Loneliness trajectories and predictors in Spain: Results from the Spanish longitudinal study on aging and health (Edad con Salud)

Background: In recent years, loneliness has been recognized as a public health problem, exacerbated by the COVID-19 pandemic. This study aims to identify groups of people with different trajectories of loneliness, and to explore potential determinants (sociodemographic, social, psychological, and he...

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Autores: Dolz-Del-Castellar B, de la Torre-Luque A, Castelletti C, Francia L, Rodriguez-Prada C, Miret M, Domènech-Abella J, Gabarrell-Pascuet A, Olaya B, Haro JM, Ayuso-Mateos JL, Lara E
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2025
País:España
Institución:Fundació Sant Joan de Déu
Repositorio:r-FSJD. Repositorio Institucional de Producción Científica de la Fundació Sant Joan de Déu
OAI Identifier:oai:fsjd.fundanetsuite.com:p28227
Acceso en línea:https://fsjd.fundanetsuite.com/Publicaciones/ProdCientif/PublicacionFrw.aspx?id=28227
Access Level:acceso abierto
Palabra clave:Loneliness
Subjective social isolation
Longitudinal trajectories
Mixture modeling
Risk factors
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spelling Loneliness trajectories and predictors in Spain: Results from the Spanish longitudinal study on aging and health (Edad con Salud)Dolz-Del-Castellar Bde la Torre-Luque ACastelletti CFrancia LRodriguez-Prada CMiret MDomènech-Abella JGabarrell-Pascuet AOlaya BHaro JMAyuso-Mateos JLLara ELonelinessSubjective social isolationLongitudinal trajectoriesMixture modelingRisk factorsBackground: In recent years, loneliness has been recognized as a public health problem, exacerbated by the COVID-19 pandemic. This study aims to identify groups of people with different trajectories of loneliness, and to explore potential determinants (sociodemographic, social, psychological, and health-related) associated with these trajectories. Methods: In this 12-year longitudinal study, we analyzed data on 4537 Spanish adults from a nationwide representative survey. A growth mixture modeling approach was used to identify different loneliness trajectories and logistic regressions to explore the determinants of these trajectories. Results: Two trajectory classes were identified: low-stable (87.86 %) and high-fluctuating (12.14 %). Marital status, living status, migration, social isolation, depression, suicidal ideation, and cognitive complaints were identified as significant determinants of belonging to the high-fluctuating trajectory. Conversely, social support, social trust, and life satisfaction were protective factors for this trajectory. Conclusion: This study revealed the presence of diverse courses of loneliness (each showing some distinctive characteristics from the other), outlining some relevant implications for the assessment, prevention, and management of loneliness.ELSEVIER2025info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttps://fsjd.fundanetsuite.com/Publicaciones/ProdCientif/PublicacionFrw.aspx?id=28227JOURNAL OF AFFECTIVE DISORDERSISSN: 01650327ISSNe: 15732517reponame:r-FSJD. Repositorio Institucional de Producción Científica de la Fundació Sant Joan de Déuinstname:Fundació Sant Joan de DéuInglésinfo:eu-repo/semantics/openAccessoai:fsjd.fundanetsuite.com:p282272026-05-27T12:37:41Z
dc.title.none.fl_str_mv Loneliness trajectories and predictors in Spain: Results from the Spanish longitudinal study on aging and health (Edad con Salud)
title Loneliness trajectories and predictors in Spain: Results from the Spanish longitudinal study on aging and health (Edad con Salud)
spellingShingle Loneliness trajectories and predictors in Spain: Results from the Spanish longitudinal study on aging and health (Edad con Salud)
Dolz-Del-Castellar B
Loneliness
Subjective social isolation
Longitudinal trajectories
Mixture modeling
Risk factors
title_short Loneliness trajectories and predictors in Spain: Results from the Spanish longitudinal study on aging and health (Edad con Salud)
title_full Loneliness trajectories and predictors in Spain: Results from the Spanish longitudinal study on aging and health (Edad con Salud)
title_fullStr Loneliness trajectories and predictors in Spain: Results from the Spanish longitudinal study on aging and health (Edad con Salud)
title_full_unstemmed Loneliness trajectories and predictors in Spain: Results from the Spanish longitudinal study on aging and health (Edad con Salud)
title_sort Loneliness trajectories and predictors in Spain: Results from the Spanish longitudinal study on aging and health (Edad con Salud)
dc.creator.none.fl_str_mv Dolz-Del-Castellar B
de la Torre-Luque A
Castelletti C
Francia L
Rodriguez-Prada C
Miret M
Domènech-Abella J
Gabarrell-Pascuet A
Olaya B
Haro JM
Ayuso-Mateos JL
Lara E
author Dolz-Del-Castellar B
author_facet Dolz-Del-Castellar B
de la Torre-Luque A
Castelletti C
Francia L
Rodriguez-Prada C
Miret M
Domènech-Abella J
Gabarrell-Pascuet A
Olaya B
Haro JM
Ayuso-Mateos JL
Lara E
author_role author
author2 de la Torre-Luque A
Castelletti C
Francia L
Rodriguez-Prada C
Miret M
Domènech-Abella J
Gabarrell-Pascuet A
Olaya B
Haro JM
Ayuso-Mateos JL
Lara E
author2_role author
author
author
author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv Loneliness
Subjective social isolation
Longitudinal trajectories
Mixture modeling
Risk factors
topic Loneliness
Subjective social isolation
Longitudinal trajectories
Mixture modeling
Risk factors
description Background: In recent years, loneliness has been recognized as a public health problem, exacerbated by the COVID-19 pandemic. This study aims to identify groups of people with different trajectories of loneliness, and to explore potential determinants (sociodemographic, social, psychological, and health-related) associated with these trajectories. Methods: In this 12-year longitudinal study, we analyzed data on 4537 Spanish adults from a nationwide representative survey. A growth mixture modeling approach was used to identify different loneliness trajectories and logistic regressions to explore the determinants of these trajectories. Results: Two trajectory classes were identified: low-stable (87.86 %) and high-fluctuating (12.14 %). Marital status, living status, migration, social isolation, depression, suicidal ideation, and cognitive complaints were identified as significant determinants of belonging to the high-fluctuating trajectory. Conversely, social support, social trust, and life satisfaction were protective factors for this trajectory. Conclusion: This study revealed the presence of diverse courses of loneliness (each showing some distinctive characteristics from the other), outlining some relevant implications for the assessment, prevention, and management of loneliness.
publishDate 2025
dc.date.none.fl_str_mv 2025
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
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status_str publishedVersion
dc.identifier.none.fl_str_mv https://fsjd.fundanetsuite.com/Publicaciones/ProdCientif/PublicacionFrw.aspx?id=28227
url https://fsjd.fundanetsuite.com/Publicaciones/ProdCientif/PublicacionFrw.aspx?id=28227
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv ELSEVIER
publisher.none.fl_str_mv ELSEVIER
dc.source.none.fl_str_mv JOURNAL OF AFFECTIVE DISORDERS
ISSN: 01650327
ISSNe: 15732517
reponame:r-FSJD. Repositorio Institucional de Producción Científica de la Fundació Sant Joan de Déu
instname:Fundació Sant Joan de Déu
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collection r-FSJD. Repositorio Institucional de Producción Científica de la Fundació Sant Joan de Déu
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