Cited by 687COVID-19 Clinical Research StudiesObesity, Physical Activity, DietInfluenza Virus Research Studies

Obesity and its implications for covid-19 mortality

Dietz, William, Santos‐Burgoa, Carlos·2020·Obesity

Abstract

To the Editor: A recent Journal of the American Medical Association viewpoint regarding fatalities in Italy associated with the new coronavirus (COVID-19) pandemic failed to mention obesity as one of the preexisting diseases associated with death ((1)). It seems likely that the increased prevalence of obesity in older adults in Italy compared with China may account for the differences in mortality between the two countries. Furthermore, the rising prevalence of obesity in the United States and prior experience of the impact of obesity on mortality from H1N1 influenza should increase the sensitivity of clinicians caring for patients with obesity and COVID-19 to the need for aggressive treatment of such patients. Between April 2009 and January 2010, the Centers for Disease Control and Prevention estimated that 41 to 84 million people were infected with the H1N1 influenza virus and that between 180,000 and 370,000 infected patients were hospitalized, with 8,000 to 17,000 deaths ((2)). Several reports from around the world identified obesity and severe obesity as risk factors for hospitalization and mechanical ventilation. For example, in California between April and August 2009, 1,088 patients with H1N1 influenza either were hospitalized or died ((2)). Of 268 patients ≥ 20 years old in whom BMI was calculated, 58% had obesity (BMI ≥ 30), and 67% of those had severe obesity (BMI ≥ 40) ((3)). Sixty-six percent of those with obesity also had underlying diseases, such as chronic lung disease, including asthma, cardiac problems, or diabetes. Among hospitalized patients in New Mexico in 2009 ((4)), 46% had obesity, and 56% of those requiring mechanical ventilation had severe obesity. Rates of H1N1 hospitalizations were significantly greater among American Indians, African Americans, and Hispanics than among non-Hispanic whites, possibly reflecting the increased prevalence of obesity in those populations. The distribution of obesity among hospitalized patients in California and New Mexico exceeded the 35% prevalence of obesity in US adults in 2009 to 2010. The disproportionate impact of H1N1 influenza and now COVID-19 in patients with obesity and severe obesity is not surprising given the impact of obesity on pulmonary function. Obesity is associated with decreased expiratory reserve volume, functional capacity, and respiratory system compliance. In patients with increased abdominal obesity, pulmonary function is further compromised in supine patients by decreased diaphragmatic excursion, making ventilation more difficult. Furthermore, increased inflammatory cytokines associated with obesity may contribute to the increased morbidity associated with obesity in COVID-19 infections. Although the effects of COVID-19 on patients with obesity have not yet been well described, the H1N1 influenza experience should serve as a caution for the care of patients with obesity and particularly patients with severe obesity. The prevalence of adult obesity and severe obesity in 2017 to 2018 has increased since 2009 to 2010 and is now 42% and 9%, respectively ((5)). These observations suggest that the proportion of patients with obesity, severe obesity, and COVID-19 infections will increase compared with the H1N1 experience, and the disease will likely have a more severe course in such patients. These observations also emphasize the need for increased vigilance, priority on detection and testing, and aggressive therapy for patients with obesity and COVID-19 infections.

Integrity signals

Registry

Crossref · 10.1002/oby.22818

Cites

1 of 1 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Dietz, W., & Santos‐Burgoa, C.
Affiliations
George Washington University (US)
Corresponding author
Dietz, William
Venue
Obesity
Publisher
Wiley
Published
2020-04-18
Volume
28
Issue
6
Pages
1005-1005
ISSN
  • 1930-7381 (ISSN-L)
  • 1930-739X
OpenAlex
W3013390201
Cited by
687
References
1
Citations by year
2026: 5 · 2025: 12 · 2024: 30 · 2023: 63 · 2022: 123 · 2021: 222 · 2020: 231 · 2019: 1
Type
journal article
Language
en
Open access
closed
Locations
  • Obesity (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Health Sciences › Medicine › Infectious Diseases › COVID-19 Clinical Research Studies
  • Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Obesity, Physical Activity, Diet
  • Health Sciences › Medicine › Epidemiology › Influenza Virus Research Studies
Keywords
COVID-19 mortality, H1N1 influenza, obesity as risk factor, mechanical ventilation, lung function, racial and ethnic disparities, pre-existing disease, abdominal obesity, diaphragmatic excursion, expiratory reserve volume, respiratory compliance, comorbidities
MeSH terms
Betacoronavirus, COVID-19, SARS-CoV-2, Humans, Italy, Obesity, Pneumonia, Viral, Coronavirus Infections, Pandemics

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review