Evidence map›Paper›PMID 42741084›Full record

ArticleFrontiers in public health2026

Functional impairment profiles and long-term care implications among community health service-managed older adults with disability in China: a latent profile and network analysis study.

Ruishan Liu, Yiheng Chen, Ting Niu, Dingyi Zhang, Yuelin Li, Yulin Lu, Dan Yang

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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.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Ruishan LiuSchool of Nursing, Kunming Medical University, Kunming, China.
Yiheng ChenSchool of Nursing, Kunming Medical University, Kunming, China.
Ting NiuJinma Subdistrict Health Service Center, Guandu District, Kunming, China.
Dingyi ZhangSchool of Nursing, Kunming Medical University, Kunming, China.
Yuelin LiSchool of Nursing, Kunming Medical University, Kunming, China.
Yulin LuSchool of Nursing, Kunming Medical University, Kunming, China.
Dan YangJinma Subdistrict Health Service Center, Guandu District, Kunming, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To identify functional impairment profiles among older adults with disability managed within a community health service catchment in China and examine classification-adjusted associations between living arrangement and profile membership. Methods: This cross-sectional study included 361 older adults with disability from 13 communities in Kunming, China, surveyed from January to March 2026. Functional ability was assessed using the Specification for Ability Assessment of Older Adults (GB/T 42195-2022). Latent profile analysis used self-care ability, basic mobility, and mental state as indicators; a four-domain model including sensory perception and social participation was tested for sensitivity. Sequential R3STEP models examined living arrangement while accounting for classification uncertainty and progressively adjusting for demographic, socioeconomic, family-resource, and health-related variables. Exploratory network analysis compared the four functional domains between living-arrangement groups. Results: Four profiles were identified: severe multidomain impairment (28.3%), impaired mental state with relatively preserved physical function (12.7%), moderate functional impairment (53.5%), and relatively preserved function (5.5%). The four-domain model showed 92.5% classification agreement (Cohen's κ = 0.882). In the fully adjusted R3STEP model, compared with institutional living, home living was associated with greater odds of membership in the moderate functional impairment profile rather than the severe multidomain impairment profile (aOR = 7.046, 95% CI: 2.827-17.562; Conclusion: Functional impairment was heterogeneous. Home living was associated with membership in the moderate functional impairment and relatively preserved function profiles after adjustment for measured covariates. These cross-sectional associations do not establish causal effects because residual confounding and care-selection effects remain possible. Profile-based assessment may complement existing grading by identifying differentiated care needs.

Indexed as

Community Health ServicesFunctional StatusLong-Term CarePersons with DisabilitiesActivities of Daily LivingAgedAged, 80 and overChinaCross-Sectional StudiesFemaleHumansMalefunctional impairmentlatent profile analysisliving arrangementlong-term carenetwork analysisolder adults with disability

Identifiers

PMID42741084
PMCPMC13572153

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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.