Department of Social Work, Ohio University, Athens, OH, United States.
Alcohol. 2022 Aug;102:43-49. doi: 10.1016/j.alcohol.2022.05.002. Epub 2022 May 28.
The relationship between social disadvantage and alcohol use disorder (AUD) among Asian American and Pacific Islander (AAPI) people is poorly understood. The study explores the patterns of social disadvantage and their associations with the AUD criteria in this population.
This study used data from the National Epidemiologic Survey of Alcohol and Related Conditions-III on AAPI people's (N = 1801) social disadvantage, adverse childhood experiences (ACEs), racial discrimination, and AUD. A three-step latent class analysis (LCA) using the Bolck, Croon, and Hagenaars (BCH) method was conducted to examine the heterogeneity within response patterns to items that describe social disadvantage among AAPI people. In addition, the relationship between classes and the AUD criteria was examined.
Three classes were identified: Class 1, labeled "High Adversity" (8.2%); Class 2, labeled "High Discrimination" (9.7%); and Class 3, labeled "Low Disadvantage" (82.2%). Results from the analyses of a multiple regression model suggest that Class 1 (High Adversity; B = 1.049, SE = 0.27, p < 0.001) is more susceptible to AUD compared to Class 3 (Low Disadvantage).
The average number of AUD criteria among AAPI people who had experienced high levels of adversity was 2.2. Latent class models demonstrate how social disadvantage is distributed across classes and illustrate its associations with the AUD criteria. Tailored interventions for AAPI people are required. Further studies are also necessary to more effectively understand social disadvantage in AAPI populations.
亚裔美国人和太平洋岛民(AAPI)人群中社会劣势与酒精使用障碍(AUD)之间的关系尚未得到充分了解。本研究探讨了该人群中社会劣势的模式及其与 AUD 标准的关联。
本研究使用了来自亚裔美国人酒精和相关条件 III 期全国流行病学调查(N=1801)的数据,研究了 AAPI 人群的社会劣势、不良童年经历(ACEs)、种族歧视和 AUD。采用 Bolck、Croon 和 Hagenaars(BCH)方法的三步潜在类别分析(LCA),用于检验描述 AAPI 人群社会劣势的项目的反应模式内的异质性。此外,还检验了类别的 AUD 标准之间的关系。
确定了三个类别:第 1 类,标记为“高逆境”(8.2%);第 2 类,标记为“高歧视”(9.7%);第 3 类,标记为“低劣势”(82.2%)。多回归模型分析结果表明,与第 3 类(低劣势)相比,第 1 类(高逆境;B=1.049,SE=0.27,p<0.001)更容易患 AUD。
经历过高水平逆境的 AAPI 人群中 AUD 标准的平均数量为 2.2。潜在类别模型展示了社会劣势在各个类别中的分布情况,并说明了其与 AUD 标准的关联。需要为 AAPI 人群提供有针对性的干预措施。还需要进一步的研究,以更有效地了解 AAPI 人群中的社会劣势。