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

被引：17

作者：

Pu, Lining ^{[1
]}

Pan, Degong ^{[1
]}

Wang, Huihui ^{[1
]}

He, Xiaoxue ^{[1
]}

Zhang, Xue ^{[1
]}

Yu, Zhenfan ^{[1
]}

Hu, Naifan ^{[1
]}

Du, Yurun ^{[1
]}

He, Shulan ^{[1
]}

Liu, Xiaojuan ^{[1
]}

Li, Jiangping ^{[1
,2
,3
]}

机构：

[1] Ningxia Med Univ, Sch Publ Hlth & Management, Dept Epidemiol & Hlth Stat, Yinchuan 750004, Peoples R China

[2] Ningxia Med Univ, Key Lab Environm Factors & Chron Dis Control, Yinchuan 750004, Ningxia Hui Aut, Peoples R China

[3] Ningxia Med Univ, Sch Publ Hlth & Management, Dept Epidemiol & Stat, Yinchuan 750004, Peoples R China

来源：

ASIAN JOURNAL OF PSYCHIATRY | 2023年 / 79卷

基金：

中国国家自然科学基金;

关键词：

Prediction model; Cognitive impairment; Middle-aged and older adults; Modifiable risk factors; ALZHEIMERS-DISEASE;

D O I：

10.1016/j.ajp.2022.103380

中图分类号：

R749 [精神病学];

学科分类号：

100205 ;

摘要：

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.

引用

页数：4

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