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冰山一角:在健康研究中测量种族歧视

Tip of the iceberg: Measuring racial discrimination in studies of health.

机构信息

Department of Community Health, Tufts University, Medford, Massachusetts, USA.

Department of Sociology, Population Studies Center, & Population Aging Research Center, The University of Pennsylvania, Philadelphia, Pennsylvania, USA.

出版信息

Stress Health. 2021 Dec;37(5):1043-1050. doi: 10.1002/smi.3047. Epub 2021 Mar 25.

Abstract

There is compelling evidence that racial discrimination is a risk factor for illness and disease. But what are health scientists measuring-and what do they think they are measuring-when they include measures of racial discrimination in health research? We synthesize theoretical conceptualizations of racial discrimination in health research and critically assess whether and how these concepts correspond (or not) to widely used measures of racial discrimination. In doing so, we show that while researchers often use terms such as 'self-reported discrimination', 'perceptions of discrimination', and 'exposure to discrimination' interchangeably, these concepts are indeed unique, with each holding a distinct epistemological position and theoretical and methodological capacity to uncover the impact of racial discrimination on health and health disparities. Importantly, we argue that commonly used measures of self-reported or perceived racial discrimination are just the 'tip of the iceberg' in terms of revealing the ways in which discrimination shapes health inequities. Scientists and practitioners must be cognizant of and intentional in their measurement choices and language, as the framing of these processes will inform policy and intervention efforts aimed at eliminating discrimination.

摘要

有确凿的证据表明,种族歧视是疾病的一个风险因素。但是,当健康科学家在健康研究中纳入种族歧视的衡量标准时,他们在衡量什么,他们认为自己在衡量什么?我们综合了健康研究中种族歧视的理论概念,并批判性地评估了这些概念是否以及如何与广泛使用的种族歧视衡量标准相对应(或不对应)。通过这样做,我们表明,尽管研究人员经常交替使用“自我报告的歧视”、“对歧视的看法”和“接触歧视”等术语,但这些概念确实是独特的,每个概念都有独特的认识论立场和理论及方法能力来揭示种族歧视对健康和健康差距的影响。重要的是,我们认为,常用的自我报告或感知到的种族歧视衡量标准只是揭示歧视塑造健康不平等的方式的“冰山一角”。科学家和从业者必须意识到并有意选择他们的衡量标准和语言,因为这些过程的框架将为旨在消除歧视的政策和干预措施提供信息。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8ee2/8449795/af3f44a9d324/nihms-1733159-f0001.jpg

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