Global Health Research Center, Duke Kunshan University, Kunshan, Jiangsu, China.
Duke Global Health Institute, Duke University, Durham, North Carolina.
J Stud Alcohol Drugs. 2020 Sep;81(5):614-623. doi: 10.15288/jsad.2020.81.614.
The Kilimanjaro region has one of the highest rates of reported alcohol use per capita in Tanzania. Alcohol-related risky behaviors pose substantial threats to the health and well-being of alcohol users and the people around them. This study seeks to understand how alcohol-related risky behaviors co-occur with other risky behaviors.
Latent class analysis (LCA) was applied to examine alcohol-related risky behaviors. The optimal number of latent classes was confirmed by using model fit indices. Negative binomial models were used to test latent classes and their association with harmful and hazardous drinking and perceived alcohol stigma. With the model defined, we explored each class's drinking patterns and risky behavior patterns.
A total of 622 (60% male) of 841 participants were included in these analyses because they drank alcohol at least once in their lifetime. Three classes of risky behavior patterns were identified: Class 1, "Limited risk behaviors" (59.7%); Class 2, "Primarily foolish behaviors" (25.6%); and Class 3, "Pervasive risk behaviors" (13.1%). Class 3 had the most alcohol use quantity and frequency. No association between classes and alcohol stigma was found. Compared with males, females are less likely to be classified in Class 2 and 3.
Three different classes of risky behaviors became apparent and were distinguished by gender, age, and personal alcohol use. Our findings suggest a potential role for personalized interventions based on latent classes specifically to reduce risk behaviors.
坦桑尼亚的乞力马扎罗地区是人均报告饮酒量最高的地区之一。与酒精相关的危险行为对酒精使用者及其周围人群的健康和福祉构成了巨大威胁。本研究旨在了解与酒精相关的危险行为与其他危险行为如何共同发生。
应用潜在类别分析（LCA）来研究与酒精相关的危险行为。使用模型拟合指数来确认潜在类别数的最佳数量。使用负二项式模型来测试潜在类别及其与有害和危险饮酒以及感知的酒精污名之间的关联。在确定模型后，我们探索了每个类别的饮酒模式和危险行为模式。
共有 841 名参与者中的 622 名（60%为男性）被纳入这些分析，因为他们一生中至少有一次饮酒。确定了三种危险行为模式类别：类别 1，“有限风险行为”（59.7%）；类别 2，“主要愚蠢行为”（25.6%）；类别 3，“普遍危险行为”（13.1%）。类别 3的酒精使用量和频率最高。未发现类别与酒精污名之间存在关联。与男性相比，女性更不可能被归类为类别 2 和 3。
三种不同的危险行为类别变得明显，且通过性别、年龄和个人饮酒量来区分。我们的研究结果表明，基于潜在类别，针对特定个体的干预措施可能在减少危险行为方面发挥作用。
