ArticleFrontiers in public health2026
Network analysis of sleep disorders, anxiety, and loneliness among the community-dwelling older adults.
Article in Frontiers in public health, 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
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objective: To explore the relationships among sleep disorders, loneliness, and anxiety in community-dwelling older adults, and to provide empirical evidence for developing targeted intervention strategies to improve their overall health. Methods: A total of 1,637 community-dwelling older adults were recruited from Nanchong through convenience sampling. Sleep disorders, anxiety, and loneliness were assessed using the Pittsburgh Sleep Quality Index (PSQI), the Generalized Anxiety Disorder 7-item Scale (GAD-7), and the short form of the UCLA Loneliness Scale (ULS-8), respectively. Network analysis was conducted using R 4.5.1 to examine the symptom-level associations among sleep disorders, anxiety, and loneliness. Results: Most symptoms of sleep disorders, anxiety, and loneliness were positively correlated, forming a highly interconnected Gaussian graphical model (GGM) comorbidity network. In the GGM network, PSQI4, GAD2, and PSQI2 were identified as core symptoms, while PSQI4, ULS5, and PSQI2 were identified as bridge symptoms. Bayesian network analysis showed that ULS3 was the upstream node in the directed acyclic graph and pointed to 10 nodes, while GAD1 did not point to any nodes. Network comparison analysis further revealed no significant gender differences in the comorbidity network among older adults. Conclusion: This study provides a deeper understanding of the symptom-level relationships among sleep disorders, loneliness, and anxiety in community-dwelling older adults. The core and bridge symptoms identified in the GGM network may serve as key targets for the prevention and treatment of this comorbidity. In addition, the upstream node identified in the Bayesian network may provide useful insights for future longitudinal research and the development of interventions aimed at improving the overall health of community-dwelling older adults.
Indexed as
Identifiers
What Socratic 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 Socratic graph.