Doctoral School of Psychology, ELTE Eötvös Loránd University, Budapest, Hungary,
Institute of Psychology, ELTE Eötvös Loránd University, Budapest, Hungary,
Eur Addict Res. 2019;25(6):293-302. doi: 10.1159/000501516. Epub 2019 Aug 6.
Different classification models have been proposed to explain the heterogeneity of alcohol-related problems in general populations. Such models suggest quantitatively or qualitatively different symptom endorsement characteristics between subgroups of alcohol drinkers.
The present study aimed to identify homogenous subgroups of drinkers in a general population sample in addition to examining the relationship between the subgroups and psychopathological symptoms.
Data of past-year alcohol users (n = 1,520) were analyzed from the nationally representative sample of the National Survey on Addiction Problems in Hungary 2015. Latent class analysis (LCA) was conducted to identify subgroups of drinkers based on the dichotomous indicator items of the Alcohol Use Disorders Identification Test questionnaire. Multinomial logistic regression and multiple comparisons were performed to explore the relationship between latent classes and socio-demographical variables and psychopathological symptoms.
LCA suggested a 3-class model: "Light alcohol drinkers" (71.6%), "Alcohol drinkers with low risk of dependence" (19.3%), and "Alcohol drinkers with severe dependence symptoms" (9.1%). More severe subgroups showed significantly higher level of anxiety, depression, hostility, obsessive-compulsivity, interpersonal sensitivity, and psychiatric or alcohol use disorder-related treatment involvement. Male gender, younger age, lower level of educational achievement, and earlier onset of the first alcoholic drink were associated with membership of more severe subgroups.
The present results indicated that severity-based subgroups of drinkers can be discriminated. Approximately 9% of the alcohol users showed severe symptoms of alcohol dependence. The present data also supported the association between more severe forms of alcohol consumption, and internalizing and externalizing characteristics. Although the 2 at-risk classes of alcohol drinkers did not differ in terms of alcohol consumption-related measures, they were distinguished by the level of harmful consequences due to alcohol use, psychopathological symptoms and psychiatric treatment history.
不同的分类模型被提出以解释一般人群中与酒精相关问题的异质性。这些模型表明,饮酒者亚组之间在症状表现上存在数量或质量上的不同。
本研究旨在除了检查亚组与精神病理症状之间的关系外,还在一般人群样本中识别同质的饮酒者亚组。
对来自 2015 年匈牙利全国成瘾问题调查的具有代表性的全国样本中过去一年的酒精使用者(n=1520)的数据进行了分析。基于酒精使用障碍识别测试问卷的二分指示项,采用潜在类别分析(LCA)来识别饮酒者亚组。采用多项逻辑回归和多重比较来探讨潜在类别与社会人口统计学变量和精神病理症状之间的关系。
LCA 提出了一个 3 类模型:“轻度饮酒者”(71.6%)、“酒精依赖风险低的饮酒者”(19.3%)和“严重依赖酒精症状的饮酒者”(9.1%)。更严重的亚组表现出明显更高水平的焦虑、抑郁、敌意、强迫观念、人际敏感和精神病学或酒精使用障碍相关的治疗参与度。男性、年龄较小、教育程度较低和首次饮酒年龄较早与更严重亚组的成员身份相关。
本研究结果表明,可以区分基于严重程度的饮酒者亚组。大约 9%的酒精使用者表现出严重的酒精依赖症状。本研究还支持更严重的饮酒形式与内化和外化特征之间的关联。尽管两个有风险的饮酒者亚组在与酒精相关的测量方面没有差异,但它们因酒精使用导致的有害后果、精神病理症状和精神科治疗史而有所不同。