Evidence map›Paper›PMID 35980832›Full record

ArticlePreventing chronic disease2022

Employment Loss and Food Insecurity - Race and Sex Disparities in the Context of COVID-19.

Jacquelyn V Coats, Sarah Humble, Kimberly J Johnson, Havisha Pedamallu, Bettina F Drake, Elvin Geng, Charles W Goss, Kia L Davis

Open access · diamondAbstract read
In one paragraph

Article in Preventing chronic disease, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
3.6field-weighted citation impact, top 7% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 14 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 1 institution in 1 country.

Jacquelyn V CoatsBrown School at Washington University in St. Louis, MSC1196-251-46, 1 Brookings Drive, St. Louis, MO 63130. Email coatsj@wustl.edu.
Sarah HumbleBrown School at Washington University, School of Medicine, Department of Surgery, St. Louis, Missouri.
Kimberly J JohnsonBrown School at Washington University in St. Louis, St. Louis, Missouri.
Havisha PedamalluBrown School at Washington University, School of Medicine, Department of Surgery, St. Louis, Missouri.
Bettina F DrakeBrown School at Washington University, School of Medicine, Department of Surgery, St. Louis, Missouri.
Elvin GengBrown School at Washington University, School of Medicine, Division of Infectious Diseases, St. Louis, Missouri.
Charles W GossBrown School at Washington University, School of Medicine, Division of Biostatistics, St. Louis, Missouri.
Kia L DavisBrown School at Washington University, School of Medicine, Department of Surgery, St. Louis, Missouri.
Washington University in St. Louis · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionApplying 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.

methodsWe 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.

resultsBlack 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).

conclusionBlack 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.

Indexed as

COVID-19White PeopleAdultBlack or African AmericanCross-Sectional StudiesEmploymentFemaleFood InsecurityHumansMale

Identifiers

PMID35980832
PMCPMC9390793
OpenAlexW4291820662

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.