4.6 Article

Smoking and COVID-19 outcomes: an observational and Mendelian randomisation study using the UK Biobank cohort

Related references

Note: Only part of the references are listed.
Review Respiratory System

COVID-19 and Smoking: A Systematic Review and Meta-Analysis of the Evidence

Carlos A. Jimenez-Ruiz et al.

Summary: Smoking, both current and past, is associated with a negative disease course and adverse outcomes in COVID-19 patients, leading to a more severe clinical presentation and higher likelihood of critical conditions.

ARCHIVOS DE BRONCONEUMOLOGIA (2021)

Review Virology

The effect of smoking on COVID-19 severity: A systematic review and meta-analysis

Rohin K. Reddy et al.

Summary: Smoking is associated with increased risk of severe COVID-19 and worse in-hospital outcomes, as current smokers and patients with a smoking history are more susceptible to severe disease and have higher mortality rates.

JOURNAL OF MEDICAL VIROLOGY (2021)

Review Substance Abuse

The association of smoking status with SARS-CoV-2 infection, hospitalization and mortality from COVID-19: a living rapid evidence review with Bayesian meta-analyses (version 7)

David Simons et al.

Summary: The study shows that current smokers have a lower risk of SARS-CoV-2 infection compared to never smokers, while former smokers have a higher risk of hospitalization, disease severity, and mortality from COVID-19.

ADDICTION (2021)

Article Respiratory System

Multiple, objectively measured sleep dimensions including hypoxic burden and chronic kidney disease: findings from the Multi-Ethnic Study of Atherosclerosis

Nicholas S. Hopkinson et al.

Summary: This study found that sleep apnoea associated hypoxia and very short sleep may be associated with an increased prevalence of moderate-to-severe CKD. This indicates that sleep may have a certain impact on the development of CKD.

THORAX (2021)

Article Public, Environmental & Occupational Health

COVID-19 mortality in the UK Biobank cohort: revisiting and evaluating risk factors

Joshua Elliott et al.

Summary: Using data from the UK Biobank cohort, this study investigated factors associated with COVID-19 mortality and found that age, male sex, Black ethnicity, healthcare worker status, smoking, certain comorbidities, and oral steroid use were independently associated with increased risk of COVID-19 death. The study also highlighted the potential contributions of income, cardiovascular disease, hypertension, diabetes, cystatin C, and oral steroid use to the risk of COVID-19 mortality.

EUROPEAN JOURNAL OF EPIDEMIOLOGY (2021)

Article Multidisciplinary Sciences

Factors associated with COVID-19-related death using OpenSAFELY

Elizabeth J. Williamson et al.

NATURE (2020)

Letter Cardiac & Cardiovascular Systems

Cardiometabolic Traits, Sepsis, and Severe COVID-19 A Mendelian Randomization Investigation

Mark J. Ponsford et al.

CIRCULATION (2020)

Article Multidisciplinary Sciences

Collider bias undermines our understanding of COVID-19 disease risk and severity

Gareth J. Griffith et al.

NATURE COMMUNICATIONS (2020)

Review Respiratory System

The Effect of Smoking on COVID-19 Symptom Severity: Systematic Review and Meta-Analysis

Askin Guelsen et al.

PULMONARY MEDICINE (2020)

Article Multidisciplinary Sciences

The UK Biobank resource with deep phenotyping and genomic data

Clare Bycroft et al.

NATURE (2018)

Article Public, Environmental & Occupational Health

MendelianRandomization: an R package for performing Mendelian randomization analyses using summarized data

Olena O. Yavorska et al.

INTERNATIONAL JOURNAL OF EPIDEMIOLOGY (2017)

Article Public, Environmental & Occupational Health

Comparison of Sociodemographic and Health-Related Characteristics of UK Biobank Participants With Those of the General Population

Anna Fry et al.

AMERICAN JOURNAL OF EPIDEMIOLOGY (2017)

Article Medicine, General & Internal

Sensitivity Analysis in Observational Research: Introducing the E-Value

Tyler J. VanderWeele et al.

ANNALS OF INTERNAL MEDICINE (2017)

Article Genetics & Heredity

Bias due to participant overlap in two-sample Mendelian randomization

Stephen Burgess et al.

GENETIC EPIDEMIOLOGY (2016)

Article Public, Environmental & Occupational Health

Assessing the suitability of summary data for two-sample Mendelian randomization analyses using MR-Egger regression: the role of the I2 statistic

Jack Bowden et al.

INTERNATIONAL JOURNAL OF EPIDEMIOLOGY (2016)

Article Medicine, General & Internal

STATISTICS NOTES Inverse probability weighting

Mohammad Ali Mansournia et al.

BMJ-BRITISH MEDICAL JOURNAL (2016)

Article Medicine, General & Internal

STATISTICS NOTES Inverse probability weighting

Mohammad Ali Mansournia et al.

BMJ-BRITISH MEDICAL JOURNAL (2016)

Article Public, Environmental & Occupational Health

Mendelian randomization with invalid instruments: effect estimation and bias detection through Egger regression

Jack Bowden et al.

INTERNATIONAL JOURNAL OF EPIDEMIOLOGY (2015)

Editorial Material Public, Environmental & Occupational Health

The Table 2 Fallacy: Presenting and Interpreting Confounder and Modifier Coefficients

Daniel Westreich et al.

AMERICAN JOURNAL OF EPIDEMIOLOGY (2013)

Article Public, Environmental & Occupational Health

Quantifying biases in causal models:: Classical confounding vs collider-stratification bias

S Greenland

EPIDEMIOLOGY (2003)