Frankeberger Jessica, Coulter Robert W S, Mair Christina
Department of Behavioral and Community Health Sciences, University of Pittsburgh School of Public Health, 130 De Soto Street, Pittsburgh, PA 15261, USA.
Center for Social Dynamics and Community Health, University of Pittsburgh School of Public Health, 130 De Soto Street, Pittsburgh, PA 15261, USA.
J Subst Use. 2024;29(5):753-758. doi: 10.1080/14659891.2023.2203233. Epub 2023 Apr 20.
Research on alcohol-related problems often examines individual problem types in isolation or uses scales that provide a single cumulative severity score for alcohol-related harms. This study aims to assess the patterns of seventeen distinct alcohol-related problems and how they co-occur.
The East Bay Neighborhood Study surveyed a community sample of 864 adults who drank in the past year in Alameda County, California. Participants reported if they experienced each of seventeen alcohol-related problems in the last year. Latent class analysis assessed subgroups of problems. Logistic regression models examined associations between class membership, sociodemographics, and alcohol use.
A two-class model best fit the data. The (18% of respondents) was characterized by experiencing problems of all types and almost all experiences of legal, violence, and risky sex-related problems. The (82%) was characterized by a low prevalence of all problem types, with only a small proportion experiencing hangovers. In adjusted models, only older age (AOR=0.90, 95% CI=0.88-0.92) had lower odds of multiple problems class membership.
Numerous alcohol-related problems co-occurred within a small subgroup of people who drank in the last year, while the majority experienced few problems. Results suggest that focusing on singular alcohol-related problems may overlook patterns of concurrent problems in high-risk groups.
关于酒精相关问题的研究通常孤立地考察个体问题类型,或使用为酒精相关危害提供单一累积严重程度评分的量表。本研究旨在评估十七种不同酒精相关问题的模式以及它们如何同时出现。
东湾邻里研究对加利福尼亚州阿拉米达县过去一年饮酒的864名成年人的社区样本进行了调查。参与者报告了他们在过去一年中是否经历了十七种与酒精相关的问题中的每一种。潜在类别分析评估问题的亚组。逻辑回归模型检验了类别归属、社会人口统计学和酒精使用之间的关联。
一个两类模型最适合数据。第一类(18%的受访者)的特征是经历了所有类型的问题,以及几乎所有与法律、暴力和危险性行为相关的问题。第二类(82%)的特征是所有问题类型的患病率都很低,只有一小部分人经历宿醉。在调整模型中,只有年龄较大(优势比=0.90,95%置信区间=0.88-0.92)成为多重问题类别的可能性较低。
在去年饮酒的一小部分人群中,许多与酒精相关的问题同时出现,而大多数人经历的问题较少。结果表明,关注单一的酒精相关问题可能会忽视高危人群中并发问题的模式。