BMI and future risk for COVID-19 infection and death across sex, age and ethnicity: Preliminary findings from UK biobank

Sattar, Naveed; Ho, Frederick K; Gill, Jason M. R.; Ghouri, Nazim; Gray, Stuart R.; Celis‐Morales, Carlos; Katikireddi, Srinivasa Vittal; Berry, Colin; Pell, Jill P.; McMurray, John J.V.; Welsh, Paul

doi:10.1016/j.dsx.2020.06.060

Cited by 92 publications

(104 citation statements)

References 3 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…On the other hand, Zachary et al reported better results concerning changes in the body weight, were the 22% reported an increase in this parameter, although this survey only analysed the period of initial confinement [13]. In this sense, it is important to consider that obese subjects with COVID-19 have a worse prognosis since they have a higher risk of intensity care unit (ICU) admission and invasive mechanical ventilation [24,25].…”

Section: Discussionmentioning

confidence: 94%

Physical and psychological effects related to food habits and lifestyle changes derived from Covid-19 home confinement Spanish population.

López-Moreno¹,

Teresa²,

Garcés-Rimón³

et al. 2020

Preprint

View full text Add to dashboard Cite

As consequence of COVID-19, millions of households suffered mobility restrictions and changes in their lifestyle during several months. The aim of this study was to evaluate the effects of COVID-19 home confinement in food habits, lifestyle and emotional balance of the Spanish population. This cross-sectional study used data collected via an anonymous online questionnaire during the last month before lockdown finished in Spain in a total of 675 participants. 38.8% of the respondents experienced weight gain while 31.1% lost weight during confinement. The increase in body weight was positively correlated with the age (Rs = 0.14, p &lt;0.05) and BMI (Rs = 0.20, p &lt;0.05). We also identified that 39.7% reported poorer quality sleep, it was positively correlated with BMI (Rs = -0.18, p &lt;0.05) and with age (Rs = -0.21, p &lt;0.05). 44.7% of the participants had not performed physical exercise during confinement with differences by sex (p &lt;0.05), by age (p &lt;0.05), by BMI (p &lt;0.05) and sleep quality (p &lt;0.05). According to emotional-eater questionnaire, 21.8% and 11% were classified as emotional eater and very emotional eater, respectively. We emphasize the importance of adopting a healthy lifestyle, as the COVID-19 pandemic nowadays is ongoing.

show abstract

Section: Discussionmentioning

confidence: 94%

Physical and psychological effects related to food habits and lifestyle changes derived from Covid-19 home confinement Spanish population.

López-Moreno¹,

Teresa²,

Garcés-Rimón³

et al. 2020

Preprint

View full text Add to dashboard Cite

show abstract

“…Emerging research has suggested that higher BMI is associated with increased LOS but decreased mortality for patients with ARDS [12,13]. However, recent fi ndings indicate that COVID-19 related deaths are more prevalent in patients with higher BMI [14] and that obesity should be considered an independent risk factor for mortality in patients with COVID-19 [15]. Obesity has been also linked to increased incidence of hospital admission in younger patients [16].…”

Section: Introductionmentioning

confidence: 99%

Patient Demographics Associated with ARDS Incidence, Hospital Length of Stay and Mortality

Gilmore¹,

Frilot²

2020

J Biomed Res Environ Sci

View full text Add to dashboard Cite

Introduction: Acute Respiratory Distress Syndrome (ARDS) is a common fi nding among pediatric and adult patient populations [1]. ARDS-related mortality remains high and is associated with prolonged hospital Length of Stay (LOS) and multiple ventilator days. Studies have sought to predict whether certain risk factors can be associated with ARDS development and mortality. It remains to be established whether a strong association exists between ARDS patient demographic characteristics, hospital LOS and overall ARDS-related mortality [4]. Methods: A retrospective analysis of Electronic Health Record (EHR) data identifi ed 595 adult subjects that received an ARDS diagnosis: ICD-9: 518.82, ICD-10: J96.00 or J80 annotation. The analysis spanned a 30-month period, evaluating subjects by age, gender, race, BMI, LOS, and mortality. Results: The majority of subjects were admitted through the Emergency Department (408: 68.6%) and were followed by Internal Medicine (137: 23%) or Trauma service (117: 19.7%). A signifi cant portion of subjects expired (130: 21.8%), but a majority were discharged to home care (212: 35.6%). A binomial logistic regression was performed to identify whether a prevalence or risk ratio could be identifi ed between subject demographics and either LOS or mortality. LOS in days was associated with an increased likelihood of mortality (1.055), and age at admission was associated with a reduction in the likelihood of mortality (0.986). Conclusions: No statistically signifi cant predictor of mortality was identifi ed among subject demographic variables. The fi ndings did suggest that mortality in subjects was higher with longer hospital LOS, lower overall in younger subjects, and inversely related to BMI.

show abstract

“…Given the expected initial limits on vaccine supply, it is very likely that choices will need to be made based on a number of different criteria: Individual health benefits : Ideally, this would take into account trial results on efficacy and adverse effects, and model the implications of using the vaccine for different individuals or groups within the general population. Given the emerging evidence on the relative risk of mortality based on databases such as the UK Biobank [ 23 ], it should be possible to estimate potential quality-adjusted life-years gained [ 24 ]. Societal health benefits : Susceptible, infected and recovered (SIR) models [ 25 ] that take into account the level and nature of population mixing could help to quantify the likely positive externalities associated with a vaccination programme.…”

mentioning

confidence: 99%

“…Individual health benefits : Ideally, this would take into account trial results on efficacy and adverse effects, and model the implications of using the vaccine for different individuals or groups within the general population. Given the emerging evidence on the relative risk of mortality based on databases such as the UK Biobank [ 23 ], it should be possible to estimate potential quality-adjusted life-years gained [ 24 ].…”

mentioning

confidence: 99%

How Should a Safe and Effective COVID-19 Vaccine be Allocated? Health Economists Need to be Ready to Take the Baton

Roope

Buckell

Becker

et al. 2020

PharmacoEconomics Open

View full text Add to dashboard Cite

BMI and future risk for COVID-19 infection and death across sex, age and ethnicity: Preliminary findings from UK biobank

Cited by 92 publications

References 3 publications

Physical and psychological effects related to food habits and lifestyle changes derived from Covid-19 home confinement Spanish population.

Physical and psychological effects related to food habits and lifestyle changes derived from Covid-19 home confinement Spanish population.

Patient Demographics Associated with ARDS Incidence, Hospital Length of Stay and Mortality

How Should a Safe and Effective COVID-19 Vaccine be Allocated? Health Economists Need to be Ready to Take the Baton

Contact Info

Product

Resources

About