Bowen Elizabeth, LaBarre Charles, Linn Braden, Irish Andrew
University at Buffalo School of Social Work.
Penn State College of Medicine.
Alcohol Treat Q. 2024;42(4):379-392. doi: 10.1080/07347324.2024.2373443. Epub 2024 Jun 29.
NIAAA's 2022 definition of recovery from alcohol use disorder (AUD) includes two core components, remission of DSM-5 AUD criteria and cessation of heavy drinking. This study's purpose was to assess patterns of AUD symptoms and heavy drinking in a heterogeneous national sample, in order to clarify the utility of the definition. Participants who self-reported having resolved an alcohol problem for at least six months were recruited through Amazon Mechanical Turk (=386) and surveyed about their problem severity, current drinking, and AUD symptomology. We used latent class analysis to discern meaningful clusters of AUD symptoms and heavy drinking, as well as factors associated with class membership. A two-class model was the best fit for the data. The first class, which we termed Less Symptomatic, included 83.4% of the sample. Individuals in this class were unlikely to endorse of any of the 10 AUD criteria (<2.5% of the time) and 24.3% reported heavy drinking. In the second class (16.6% of the sample), termed Symptomatic, 45% of respondents endorsed at least one AUD criterion and 88.2% reported heavy drinking. These findings suggest that some individuals in recovery may continue to drink heavily with minimal problems, while others continue to experience AUD symptoms.
美国国家酒精滥用与酒精中毒研究所(NIAAA)2022年对酒精使用障碍(AUD)康复的定义包括两个核心要素,即符合《精神疾病诊断与统计手册》第5版(DSM-5)中AUD的诊断标准以及停止大量饮酒。本研究的目的是评估一个异质性全国样本中的AUD症状模式和大量饮酒情况,以阐明该定义的实用性。通过亚马逊土耳其机器人平台招募了自我报告已解决酒精问题至少六个月的参与者(n = 386),并对他们的问题严重程度、当前饮酒情况和AUD症状进行了调查。我们使用潜在类别分析来识别AUD症状和大量饮酒的有意义聚类,以及与类别归属相关的因素。两类模型最适合该数据。第一类我们称为症状较轻类,包括83.4%的样本。该类个体不太可能认可10条AUD标准中的任何一条(<2.5%的时间),24.3%的人报告有大量饮酒。在第二类(占样本的16.6%),即症状明显类中,45%的受访者认可至少一条AUD标准,88.2%的人报告有大量饮酒。这些发现表明,一些康复中的个体可能继续大量饮酒但问题极少,而另一些人则继续经历AUD症状。