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Trajectories of cognitive function development and predictive factors in disabled middle-aged and older adults

Bibliographic Data

ID22085342
AuthorsJiaxue Pang (0009-0001-7207-9593, Bengbu Medical College), Yang Xu (0000-0003-3898-022X, Bengbu Medical College), Qiankun Liu (0000-0003-3073-9730, Bengbu Medical College), Juju Huang (Bengbu Medical College), Pengyao Li (0000-0002-8867-7520, Bengbu Medical College), Li Ma (0000-0002-8688-5588, Bengbu Medical College), Chunlu Zeng (Bengbu Medical College), Xiaoqing Ma (0000-0001-8966-541X, Bengbu Medical College), Hui Xie (0000-0002-8312-891X, Bengbu Medical College, corresponding author)
Year2024
Volume12
Pages1436722-1436722
Publication date2024-09-09
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueFrontiers in Public Health (JOURNAL)
Journal identifiersISSN: 2296-2565 • E-ISSN: 2296-2565
PublisherFrontiers Media SA (PUBLISHER • CH)
DOI10.3389/fpubh.2024.1436722
PMID39314790
OpenAlexW4402381360
LanguageEN
Citations received1
References cited56

Objective: To explore the trajectories of cognitive function development and predictive factors in disabled middle-aged and older adults. Methods: Utilizing data from 983 disabled middle-aged and older adults in the China Health and Retirement Longitudinal Study (CHARLS) from 2013 to 2020, latent growth mixture models were constructed to analyze the categories of cognitive function development trajectories and their predictive factors. Results: The cognitive function trajectories of the disabled middle-aged and older adults were classified into three categories: rapid decline (32.6%), Slow decline (36.1%), and Stable (31.2%). Multinomial logistic regression analysis identified age, gender, residence, education, marital status, household income, sleep duration, depression, hearing ability, and social participation as predictors of these trajectories. Conclusion: There is heterogeneity in the cognitive function development trajectories among disabled middle-aged and older adults. Healthcare professionals can implement targeted health management based on the characteristics of different groups to prevent the deterioration of cognitive function in this population

Cognition · Physical medicine and rehabilitation · Psychiatry · Aging and Gerontology Research · Dementia and Cognitive Impairment Research · Medicine · Psychology · Technology Use by Older Adults · Gerontology

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Unique citing works1
Citations per year0,5
Citation span2024 - 2024 (1)
Citation velocityrecent
Highly citedNo
Citation typesNeutral: 1

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