COSTE-EFECTIVIDAD DEL TRATAMIENTO PSICOLOGICO TRANSDIAGNOSTICO GRUPAL PARA LOS DESORDENES EMOCIONALES EN ATENCION PRIMARIAopen accesshttp://purl.org/coar/access_right/c_abf2Attribution 4.0 Internationalhttp://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessoai:docta.ucm.es:20.500.14352/1199112026-06-02T12:44:21Z
dc.title.none.fl_str_mv Long-term depressive symptom trajectories and related baseline characteristics in primary care patients: Analysis of the PsicAP clinical trial
title Long-term depressive symptom trajectories and related baseline characteristics in primary care patients: Analysis of the PsicAP clinical trial
spellingShingle Long-term depressive symptom trajectories and related baseline characteristics in primary care patients: Analysis of the PsicAP clinical trial
Prieto Vila, Maider
Depressive symptom
Growth mixture modeling
Longitudinal analysis
Primary care
Trajectories
Psicología (Psicología)
3201.05 Psicología Clínica
title_short Long-term depressive symptom trajectories and related baseline characteristics in primary care patients: Analysis of the PsicAP clinical trial
title_full Long-term depressive symptom trajectories and related baseline characteristics in primary care patients: Analysis of the PsicAP clinical trial
title_fullStr Long-term depressive symptom trajectories and related baseline characteristics in primary care patients: Analysis of the PsicAP clinical trial
title_full_unstemmed Long-term depressive symptom trajectories and related baseline characteristics in primary care patients: Analysis of the PsicAP clinical trial
title_sort Long-term depressive symptom trajectories and related baseline characteristics in primary care patients: Analysis of the PsicAP clinical trial
dc.creator.none.fl_str_mv Prieto Vila, Maider
González Blanch, César
Estupiñá Puig, Francisco José
Buckman, Joshua E.J.
Saunders, Rob
Muñoz Navarro, Roger
Moriana, Juan A.
Rodríguez Ruiz, Paloma
Barrio Martínez, Sara
Carpallo González, María
Cano Vindel, Antonio Rafael
author Prieto Vila, Maider
author_facet Prieto Vila, Maider
González Blanch, César
Estupiñá Puig, Francisco José
Buckman, Joshua E.J.
Saunders, Rob
Muñoz Navarro, Roger
Moriana, Juan A.
Rodríguez Ruiz, Paloma
Barrio Martínez, Sara
Carpallo González, María
Cano Vindel, Antonio Rafael
author_role author
author2 González Blanch, César
Estupiñá Puig, Francisco José
Buckman, Joshua E.J.
Saunders, Rob
Muñoz Navarro, Roger
Moriana, Juan A.
Rodríguez Ruiz, Paloma
Barrio Martínez, Sara
Carpallo González, María
Cano Vindel, Antonio Rafael
author2_role author
author
author
author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv Universidad Complutense de Madrid
dc.subject.none.fl_str_mv Depressive symptom
Growth mixture modeling
Longitudinal analysis
Primary care
Trajectories
Psicología (Psicología)
3201.05 Psicología Clínica
topic Depressive symptom
Growth mixture modeling
Longitudinal analysis
Primary care
Trajectories
Psicología (Psicología)
3201.05 Psicología Clínica
description Background. There is heterogeneity in the long-term trajectories of depressive symptoms among patients. To date, there has been little effort to inform the long-term trajectory of symptom change and the factors associated with different trajectories. Such knowledge is key to treatment decision-making in primary care, where depression is a common reason for consultation. We aimed to identify distinct long-term trajectories of depressive symptoms and explore pre-treatment characteristics associated with them. Methods. A total of 483 patients from the PsicAP clinical trial were included. Growth mixture modeling was used to identify long-term distinct trajectories of depressive symptoms, and multinomial logistic regression models to explore associations between pre-treatment characteristics and trajectories. Results. Four trajectories were identified that best explained the observed response patterns: “recovery” (64.18%), “late recovery” (10.15%), “relapse” (13.67%), and “chronicity” (12%). There was a higher likelihood of following the recovery trajectory for patients who had received psychological treatment in addition to the treatment as usual. Chronicity was associated with higher depressive severity, comorbidity (generalized anxiety, panic, and somatic symptoms), taking antidepressants, higher emotional suppression, lower levels on life quality, and being older. Relapse was associated with higher depressive severity, somatic symptoms, and having basic education, and late recovery was associated with higher depressive severity, generalized anxiety symptoms, greater disability, and rumination. Conclusions There were different trajectories of depressive course and related prognostic factors among the patients. However, further research is needed before these findings can significantly influence care decisions.
publishDate 2024
dc.date.none.fl_str_mv 2024
2024-03-27
2024
2024-03-27
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/20.500.14352/119911
url https://hdl.handle.net/20.500.14352/119911
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://dx.doi.org/10.13039/501100011033 Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020 PID2019-107243RB-C21 EVALUACION DE COSTE-EFECTIVIDAD DEL TRATAMIENTO PSICOLOGICO TRANSDIAGNOSTICO GRUPAL PARA LOS DESORDENES EMOCIONALES EN ATENCION PRIMARIA
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.publisher.none.fl_str_mv Cambridge University Press
publisher.none.fl_str_mv Cambridge University Press
dc.source.none.fl_str_mv reponame:Docta Complutense
instname:Universidad Complutense de Madrid (UCM)
instname_str Universidad Complutense de Madrid (UCM)
reponame_str Docta Complutense
collection Docta Complutense
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,812429

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