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Development and Validation of a New Simple Functional Score in the Older Chinese Population

Datos Bibliográficos

ID22082467
AutoresXingqi Cao (0000-0002-4726-7170, Second Affiliated Hospital of Zhejiang University), Chen Chen (0000-0002-9786-8003), He Liu (0000-0002-4103-312X, Second Affiliated Hospital of Zhejiang University), Liu He (0009-0005-2662-4211), Zhoutao Zheng (0000-0002-8156-0602, Second Affiliated Hospital of Zhejiang University), Jingyun Zhang (0000-0001-9385-853X, Second Affiliated Hospital of Zhejiang University), Emiel O Hoogendijk (0000-0001-9660-5108, Amsterdam UMC Location Vrije Universiteit Amsterdam), Xiaoting Liu (0000-0002-8386-9515, Zhejiang University), Shujuan Li (0000-0002-0494-870X, Capital Medical University), Xiaofeng Wang (0000-0001-8212-6931, Fudan University, autor de correspondencia), Yimin Zhu (0000-0002-3871-4733, Zhejiang University, autor de correspondencia), Zuyun Liu (0000-0001-6120-5913, Second Affiliated Hospital of Zhejiang University, autor de correspondencia)
Año2022
Volumen10
Páginas813323-813323
Fecha de publicación2022-02-24
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaFrontiers in Public Health (JOURNAL)
Identificadores de la revistaISSN: 2296-2565 • E-ISSN: 2296-2565
EditorialFrontiers Media SA (PUBLISHER • CH)
DOI10.3389/fpubh.2022.813323
PMID35284388
OpenAlexW4213434255
IdiomaEN
Referencias citadas27

Background Existing aging metrics incorporating cognitive and physical function are often not feasible for application in research and clinical practice. Therefore, this study aimed to develop and validate a new simple functional score based on self-reported cognitive and physical function in the older Chinese population. Methods The development sample included 3,929 older adults aged 60–95 years from the China Health and Retirement Longitudinal Study (CHARLS). The validation sample included 1,345 older adults aged 60–87 years from the Rugao Longitudinal Aging study (RLAS). Logistic regression models and receiver operating characteristic curves were used to examine the associations of the new functional score with all-cause mortality risk. Results Six items were selected to construct the new functional score in CHARLS. This functional score was associated with all-cause mortality risk, with an adjusted odds ratio of 1.10 (95% confidence interval = 1.07, 1.13). This functional score presented additional predictive utility beyond age and sex, as demonstrated by the significantly increased C-statistic, integrated discrimination improvement (IDI), and continuous net reclassification improvement (NRI) (all P < 0.001). Furthermore, this functional score was further validated in RLAS, such that adding the new functional score to a model of age and sex improved all-cause mortality risk discrimination (IDI = 0.036, P < 0.001; NRI = 0.485, P < 0.001). To facilitate the quick screening of the older population with deteriorations in cognitive and physical function, we introduced a publicly available online tool designed for this new functional score. Conclusions A new functional score based on six self-reported items was developed and validated in the older Chinese population, and was demonstrated to be a simple and practical tool to assess functional deterioration, showing good feasibility, and performance

Environmental health · Population · Computer Science · Dementia and Cognitive Impairment Research · Frailty in Older Adults · Intensive Care Unit Cognitive Disorders · Medicine · Gerontology

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