About: Obese communities among the best predictors of COVID-19-related deaths

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Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
title	Obese communities among the best predictors of COVID-19-related deaths
Creator	Hafez, Nada Hozaien, Rafeef Ismail, Habiba-Allah Kamel, Aya Adel, Veronia Amin, Abeer Attallah, Josephine Bahnan, Odette Eshak, Kirollos Farah, Sousanna Gaballah, Amr Ghaly, Ramy Ghaly, Sherry Habib, Menna Heikal, Bassant Hesham, Hend Ismail, Passant Khaled, Mariam Menshawey, Esraa Mohy-El-Din, Mayan Moursi, Mai Senoussy, Sara Tarek, Mario Tawfik, Marwa Abdelmassih, Antoine Khaled-Ibn-Elwalid, Mariam
source	Medline; PMC
abstract	INTRODUCTION: Coronavirus disease 2019 (COVID-19) is the largest outbreak to strike the world since the Spanish flu in 1918. Visual examination of the world map shows a wide variation of death tolls between countries. The main goal of our series is to determine the best predictors of such discrepancy. METHODS: This is a retrospective study in which the rate of COVID-19 deaths was correlated with each of the following independent variables: total tests per 1 million population, gross domestic product (GDP), average temperatures per country, ultraviolet index, median age, average BMI per country, food supply, Bacille Calmette-Guerin compulsory status, and passenger traffic. RESULTS: BMI per country proved to be the second best predictor of death rate with an R value of 0.43, and GDP being the best predictor with R = 0.65. CONCLUSION: This article shows a tight correlation between average BMI, food supply per country, and COVID-19-related deaths. Such predisposing factors might operate by upregulating the inflammation pathway in heavily struck countries, leading to easier triggering of the infamous cytokine storm syndrome. Obesity also increases cardiovascular and respiratory morbidities, which are coupled to increased ICU demand and deaths among infected cases. Video abstract: http://links.lww.com/CAEN/A25.
has issue date	2020-06-22(xsd:dateTime)
bibo:doi	10.1097/xce.0000000000000218
bibo:pmid	32803143
has license	no-cc
sha1sum (hex)	f4edc048488f660e7710fc98f2757d9cee3d0594
schema:url	https://doi.org/10.1097/xce.0000000000000218
resource representing a document's title	Obese communities among the best predictors of COVID-19-related deaths
has PubMed Central identifier	PMC7314342
has PubMed identifier	32803143
schema:publication	Cardiovasc Endocrinol Metab
resource representing a document's body	covid:f4edc048488f660e7710fc98f2757d9cee3d0594#body_text
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