Evidence map›Paper›PMID 34402152›Full record

ArticleDiabetes, obesity & metabolism2021

A global country-level analysis of the relationship between obesity and COVID-19 cases and mortality.

Oliver Foo, Shaun Hiu, Dawn Teare, Akheel A Syed, Salman Razvi

Abstract read
In one paragraph

Article in Diabetes, obesity & metabolism, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
–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

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

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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

5 authors.

Oliver FooTranslational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, UK.ORCID 0000-0001-5488-6220
Shaun HiuPopulation Health Sciences Institute, Newcastle University, Newcastle upon Tyne, UK.
Dawn TearePopulation Health Sciences Institute, Newcastle University, Newcastle upon Tyne, UK.
Akheel A SyedSalford Royal NHS Foundation Trust, Salford, UK.ORCID 0000-0001-8696-7121
Salman RazviTranslational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, UK.ORCID 0000-0002-9047-1556

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimTo assess the association of country-level obesity prevalence with COVID-19 case and mortality rates, to evaluate the impact of obesity prevalence on worldwide variation.

methodsData on COVID-19 prevalence and mortality, country-specific governmental actions, socioeconomic, demographic, and healthcare capacity factors were extracted from publicly available sources. Multivariable negative binomial regression was used to assess the independent association of obesity with COVID-19 case and mortality rates.

resultsAcross 168 countries for which data were available, higher obesity prevalence was associated with increased COVID-19 mortality and prevalence rates. For every 1% increase in obesity prevalence, the mortality rate was increased by 8.3% (incidence rate ratio [IRR] 1.083, 95% confidence interval [CI] 1.048-1.119; P < 0.001) and the case rate was higher by 6.6% (IRR 1.066, 95% CI 1.035-1.099; P < 0.001). Additionally, higher median population age, greater female ratio, higher Human Development Index (HDI), lower population density, and lower hospital bed availability were all significantly associated with higher COVID-19 mortality rate. In addition, stricter governmental actions, higher HDI and lower mean annual temperature were significantly associated with higher COVID-19 case rate.

conclusionThese findings demonstrate that obesity prevalence is a significant and potentially modifiable risk factor of increased COVID-19 national caseload and mortality. Future research to study whether weight loss improves COVID-19 outcomes is urgently required.

Indexed as

COVID-19FemaleHumansIncidenceObesityPopulation DensitySARS-CoV-2COVID-19negative binomial regressionobesity prevalence

Identifiers

PMID34402152
PMCPMC8444639

What OpenQuestion holds

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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.