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种族自我分类的语境依赖性:来自高度混合和不平等的中等收入国家的结果。

Context-dependence of race self-classification: Results from a highly mixed and unequal middle-income country.

机构信息

Department of Epidemiology and Quantitative Methods, National School of Public Health, Oswaldo Cruz Foundation, Rio de Janeiro, RJ, Brazil.

Laboratory of Genetics and Molecular Cardiology, Heart Institute (InCor), University of São Paulo, São Paulo, SP, Brazil.

出版信息

PLoS One. 2019 May 16;14(5):e0216653. doi: 10.1371/journal.pone.0216653. eCollection 2019.

Abstract

Ethnic-racial classification criteria are widely recognized to vary according to historical, cultural and political contexts. In Brazil, the strong influence of individual socio-economic factors on race/colour self-classification is well known. With the expansion of genomic technologies, the use of genomic ancestry has been suggested as a substitute for classification procedures such as self-declaring race, as if they represented the same concept. We investigated the association between genomic ancestry, the racial composition of census tracts and individual socioeconomic factors and self-declared race/colour in a cohort of 15,105 Brazilians. Results show that the probability of self-declaring as black or brown increases according to the proportion of African ancestry and varies widely among cities. In Porto Alegre, where most of the population is white, with every 10% increase in the proportion of African ancestry, the odds of self-declaring as black increased 14 times (95%CI 6.08-32.81). In Salvador, where most of the population is black or brown, that increase was of 3.98 times (95%CI 2.96-5.35). The racial composition of the area of residence was also associated with the probability of self-declaring as black or brown. Every 10% increase in the proportion of black and brown inhabitants in the residential census tract increased the odds of self-declaring as black by 1.33 times (95%CI 1.24-1.42). Ancestry alone does not explain self-declared race/colour. An emphasis on multiple situational contexts (both individual and collective) provides a more comprehensive framework for the study of the predictors of self-declared race/colour, a highly relevant construct in many different scenarios, such as public policy, sociology and medicine.

摘要

种族分类标准被广泛认为因历史、文化和政治背景而异。在巴西,个人社会经济因素对种族/肤色自我分类的强烈影响是众所周知的。随着基因组技术的扩展,有人建议使用基因组祖先来替代自我申报的种族等分类程序,好像它们代表着相同的概念。我们调查了基因组祖先、普查区的种族构成以及个体社会经济因素与 15105 名巴西人自我申报的种族/肤色之间的关联。结果表明,自我申报为黑人和棕色人种的概率随着非裔祖先比例的增加而增加,并且在不同城市之间差异很大。在人口主要为白人的阿雷格里港,非裔祖先比例每增加 10%,自我申报为黑人的几率增加 14 倍(95%CI 6.08-32.81)。在人口主要为黑人和棕色人种的萨尔瓦多,这一增幅为 3.98 倍(95%CI 2.96-5.35)。居住地区的种族构成也与自我申报为黑人和棕色人种的概率有关。居住普查区的黑人和棕色人种比例每增加 10%,自我申报为黑人的几率就会增加 1.33 倍(95%CI 1.24-1.42)。仅祖先并不能解释自我申报的种族/肤色。强调多种情境背景(个人和集体)为研究自我申报的种族/肤色的预测因素提供了一个更全面的框架,这在许多不同的场景中都是一个非常相关的概念,如公共政策、社会学和医学。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/13f1/6522012/fc982320d3a8/pone.0216653.g001.jpg

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