Evidence map›Paper›PMID 42286611›Full record

ArticleBMC oral health2026

Latent class analysis of oral frailty among community-dwelling older adults: functional profiles and associated factors.

Yulian Li, Qian Zhu, Feng Zheng, Jialing Guo, Feifei Ai, Ga Zhuo

Abstract read
In one paragraph

Article in BMC oral 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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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Yulian LiSchool of Nursing, Fujian Medical University, No. 1 Xuefu North Road, University Town, Fuzhou, Fujian, 350122, China. 1039844789@qq.com.
Qian ZhuSchool of Nursing, Fujian Medical University, No. 1 Xuefu North Road, University Town, Fuzhou, Fujian, 350122, China.
Feng ZhengSchool of Nursing, Fujian Medical University, No. 1 Xuefu North Road, University Town, Fuzhou, Fujian, 350122, China.
Jialing GuoSchool of Nursing, Fujian Medical University, No. 1 Xuefu North Road, University Town, Fuzhou, Fujian, 350122, China.
Feifei AiSchool of Nursing, Fujian Medical University, No. 1 Xuefu North Road, University Town, Fuzhou, Fujian, 350122, China.
Ga ZhuoSchool of Nursing, Fujian Medical University, No. 1 Xuefu North Road, University Town, Fuzhou, Fujian, 350122, China.

Funding

the Qihang Project of Fujian Medical University 2023QH1012
6 · The paper itself

Abstract

backgroundOral frailty, characterized by multidimensional declines in oral function, perception, and behavior, has emerged as an important concern in geriatric oral health. However, population heterogeneity in oral frailty among community-dwelling older adults remains insufficiently understood. This study aimed to identify latent oral frailty subtypes using latent class analysis (LCA) and to examine factors associated with class membership.

methodsA cross-sectional survey was conducted among 252 community-dwelling older adults aged ≥ 60 years in Fujian Province, China. Oral frailty was assessed using the Oral Frailty Index (OFI-8). Latent class analysis(LCA) was applied to item-level OFI-8 responses to identify oral frailty subgroups. Multivariable multinomial logistic regression was used to examine sociodemographic, behavioral, nutritional, and psychosocial factors associated with latent class membership.

resultsLatent class analysis identified three distinct oral frailty classes based on item-level OFI-8 responses: Severe Multidomain Oral Frailty (17.0%), Masticatory-Dryness Impairment (42.1%), and Minimal Oral Deficits/Preserved Function (41.3%). Multinomial logistic regression showed that older age, current smoking, poorer oral health-related quality of life (lower GOHAI scores), lower oral health self-efficacy, and poorer nutritional status (lower MNA scores) were independently associated with membership in more severe oral frailty classes. Compared with the Minimal Oral Deficits/Preserved Function class, never smokers had significantly lower odds of membership in the Severe Multidomain Oral Frailty and Masticatory-Dryness Impairment classes. Chronic conditions were more prevalent in more severe classes in univariate analyses but were not independently associated with class membership after multivariable adjustment.

conclusionsSubstantial heterogeneity in oral frailty exists among community-dwelling older adults. The identified latent classes represent distinct oral functional profiles with differing associated risk patterns, underscoring the importance of class-specific prevention and intervention strategies. Early identification of individuals with masticatory and dryness-related impairments may provide an opportunity for timely intervention in individuals at greater risk of severe oral functional impairment.

Indexed as

Frail ElderlyFrailtyIndependent LivingOral HealthAgedAged, 80 and overChinaCross-Sectional StudiesFemaleHumansLatent Class AnalysisMaleQuality of LifeCommunity-dwelling older adultsLatent class analysisOral frailtyOral functionRisk factors

Identifiers

PMID42286611
PMCPMC13483604

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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.