Article ; Online: Obesity population at risk of COVID-19 complications.
Global health, epidemiology and genomics
2020 Volume 5, Page(s) e6
Abstract: ... Conclusion: The obese population is a COVID-19 vulnerable group, requiring special attention during ... 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 ...
Abstract | 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. |
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MeSH term(s) | Body Mass Index ; COVID-19/epidemiology ; COVID-19/physiopathology ; Diet/statistics & numerical data ; Female ; Humans ; Life Style ; Male ; Mental Health ; Obesity/epidemiology ; Obesity/physiopathology ; Quarantine/statistics & numerical data ; Respiration, Artificial/statistics & numerical data ; Risk Factors ; Sedentary Behavior ; Severity of Illness Index ; Vulnerable Populations/statistics & numerical data |
Language | English |
Publishing date | 2020-11-06 |
Publishing country | England |
Document type | Journal Article ; Review |
ISSN | 2054-4200 |
ISSN (online) | 2054-4200 |
DOI | 10.1017/gheg.2020.6 |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
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