ArticleFrontiers in psychiatry2026
Network analysis of social isolation, loneliness, depression and anxiety among post-discharge rehabilitation patients.
Article in Frontiers in psychiatry, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Patients undergoing inpatient or outpatient rehabilitation frequently experience substantial changes in physical functioning, social roles, and daily routines, which may increase vulnerability to social disconnection and psychological distress. This study applied network analysis to explore the interrelationships among social isolation, loneliness, anxiety, and depression in post-discharge rehabilitation patients. Aims: This study aimed to characterize two network models of social isolation, loneliness, depressive symptoms, and anxiety symptoms among post-discharge rehabilitation patients. Methods: A cross-sectional study was conducted among patients discharged from the rehabilitation department of a tertiary hospital in China during outpatient follow-up between August 2024 and June 2025. Data on social isolation, loneliness, depressive symptoms and anxiety symptoms were collected from participants. Network structures were estimated using a Graphical Gaussian Model and a Directed Acyclic Graph. Results: A total of 340 patients discharged from the rehabilitation department were included, with a mean age of 62.1 years. The Graphical Gaussian Model identified a moderately dense network with strong connections between social isolation and loneliness, as well as between several anxiety and depressive symptoms. Fear of awful events, anhedonia, and fatigue emerged as the most central symptoms within the network. The Directed Acyclic Graph analysis suggested that fatigue and fear of awful events functioned as upstream symptoms influencing other emotional and social symptoms. Conclusions: Among post-discharge rehabilitation patients, social isolation and loneliness in are embedded within a complex network of anxiety and depressive symptoms. The identified central and bridge symptoms may serve as hypothesis-generating candidates for future psychosocial intervention studies. Network analysis provides a useful framework for examining psychological distress in rehabilitation settings.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.