Determination of the main risk factors for benzodiazepine dependence using a multivariate and multidimensional approach

Determination of the main risk factors for benzodiazepine dependence using a multivariate and multidimensional approach
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DOI:
10.1016/j.comppsych.2003.12.007
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发表时间:
2004-03-01
影响因子:
7.3
通讯作者:
Breteler, MHM
Breteler, MHM
中科院分区:
医学2区
文献类型:
--
作者:
Kan, CC;Hilberink, SR;Breteler, MHM

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本研究的目的是确定苯二氮卓类 (BZD) 依赖的危险因素,例如社会人口统计学变量、BZD 使用特征和精神参数,迄今为止发现这些因素与 BZD 依赖指标(例如慢性 BZD 使用和 BZD 戒断症状)不一致。 599 名使用 BZD 的门诊患者接受了苯二氮卓依赖性自我报告问卷 (Bendep-SRQ)、神经精神病学临床评估表 (SCAN) 和症状检查表 90 (SCL-90)。使用 BZD 依赖诊断和严重程度作为因变量进行回归分析。 BZD 依赖性诊断只能通过自助患者和长 BZD 消除半衰期来预测(仅适用于 DSM-III-R)。根据 ICD-10、DSM-III-R 量表和 Bendep-SRQ Rasch 量表测量,BZD 依赖严重程度的主要预测因素按降序排列:(1)是自助患者; (2) BZD剂量较高、BZD使用时间较长、年龄较小; (3) 非本土文化起源、教育水平较低、因酒精和/或药物依赖而接受门诊治疗,以及 BZD 剂量与 BZD 使用持续时间的相互作用。我们的结论是,有限数量的可识别风险因素似乎可以预测 BZD 依赖的严重程度。建议额外使用特定的 BZD 依赖工具来确认可疑的 BZD 依赖并指导进一步的临床决策。 (C) 2004 Elsevier Inc. 保留所有权利。
The aim of this study was to identify risk factors for benzodiazepine (BZD) dependence, such as sociodemographic variables, characteristics of BZD use, and psychiatric parameters, which to date have been found to relate inconsistently to indicators of BZD dependence such as chronic BZD use and BZD withdrawal symptoms. The Benzodiazepine Dependence Self-Report Questionnaire (Bendep-SRQ), Schedules for Clinical Assessment in Neuropsychiatry (SCAN), and Symptom Checklist-90 (SCL-90) were administered to 599 outpatients using BZDs. Regression analyses were conducted using BZD dependence diagnoses and severity scales as dependent variables. BZD dependence diagnoses were only predicted by being a self-help patient and long BZD elimination half-life (for only the DSM-III-R). The main predictors of BZD dependence severity, as measured by the ICD-10, DSM-III-R scales, and Bendep-SRQ Rasch scales, were in decreasing order: (1) being a self-help patient; (2) higher BZD dose, longer duration of BZD use, younger age; and (3) non-native cultural origin, lower level of education, being in outpatient treatment for alcohol and/or drug dependence, and the interaction of BZD dose with duration of BZD use. We conclude that a limited number of recognizable risk factors appear to predict the severity of BZD dependence. Additional administration of a specific BZD dependence instrument is recommended to confirm suspected BZD dependence and guide further clinical decision-making. (C) 2004 Elsevier Inc. All rights reserved.