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X Demographics
Mendeley readers
Attention Score in Context
| Title |
COVID-19 mortality in the UK Biobank cohort: revisiting and evaluating risk factors
|
|---|---|
| Published in |
European Journal of Epidemiology, February 2021
|
| DOI | 10.1007/s10654-021-00722-y |
| Pubmed ID | |
| Authors |
Joshua Elliott, Barbara Bodinier, Matthew Whitaker, Cyrille Delpierre, Roel Vermeulen, Ioanna Tzoulaki, Paul Elliott, Marc Chadeau-Hyam |
| Abstract |
Most studies of severe/fatal COVID-19 risk have used routine/hospitalisation data without detailed pre-morbid characterisation. Using the community-based UK Biobank cohort, we investigate risk factors for COVID-19 mortality in comparison with non-COVID-19 mortality. We investigated demographic, social (education, income, housing, employment), lifestyle (smoking, drinking, body mass index), biological (lipids, cystatin C, vitamin D), medical (comorbidities, medications) and environmental (air pollution) data from UK Biobank (N = 473,550) in relation to 459 COVID-19 and 2626 non-COVID-19 deaths to 21 September 2020. We used univariate, multivariable and penalised regression models. Age (OR = 2.76 [2.18-3.49] per S.D. [8.1 years], p = 2.6 × 10-17), male sex (OR = 1.47 [1.26-1.73], p = 1.3 × 10-6) and Black versus White ethnicity (OR = 1.21 [1.12-1.29], p = 3.0 × 10-7) were independently associated with and jointly explanatory of (area under receiver operating characteristic curve, AUC = 0.79) increased risk of COVID-19 mortality. In multivariable regression, alongside demographic covariates, being a healthcare worker, current smoker, having cardiovascular disease, hypertension, diabetes, autoimmune disease, and oral steroid use at enrolment were independently associated with COVID-19 mortality. Penalised regression models selected income, cardiovascular disease, hypertension, diabetes, cystatin C, and oral steroid use as jointly contributing to COVID-19 mortality risk; Black ethnicity, hypertension and oral steroid use contributed to COVID-19 but not non-COVID-19 mortality. Age, male sex and Black ethnicity, as well as comorbidities and oral steroid use at enrolment were associated with increased risk of COVID-19 death. Our results suggest that previously reported associations of COVID-19 mortality with body mass index, low vitamin D, air pollutants, renin-angiotensin-aldosterone system inhibitors may be explained by the aforementioned factors. |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 3 | 60% |
| United States | 1 | 20% |
| Unknown | 1 | 20% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 60% |
| Scientists | 2 | 40% |
Mendeley readers
The data shown below were compiled from readership statistics for 271 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 271 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 32 | 12% |
| Researcher | 31 | 11% |
| Student > Bachelor | 22 | 8% |
| Student > Ph. D. Student | 21 | 8% |
| Student > Postgraduate | 13 | 5% |
| Other | 28 | 10% |
| Unknown | 124 | 46% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 60 | 22% |
| Nursing and Health Professions | 18 | 7% |
| Environmental Science | 10 | 4% |
| Agricultural and Biological Sciences | 7 | 3% |
| Biochemistry, Genetics and Molecular Biology | 7 | 3% |
| Other | 33 | 12% |
| Unknown | 136 | 50% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 03 May 2022.
All research outputs
#6,013,158
of 24,755,976 outputs
Outputs from European Journal of Epidemiology
#699
of 1,773 outputs
Outputs of similar age
#152,613
of 561,287 outputs
Outputs of similar age from European Journal of Epidemiology
#14
of 28 outputs
Altmetric has tracked 24,755,976 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,773 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 38.7. This one has gotten more attention than average, scoring higher than 60% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 561,287 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.
We're also able to compare this research output to 28 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 53% of its contemporaries.