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J Racial Ethn Health Disparities ; 10(3): 993-1005, 2023 06.
Article in English | MEDLINE | ID: mdl-35320509

ABSTRACT

We sought to understand how women in Michigan communities outside of Flint experienced the Flint water crisis, an avoidable public health disaster widely attributed to structural racism. Using survey data from 950 Michigan women aged 18-45 from communities outside of Flint, we examined racial and ethnic differences in personal connections to Flint, perceived knowledge about the water crisis, and beliefs about the role of anti-Black racism in the water crisis factors that could contribute to poor health via increased psychological stress. We found that White (OR = 0.32; 95% CI: 0.22, 0.46) and Hispanic (OR = 0.21; 95% CI: 0.09, 0.49) women had lower odds than Black women of having family or friends who lived in Flint during the water crisis. Compared to Black women, White women were less likely to be moderately or very knowledgeable about the water crisis (OR = 0.58; 95% CI: 0.41, 0.80). White women (OR = 0.26; 95% CI: 0.18, 0.37), Hispanic women (OR = 0.38; 95% CI: 0.21, 0.68), and women of other races (OR = 0.28; 95% CI: 0.15, 0.54) were less likely than Black women to agree that the water crisis happened because government officials wanted to hurt Flint residents. Among those who agreed, White women (OR = 0.47; 95% CI: 0.30, 0.74) and women of other races (OR = 0.33; 95% CI: 0.12, 0.90) were less likely than Black women to agree that government officials wanted to hurt people in Flint because most residents are Black. We conclude that the Flint water crisis was a racialized stressor, with potential implications for the health of reproductive-age Black women.


Subject(s)
Black or African American , Systemic Racism , Water Pollution, Chemical , Water , Female , Humans , Ethnicity , Hispanic or Latino/psychology , Hispanic or Latino/statistics & numerical data , Michigan/epidemiology , Surveys and Questionnaires , Water/chemistry , Black or African American/psychology , White/psychology , Water Pollution, Chemical/analysis , Water Quality , Systemic Racism/ethnology , Systemic Racism/psychology , Systemic Racism/statistics & numerical data
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