Developmental trajectories of loneliness and social support in older adults: based on the parallel process latent growth curve model

BackgroundWith the acceleration of global aging, loneliness among older adults has become a prominent issue and a critical public health concern. Existing research has primarily focused on the cross-sectional relationship between social support and loneliness, but longitudinal dynamics and bidirecti...

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Main Authors: Chang Hu, Yuhan Chen, Xin Li, Xi Wang, Jin Chu
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-07-01
Series:Frontiers in Public Health
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Online Access:https://www.frontiersin.org/articles/10.3389/fpubh.2025.1625322/full
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author Chang Hu
Yuhan Chen
Xin Li
Xi Wang
Jin Chu
author_facet Chang Hu
Yuhan Chen
Xin Li
Xi Wang
Jin Chu
author_sort Chang Hu
collection DOAJ
description BackgroundWith the acceleration of global aging, loneliness among older adults has become a prominent issue and a critical public health concern. Existing research has primarily focused on the cross-sectional relationship between social support and loneliness, but longitudinal dynamics and bidirectional mechanisms remain underexplored. This study aims to explore the developmental trajectories and interaction between loneliness and social support among Chinese older residents in the community.MethodsThe study was conducted with three waves of data collection (6-month intervals) over 1 years, involving 1,225 Chinese older residents in the community. The Navigating the Social Support Scale and the UCLA Loneliness Scale were used to measure social support and loneliness, respectively. Cross-lagged panel modeling (CLPM) was employed to examine bidirectional predictive relationships, while parallel process latent growth curve modeling (LGCM) was applied to assess associations between initial levels and developmental rates of the two constructs.Results(1) The loneliness of the older adults gradually increased over time, while the level of social support slowly decreased. (2) Loneliness could negatively predict social support from T1 to T2, and T2 to T3, but only social support at T1 negatively predicted loneliness at T2. (3) The initial level of loneliness could negatively predict the development speed of social support, and social support could also negatively predict the development speed of loneliness.ConclusionWe found that that high loneliness is a risk factor in the development of social support levels, and high social support is also a protective factor in the development of loneliness, which provides empirical evidence for the study of emotional health in the older adults.
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spelling doaj-art-649fdd102dcf4440b05d746e5a9cd85e2025-08-20T02:43:39ZengFrontiers Media S.A.Frontiers in Public Health2296-25652025-07-011310.3389/fpubh.2025.16253221625322Developmental trajectories of loneliness and social support in older adults: based on the parallel process latent growth curve modelChang Hu0Yuhan Chen1Xin Li2Xi Wang3Jin Chu4General Education Department, Wuhan College, Wuhan, ChinaSchool of Public Health Nursing, Hangzhou Normal University, Hangzhou, ChinaDepartment of Sociology, University of Manchester, Manchester, United KingdomGeneral Education Department, Wuhan College, Wuhan, ChinaSchool of Sociology, Nankai University, Tianjin, ChinaBackgroundWith the acceleration of global aging, loneliness among older adults has become a prominent issue and a critical public health concern. Existing research has primarily focused on the cross-sectional relationship between social support and loneliness, but longitudinal dynamics and bidirectional mechanisms remain underexplored. This study aims to explore the developmental trajectories and interaction between loneliness and social support among Chinese older residents in the community.MethodsThe study was conducted with three waves of data collection (6-month intervals) over 1 years, involving 1,225 Chinese older residents in the community. The Navigating the Social Support Scale and the UCLA Loneliness Scale were used to measure social support and loneliness, respectively. Cross-lagged panel modeling (CLPM) was employed to examine bidirectional predictive relationships, while parallel process latent growth curve modeling (LGCM) was applied to assess associations between initial levels and developmental rates of the two constructs.Results(1) The loneliness of the older adults gradually increased over time, while the level of social support slowly decreased. (2) Loneliness could negatively predict social support from T1 to T2, and T2 to T3, but only social support at T1 negatively predicted loneliness at T2. (3) The initial level of loneliness could negatively predict the development speed of social support, and social support could also negatively predict the development speed of loneliness.ConclusionWe found that that high loneliness is a risk factor in the development of social support levels, and high social support is also a protective factor in the development of loneliness, which provides empirical evidence for the study of emotional health in the older adults.https://www.frontiersin.org/articles/10.3389/fpubh.2025.1625322/fullsocial supportlonelinesscross-lagged modelparallel process latent growth curve modelolder adults
spellingShingle Chang Hu
Yuhan Chen
Xin Li
Xi Wang
Jin Chu
Developmental trajectories of loneliness and social support in older adults: based on the parallel process latent growth curve model
Frontiers in Public Health
social support
loneliness
cross-lagged model
parallel process latent growth curve model
older adults
title Developmental trajectories of loneliness and social support in older adults: based on the parallel process latent growth curve model
title_full Developmental trajectories of loneliness and social support in older adults: based on the parallel process latent growth curve model
title_fullStr Developmental trajectories of loneliness and social support in older adults: based on the parallel process latent growth curve model
title_full_unstemmed Developmental trajectories of loneliness and social support in older adults: based on the parallel process latent growth curve model
title_short Developmental trajectories of loneliness and social support in older adults: based on the parallel process latent growth curve model
title_sort developmental trajectories of loneliness and social support in older adults based on the parallel process latent growth curve model
topic social support
loneliness
cross-lagged model
parallel process latent growth curve model
older adults
url https://www.frontiersin.org/articles/10.3389/fpubh.2025.1625322/full
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