Dr. Peter A. McCullough, MD, MPH, is a board-certified cardiologist who has testified before committees of the US and Texas Senate regarding the treatment of COVID-19 and management of the ongoing pandemic.
Backup mirrors:
Obesity
Browse the articles related to this topic below.
From the start of the pandemic, the coronavirus seemed to target people carrying extra pounds. Patients who were overweight or obese were more likely to develop severe Covid-19 and more likely to die.
Though these patients often have health conditions like diabetes that compound their risk, scientists have become increasingly convinced that their vulnerability has something to do with obesity itself.
Now researchers have found that the coronavirus infects both fat cells and certain immune cells within body fat, prompting a damaging defensive response in the body.
Introduction
Severe COVID-19 illness in adults has been linked to underlying medical conditions. This study identified frequent underlying conditions and their attributable risk of severe COVID-19 illness.Conclusion
Certain underlying conditions and the number of conditions were associated with severe COVID-19 illness. Hypertension and disorders of lipid metabolism were the most frequent, whereas obesity, diabetes with complication, and anxiety disorders were the strongest risk factors for severe COVID-19 illness. Careful evaluation and management of underlying conditions among patients with COVID-19 can help stratify risk for severe illness.
http://archive.today/2021.10.25-144944/https://www.cdc.gov/pcd/issues/2021/21_0123.htm
Vitamin D deficiency is strongly associated with increased risk for coronavirus disease 2019 (COVID-19).
The odds ratio for COVID-19 increases with vitamin deficiency in black individuals.
Diabetes, obesity, and periodontal disease are associated with an increased risk for both COVID-19 and vitamin D deficiency.
Patients with vitamin D deficiency were 4.6 times more likely to be positive for COVID-19 (indicated by the ICD-10 diagnostic code COVID19) than patients with no deficiency (P < 0.001). The association decreased slightly after adjusting for sex (odds ratio [OR] = 4.58; P < 0.001) and malabsorption (OR = 4.46; P < 0.001), respectively. The association decreased significantly but remained robust (P < 0.001) after adjusting for race (OR = 3.76; P < 0.001), periodontal disease status (OR = 3.64; P < 0.001), diabetes (OR = 3.28; P < 0.001), and obesity (OR = 2.27; P < 0.001), respectively. In addition, patients with vitamin D deficiency were 5 times more likely to be infected with COVID-19 than patients with no deficiency after adjusting for age groups (OR = 5.155; P < 0.001).
https://www.sciencedirect.com/science/article/pii/S0899900720303890
- About 78% of people who have been hospitalized, needed a ventilator or died from Covid-19 have been overweight or obese, the Centers for Disease Control and Prevention said in a new study Monday.
- Just over 42% of the U.S. population was considered obese in 2018, according to the agency’s most recent statistics. Overweight is defined as having a body mass index of 25 or more, while obesity is defined as having a BMI of 30 or more.
- “As clinicians develop care plans for COVID-19 patients, they should consider the risk for severe outcomes in patients with higher BMIs, especially for those with severe obesity,” the CDC wrote.
Lockdowns may reduce the peak of transmission and recovery rates but not the number of critical cases or overall mortality.
Lastly, government actions such as border closures, full lockdowns, and a high rate of COVID-19 testing were not associated with statistically significant reductions in the number of critical cases or overall mortality.
…full lockdowns and early border closures may lessen the peak of transmission, and thus prevent health system overcapacity, which would facilitate increased recovery rates.
https://www.thelancet.com/journals/eclinm/article/PIIS2589-5370(20)30208-X/fulltext
Increasing COVID-19 caseloads were associated with countries with higher obesity (adjusted rate ratio [RR]=1.06; 95%CI: 1.01–1.11), median population age (RR=1.10; 95%CI: 1.05–1.15) and longer time to border closures from the first reported case (RR=1.04; 95%CI: 1.01–1.08). Increased mortality per million was significantly associated with higher obesity prevalence (RR=1.12; 95%CI: 1.06–1.19) and per capita gross domestic product (GDP) (RR=1.03; 95%CI: 1.00–1.06). Reduced income dispersion reduced mortality (RR=0.88; 95%CI: 0.83–0.93) and the number of critical cases (RR=0.92; 95% CI: 0.87–0.97). Rapid border closures, full lockdowns, and wide-spread testing were not associated with COVID-19 mortality per million people. However, full lockdowns (RR=2.47: 95%CI: 1.08–5.64) and reduced country vulnerability to biological threats (i.e. high scores on the global health security scale for risk environment) (RR=1.55; 95%CI: 1.13–2.12) were significantly associated with increased patient recovery rates.
https://www.thelancet.com/journals/eclinm/article/PIIS2589-5370(20)30208-X/fulltext