Research progress on risk prediction models for cognitive frailty among the elderly in the community
Wang Yingzhen, Dong Min, Meng Ling, Xu Xiaopan, Mo Beirong
Published 2023-12-16
Cite as Chin J Mod Nurs, 2023, 29(35): 4887-4891. DOI: 10.3760/cma.j.cn115682-20230210-00440
Abstract
Cognitive frailty is a heterogeneous clinical syndrome with cumulative effects in the negative events. The key link of prevention and management of cognitive frailty is to carry out community-based screening, effectively integrate and identify the predictive factors of cognitive frailty, early control the risk factors of cognitive frailty, and reduce the incidence. Building risk prediction models for disease diagnosis and risk prediction gradually becomes a research hotspot. This paper summarizes the risk factors, overview of risk prediction models, and comparison of different risk prediction models for cognitive frailty among the elderly in the community, in order to provide reference for grassroots medical and nursing staff to intervene in cognitive frailty among the elderly in the community.
Key words:
Review; Community; Cognitive frailty; Aged; Risk factors; Prediction model
Contributor Information
Wang Yingzhen
Graduate School, Zhuhai Campus, Zunyi Medical University, Zhuhai 519041, China
Dong Min
Graduate School, Zhuhai Campus, Zunyi Medical University, Zhuhai 519041, China
Meng Ling
Graduate School, Zhuhai Campus, Zunyi Medical University, Zhuhai 519041, China
Xu Xiaopan
School of Nursing, Nanchang University, Nanchang 330036, China
Mo Beirong
Graduate School, Zhuhai Campus, Zunyi Medical University, Zhuhai 519041, China
Nursing Department, Union Shenzhen Hospital, Huazhong University of Science and Technology, Shenzhen 518052, China