Consistency analysis and conversion model establishment of mini-mental state examination and montreal cognitive assessment in Chinese patients with Alzheimer’s disease

Bibliographic Details
Title: Consistency analysis and conversion model establishment of mini-mental state examination and montreal cognitive assessment in Chinese patients with Alzheimer’s disease
Authors: Lu Zhou, Zhichuan Lin, Bin Jiao, Xinxin Liao, Yafang Zhou, Hui Li, Lu Shen, Ling Weng
Source: Frontiers in Psychology, Vol 13 (2022)
Publisher Information: Frontiers Media S.A., 2022.
Publication Year: 2022
Collection: LCC:Psychology
Subject Terms: MMSE-C, MoCA-BJ, AD, circle-arc method, consistency analysis, conversion model, Psychology, BF1-990
More Details: BackgroundThe Chinese version of the Mini-Mental State Examination (MMSE-C) and the Beijing version of the Montreal Cognitive Assessment (MoCA-BJ) are the most commonly used scales to screen for Alzheimer’s disease (AD) among Chinese patients; however, their consistency varies according to populations and languages. Equivalent conversion of MMSE-C and MoCA-BJ scores is important for meta-analysis.Materials and methodsMMSE-C and MoCA-BJ scoring were performed on the enrolled patients with AD (n = 332). Consistency analysis of MMSE-C and MoCA-BJ scores of patients in the conversion groups was performed. The circle-arc method was used to convert the MMSE-C scores of the conversion groups into MoCA-BJ scores, and the conversion formula was generated. The MMSE-C data of the verification group was converted to MoCA-BJ according to the formula, and the consistency analysis of the original MoCA-BJ of the verification group and the converted MoCA-BJ was performed to verify the conversion model.ResultsThe results of the consistency analysis of MMSE-C and MoCA-BJ in group A showed that the correlation coefficients of the total group, high education years subgroup, medium education years subgroup, and low education years subgroup were 0.905 (P < 0.001), 0.874 (P < 0.001), 0.949 (P < 0.001), and 0.874 (P < 0.001), respectively, with high consistency and statistical significance. After applying the circle-arc method for equivalent conversion, the consistency analysis results of the original and the converted MoCA-BJ of the patients in group B of the total group, high education years subgroup, medium education years subgroup, and low education years subgroup were 0.891 (P < 0.001), 0.894 (P < 0.001), 0.781 (P < 0.001), 0.909 (P < 0.001), respectively, with high consistency and statistical significance.ConclusionWe established and validated a model of MMSE-C and MoCA-BJ score conversion for Chinese patients with AD using the circle-arc method. This model could be useful for multi-centers clinical trials and meta-analysis.
Document Type: article
File Description: electronic resource
Language: English
ISSN: 1664-1078
Relation: https://www.frontiersin.org/articles/10.3389/fpsyg.2022.990666/full; https://doaj.org/toc/1664-1078
DOI: 10.3389/fpsyg.2022.990666
Access URL: https://doaj.org/article/10645d1f86eb45c0af1f8e94edcf3085
Accession Number: edsdoj.10645d1f86eb45c0af1f8e94edcf3085
Database: Directory of Open Access Journals
More Details
ISSN:16641078
DOI:10.3389/fpsyg.2022.990666
Published in:Frontiers in Psychology
Language:English