ArticleBelitung nursing journal2026
Network structure of multidimensional frailty among long-term care residents in China: A cross-sectional network analysis.
Article in Belitung nursing journal, 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
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Multidimensional frailty is highly prevalent among older adults residing in long-term care facilities (LTCFs). However, the structural interrelationships among physical, psychological, social, cognitive, and functional health domains remain insufficiently understood. Objective: To characterize the network structure of multidimensional frailty domains and related health indicators among institutionalized older adults. Methods: This cross-sectional study included 272 LTCF residents from Liaoning, China. Eleven theoretically selected health indicators were modeled using a Mixed Graphical Model with ℓ1-regularized neighborhood regression and model selection based on the Extended Bayesian Information Criterion (γ = 0.25). This approach estimates sparse conditional dependence structures among mixed data types. Strength centrality was used as the primary descriptive metric. Network accuracy and stability were evaluated using non-parametric and case-dropping bootstrap procedures. Results: The strongest conditional association emerged between age and cognitive impairment (edge weight = 0.68). Substantial associations were also observed between physical frailty and ADL dependency (edge weight = 0.43), and between psychological frailty and depressive symptoms (edge weight = 0.45). Physical frailty, ADL dependency, and depression exhibited relatively high strength centrality values; however, bootstrap difference tests indicated that these nodes were not statistically more central than several other highly connected indicators. The correlation stability coefficient for strength centrality was 0.75, indicating good stability of strength centrality estimates within this sample. Conclusion: The network revealed an interconnected pattern linking functional dependency, physical frailty, and psychosocial health among LTCF residents. Because the data were cross-sectional, the observed conditional associations should not be interpreted as causal or temporal pathways. These findings highlight the potential value of multidomain nursing assessment in long-term care settings and may inform hypothesis generation for future longitudinal or interventional nursing studies.
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.