2021
DOI: 10.1186/s12940-021-00801-3
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Pervasive structural racism in environmental epidemiology

Abstract: Background Epistemological biases in environmental epidemiology prevent the full understanding of how racism’s societal impacts directly influence health outcomes. With the ability to focus on “place” and the totality of environmental exposures, environmental epidemiologists have an important opportunity to advance the field by proactively investigating the structural racist forces that drive disparities in health. Objective This commentary illustr… Show more

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Cited by 30 publications
(25 citation statements)
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References 133 publications
(143 reference statements)
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“…It is beyond the scope of this paper to review the many commonly-available SEP indicators (e.g., income, education, wealth), and their relative strengths and weaknesses (See Hajat et al, EHP, 2021: Table 1) [ 17 ]. We do, however, wish to encourage environmental epidemiologists to carefully consider, when selecting SEP indicator(s): (1) The hypothesized mechanisms to health or susceptibility; (2) Limitations and biases inherent to each indicator (e.g., educational norms have varied over time, and thus variation in the metric varies by cohort age and racial discrimination in data collection can further bias data) [ 18 ]; and (3) Scale and resolution, especially as compared to resolution in environmental exposure metrics.…”
Section: First What Is Socioeconomic Position (Sep)?mentioning
confidence: 99%
“…It is beyond the scope of this paper to review the many commonly-available SEP indicators (e.g., income, education, wealth), and their relative strengths and weaknesses (See Hajat et al, EHP, 2021: Table 1) [ 17 ]. We do, however, wish to encourage environmental epidemiologists to carefully consider, when selecting SEP indicator(s): (1) The hypothesized mechanisms to health or susceptibility; (2) Limitations and biases inherent to each indicator (e.g., educational norms have varied over time, and thus variation in the metric varies by cohort age and racial discrimination in data collection can further bias data) [ 18 ]; and (3) Scale and resolution, especially as compared to resolution in environmental exposure metrics.…”
Section: First What Is Socioeconomic Position (Sep)?mentioning
confidence: 99%
“…However, evidence suggests that social inequities, such as structural racism and mistrust, including a history of segregation and mistreatment within the healthcare system, could impact Black men’s access to screening and treatment for prostate cancer, as well as their participation in clinical research, ultimately influencing prostate cancer outcomes and survival ( 21 23 ). Further evidence shows that structural racism is one of the major barriers to health equity ( 24 , 25 ). In our analysis, race designations are evaluated as social rather than biological constructs.…”
Section: Discussionmentioning
confidence: 99%
“…The rapid analytic approach coupled with the use of CFIR was largely a deductive process; however, the open-ended nature of our focus groups allowed the team to uncover more "hidden phenomena" that one may associate with traditional, inductive, qualitative methods. 25 Our entire research team contributed to the development of our five-step data-analysis process. The multistep process used a systematic, team-based approach that resulted in the identification of commonly occurring themes.…”
Section: Methodsmentioning
confidence: 99%