Article ; Online: Overweight and Obesity are Risk Factors for Coronavirus Disease 2019: A Propensity Score-Matched Case-Control Study.
Endocrinology and metabolism (Seoul, Korea)
2021 Volume 36, Issue 1, Page(s) 196–200
Abstract: ... matched case-control study to examine the association between obesity and COVID-19. This study included data ... trend. Females and those <50 years had more robust association pattern. Overweight and obesity are ... Although obesity is a risk factor for infection, whether it has the same effect on coronavirus ...
| Abstract | Although obesity is a risk factor for infection, whether it has the same effect on coronavirus disease 2019 (COVID-19) need confirming. We conducted a retrospective propensity score matched case-control study to examine the association between obesity and COVID-19. This study included data from the Nationwide COVID-19 Registry and the Biennial Health Checkup database, until May 30, 2020. We identified 2,231 patients with confirmed COVID-19 and 10-fold-matched negative test controls. Overweight (body mass index [BMI] 23 to 24.9 kg/m2; adjusted odds ratio [aOR], 1.16; 95% confidence interval [CI], 1.1.03 to 1.30) and class 1 obesity (BMI 25 to 29.9 kg/m2; aOR, 1.27; 95% CI, 1.14 to 1.42) had significantly increased COVID-19 risk, while classes 2 and 3 obesity (BMI ≥30 kg/m2) showed similar but non-significant trend. Females and those <50 years had more robust association pattern. Overweight and obesity are possible risk factors of COVID-19. |
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| MeSH term(s) | Adult ; Aged ; Body Mass Index ; COVID-19/epidemiology ; COVID-19/etiology ; COVID-19/virology ; COVID-19 Testing/statistics & numerical data ; Case-Control Studies ; Databases, Factual ; Female ; Humans ; Male ; Middle Aged ; Obesity/physiopathology ; Obesity/virology ; Odds Ratio ; Overweight/physiopathology ; Overweight/virology ; Propensity Score ; Registries ; Risk Factors ; SARS-CoV-2 ; Young Adult |
| Language | English |
| Publishing date | 2021-02-24 |
| Publishing country | Korea (South) |
| Document type | Journal Article ; Research Support, Non-U.S. Gov't |
| ZDB-ID | 2802452-7 |
| ISSN | 2093-5978 ; 2093-5978 |
| ISSN (online) | 2093-5978 |
| ISSN | 2093-5978 |
| DOI | 10.3803/EnM.2020.856 |
| Database | MEDical Literature Analysis and Retrieval System OnLINE |
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