COVID‐19 and Morbid Obesity: Associations and Consequences for Policy and Practice

Curtin, Kevin M.; Pawloski, Lisa; Mitchell, Penelope; Dunbar, Jillian

doi:10.1002/wmh3.361

Cited by 10 publications

(9 citation statements)

References 46 publications

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“…Early reports in the pandemic of larger disparities in mortality relative to incidence suggested that the virus was deadlier for African Americans, exacerbating the inequalities produced by higher incidence rates ( Vasquez-Reyes, 2020 ). The higher rates of obesity and chronic diseases that have been linked to higher COVID-19 mortality suggest some reasons why case fatality may be elevated for African Americans and compound the risks from higher incidence rates ( Curtin et al., 2020 ; Jayawardena et al., 2020 ; Belanger et al., 2020 ; Tartof e al., 2020 ). While most studies have described higher COVID 19 mortality rates for African Americans, at least one recent report showed no difference in mortality related to COVID-19 between Blacks and other races/ethnicities among hospitalizations in a single health system ( Killerby et al., 2020 ; Gold et al., 2020 ; Ogedegbe et al., 2020 ).…”

Section: Introductionmentioning

confidence: 99%

Determinants of all-cause in-hospital mortality among patients who presented with COVID-19 to a community teaching hospital in Michigan

Zakaria

Piper

Douda

et al. 2021

Heliyon

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Background & objectives Race plays an important role in healthcare disparities, often resulting in worse health outcomes. It is unclear if other patient factors and race interactions may influence mortality in patients with COVID-19. We aimed to evaluate how multiple determinants of all-cause in-hospital mortality from COVID-19 were linked to race. Methods A retrospective observational study was conducted at two hospitals in metropolitan Detroit. We identified patients aged ≥18 years-old who had tested positive for COVID-19 and were admitted between March 9 through May 16, 2020. Multivariable logistic regression was performed assessing predictors of all-cause in-hospital mortality in COVID-19. Results We identified 1064 unique patients; 74% were African Americans (AA). The all-cause in-hospital mortality was 21.7%, with the majority of deaths seen in AA (65.4%, P = 0.002) and patients 80 years or older (52%, P < 0.0001). AA women had lower all-cause mortality than AA men, white women, and white men based on race-gender interactions. In multivariable logistic regression analysis, older age (>80-year-old), dementia, and chronic kidney disease were associated with worse all-cause in-hospital mortality. Adjusted for race and body mass index (BMI), the main odds ratios (OR) and 95% confidence intervals (CI) are: Age 80 and older vs < 60 in females: OR = 7.4, 95% CI: 2.9, 18.7; in males OR = 7.3, 95% CI: 3.3, 16.2; Chronic Kidney Disease (CKD): OR = 1.7, 95% CI: 1.2, 2.6; Dementia: OR = 2.2, 95% CI: 1.5, 3.3. Conclusion Gender significantly modified the association of race and COVID-19 mortality. African American females had the lowest all-cause in-hospital mortality risk compared to other gender-race groups.

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Section: Introductionmentioning

confidence: 99%

Determinants of all-cause in-hospital mortality among patients who presented with COVID-19 to a community teaching hospital in Michigan

Zakaria

Piper

Douda

et al. 2021

Heliyon

View full text Add to dashboard Cite

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“…Prior studies on risk factors associated with COVID-19 have considered the impact on mortality rates of a single risk factor such as obesity [7,8,9,10] or nutrition [11,12]. In a first gender-wise study, Nakeshbandi et al [13] showed with data collected from hospitalized patients over a month, that obesity is associated with higher mortality in men but not in women.…”

Section: Introductionmentioning

confidence: 99%

Gender Disparity in Risk Factors of COVID-19 Mortality Rate

Ranjan

Kini

et al. 2021

Preprint

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Incidence and mortality rates due to COVID-19 have varied widely in different parts of the world and placed a huge strain on hospital resources. Understanding the underlying reasons behind such variation is crucial to developing population-specific or even individual-specific management strategies. This paper presents a comprehensive analysis of incidence and mortality rates from data collected over a cumulative period of approximately 6.5 months from February to August 2020 across 411 districts of India, totalling over 2 million individuals. We identify the health factors which have both positive as well as negative correlates with high mortality rates, using data obtained from district-wise aggregated COVID-19 incidence and mortality rates and health data obtained from National Family Health Survey (NFHS). To obtain robust indicators, we apply both machine learning techniques as well as classical statistical methods and show that the same factors are identified by both methods. We also identify positive and negative correlates at multiple population scales by dividing the cohort into sub-cohorts formed from two Indian states which were further segregated by gender. We show that there is a disparity of risk factors among males and females. While obesity is the highest risk factor for men, anaemia is the highest risk factor for women. Hence, to better manage the health of a specific group of people, it is important to consider gender-wise heterogeneity in health risk factors which could contribute to differing vulnerabilities

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“…Initial ndings from early studies pointed towards age with older individuals being particularly at risk, those with non-communicable diseases (NCDs), such as, diabetes mellitus or cardiovascular diseases such as hypertension, respiratory conditions, and or kidney disease [4]. Further studies have led to the discovery that obesity is a plausible risk factor for severe illness, hospitalization and even death from COVID-19 [5,6].…”

Section: Introductionmentioning

confidence: 99%

Obesity as a Predictor for Adverse Outcomes Among COVID-19 Patients: A Meta-Analysis

Das

Samad

Seidu

et al. 2020

Preprint

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Background: The 2019 Severe Acute Respiratory Syndrome Coronavirus (COVID-19) is an unexpected pandemic causing mortalities across all ages. However, the severity of its health implications is mostly reported in persons with chronic health conditions with obesity being identified as one of the leading predisposing factors in acquiring the novel virus and developing its adverse complications. This meta-analysis sought to determine the estimated association between obesity and adverse outcomes among COVID-19 patients. Methods: We followed the recommended PRISMA guidelines in executing this study. A systematic literature search was conducted in PubMed, Google Scholar, and ScienceDirect for published literature between December 1, 2019, and October 2, 2020. The data for the study were pooled from studies that contained the search terms "Obesity" AND (COVID-19 or 2019-nCoV or Coronavirus or SARS-CoV-2) AND ("ICU admission" OR "Hospitalization" OR "Disease severity" OR "Invasive mechanical ventilator" OR "Death" OR "Mortality"). All the online searches were supplemented by reference screening of retrieved studies for additional literature. The pooled odds ratio (OR) and confidence intervals (CI) from the retrieved studies were calculated using the random effect model (Inverse-Variance method). Findings: A total of five (5) studies with a combined sample size of 335,192 patients were included in the meta-analysis. The pooled OR from the final analysis showed that patients who are severely obese were more likely to experience adverse outcome (death or ICU admission or needing IMV or hospitalization) compared to the normal patients [OR = 2.81, 95% CI = 2.33 – 3.40, I2 = 29%].Conclusion: Severe obesity is a risk factor in developing adverse outcomes among COVID-19 patients. The finding of the study signifies promotive, preventive, and curative attention to be accorded patients diagnosed with severe obesity and COVID-19.

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COVID‐19 and Morbid Obesity: Associations and Consequences for Policy and Practice

Cited by 10 publications

References 46 publications

Determinants of all-cause in-hospital mortality among patients who presented with COVID-19 to a community teaching hospital in Michigan

Determinants of all-cause in-hospital mortality among patients who presented with COVID-19 to a community teaching hospital in Michigan

Gender Disparity in Risk Factors of COVID-19 Mortality Rate

Obesity as a Predictor for Adverse Outcomes Among COVID-19 Patients: A Meta-Analysis

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