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首页> 外文期刊>Alcoholism: Clinical and experimental research >Multidimensionality of the Alcohol Withdrawal Symptom Checklist: a factor analysis of the Alcohol Withdrawal Symptom Checklist and CIWA-Ar.
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Multidimensionality of the Alcohol Withdrawal Symptom Checklist: a factor analysis of the Alcohol Withdrawal Symptom Checklist and CIWA-Ar.

机译:戒酒症状清单的多维性:戒酒症状清单和CIWA-Ar的因素分析。

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BACKGROUND: This study evaluated the factor structure of 2 scales for measuring the severity of the alcohol withdrawal syndrome (AWS): a self-rated scale, the Alcohol Withdrawal Symptoms Checklist (AWSC), and an observer-rated scale, the Clinical Institute Withdrawal Assessment-Alcohol, Revised (CIWA-Ar). METHODS: Alcohol-dependent male inpatients [n=127, age: 43.0+/-9.7 (mean+/-SD) years] were recruited from an inpatient treatment unit. Both measures of AWS were assessed repeatedly during the initial week of sobriety in these patients. An exploratory factor analysis was applied to the data collected on the first study day. RESULTS: Five independent factors accounted for 64% of total variance in the AWSC: autonomic arousal, depression, nausea and vomiting, alcohol craving, and tension/anxiety. Three items (abdominal pain, hallucinations, confusion) could not be included in the analysis due to insufficient variance. Three dimensions identified for the CIWA-Ar (autonomic arousal, nausea and vomiting, tension/anxiety) were also captured by the ASWC. Total AWSC scores correlated well with total CIWA-Ar scores (r=0.72), supporting validity of the AWSC. Lower correlations between total CIWA-Ar and the 5 factors (r=0.32-0.52) suggested that the CIWA-Ar and AWSC factors had discriminative value. CONCLUSIONS: Self-rated measures of AWS could play an important role in complementing observer-rated measures in clinical and research settings. In this sample, the AWSC appeared to identify multiple dimensions of AWS with face validity for clinical relevance.
机译:背景:这项研究评估了两种用于衡量酒精戒断综合征(AWS)严重程度的量表的因素结构:自我评定量表,戒酒症状清单(AWSC)和观察者评定量表,临床戒断量。评估酒精,修订版(CIWA-Ar)。方法:从住院治疗单位招募酒精依赖的男性住院患者[n = 127,年龄:43.0 +/- 9.7(平均+/- SD)岁]。在这些患者清醒的最初一周内,对AWS的两种测量进行了反复评估。对第一个研究日收集的数据进行了探索性因素分析。结果:五个独立因素占AWSC总变异的64%:自主唤醒,抑郁,恶心和呕吐,嗜酒和紧张/焦虑。由于差异不足,无法将三项内容(腹部疼痛,幻觉,意识混乱)包括在分析中。 ASWC还捕获了CIWA-Ar的三个维度(自主唤醒,恶心和呕吐,紧张/焦虑)。 AWSC的总得分与CIWA-Ar的总得分有很好的相关性(r = 0.72),支持AWSC的有效性。总CIWA-Ar与5个因子之间的相关性较低(r = 0.32-0.52),表明CIWA-Ar和AWSC因子具有判别价值。结论:AWS的自我评估措施可能在临床和研究环境中补充观察者评估措施中发挥重要作用。在该样本中,AWSC似乎可以识别具有面部有效性的AWS的多个维度,以用于临床相关性。

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