The network structure of self-compassion in older adults with different productive engagement patterns.

Huinan Hu, Grand H-L Cheng, Stephen Cheong Yu Chan, Eddie S K Chong, Peiyi Lu, H N Cheung

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Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

6 authors.

Huinan HuDepartment of Social Work and Social Administration, The University of Hong Kong, Pok Fu Lam, Hong Kong, China.

Grand H-L ChengSchool of Arts and Social Sciences, Hong Kong Metropolitan University, Ho Man Tin, Hong Kong, China.

Stephen Cheong Yu ChanFelizberta Lo Padilla Tong School of Social Sciences, Saint Francis University, Tseung Kwan O, Hong Kong, China.

Eddie S K ChongDepartment of Social Work and Social Administration, The University of Hong Kong, Pok Fu Lam, Hong Kong, China.

Peiyi LuDepartment of Social Work and Social Administration, The University of Hong Kong, Pok Fu Lam, Hong Kong, China.

H N CheungDepartment of Social Work and Social Administration, The University of Hong Kong, Pok Fu Lam, Hong Kong, China. amy.hn.cheung@hku.hk.

Funding

HKSAR Research Grant Council UGC/FDS16/H01/20

6 · The paper itself

Abstract

Self-compassion has gained attention as an important factor for mental health. However, research on self-compassion in older adults is limited. This study aims to reveal the interactions among six self-compassion components in older adults and examine how productive engagement influences these components. A total of 807 older adults aged 55 and older in Hong Kong (67% females) participated in the study. They reported their self-compassion and productive engagement through questionnaires. Latent class analysis (LCA) was used to identify different patterns of productive engagement. The EBICglasso method estimated the self-compassion network for the overall sample and for different productive engagement patterns. The LCA results identified a group with low productive engagement (low productive engagement group) and three groups with engagement in certain productive activities (productive engagement group). The network analysis found that isolation was the central component in the overall sample and in the low productive engagement group. Mindfulness was the central component in the productive engagement group. A dual effect of productive engagement group reported that while it may enhance mindfulness, it might also contribute to the feeling of isolation. Further research is needed to explore these relationships in diverse sociocultural settings.

Indexed as

EmpathySelf ConceptAgedFemaleHong KongHumansLatent Class AnalysisMaleMental HealthMiddle AgedMindfulnessSurveys and QuestionnairesNetwork analysisOlder adultsProductive engagementSelf-compassion

Identifiers

PMID40595200

DOI10.1038/s41598-025-08157-1

PMCPMC12216479

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.