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Validation of neuropsychological tests for the China Health and Retirement Longitudinal Study Harmonized Cognitive Assessment Protocol

Published online by Cambridge University Press:  16 July 2019

Qinqin Meng ,
Huali Wang Open the ORCID record for Huali Wang [Opens in a new window] ,
John Strauss ,
Kenneth M. Langa ,
Xinxin Chen ,
Mingwei Wang ,
Qiumin Qu ,
Wei Chen ,
Weihong Kuang  and
Nan Zhang
...Show all authors
Qinqin Meng
Affiliation:
Institute of Social Science Survey, Peking University, Beijing, China
Huali Wang*
Affiliation:
Dementia Care & Research Center, Beijing Dementia Key Lab, Peking University Institute of Mental Health (Sixth Hospital), National Clinical Research Center for Mental Health, Key Laboratory of Mental Health, National Health Commission, Beijing, China
John Strauss
Affiliation:
Department of Economics, University of Southern California, Los Angeles, CA, USA
Kenneth M. Langa
Affiliation:
Medical School, Institute for Social Research, Institute for Healthcare Policy and Innovation, Veterans Affairs Center for Clinical Management Research, University of Michigan, Ann Arbor, MI, USA
Xinxin Chen
Affiliation:
Institute of Social Science Survey, Peking University, Beijing, China
Mingwei Wang
Affiliation:
The First Hospital of Hebei Medical University, Brain Aging and Cognitive Neuroscience Key Laboratory of Hebei Province, Hebei, Shijiazhuang, China
Qiumin Qu
Affiliation:
First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
Wei Chen
Affiliation:
Sir Shaw Run Hospital, School of Medicine, Zhejiang University, Zhejiang, China
Weihong Kuang
Affiliation:
West China Hospital, Sichuan University, Chengdu, China
Nan Zhang
Affiliation:
Tianjin Medical University General Hospital, Tianjin, China
Tao Li
Affiliation:
Dementia Care & Research Center, Beijing Dementia Key Lab, Peking University Institute of Mental Health (Sixth Hospital), National Clinical Research Center for Mental Health, Key Laboratory of Mental Health, National Health Commission, Beijing, China
Yafeng Wang
Affiliation:
Institute of Social Science Survey, Peking University, Beijing, China
Yaohui Zhao*
Affiliation:
National School of Development, Peking University, Beijing, China
*
Correspondence should be addressed to: Huali Wang, Dementia Care & Research Center, Peking University Institute of Mental Health. Phone: +86-10-82801983; Fax: +86-10-62011769. Email: huali_wang@bjmu.edu.cn;
Yaohui Zhao, National School of Development, Peking University. Phone/Fax: +86-10-62754803. Email: yhzhao@nsd.pku.edu.cn.
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Abstract

Objective:

To compare and validate neurocognitive tests in the Harmonized Cognitive Assessment Protocol (HCAP) for the China Health and Retirement Longitudinal Study (CHARLS), and to identify appropriate tests to be administered in future waves of CHARLS.

Methods:

We recruited 825 individuals from the CHARLS sample and 766 subjects from hospitals in six provinces and cities in China. All participants were administered the HCAP-neurocognitive tests, and their informants were interviewed regarding the respondents’ functional status. Trained clinicians administered the Clinical Dementia Rating scale (CDR) to assess the respondents’ cognitive status independently.

Results:

The testing protocol took an average of 58 minutes to complete. Refusal rates for tests of general cognition, episodic memory, and language were less than 10%. All neurocognitive test scores significantly correlated with the CDR global score (correlation coefficients ranged from 0.139 to 0.641). The Mini-Mental State Examination (MMSE), the Health and Retirement Study (HRS) - telephone interview for cognitive status (TICS), community screening instrument for dementia (CSI-D) for respondent, episodic memory and language tests each accounted for more than 20% of the variance in global CDR score (p < 0.001) in bivariate tests. In the CHARLS subsample, age and education were associated with neuropsychological performance across most cognitive domains, and with functional status.

Conclusion:

A brief set of the CHARLS-HCAP neurocognitive tests are feasible and valid to be used in the CHARLS sample and hospital samples. It could be applied in the future waves of the CHARLS study, and it allows estimating the prevalence of dementia in China through the population-based CHARLS.

Keywords

cognitive testingmemorydementiapopulationelderly

Information

Type
Original Research Article
Information
International Psychogeriatrics , Volume 31 , Issue 12: Issue Theme: Assessment of Cognitive Impairment in East Asia , December 2019 , pp. 1709 - 1719
Copyright
© International Psychogeriatric Association 2019 

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Footnotes

†

Contributed equally

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