<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Watling CZ</submitter><funding>World Cancer Research Fund</funding><funding>Nuffield Department of Population Health Intermediate Fellowship</funding><funding>Oxford and Thames Valley NIHR Applied Research Centre and the Ramon y Cajal Fellowship</funding><funding>Girdlers’ New Zealand Health Research Council Fellowship</funding><funding>Cancer Research UK</funding><funding>Clarendon Scholarship</funding><funding>Medical Research Council</funding><funding>Nuffield Department of Population Health</funding><funding>Wellcome Trust</funding><pagination>115-124</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC9899744</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>62(1)</volume><pubmed_abstract>&lt;h4>Purpose&lt;/h4>Circulating insulin-like growth factor-I (IGF-I) concentrations have been positively associated with risk of several common cancers and inversely associated with risk of bone fractures. Intakes of some foods have been associated with increased circulating IGF-I concentrations; however, evidence remains inconclusive. Our aim was to assess cross-sectional associations of food group intakes with circulating IGF-I concentrations in the UK Biobank.&lt;h4>Methods&lt;/h4>At recruitment, the UK Biobank participants reported their intake of commonly consumed foods. From these questions, intakes of total vegetables, fresh fruit, red meat, processed meat, poultry, oily fish, non-oily fish, and cheese were estimated. Serum IGF-I concentrations were measured in blood samples collected at recr</pubmed_abstract><journal>European journal of nutrition</journal><pubmed_title>Associations between food group intakes and circulating insulin-like growth factor-I in the UK Biobank: a cross-sectional analysis.</pubmed_title><pmcid>PMC9899744</pmcid><funding_grant_id>C60192/A28516</funding_grant_id><funding_grant_id>MC_PC_17228</funding_grant_id><funding_grant_id>19/031</funding_grant_id><funding_grant_id>205212</funding_grant_id><funding_grant_id>29017</funding_grant_id><funding_grant_id>2019/1953</funding_grant_id><funding_grant_id>MR/M012190/1</funding_grant_id><funding_grant_id>MC_UU_00019/4</funding_grant_id><funding_grant_id>205212/Z/16/Z</funding_grant_id><funding_grant_id>MC_UU_00019/2</funding_grant_id><funding_grant_id>MC_QA137853</funding_grant_id><funding_grant_id>C8221/A29017</funding_grant_id><pubmed_authors>Watling CZ</pubmed_authors><pubmed_authors>Watts EL</pubmed_authors><pubmed_authors>Perez-Cornago A</pubmed_authors><pubmed_authors>Knuppel A</pubmed_authors><pubmed_authors>Key TJ</pubmed_authors><pubmed_authors>Kelly RK</pubmed_authors><pubmed_authors>Schmidt JA</pubmed_authors><pubmed_authors>Piernas C</pubmed_authors><pubmed_authors>Tong TYN</pubmed_authors><pubmed_authors>Travis RC</pubmed_authors><pubmed_authors>Tin Tin S</pubmed_authors></additional><is_claimable>false</is_claimable><name>Associations between food group intakes and circulating insulin-like growth factor-I in the UK Biobank: a cross-sectional analysis.</name><description>&lt;h4>Purpose&lt;/h4>Circulating insulin-like growth factor-I (IGF-I) concentrations have been positively associated with risk of several common cancers and inversely associated with risk of bone fractures. Intakes of some foods have been associated with increased circulating IGF-I concentrations; however, evidence remains inconclusive. Our aim was to assess cross-sectional associations of food group intakes with circulating IGF-I concentrations in the UK Biobank.&lt;h4>Methods&lt;/h4>At recruitment, the UK Biobank participants reported their intake of commonly consumed foods. From these questions, intakes of total vegetables, fresh fruit, red meat, processed meat, poultry, oily fish, non-oily fish, and cheese were estimated. Serum IGF-I concentrations were measured in blood samples collected at recr</description><dates><release>2023-01-01T00:00:00Z</release><publication>2023 Feb</publication><modification>2026-07-14T15:45:43.372Z</modification><creation>2025-04-20T03:39:02.832Z</creation></dates><accession>S-EPMC9899744</accession><cross_references><pubmed>35906357</pubmed><doi>10.1007/s00394-022-02954-4</doi></cross_references></HashMap>