Evidence map›Paper›PMID 42104856›Full record

ArticleAustralasian journal on ageing2026

Psychosocial Factors Mediate the Relationship Between Olfactory Function and Cognitive Frailty in Older Adults: A Structural Equation Modelling.

Li-Jun Chen, Chung-Ying Lin, Chieh-Ying Chou, Yu-Chi Liao, Yi-Ying Tsai, Esther En-Shu Kuo, Fang-Wen Hu

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Article in Australasian journal on ageing, 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

7 authors.

Li-Jun ChenDepartment of Internal Medicine, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan.
Chung-Ying LinInstitute of Allied Health Sciences, College of Medicine, National Cheng Kung University, Tainan, Taiwan.ORCID https://orcid.org/0000-0002-2129-4242
Chieh-Ying ChouDepartment of Family Medicine, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan.
Yu-Chi LiaoDepartment of Psychology, College of Medical and Health Science, Asia University, Taichung, Taiwan.ORCID https://orcid.org/0000-0002-7616-949X
Yi-Ying TsaiDepartment of Physical Therapy, College of Medicine, National Cheng Kung University, Tainan, Taiwan.
Esther En-Shu KuoSchool of Nursing, College of Nursing, Kaohsiung Medical University, Kaohsiung, Taiwan.
Fang-Wen HuSchool of Nursing, College of Nursing, Kaohsiung Medical University, Kaohsiung, Taiwan.

Funding

National Science and Technology Council 112-2314-B-037-132-MY3
6 · The paper itself

Abstract

objectiveWith the trend of population ageing, cognitive frailty in older adults is an increasingly pressing public health issue. Identifying early-stage risk factors has become a key priority for researchers with the goal of preventing disability. This study aimed to test a conceptual model and elucidate the pathways leading to cognitive frailty using Structural Equation Modelling (SEM).

methodsWe conducted a cross-sectional design with data from outpatient departments within a tertiary medical centre in southern Taiwan. Participants (n = 208) were aged 65 years or older and able to communicate independently with the researchers. Demographic factors, extant health conditions, and psychosocial factors were collected. Structural Equation Modelling (SEM) was used to construct a path model.

resultsOlfactory function was significantly positively correlated with nutritional status and significantly negatively correlated with depressive symptoms, resilience, and cognitive frailty. Nutritional status was significantly negatively correlated with sarcopenia. Resilience was significantly positively correlated with social support but negatively correlated with sarcopenia. Sarcopenia was significantly positively correlated with cognitive frailty. Social support was significantly negatively correlated with cognitive frailty. Despite these associations, in this model, only one specific serial indirect pathway-via resilience and social support-demonstrated a statistically significant mediating effect between olfactory function and cognitive frailty.

conclusionsThe findings suggest that the association between olfactory function and cognitive frailty may involve a limited, pathway-specific serial mediation through resilience and social support. Clinically, this pathway may help to inform the early identification of older adults with olfactory impairment who may benefit from targeted supportive strategies aimed at strengthening resilience and social support.

Indexed as

CognitionCognitive AgingFrail ElderlyFrailtyOlfaction DisordersSmellAgedAged, 80 and overAge FactorsCross-Sectional StudiesDepressionFemaleGeriatric AssessmentHumansLatent Class AnalysisMalefrailtyolfactionresiliencesocial networkstructural equation modeling

Identifiers

PMID42104856
PMCPMC13156806

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LicenceCC BY
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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.