Bagi Otilia, Farkas Fanni Fruzsina, Gajdics Janka, Pribek Ildiko Katalin, Lazar Bence Andras
Addiktológiai Kutatócsoport, Pszichiátriai Klinika, Szent-Györgyi Albert Orvostudományi Kar,Szegedi Tudományegyetem, Szeged.
Neuropsychopharmacol Hung. 2025 Jun;27(2):73-87.
In the clinical assessment of alcohol use disorder (AUD), measuring tools are essential to help recognizing the condition, determining the severity of the disorder, and assessing craving and relapse after identifying potential complications. Currently, there are no measurement tools available in Hungary that can quantify the severity of alcohol dependence, the extent of alcohol craving, and the risk of relapse, or help in the early detection of complicated alcohol withdrawal syndrome (c-AWS). There for the aim of the present study was to evaluate the psychometric indicators of the Hungarian versions of the Severity of Alcohol Dependence Questionnaire (SAD-Q), Penn Alcohol Craving Scale (PACS), Multidimensional Alcohol Craving Scale (MACS), Alcohol Relapse Risk Scale (ARRS), and the Prediction of Alcohol Withdrawal Severity Scale (PAWSS).
The present study was conducted among patients (n = 44) admitted to the Department of Psychiatry, University of Szeged with a diagnosis of alcohol dependence, alcohol withdrawal syndrome, or alcohol withdrawal syndrome with delirium. In addition to the aforementioned questionnaires, the Alcohol Use Disorders Identification Test (AUDIT) and Visual Analogue Scale (VAS) were administered. Internal consistency coefficients (Cronbach's alpha, item-total correlation) and convergent validity indices (Spearman correlations) were calculated, Mann-Whitney test was used to assess differences in the risk of relapse for the ARRS total score, and the independent-sample t-test was used to explore differences in complicated and non- complicated withdrawal for the PAWSS total score. In addition, binomial logistic regression was performed for both scales to analyze whether total scores were good predictors of c-AWS and relapse.
Cronbach's alpha values ranged from 0.875 to 0.948, and the construct validity indices (Spearman correlations) ranged from 0.537 to 0.760. For the ARRS, significantly higher total scores were found for those who relapsed within 3 months, and for the PAWSS, significantly higher total scores were found for patients experiencing complicated withdrawal. The ARRS and PAWSS total scores are good predictors of relapse and c-AWS.
Based on our results, the questionnaires listed are reliable and valid measuring instruments, and their use might facilitate a more modern investigation and treatment of AUD.
在酒精使用障碍（AUD）的临床评估中，测量工具对于帮助识别病情、确定障碍的严重程度、评估渴望程度以及在识别潜在并发症后评估复发风险至关重要。目前，匈牙利没有可用于量化酒精依赖严重程度、酒精渴望程度和复发风险，或有助于早期发现复杂酒精戒断综合征（c-AWS）的测量工具。因此，本研究的目的是评估匈牙利版酒精依赖严重程度问卷（SAD-Q）、宾夕法尼亚酒精渴望量表（PACS）、多维酒精渴望量表（MACS）、酒精复发风险量表（ARRS）和酒精戒断严重程度预测量表（PAWSS）的心理测量指标。
本研究在塞格德大学精神病学系收治的诊断为酒精依赖、酒精戒断综合征或伴有谵妄的酒精戒断综合征的患者（n = 44）中进行。除了上述问卷外，还使用了酒精使用障碍识别测试（AUDIT）和视觉模拟量表（VAS）。计算内部一致性系数（克朗巴哈α系数、项目与总分相关性）和收敛效度指数（斯皮尔曼相关性），使用曼-惠特尼检验评估ARRS总分的复发风险差异，使用独立样本t检验探讨PAWSS总分在复杂和非复杂戒断方面差异。此外，对两个量表进行二项逻辑回归分析，以分析总分是否是c-AWS和复发的良好预测指标。
克朗巴哈α系数值在0.875至0.948之间，结构效度指数（斯皮尔曼相关性）在0.537至0.760之间。对于ARRS，在3个月内复发的患者总分显著更高，对于PAWSS，经历复杂戒断的患者总分显著更高。ARRS和PAWSS总分是复发和c-AWS的良好预测指标。
根据我们的结果，列出问卷是可靠且有效的测量工具，使用它们可能有助于对AUD进行更现代的调查和治疗。
