Evidence map›Paper›PMID 33620765›Full record

ArticleDiabetes, obesity & metabolism2021

Obesity as a driver of international differences in COVID-19 death rates.

Julian Gardiner, Jude Oben, Alastair Sutcliffe

Open access · hybridAbstract 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 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
2.0field-weighted citation impact, top 11% 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, 32 citations in OpenAlex.

  1. Pooled it
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  7. Socio-cultural Correlates of the COVID-19 Outcomes.Journal of epidemiology and global health · 2022
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  19. PeerJ · 2021
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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

3 authors at 2 institutions in 1 country.

Julian GardinerUniversity College London Great Ormond Street Institute of Child Health, London, UK.ORCID 0000-0001-8988-3812
Jude ObenUniversity College London Institute for Liver and Digestive Health, Royal Free Hospital, London, UK.
Alastair SutcliffeUniversity College London Great Ormond Street Institute of Child Health, London, UK.
Great Ormond Street Hospital · GBSt Thomas' Hospital · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimTo determine what proportion of the inter-country variation in death rates can be explained in terms of obesity rates and other known risk factors for coronavirus disease 2019 (COVID-19). MATERIALS AND

methodsCOVID-19 death rates from 30 industrialized countries were analysed using linear regression models. Covariates modelled population density, the age structure of the population, obesity, population health, per capita gross domestic product (GDP), ethnic diversity, national temperature and the delay in the government imposing virus control measures.

resultsThe multivariable regression model explained 63% of the inter-country variation in COVID-19 death rates. The initial model was optimized using stepwise selection. In descending order of absolute size of model coefficient, the covariates in the optimized model were the obesity rate, the hypertension rate, population density, life expectancy, the percentage of the population aged older than 65 years, the percentage of the population aged younger than 15 years, the diabetes rate, the delay in imposing national COVID-19 control measures, per capita GDP and mean temperature (with a negative coefficient indicating an association between higher national temperatures and lower death rates).

conclusionsA large proportion of the inter-country variation in COVID-19 death rates can be explained by differences in obesity rates, population health, population densities, age demographics, delays in imposing national virus control measures, per capita GDP and climate. Some of the unexplained variation is probably attributable to inter-country differences in the definition of a COVID-19 death and in the completeness of the recording of COVID-19 deaths.

Indexed as

COVID-19Diabetes MellitusAgedHumansObesityRisk FactorsSARS-CoV-2obesity therapyobservational studytype 2 diabetes

Identifiers

PMID33620765
PMCPMC8013490
OpenAlexW3129774778

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.