The association between excess weight and COVID-19 outcomes: An umbrella review.
Jamie MatuAlex GriffithsOliver M ShannonAndrew JonesRhiannon DayDuncan RadleyAlison FeeleyLisa MabbsJamie BlackshawNaveed SattarLouisa EllsPublished in: Obesity reviews : an official journal of the International Association for the Study of Obesity (2024)
This umbrella review assessed the association between excess weight and COVID-19 outcomes. MEDLINE, PsycINFO, and CINAHL were systematically searched for reviews that assessed the association between excess weight and COVID-19 outcomes. A second-order meta-analysis was conducted on the available data for intensive care unit admission, invasive mechanical ventilation administration, disease severity, hospitalization, and mortality. The quality of included reviews was assessed using the AMSTAR-2 appraisal tool. In total, 52 systematic reviews were included, 49 of which included meta-analyses. The risk of severe outcomes (OR = 1.86; 95% CI: 1.70 to 2.05), intensive care unit admission (OR = 1.58; 95% CI: 1.45 to 1.72), invasive mechanical ventilation administration (OR = 1.70; 95% CI: 1.57 to 1.83), hospitalization (OR = 1.82; 95% CI: 1.61 to 2.05), and mortality (OR = 1.35; 95% CI: 1.24 to 1.48) following COVID-19 infection was significantly higher in individuals living with excess weight compared with those with a healthy weight. There was limited evidence available in the included reviews regarding the influence of moderating factors such as ethnicity, and the majority of included reviews were of poor quality. Obesity appears to represent an important modifiable pre-infection risk factor for severe COVID-19 outcomes, including death.
Keyphrases
- meta analyses
- mechanical ventilation
- intensive care unit
- systematic review
- coronavirus disease
- weight loss
- sars cov
- body mass index
- physical activity
- acute respiratory distress syndrome
- weight gain
- randomized controlled trial
- emergency department
- risk factors
- type diabetes
- cardiovascular events
- respiratory failure
- metabolic syndrome
- early onset
- skeletal muscle
- machine learning
- adipose tissue
- glycemic control
- quality improvement
- data analysis