Evidence map›Paper›PMID 36687320›Full record

ArticleAJPM focus2023

Food Insecurity and COVID-19 Infection: Findings From the 2020-2021 National Health Interview Survey.

Jiahui Cai

Open access · goldAbstract read
In one paragraph

Article in AJPM focus, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
3.5field-weighted citation impact, top 8% 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

6 citing papers in PubMed, 8 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

1 author at 1 institution in 1 country.

Jiahui CaiDepartment of Epidemiology and Biostatistics, School of Public Health, Indiana University Bloomington, Bloomington, Indiana.
Indiana University Bloomington · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The purpose of this study was to examine the sociodemographic and health-related factors associated with food insecurity and the association between food insecurity and COVID-19 infection using a nationally representative sample in the U.S. Methods: Cross-sectional data of 61,050 adults (aged ≥18 years) from the 2020 and 2021 National Health Interview Survey were analyzed. Food insecurity was measured by the 10-item U.S. Department of Agriculture Food Security Survey Module. Weighted multivariable logistic regression models were used to estimate associations with food insecurity. Results: A total of 6.8% of the National Health Interview Survey participants lived in food-insecure households, and 18.9% tested positive for COVID-19 infection. Young (aged 18-34 years) or middle (aged 35-64 years) age, female sex, minor race/ethnicity (Hispanic/non-Hispanic Black/non-Hispanic Asian/others), education level less than high school, unmarried status, unemployment, poverty (below the federal poverty level), having no health insurance, a larger number of adults and children in the household, poorer self-reported health status, and the presence of chronic conditions were significantly associated with food insecurity (AOR ranged from 1.20 to 3.15, all Conclusions: Food insecurity disproportionately affected vulnerable subgroups such as young adults, female individuals, minority race/ethnicity groups, and those with lower socioeconomic status, and was associated with positive COVID-19 infection. Policies addressing food insecurity may help to reduce the likelihood of COVID-19 infection, especially for those vulnerable subgroups.

Indexed as

COVID-19 infectiondisparitiesFood insecurityNational Health Interview Survey

Identifiers

PMID36687320
PMCPMC9847318
OpenAlexW4317780535

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.