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Employment Loss and Food Insecurity - Race and Sex Disparities in the Context of COVID-19.
Coats, Jacquelyn V; Humble, Sarah; Johnson, Kimberly J; Pedamallu, Havisha; Drake, Bettina F; Geng, Elvin; Goss, Charles W; Davis, Kia L.
  • Coats JV; Brown School at Washington University in St. Louis, MSC1196-251-46, 1 Brookings Drive, St. Louis, MO 63130. Email coatsj@wustl.edu.
  • Humble S; Brown School at Washington University, School of Medicine, Department of Surgery, St. Louis, Missouri.
  • Johnson KJ; Brown School at Washington University in St. Louis, St. Louis, Missouri.
  • Pedamallu H; Brown School at Washington University, School of Medicine, Department of Surgery, St. Louis, Missouri.
  • Drake BF; Brown School at Washington University, School of Medicine, Department of Surgery, St. Louis, Missouri.
  • Geng E; Brown School at Washington University, School of Medicine, Division of Infectious Diseases, St. Louis, Missouri.
  • Goss CW; Brown School at Washington University, School of Medicine, Division of Biostatistics, St. Louis, Missouri.
  • Davis KL; Brown School at Washington University, School of Medicine, Department of Surgery, St. Louis, Missouri.
Prev Chronic Dis ; 19: E52, 2022 08 18.
Article in English | MEDLINE | ID: covidwho-1994411
ABSTRACT

INTRODUCTION:

Applying an intersectional framework, we examined sex and racial inequality in COVID-19-related employment loss (ie, job furlough, layoff, and reduced pay) and food insecurity (ie, quality and quantity of food eaten, food worry, and receipt of free meals or groceries) among residents in Saint Louis County, Missouri.

METHODS:

We used cross-sectional data from adults aged 18 or older (N = 2,146), surveyed by using landlines or cellular phones between August 12, 2020, and October 27, 2020. We calculated survey-weighted prevalence of employment loss and food insecurity for each group (Black female, Black male, White female, White male). Odds ratios for each group were estimated by using survey-weighted binary and multinomial logistic regression models.

RESULTS:

Black female residents had higher odds of being laid off, as compared with White male residents (OR = 2.61, 95% CI, 1.24-5.46). Both Black female residents (OR = 4.13, 95% CI, 2.29-7.45) and Black male residents (OR = 2.41, 95% CI, 1.15-5.07) were more likely to receive free groceries, compared with White male residents. Black female (OR = 4.25, 95% CI, 2.28-7.94) and White female residents (OR = 1.93, 95% CI, 1.04-3.60) had higher odds of sometimes worrying about food compared with White male residents. Black women also had higher odds of always or nearly always worrying about food, compared with White men (OR = 2.99, 95% CI, 1.52-5.87).

CONCLUSION:

Black women faced the highest odds of employment loss and food insecurity, highlighting the disproportionate impact of COVID-19 among people with intersectional disadvantages of being both Black and female. Interventions to reduce employment loss and food insecurity can help reduce the disproportionately negative social effects among Black women.
Subject(s)

Full text: Available Collection: International databases Database: MEDLINE Main subject: White People / COVID-19 Type of study: Observational study / Prognostic study / Randomized controlled trials Limits: Adult / Female / Humans / Male Language: English Journal: Prev Chronic Dis Journal subject: Public Health Year: 2022 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Main subject: White People / COVID-19 Type of study: Observational study / Prognostic study / Randomized controlled trials Limits: Adult / Female / Humans / Male Language: English Journal: Prev Chronic Dis Journal subject: Public Health Year: 2022 Document Type: Article