| Literature DB >> 26441005 |
Chuan Shi1, Lan Kang1, Shuqiao Yao2, Yibin Ma1, Tao Li1, Ying Liang1, Zhang Cheng1, Yifeng Xu3, Jianguo Shi4, Xiufeng Xu5, Congpei Zhang6, Donald R Franklin7, Robert K Heaton7, Hua Jin8, Xin Yu9.
Abstract
MATRICS Consensus Cognitive Battery (MCCB), packaging 10 tests selected from more than 90 nominated tests, is a method developed by the Measurement and Treatment Research to Improve Cognition in Schizophrenia (MATRICS) group to evaluate the efficacy of treatments targeting cognitive impairments in schizophrenia. MCCB had been translated into a number of languages, but only the US and Spain had normative data reported. Inconsistency in translation and cultural differences make direct application of MCCB in China problematic. In this study, we administered the battery to a representative community sample based on Chinese population census in 2005 and obtained normative data. The effects of age, gender, education level, and scale of residence area on test performance were examined. The sample included 656 healthy volunteers from six sites in China. At each site, sample was stratified according to age, gender, and educational level, and scale of the area one was born in, grew up in and currently living in was recorded. We found age, gender, and education had significant effects on the normative data for MCCB in China, which are comparable to those found for the original standardized English version in the U.S. and the Spanish version in Spain. Remarkably, the residence scale effects on neuropsychological performance were significant, which should be taking into account when calculating the standardized T score for each subject. The practice effects were minor and test-retest reliability of MCCB was good, which suggests MCCB as an appropriate measure for clinical and research usage in China.Entities:
Keywords: Cognition; MATRICS; MCCB; Schizophrenia
Mesh:
Year: 2015 PMID: 26441005 PMCID: PMC4916953 DOI: 10.1016/j.schres.2015.09.003
Source DB: PubMed Journal: Schizophr Res ISSN: 0920-9964 Impact factor: 4.939