Obesity: Policy and Practice Recommendations for High-Risk Populations Influenced by the COVID-19 Pandemic

Robinson, Kathryn N.; Saber, Deborah A.

doi:10.1128/msystems.00089-22

Cited by 2 publications

(3 citation statements)

References 17 publications

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“…However, we did not find that obesity had a negative effect on in-hospital mortality in cancer patients hospitalized for COVID-19. While this result may seem surprising since obesity is classically considered as contributing to a worse prognosis in the COVID-19 population [ 23 , 24 , 25 , 26 , 27 ], it is consistent with other studies [ 23 , 28 , 29 , 30 , 31 , 32 , 33 , 51 ] in cancer patients which did not find that mortality was increased (most ORs were close to 1 even after adjustment). This is the case, for example, for the cancer consortium cohort study, which found that obesity was not significantly associated with the risk of 30-day mortality, either in univariate analysis or after adjustment for age, sex, and smoking (OR = 0.99 [0.58–1.71]).…”

Section: Discussionsupporting

confidence: 87%

“…Obesity is also a well-known prognostic factor in COVID-19. In numerous studies, obesity is associated with increased morbidity and mortality in patients with COVID-19 [ 23 , 24 , 25 , 26 , 27 ]. However, in some populations, there seems to be an obesity paradox, especially in severely ill populations such as respiratory failure or cancer patients [ 23 , 28 , 29 , 30 , 31 , 32 , 33 ].…”

Section: Introductionmentioning

confidence: 99%

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Effect of Obesity among Hospitalized Cancer Patients with or without COVID-19 on a National Level

Cottenet

Tapia

Arveux

et al. 2022

Cancers

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Cancer and obesity are well-known prognostic factors in COVID-19. Our objective was to study the effect of obesity (and its severity) on the risk of intensive care unit (ICU) admission, severe complications, and in-hospital mortality, in a population of cancer patients hospitalized with or without COVID-19. All patients hospitalized in France for cancer from 1 March 2020 to 28 February 2022 were included from the French national administrative database. The effect of obesity was estimated in COVID-19 and in non-COVID-19 cancer patients using logistic and survival regressions, taking into account age, sex, comorbidities, and different types of cancer. Among the 992,899 cancer patients, we identified 53,090 patients with COVID-19 (5.35%), of which 3260 were obese (6.1%). After adjustment, for patients with or without COVID-19, there is an increased risk of ICU admission or severe complications in obese patients, regardless of the type of obesity. Regarding in-hospital mortality, there is no excess risk associated with overall obesity. However, massive obesity appears to be associated with an increased risk of in-hospital mortality, with a significantly stronger effect in solid cancer patients without COVID-19 and a significantly stronger effect in hematological cancer patients with COVID-19. This study showed that in France, among hospitalized patients with cancer and with or without COVID-19, increased vigilance is needed for obese patients, both in epidemic and non-epidemic periods. This vigilance should be further strengthened in patients with massive obesity for whom the risk of in-hospital mortality is higher, particularly in epidemic periods for patients with hematological cancers.

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Section: Discussionsupporting

confidence: 87%

Section: Introductionmentioning

confidence: 99%

Effect of Obesity among Hospitalized Cancer Patients with or without COVID-19 on a National Level

Cottenet

Tapia

Arveux

et al. 2022

Cancers

View full text Add to dashboard Cite

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“…For example, variable importance values for obesity across the Delta and Omicron waves show a unique hotspot for the state of Maine. Given Maine’s demographics as older, rural, yet politically progressive, model results suggest that obesity has a uniquely strong influence on predicting COVID-19 associated deaths, which have associations with statewide policy or regulatory components [56]. Comparatively, older populations (over 65) had a moderately stronger influence on model performance in southeastern rural areas (northeastern Georgia, northern Mississippi) across all three variant time windows.…”

Section: Discussionmentioning

confidence: 99%

Spatial Modeling of Sociodemographic Risk for COVID-19 Mortality

Seamon

Johnson-Leung

Miller

et al. 2023

Preprint

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In early 2020, the Coronavirus Disease 19 (COVID-19) rapidly spread across the United States, exhibiting significant geographic variability. While several studies have examined the predictive relationships of differing factors on COVID-19 deaths, few have looked at spatiotemporal variation at refined geographic scales. The objective of this analysis is to examine spatiotemporal variation of COVID-19 deaths in association with socioeconomic, health, demographic, and political factors, using regionalized multivariate regression as well as nationwide county-level geographically weighted random forest (GWRF) models. Analyses were performed on data from three sepearate timeframes: pandemic onset until May 2021, May 2021 through November 2021, and December 2021 until April 2022.Regionalized regression results across three time windows suggest that existing measures of social vulnerability for disaster preparedness (SVI) are associated with a higher degree of mortality from COVID-19. In comparison, GWRF models provide a more robust evaluation of feature importance and prediction, exposing the importance of local features, such as obesity, which is obscured by regional delineation. Overall, GWRF results indicate a more nuanced modeling strategy is useful for capturing the diverse spatial and temporal nature of the COVID-19 pandemic.

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Obesity: Policy and Practice Recommendations for High-Risk Populations Influenced by the COVID-19 Pandemic

Abstract: Obesity has been linked to higher morbidity and mortality in those that contract novel viruses, such as H1N1 and SARS-CoV-2. Loss of life and the high cost of obesity highlight the need to focus on preventative measures.

Cited by 2 publications

References 17 publications

Effect of Obesity among Hospitalized Cancer Patients with or without COVID-19 on a National Level

Effect of Obesity among Hospitalized Cancer Patients with or without COVID-19 on a National Level

Spatial Modeling of Sociodemographic Risk for COVID-19 Mortality

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