<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Hanlon P</submitter><funding>Versus Arthritis</funding><funding>Medical Research Council</funding><funding>Wellcome Trust</funding><pagination>e1003931</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC8901063</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>19(3)</volume><pubmed_abstract>&lt;h4>Background&lt;/h4>Cohorts such as UK Biobank are increasingly used to study multimorbidity; however, there are concerns that lack of representativeness may lead to biased results. This study aims to compare associations between multimorbidity and adverse health outcomes in UK Biobank and a nationally representative sample.&lt;h4>Methods and findings&lt;/h4>These are observational analyses of cohorts identified from linked routine healthcare data from UK Biobank participants (n = 211,597 from England, Scotland, and Wales with linked primary care data, age 40 to 70, mean age 56.5 years, 54.6% women, baseline assessment 2006 to 2010) and from the Secure Anonymised Information Linkage (SAIL) databank (n = 852,055 from Wales, age 40 to 70, mean age 54.2, 50.0% women, baseline January 2011). Multimor</pubmed_abstract><journal>PLoS medicine</journal><pubmed_title>Associations between multimorbidity and adverse health outcomes in UK Biobank and the SAIL Databank: A comparison of longitudinal cohort studies.</pubmed_title><pmcid>PMC8901063</pmcid><funding_grant_id>21970</funding_grant_id><funding_grant_id>MR/S021949/1</funding_grant_id><funding_grant_id>201492/Z/16/Z</funding_grant_id><pubmed_authors>Lewsey J</pubmed_authors><pubmed_authors>Jani BD</pubmed_authors><pubmed_authors>Mair FS</pubmed_authors><pubmed_authors>Nicholl B</pubmed_authors><pubmed_authors>McAllister DA</pubmed_authors><pubmed_authors>Hanlon P</pubmed_authors></additional><is_claimable>false</is_claimable><name>Associations between multimorbidity and adverse health outcomes in UK Biobank and the SAIL Databank: A comparison of longitudinal cohort studies.</name><description>&lt;h4>Background&lt;/h4>Cohorts such as UK Biobank are increasingly used to study multimorbidity; however, there are concerns that lack of representativeness may lead to biased results. This study aims to compare associations between multimorbidity and adverse health outcomes in UK Biobank and a nationally representative sample.&lt;h4>Methods and findings&lt;/h4>These are observational analyses of cohorts identified from linked routine healthcare data from UK Biobank participants (n = 211,597 from England, Scotland, and Wales with linked primary care data, age 40 to 70, mean age 56.5 years, 54.6% women, baseline assessment 2006 to 2010) and from the Secure Anonymised Information Linkage (SAIL) databank (n = 852,055 from Wales, age 40 to 70, mean age 54.2, 50.0% women, baseline January 2011). Multimor</description><dates><release>2022-01-01T00:00:00Z</release><publication>2022 Mar</publication><modification>2025-04-22T22:00:06.713Z</modification><creation>2025-04-06T03:57:49.295Z</creation></dates><accession>S-EPMC8901063</accession><cross_references><pubmed>35255092</pubmed><doi>10.1371/journal.pmed.1003931</doi></cross_references></HashMap>