Obesity population at risk of COVID-19 complications.

Glob Health Epidemiol Genom

Department of Trauma and Orthopaedics, Mater Dei Hospital, Msida, Malta.

Published: December 2020

Introduction: Global public health is challenged by two concurrent epidemics; COVID-19 and obesity. Considering the global prevalence of obesity, exploring relationships with COVID-19 are of clinical importance. The aim was to provide a comprehensive summary and recommendations on this relationship between COVID-19 and obesity.

Method: A literature search was performed to prepare a narrative review of COVID-19 and obesity.

Results: An obesity state promotes chronic inflammation, vitamin D deficiency, hinders immunity and causes mechanical lung compression. These increase susceptibilities to COVID-19 infection, complications including the requirement of invasive ventilation. Existing co-morbidities enhances these complications. Preventive measures of social distancing and self-isolation may increase stigmatisation and psychological deterrents. Hence, special recommendations targeting this vulnerable population are required.

Conclusion: The obese population is a COVID-19 vulnerable group, requiring special attention during this pandemic to avoid complications and healthcare systems burden. Lacking COVID-19 vaccination, regular physical activity and a healthy diet are recommended with attention to mental health. A prolonged quarantine duration and administration of prophylactic vitamin D may be considered.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7681109PMC
http://dx.doi.org/10.1017/gheg.2020.6DOI Listing

Publication Analysis

Top Keywords

covid-19
8
obesity
4
obesity population
4
population risk
4
risk covid-19
4
complications
4
covid-19 complications
4
complications introduction
4
introduction global
4
global public
4

Similar Publications

The feasibility of using machine learning to predict COVID-19 cases.

Int J Med Inform

January 2025

School of Geography and the Environment, University of Oxford, South Parks Road, Oxford OX1 3QY, United Kingdom. Electronic address:

Background: Coronavirus Disease 2019 (COVID-19), caused by the SARS-CoV-2 virus, emerged as a global health crisis in 2019, resulting in widespread morbidity and mortality. A persistent challenge during the pandemic has been the accuracy of reported epidemic data, particularly in underdeveloped regions with limited access to COVID-19 test kits and healthcare infrastructure. In the post-COVID era, this issue remains crucial.

View Article and Find Full Text PDF

Background: Whether a detected virus or bacteria is a pathogen that may require treatment, or is merely a commensal 'passenger', remains confusing for many infections. This confusion is likely to increase with the wider use of multi-pathogen PCR.

Objectives: To propose a new statistical procedure to analyse and present data from case-control studies clarifying the probability of causality.

View Article and Find Full Text PDF

Introduction: Convalescent plasma (CP) therapy is a form of passive immunization which has been used as a treatment for coronavirus disease 2019 (COVID-19). This study aims to evaluate the efficacy and safety of CP therapy in patients with severe COVID-19.

Methodology: In this retrospective cohort study, 50 patients with severe COVID-19 treated with CP at Shahid Beheshti Hospital, Kashan, in 2019 were evaluated.

View Article and Find Full Text PDF

Introduction: The present study aimed to explore the epidemiologic threats and factors associated with the coronavirus disease 2019 (COVID-19)-associated mucormycosis (CAM) epidemic that emerged in Egypt during the second COVID-19 wave. The study also aimed to explore the diagnostic features and the role of surgical interventions of CAM on the outcome of the disease in a central referral hospital.

Methodology: The study included 64 CAM patients from a referral hospital for CAM and a similar number of matched controls from COVID-19 patients who did not develop CAM.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!