Evidence map›Paper›PMID 32577689›Full record

ArticlemedRxiv : the preprint server for health sciences2020

Psychosocial factors and hospitalisations for COVID-19: Prospective cohort study of the general population.

G David Batty, Ian J Deary, Michelle Luciano, Drew M Altschul, Mika Kivimäki, Catharine R Gale

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

G David BattyDepartment of Epidemiology and Public Health, University College London, UK.ORCID 0000-0003-1822-5753
Ian J DearyLothian Birth Cohorts, Department of Psychology, University of Edinburgh, UK.ORCID 0000-0002-1733-263X
Michelle LucianoDepartment of Psychology, The University of Edinburgh, Edinburgh, UK.ORCID 0000-0003-0935-7682
Drew M AltschulDepartment of Psychology, The University of Edinburgh, Edinburgh, UK.ORCID 0000-0001-7053-4209
Mika KivimäkiDepartment of Epidemiology and Public Health, University College London, UK.ORCID 0000-0002-4699-5627
Catharine R GaleLothian Birth Cohorts, Department of Psychology, University of Edinburgh, UK.ORCID 0000-0002-3361-8638

Funding

Education, socioeconomic status and Aging: transitions from multimorbidity to functional limitations and mortalityR01AG056477 · NIA · UNIVERSITY COLLEGE LONDON · PI KIVIMAKI, MIKA J, SINGH-MANOUX, ARCHANA · 2018 to 2022
$2.8M
Evaluating Longitudinal Changes in the Human Structural Connectome in Relation to Cognitive AgingR01AG054628 · NIA · UNIVERSITY OF TEXAS AT AUSTIN · PI TUCKER-DROB, ELLIOT MAX · 2017 to 2021
$2.7M
Healthy transitions from mid-life to early older age: biomedical follow-up of 1958 Birth Cohort Study members at age 60R01AG052519 · NIA · UNIVERSITY COLLEGE LONDON · PI BATTY, DAVID, GOODMAN, ALISSA · 2017 to 2021
$1.9M
Healthy transitions from mid-life to early older age: biomedical follow-up of 1958 Birth Cohort Study members at age 60R56AG052519 · NIA · UNIVERSITY COLLEGE LONDON · PI BATTY, DAVID, GOODMAN, ALISSA · 2016 to 2016
$500k
Medical Research Council MR/R024065/1NIA NIH HHS R01 AG052519NIA NIH HHS R01 AG054628NIA NIH HHS R01 AG056477NIA NIH HHS R56 AG052519
6 · The paper itself

Abstract

Objective: To examine the association of a range of psychosocial factors with hospitalisation for COVID-19. Design: Prospective cohort study. Setting: England. Participants: UK Biobank comprises around half a million people who were aged 40 to 69 years at study induction between 2006 and 2010 when information on psychosocial factors and covariates were captured. Main outcome measure: Hospitalisation for COVID-19 in England between 16 Results: There were 908 hospitalisations for COVID-19 in an analytical sample of 431,051 people. In age- and sex-adjusted analyses, an elevated risk of COVID-19 was related to disadvantaged levels of education (odds ratio; 95% confidence interval: 2.05; 1.70, 2.47), income (2.00; 1.63, 2,47), area deprivation (2.20; 1.86, 2.59), occupation (1.39; 1.14, 1.69), psychological distress (1.58; 1.32, 1.89), mental health (1.50; 1.25, 1.79), neuroticism (1.19; 1.00, 1.42), and performance on two tests of cognitive function - verbal and numerical reasoning (2.66; 2.06, 3.34) and reaction speed (1.27; 1.08, 1.51). These associations were graded (p-value for trend ≤0.038) such that effects were apparent across the full psychosocial continua. After mutual adjustment for these characteristics plus ethnicity, comorbidity, and lifestyle factors, only the relationship between lower cognitive function as measured using the reasoning test and a doubling in the risk of the infection remained (1.98; 1.38, 2.85). Conclusion: A range of psychosocial factors revealed associations with hospitalisations for COVID-19 of which the relation with cognitive function was most robust to statistical adjustment.

Indexed as

cohort studyCOVID-19hospitalisationrisk factorsUK Biobank

Identifiers

PMID32577689
PMCPMC7302298

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.