Kaur Amandeep, Molina Kristine M, Jackson Benita, Islam Nadia, Kanaya Alka, Hundle Anneeth Kaur, Mahalingam Ramaswami
University of California, Irvine, CA, USA.
Smith College, Northampton, MA, USA.
J Racial Ethn Health Disparities. 2025 Mar 24. doi: 10.1007/s40615-025-02380-2.
South Asians are a fast-growing, heterogeneous ethnic group in the United States. However, they remain understudied in health equity research despite experiencing a high burden of cardiovascular disease. Biased assumptions, such as the model minority myth, obscure their unique experiences of discrimination-a known contributor to cardiovascular disease-related health inequities. The form and pattern of everyday discrimination among South Asians has been largely unexamined. We addressed this gap by examining the dimensionality of the everyday discrimination scale (EDS) and its potential predictors among South Asians. Data are from the Mediators of Atherosclerosis in South Asians Living in America (MASALA; 2010-2018), a cross-sectional community sample (N = 1164, 52% male, M = 56.73, SD = 9.41). Structural equation modeling (SEM) analysis was used to conduct confirmatory factor analyses to estimate a measurement model for the latent variable of everyday discrimination and a structural model to examine associations between hypothesized predictors and the latent everyday discrimination variable. Confirmatory factor analyses revealed that a six-item, unidimensional version of the EDS fit the data best. SEM analyses showed that everyday discrimination was socially patterned across individual-, health-, community-, and cultural characteristics. Findings highlight the importance of considering how social positionalities and context may shape exposure to everyday discrimination. Importantly, our results have implications for identifying South Asian individuals at an increased risk of experiencing everyday discrimination and its associated health inequities, including cardiovascular disease-related outcomes.
南亚裔是美国一个快速增长的、多样化的种族群体。然而，尽管他们承受着心血管疾病的沉重负担，但在健康公平研究中仍然未得到充分研究。诸如模范少数族裔神话等偏见性假设，掩盖了他们独特的歧视经历，而歧视是导致心血管疾病相关健康不平等的一个已知因素。南亚裔日常歧视的形式和模式在很大程度上尚未得到研究。我们通过研究日常歧视量表（EDS）的维度及其在南亚裔中的潜在预测因素来填补这一空白。数据来自生活在美国的南亚裔动脉粥样硬化中介因素研究（MASALA；2010 - 2018），这是一个横断面社区样本（N = 1164，52%为男性，M = 56.73，SD = 9.41）。结构方程模型（SEM）分析用于进行验证性因素分析，以估计日常歧视潜在变量的测量模型，并建立一个结构模型来检验假设的预测因素与潜在日常歧视变量之间的关联。验证性因素分析表明，一个六项的、单维度版本的EDS最符合数据。SEM分析表明，日常歧视在个人、健康、社区和文化特征方面存在社会模式。研究结果突出了考虑社会地位和背景如何可能影响日常歧视暴露的重要性。重要的是，我们的结果对于识别面临日常歧视及其相关健康不平等（包括心血管疾病相关结果）风险增加的南亚裔个体具有启示意义。
