. 2023 Jan:79:103380.

doi: 10.1016/j.ajp.2022.103380. Epub 2022 Dec 5.

A predictive model for the risk of cognitive impairment in community middle-aged and older adults

Lining Pu¹, Degong Pan², Huihui Wang³, Xiaoxue He⁴, Xue Zhang⁵, Zhenfan Yu⁶, Naifan Hu⁷, Yurun Du⁸, Shulan He⁹, Xiaojuan Liu¹⁰, Jiangping Li¹¹

Affiliations

¹ Department of Epidemiology and Health Statistics, School of Public Health and Management, Ningxia Medical University, Yinchuan 750004, China. Electronic address: 18834184642@163.com.
² Department of Epidemiology and Health Statistics, School of Public Health and Management, Ningxia Medical University, Yinchuan 750004, China. Electronic address: 1986775997@qq.com.
³ Department of Epidemiology and Health Statistics, School of Public Health and Management, Ningxia Medical University, Yinchuan 750004, China. Electronic address: whh17861206502@163.com.
⁴ Department of Epidemiology and Health Statistics, School of Public Health and Management, Ningxia Medical University, Yinchuan 750004, China. Electronic address: 1926294645@qq.com.
⁵ Department of Epidemiology and Health Statistics, School of Public Health and Management, Ningxia Medical University, Yinchuan 750004, China. Electronic address: 1642827175@qq.com.
⁶ Department of Epidemiology and Health Statistics, School of Public Health and Management, Ningxia Medical University, Yinchuan 750004, China. Electronic address: Zhenfan_Yu@163.com.
⁷ Department of Epidemiology and Health Statistics, School of Public Health and Management, Ningxia Medical University, Yinchuan 750004, China. Electronic address: hunaifan5759@163.com.
⁸ Department of Epidemiology and Health Statistics, School of Public Health and Management, Ningxia Medical University, Yinchuan 750004, China. Electronic address: yurun_du@163.com.
⁹ Department of Epidemiology and Health Statistics, School of Public Health and Management, Ningxia Medical University, Yinchuan 750004, China. Electronic address: heshulan0954@163.com.
¹⁰ Department of Epidemiology and Health Statistics, School of Public Health and Management, Ningxia Medical University, Yinchuan 750004, China. Electronic address: 20200911@nxmu.edu.cn.
¹¹ Department of Epidemiology and Health Statistics, School of Public Health and Management, Ningxia Medical University, Yinchuan 750004, China; Key Laboratory of Environmental Factors and Chronic Disease Control, Ningxia Medical University, Yinchuan, Ningxia Hui Autonomous Region 750004, China. Electronic address: lijp@nxmu.edu.cn.

PMID: 36495830
DOI: 10.1016/j.ajp.2022.103380

A predictive model for the risk of cognitive impairment in community middle-aged and older adults

Lining Pu et al. Asian J Psychiatr. 2023 Jan.

. 2023 Jan:79:103380.

doi: 10.1016/j.ajp.2022.103380. Epub 2022 Dec 5.

Authors

Lining Pu¹, Degong Pan², Huihui Wang³, Xiaoxue He⁴, Xue Zhang⁵, Zhenfan Yu⁶, Naifan Hu⁷, Yurun Du⁸, Shulan He⁹, Xiaojuan Liu¹⁰, Jiangping Li¹¹

Affiliations

¹ Department of Epidemiology and Health Statistics, School of Public Health and Management, Ningxia Medical University, Yinchuan 750004, China. Electronic address: 18834184642@163.com.
² Department of Epidemiology and Health Statistics, School of Public Health and Management, Ningxia Medical University, Yinchuan 750004, China. Electronic address: 1986775997@qq.com.
³ Department of Epidemiology and Health Statistics, School of Public Health and Management, Ningxia Medical University, Yinchuan 750004, China. Electronic address: whh17861206502@163.com.
⁴ Department of Epidemiology and Health Statistics, School of Public Health and Management, Ningxia Medical University, Yinchuan 750004, China. Electronic address: 1926294645@qq.com.
⁵ Department of Epidemiology and Health Statistics, School of Public Health and Management, Ningxia Medical University, Yinchuan 750004, China. Electronic address: 1642827175@qq.com.
⁶ Department of Epidemiology and Health Statistics, School of Public Health and Management, Ningxia Medical University, Yinchuan 750004, China. Electronic address: Zhenfan_Yu@163.com.
⁷ Department of Epidemiology and Health Statistics, School of Public Health and Management, Ningxia Medical University, Yinchuan 750004, China. Electronic address: hunaifan5759@163.com.
⁸ Department of Epidemiology and Health Statistics, School of Public Health and Management, Ningxia Medical University, Yinchuan 750004, China. Electronic address: yurun_du@163.com.
⁹ Department of Epidemiology and Health Statistics, School of Public Health and Management, Ningxia Medical University, Yinchuan 750004, China. Electronic address: heshulan0954@163.com.
¹⁰ Department of Epidemiology and Health Statistics, School of Public Health and Management, Ningxia Medical University, Yinchuan 750004, China. Electronic address: 20200911@nxmu.edu.cn.
¹¹ Department of Epidemiology and Health Statistics, School of Public Health and Management, Ningxia Medical University, Yinchuan 750004, China; Key Laboratory of Environmental Factors and Chronic Disease Control, Ningxia Medical University, Yinchuan, Ningxia Hui Autonomous Region 750004, China. Electronic address: lijp@nxmu.edu.cn.

PMID: 36495830
DOI: 10.1016/j.ajp.2022.103380

Abstract

Identifying individuals at high risk of cognitive impairment is essential for treatment and prevention strategies. We aimed to develop and validate a prediction model for evaluating the risk of cognitive impairment. Data were from the China Family Panel Studies (CFPS) and China Health and Retirement Longitudinal Study (CHARLS). A total of 14,265 subjects were selected for model development. The area under the curve(AUC) for the training, internal, and external validation sets were 0.775, 0.920, and 0.727, respectively. This model could be used to identify middle-aged and older adults aged 45 years and older at high risk of cognitive impairment.

Keywords: Cognitive impairment; Middle-aged and older adults; Modifiable risk factors; Prediction model.

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Conflict of interest statement

Conflict of Interests All authors declare that there no conflict of interests.

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A predictive model for the risk of cognitive impairment in community middle-aged and older adults

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A predictive model for the risk of cognitive impairment in community middle-aged and older adults

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