TY - JOUR
T1 - Loneliness trajectories and predictors in Spain
T2 - Results from the Spanish longitudinal study on aging and health (Edad con Salud)
AU - Dolz-del-Castellar, Blanca
AU - de la Torre-luque, Alejandro
AU - Castelletti, Chiara
AU - Francia, Lea
AU - Rodriguez-Prada, Cristina
AU - Miret, Marta
AU - Domenech-Abella, Joan
AU - Gabarrell-Pascuet, Aina
AU - Olaya, Beatriz
AU - Haro, Josep Maria
AU - Ayuso-Mateos, Jose Luis
AU - Lara, Elvira
PY - 2025/6/1
Y1 - 2025/6/1
N2 - 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.
AB - 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.
KW - Loneliness
KW - Longitudinal trajectories
KW - Mixture modeling
KW - Risk factors
KW - Subjective social isolation
UR - https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=uab_pure&SrcAuth=WosAPI&KeyUT=WOS:001437497400001&DestLinkType=FullRecord&DestApp=WOS_CPL
U2 - 10.1016/j.jad.2025.02.084
DO - 10.1016/j.jad.2025.02.084
M3 - Article
C2 - 40015651
SN - 0165-0327
VL - 378
SP - 100
EP - 108
JO - Journal of Affective Disorders
JF - Journal of Affective Disorders
ER -