Duke Global Health Institute, Duke University, Durham, NC, United States of America.
Duke Emergency Medicine, Duke University Medical Center, Durham, NC, United States of America.
PLoS One. 2023 Nov 8;18(11):e0287835. doi: 10.1371/journal.pone.0287835. eCollection 2023.
Alcohol use disorder is a major cause of morbidity and mortality in low- and middle-income countries. Alcohol screening using a validated tool is a useful way to capture high-risk patients and engage them in early harm reduction interventions. Our objectives were to 1) evaluate the psychometric evidence the Alcohol Use Disorders Identification Test (AUDIT) and its subscales in the general population of Moshi, Tanzania, and 2) evaluate the usefulness of the tool at predicting alcohol-related harms.
Two hundred and fifty-nine adults living in Moshi, Tanzania were included in the study. We used the AUDIT and its subscales to determine the classification of harmful and hazardous drinking. To analyze the internal structure of AUDIT and the model adequacy we used Confirmatory Factor Analysis (CFA). The reliability of AUDIT was analyzed for Cronbach's alpha, Omega 6 and Composite Reliability. The optimal cut off point for the AUDIT was determined by the receiver operating characteristic (ROC) curve, using the Youden approach to maximize sensitivity and specificity.
The median score of the AUDIT was 1 (inter-quartile range: 0-7). The internal structure of the AUDIT showed factor loadings ranging from 0.420 to 0.873. Cronbach's alpha, Omega and Composite Reliability produced values above 0.70. The Average Variance Extracted was 0.530. For the AUDIT, a score of 8 was identified as the ideal cut-off value in our population.
This study validates AUDIT in the general population of Moshi and is one of the only studies in Africa to include measures of the internal structure of the AUDIT and its subscales.
在中低收入国家,酒精使用障碍是发病率和死亡率的主要原因。使用经过验证的工具进行酒精筛查是一种捕获高风险患者并使其参与早期减少伤害干预的有效方法。我们的目标是 1)评估酒精使用障碍识别测试(AUDIT)及其在坦桑尼亚莫希普通人群中的亚量表的心理测量证据,2)评估该工具预测酒精相关危害的有用性。
我们纳入了 259 名居住在坦桑尼亚莫希的成年人。我们使用 AUDIT 及其亚量表来确定有害和危险饮酒的分类。为了分析 AUDIT 的内部结构和模型充分性,我们使用了验证性因素分析(CFA)。我们使用 Cronbach's alpha、Omega 6 和综合可靠性来分析 AUDIT 的可靠性。使用接受者操作特征(ROC)曲线确定 AUDIT 的最佳截止点,采用 Youden 方法最大化灵敏度和特异性。
AUDIT 的中位数得分为 1(四分位距:0-7)。AUDIT 的内部结构显示因子负荷范围为 0.420 至 0.873。Cronbach's alpha、Omega 和综合可靠性产生的数值高于 0.70。平均方差提取量为 0.530。对于 AUDIT,我们确定 8 分为我们人群中的理想截止值。
这项研究在莫希的普通人群中验证了 AUDIT,是非洲仅有的几项包括 AUDIT 及其亚量表内部结构测量的研究之一。