Evidence map›Paper›PMID 32051121›Full record

SynthesisBMJ (Clinical research ed.)2020

Comparison of risk factor associations in UK Biobank against representative, general population based studies with conventional response rates: prospective cohort study and individual participant meta-analysis.

G David Batty, Catharine R Gale, Mika Kivimäki, Ian J Deary, Steven Bell

Abstract readComparative StudyMeta-Analysis
In one paragraph

Synthesis in BMJ (Clinical research ed.), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 403 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
403citing papers in PubMed, 1 pooled it
–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

403 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  10. Obesity, metabolic health status, and adverse outcomes in men and women.American journal of preventive cardiology · 2026
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  14. Metabolic syndrome is associated with accelerated brain aging.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
    Article
  15. The kidney failure risk equation in people with CKD and multimorbidity: the effect of competing mortality risks.Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association · 2026
    Observational
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343 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

G David BattyDepartment of Epidemiology and Public Health, University College London, London WC1E 6BT, UK david.batty@ucl.ac.uk.ORCID 0000-0003-1822-5753
Catharine R GaleMRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK.
Mika KivimäkiDepartment of Epidemiology and Public Health, University College London, London WC1E 6BT, UK.
Ian J DearyLothian Birth Cohorts, Department of Psychology, University of Edinburgh, Edinburgh, UK.
Steven BellBritish Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK.

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
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
British Heart FoundationMedical Research Council G0700704Medical Research Council MC_PC_12028Medical Research Council MC_PC_17228Medical Research Council MC_QA137853Medical Research Council MR/K026992/1Medical Research Council MR/L003120/1Medical Research Council MR/S011676/1NIA NIH HHS R01 AG052519NIA NIH HHS R01 AG056477NIA NIH HHS R56 AG052519
6 · The paper itself

Abstract

objectiveTo compare established associations between risk factors and mortality in UK Biobank, a study with an exceptionally low rate of response to its baseline survey, against those from representative studies that have conventional response rates.

designProspective cohort study alongside individual participant meta-analysis of other cohort studies.

settingUnited Kingdom.

participantsAnalytical sample of 499 701 people (response rate 5.5%) in analyses in UK Biobank; pooled data from the Health Surveys for England (HSE) and the Scottish Health Surveys (SHS), including 18 studies and 89 895 people (mean response rate 68%). Both study populations were linked to the same nationwide mortality registries, and the baseline age range was aligned at 40-69 years.

main outcome measureDeath from cardiovascular disease, selected malignancies, and suicide. To quantify the difference between hazard ratios in the two studies, a ratio of the hazard ratios was used with HSE-SHS as the referent.

resultsRisk factor levels and mortality rates were typically more favourable in UK Biobank participants relative to the HSE-SHS consortium. For the associations between risk factors and mortality endpoints, however, close agreement was seen between studies. Based on 14 288 deaths during an average of 7.0 years of follow-up in UK Biobank and 7861 deaths over 10 years of mortality surveillance in HSE-SHS, for cardiovascular disease mortality, for instance, the age and sex adjusted hazard ratio for ever having smoked cigarettes (versus never) was 2.04 (95% confidence interval 1.87 to 2.24) in UK Biobank and 1.99 (1.78 to 2.23) in HSE-SHS, yielding a ratio of hazard ratios close to unity (1.02, 0.88 to 1.19). The overall pattern of agreement between studies was essentially unchanged when results were compared separately by sex and when baseline years and censoring dates were aligned.

conclusionDespite a very low response rate, risk factor associations in the UK Biobank seem to be generalisable.

Indexed as

Biological Specimen BanksCause of DeathHealth SurveysHumansProportional Hazards ModelsProspective StudiesUnited Kingdom

Identifiers

PMID32051121
PMCPMC7190071

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.