<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Armstrong NM</submitter><funding>National Center for Advancing Translational Sciences</funding><funding>Washington Heights–Inwood Columbia Aging Project</funding><funding>Advanced Psychometrics Methods in Cognitive Aging Research Conference</funding><funding>NCATS NIH HHS</funding><funding>NIA NIH HHS</funding><funding>NIA</funding><funding>Larry L Hillblom Foundation</funding><funding>National Institutes of Health</funding><pagination>352-363</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC8963156</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>62(3)</volume><pubmed_abstract>&lt;h4>Background and objectives&lt;/h4>Leisure activity engagement (LAE) may reduce the risk of incident dementia. However, cognitive performance may predict LAE change. We evaluated the temporal ordering of overall and subtypes of LAE (intellectual, physical, and social) and cognitive performance (global, language, memory, and visuospatial function) among non-demented older adults.&lt;h4>Research design and methods&lt;/h4>The Washington Heights-Inwood Columbia Aging Project concurrently administered a survey measure of 13 leisure activities and a neuropsychological battery every 18-24 months for up to 14 years to 5,384 racially and ethnically diverse participants. We used parallel process conditional latent growth curve models to examine temporal ordering in the overall sample and within baseline di</pubmed_abstract><journal>The Gerontologist</journal><pubmed_title>Longitudinal Relationship of Leisure Activity Engagement With Cognitive Performance Among Non-Demented, Community-Dwelling Older Adults.</pubmed_title><pmcid>PMC8963156</pmcid><funding_grant_id>R01 AG054520</funding_grant_id><funding_grant_id>P01 AG012435</funding_grant_id><funding_grant_id>UL1 TR001873</funding_grant_id><funding_grant_id>R13AG030995</funding_grant_id><funding_grant_id>RF1AG054023</funding_grant_id><funding_grant_id>UL1TR001873</funding_grant_id><funding_grant_id>R13 AG030995</funding_grant_id><funding_grant_id>P01AG07232</funding_grant_id><funding_grant_id>R01AG02629</funding_grant_id><funding_grant_id>R01AG037212</funding_grant_id><funding_grant_id>K01AG050723</funding_grant_id><funding_grant_id>RF1AG054617</funding_grant_id><funding_grant_id>K99/R00 AG047963</funding_grant_id><funding_grant_id>P30 AG066530</funding_grant_id><funding_grant_id>RF1 AG054023</funding_grant_id><funding_grant_id>2017-A-004-FEL</funding_grant_id><funding_grant_id>AG054520</funding_grant_id><funding_grant_id>K23AG058752</funding_grant_id><pubmed_authors>Simonsick EM</pubmed_authors><pubmed_authors>Casaletto K</pubmed_authors><pubmed_authors>Tom SE</pubmed_authors><pubmed_authors>Arce Renteria M</pubmed_authors><pubmed_authors>Gu Y</pubmed_authors><pubmed_authors>Stern Y</pubmed_authors><pubmed_authors>Schupf N</pubmed_authors><pubmed_authors>Armstrong NM</pubmed_authors><pubmed_authors>Zahodne LB</pubmed_authors><pubmed_authors>Rajan KB</pubmed_authors><pubmed_authors>Manly JJ</pubmed_authors><pubmed_authors>Harrati A</pubmed_authors><pubmed_authors>Fieo R</pubmed_authors><pubmed_authors>Pa J</pubmed_authors><pubmed_authors>Weuve J</pubmed_authors></additional><is_claimable>false</is_claimable><name>Longitudinal Relationship of Leisure Activity Engagement With Cognitive Performance Among Non-Demented, Community-Dwelling Older Adults.</name><description>&lt;h4>Background and objectives&lt;/h4>Leisure activity engagement (LAE) may reduce the risk of incident dementia. However, cognitive performance may predict LAE change. We evaluated the temporal ordering of overall and subtypes of LAE (intellectual, physical, and social) and cognitive performance (global, language, memory, and visuospatial function) among non-demented older adults.&lt;h4>Research design and methods&lt;/h4>The Washington Heights-Inwood Columbia Aging Project concurrently administered a survey measure of 13 leisure activities and a neuropsychological battery every 18-24 months for up to 14 years to 5,384 racially and ethnically diverse participants. We used parallel process conditional latent growth curve models to examine temporal ordering in the overall sample and within baseline di</description><dates><release>2022-01-01T00:00:00Z</release><publication>2022 Mar</publication><modification>2025-04-04T07:33:22.387Z</modification><creation>2025-04-04T07:33:22.387Z</creation></dates><accession>S-EPMC8963156</accession><cross_references><pubmed>33784376</pubmed><doi>10.1093/geront/gnab046</doi></cross_references></HashMap>