Evidence mapPaperPMID 39967684Full record

ArticleAJPM focus2025

Heterogeneity of the Association Between Obesity and COVID-19 Mortality and the Roles of Policy Interventions: U.S. National-Level Analysis.

Nabin Bhandari, Joel M Cuffey, Ruiqing Miao, David Zilberman

Abstract read
In one paragraph

Article in AJPM focus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
field-weighted citation impact
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

2 citing papers in PubMed.

  1. Article
  2. Article
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

4 authors.

Nabin BhandariDepartment of Agricultural Economics & Rural Sociology, Auburn University, Auburn, Alabama.
Joel M CuffeyDepartment of Agricultural Economics & Rural Sociology, Auburn University, Auburn, Alabama.
Ruiqing MiaoDepartment of Agricultural Economics & Rural Sociology, Auburn University, Auburn, Alabama.
David ZilbermanDepartment of Agricultural and Resource Economics, Rausser College of Natural Resources, University of California, Berkeley, Berkeley, California.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This article examines the heterogeneity of the association between obesity and COVID-19 mortality across various dimensions, including COVID-19 vaccination rates, mask mandates, gathering restrictions, and household income. Using multivariate regression analysis on U.S. county-level data over 2020-2021, the authors found that county-level adult obesity rates were positively associated with COVID-19 death rates. The results suggest that on average, a 10-percentage-point decrease in adult obesity rate is associated with a decrease in COVID-19 deaths by 4.79%-5.98% in the U.S. Considering that the average adult obesity rate in the U.S. is higher than the global average, this finding may explain why deaths due to COVID-19 were disproportionately large in the U.S. In addition, the authors found that association between obesity and the COVID-19 death rate is much more pronounced in groups with low vaccination rates, weak mask mandates, loose gathering restrictions, or low household incomes, indicating the importance of COVID-19 response policies and income to people with obesity facing a pandemic. The study results contribute to policy discussions surrounding preparation for COVID-19-like pandemics. Food policies and health promotion strategies that encourage physical well-being to reduce obesity prevalence may help reduce mortality in future pandemics.

Indexed as

COVD-19gathering restrictionheterogeneitymask mandateobesityvaccination

Identifiers

PMID39967684
PMCPMC11834079

What Socratic 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 Socratic graph.