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The MATRICS Consensus Cognitive Battery (MCCB): Co-norming and standardization in China.
Chuan Shi1, Lan Kang1, Shuqiao Yao2
1Peking University Institute of Mental Health (Sixth Hospital), Beijing, China; National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital) Beijing, China; Key Laboratory of Mental Health, Ministry of Health (Peking University), Beijing, China.
This study established normative data for the MATRICS Consensus Cognitive Battery (MCCB) in China, adapting it for local use. Findings show age, gender, and education impact scores, with residence scale also being significant.
Area of Science:
- Neuropsychology
- Psychiatry
- Cognitive Science
Background:
- The MATRICS Consensus Cognitive Battery (MCCB) is crucial for assessing cognitive impairments in schizophrenia.
- Existing MCCB normative data is limited to the US and Spain, posing challenges for application in China due to translation and cultural differences.
Purpose of the Study:
- To develop and validate normative data for the MCCB in a representative Chinese population.
- To examine the influence of demographic factors (age, gender, education) and residence scale on MCCB performance in China.
Main Methods:
- Administered the MCCB to 656 healthy volunteers across six sites in China, stratified by age, gender, and education.
- Collected data on participants' place of birth, upbringing, and current residence scale.
- Analyzed the effects of demographic variables and residence scale on test performance.
Main Results:
- Age, gender, and education significantly affected MCCB performance, consistent with findings in US and Spanish populations.
- Residence scale demonstrated a significant impact on neuropsychological performance, necessitating its consideration in T-score standardization.
- Minor practice effects and good test-retest reliability were observed.
Conclusions:
- The MCCB is a suitable measure for evaluating cognitive function in schizophrenia research and clinical practice in China.
- Normative data accounting for age, gender, education, and residence scale are essential for accurate MCCB interpretation in the Chinese population.
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