Evidence map›Paper›PMID 37041203›Full record

ArticleScientific reports2023

Obesity and COVID-19 mortality are correlated.

Bernard Arulanandam, Hamid Beladi, Avik Chakrabarti

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
7.4field-weighted citation impact, top 2% 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

19 citing papers in PubMed, 1 synthesis or guideline pooled it, 38 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Article
  19. 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

3 authors at 3 institutions in 1 country.

Bernard ArulanandamTufts University School of Medicine, Boston, MA, USA.
Hamid BeladiUniversity of Texas at San Antonio, San Antonio, USA.
Avik ChakrabartiUniversity of Wisconsin-Milwaukee (UWM), University of Wisconsin, 836 Bolton Hall, Milwaukee, WI, 53201, USA. chakra@uwm.edu.
The University of Texas at San Antonio · USTufts University · USUniversity of Wisconsin–Milwaukee · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In view of a conspicuous absence of any cross-country study linking obesity and COVID-19 mortality, we conduct an empirical analysis of plausible associations between COVID-19 mortality and the proportion of obese in the adult population distributed across 142 countries around the globe. We observe a statistically significant positive association between COVID-19 mortality and the proportion of obese in adult populations spanning 142 countries. This association holds across countries belonging to different income groups and is not sensitive to a population's median age, proportion of the elderly, and/or proportion of females. The estimated elasticity of COVID-19 mortality, with respect to the proportion of obese in adult populations, is the highest for the sub-sample of countries that belong to the high-income group. While limits of confidence intervals around the point estimates of these elasticities range between 0.7 and 2.1, on an average, every percentage point increment in the proportion of obese in adult populations contributes to an additional 1.5% points to COVID-19 mortality for high income countries. A positive association, observed between COVID-19 mortality and the proportion of the obese in a country's adult population, is robust subject to alterations in the conditioning information set on age, gender, and income.

Indexed as

COVID-19AdultAgedFemaleGlobal HealthHumansIncomeObesity

Identifiers

PMID37041203
PMCPMC10088638
OpenAlexW4364377167

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.