Evidence map›Paper›PMID 33395781›Full record

ReviewDiabetes & metabolic syndrome

Obesity: A potential risk factor for infection and mortality in the current COVID-19 epidemic.

Ranil Jayawardena, Dhanushya T Jeyakumar, Anoop Misra, Andrew P Hills, Priyanga Ranasinghe

Open access · greenAbstract readReview
In one paragraph

Review in Diabetes & metabolic syndrome. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 2 pooled it
0.9field-weighted citation impact, top 14% 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

21 citing papers in PubMed, 2 syntheses or guidelines pooled it, 46 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

5 authors at 3 institutions in 2 countries.

Ranil JayawardenaDepartment of Physiology, Faculty of Medicine, University of Colombo, Colombo, Sri Lanka; School of Exercise & Nutrition Sciences, Queensland University of Technology, Brisbane, Queensland, Australia. Electronic address: ranil@physiol.cmb.ac.lk.
Dhanushya T JeyakumarHealth and Wellness Unit, Faculty of Medicine, University of Colombo, Colombo, Sri Lanka.
Anoop MisraFortis-C-DOC Centre of Excellence for Diabetes, Metabolic Diseases and Endocrinology, Chirag Enclave, New Delhi, India.
Andrew P HillsSchool of Exercise & Nutrition Sciences, Queensland University of Technology, Brisbane, Queensland, Australia; School of Health Sciences, Faculty of Health, University of Tasmania, Newnham Drive, Launceston, Tasmania, Australia; Mater Research Institute, University of Queensland, Brisbane, Queensland, Australia.
Priyanga RanasingheDepartment of Pharmacology, Faculty of Medicine, University of Colombo, Colombo, Sri Lanka.
University of Colombo · LKQueensland University of Technology · AUUniversity of Tasmania · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

aimsCOVID-19 is an ongoing global pandemic, affecting nearly 35 million people from 214 countries as at September 30, 2020 and emerging evidence suggests that obesity is a potential risk factor for communicable diseases, including viral infections. Therefore, we investigated the relationship between obesity prevalence of the total adult population and COVID-19 infection and mortality rates, in different countries.

methodsA total of 54 countries from six continents were selected. Country-specific obesity prevalence data were retrieved from the latest non-communicable diseases profiles released by the Non-communicable Diseases and Mental Health Cluster of World Health Organization, while the real time statistics from the Worldometer website were used to extract data on COVID-19 infections and mortality per million of the total population as of September 30, 2020.

resultsObesity prevalence data ranged from 2.0% (Vietnam) to 35.0% (Saudi Arabia). Among the selected countries, the highest number of COVID-19 cases per million was documented in Qatar (n = 44,789) while the lowest was reported from Vietnam (n = 11). Highest mortality per million population due to COVID-19 infections occurred in Peru (n = 981), in contrast with the smallest number reported in Mongolia (n = 0). A significant positive correlation (r = 0.46; p < 0.001) was observed between the total number of COVID-19 infections and the prevalence of obesity. COVID-19 mortality was also significantly correlated (r = 0.34; p < 0.05) with the prevalence of obesity.

conclusionsObesity prevalence in each country was significantly associated with both infection and mortality rate of COVID-19.

Indexed as

COVID-19EpidemicsGlobal HealthHumansMortalityObesityRisk FactorsCOVID-19MortalityObesityPrevalence

Identifiers

PMID33395781
PMCPMC7656158
OpenAlexW3105542978

What OpenQuestion holds

Textmetadata
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.