Evidence map›Paper›PMID 42145492›Full record

ArticleFrontiers in public health2026

Exploring the relationship between cognitive function and frailty in middle-aged and older adults Chinese adults: evidence from the CHARLS database.

Biqi Zu, Ting Wang, Guangchuan Li, Yajin Chen, Libin An, Juan Yin, Wentao Li

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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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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.

Biqi Zu *Department of Psychiatry, Dalian Seventh People's Hospital, Dalian, China.
Ting Wang *Department of Research, School of Nursing, Dalian University, Dalian, China.
Guangchuan LiDepartment of Research, School of Nursing, Dalian University, Dalian, China.
Yajin ChenDepartment of Research, School of Nursing, Dalian University, Dalian, China.
Libin AnDepartment of Research, School of Nursing, Dalian University, Dalian, China.
Juan YinDepartment of Research, School of Nursing, Dalian University, Dalian, China.
Wentao LiDepartment of Research, School of Nursing, Dalian University, Dalian, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Frailty is a complex age-related clinical syndrome characterized by diminished physiological reserve and increased vulnerability to stressors. Cognitive function may be associated with frailty; however, evidence from nationally representative Chinese populations remains limited. Methods: This cross-sectional study utilized data from the China Health and Retirement Longitudinal Study (CHARLS), a nationally representative survey of individuals aged 45 and older. Cognitive function was assessed using the Mini-Mental State Examination (MMSE), and frailty was evaluated using the Physical Frailty Phenotype (PFP). Data from 19,307 participants were analyzed using logistic regression, Lasso regression, and overlap weighting methods to control for confounding factors. Subgroup analyses by age and gender were conducted to examine variations in the association between cognitive function and frailty. Results: Among the participants, 13.49% were assessed as having cognitive impairment, and 3.53% were identified as frail. Logistic regression showed that cognitive impairment was associated with a 146% increased risk of frailty (OR: 2.46, 95% CI: 2.15-2.83). Subgroup analysis revealed a stronger association in individuals over 60 years old (OR: 3.35, 95% CI: 2.23-5.06) and in women (OR: 3.25, 95% CI: 1.84-5.74) compared to men (OR: 2.56, 95% CI: 2.03-3.26). Sensitivity analyses confirmed the robustness of these findings. Conclusion: Cognitive impairment is significantly associated with an increased risk of frailty, particularly in older adults and women. These findings suggest that cognitive decline is associated with higher frailty risk, and this association may be explained by physiological, psychological, and social factors. Future longitudinal and intervention studies are needed to determine whether addressing cognitive impairment can reduce frailty risk and improve health outcomes in aging populations, particularly in vulnerable subgroups.

Indexed as

CognitionCognitive DysfunctionFrailtyAgedChinaCross-Sectional StudiesDatabases, FactualEast Asian PeopleFemaleHumansLogistic ModelsLongitudinal StudiesMaleMiddle AgedagingCHARLScognitive impairmentfrailtymiddle-aged and older adults

Identifiers

PMID42145492
PMCPMC13175865

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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.