Literature DB >> 24689489

Psychometric properties of the Chinese version of the Michigan Alcoholism Screening Test (MAST-C) for patients with alcoholism.

Yu-Jung Hsueh1, Hsin Chu, Chang-Chih Huang, Keng-Liang Ou, Chiung-Hua Chen, Kuei-Ru Chou.   

Abstract

PURPOSE: The aim of this study was to examine the psychometric properties of the Chinese version of the Michigan Alcoholism Screening Test (MAST-C). DESIGN &
METHODS: The sensitivity, specificity, and positive and negative predictive values for the MAST-C were examined in this study.
FINDINGS: The MAST-C had an internal consistency of 0.83 and a test-retest reliability of 0.89. It had a good content validity index of 0.92. Factor analysis identified four factors and the optimal cutoff point for the MAST-C was a score of 6/7, which yielded a sensitivity of 0.92, a specificity of 0.83, a positive predictive value of 0.92, and a negative predictive value of 0.83. PRACTICE IMPLICATIONS: The MAST-C provides a fast, accurate, and sensitive method for clinically diagnosing alcoholism and clinical management.
© 2013 Wiley Periodicals, Inc.

Entities:  

Keywords:  Alcoholism; reliability; validity

Mesh:

Year:  2013        PMID: 24689489     DOI: 10.1111/ppc.12022

Source DB:  PubMed          Journal:  Perspect Psychiatr Care        ISSN: 0031-5990            Impact factor:   2.186


  3 in total

1.  The prevalence of alcohol dependence and its association with hypertension: a population-based cross-sectional study4 in Xuzhou city, China.

Authors:  Ailing Ji; Peian Lou; Zongmei Dong; Chunrong Xu; Pan Zhang; Guiqiu Chang; Ting Li
Journal:  BMC Public Health       Date:  2018-03-16       Impact factor: 3.295

2.  Clinical and radiological features of Marchiafava-Bignami disease.

Authors:  Xiaoyu Dong; Chaobo Bai; Jianfei Nao
Journal:  Medicine (Baltimore)       Date:  2018-02       Impact factor: 1.889

3.  Developing and Validating an Item Bank for Alcohol Use Disorder Screening in the Chinese Population by Using the Computerized Adaptive Testing.

Authors:  Jie Lian; Yan Cai; Dongbo Tu; Chongqin Xi
Journal:  Front Psychol       Date:  2020-07-08
  3 in total

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