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Associations between multimorbidity and adverse health outcomes in UK Biobank and the SAIL Databank: A comparison of longitudinal cohort studies.

Peter HanlonBhautesh Dinesh JaniBarbara I NichollJim LewseyDavid A McAllisterFrances S Mair
Published in: PLoS medicine (2022)
In this study, we observed that UK Biobank accurately estimates relative risk of mortality, unscheduled hospitalisation, and MACE associated with LTC counts ≤3. However, for counts ≥4, and for some LTC combinations, estimates of magnitude of association from UK Biobank are likely to be conservative. Researchers should be mindful of these limitations of UK Biobank when conducting and interpreting analyses of multimorbidity. Nonetheless, the richness of data available in UK Biobank does offers opportunities to better understand multimorbidity, particularly where complementary data sources less susceptible to selection bias can be used to inform and qualify analyses of UK Biobank.
Keyphrases
  • cross sectional
  • type diabetes
  • big data
  • cardiovascular disease
  • peripheral blood
  • drinking water
  • risk factors
  • artificial intelligence