<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><volume>22(1)</volume><submitter>Yang Y</submitter><pubmed_abstract>&lt;h4>Background&lt;/h4>The identification of factors that specifically influence pathological and successful cognitive aging is a prerequisite for implementing disease prevention and promoting successful aging. However, multi-domain behavioral factors that characterize the difference between successful and pathological cognitive aging are not clear yet.&lt;h4>Methods&lt;/h4>A group of community-dwelling older adults (N = 1347, aged 70-88 years) in Beijing was recruited in this cross-sectional study, and a sub-cohort was further divided into successful cognitive aging (SCA, N = 154), mild cognitive impairment (MCI, N = 256), and cognitively normal control (CNC, N = 173) groups. Analyses of variance, regression models with the Shapley value algorithm, and structural equation model (SEM) analyses were </pubmed_abstract><journal>BMC geriatrics</journal><pagination>831</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC9628084</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>Contributions of early-life cognitive reserve and late-life leisure activity to successful and pathological cognitive aging.</pubmed_title><pmcid>PMC9628084</pmcid><pubmed_authors>Li X</pubmed_authors><pubmed_authors>Yang Y</pubmed_authors><pubmed_authors>Chen K</pubmed_authors><pubmed_authors>Zhang Z</pubmed_authors><pubmed_authors>Chen Y</pubmed_authors><pubmed_authors>Yang C</pubmed_authors></additional><is_claimable>false</is_claimable><name>Contributions of early-life cognitive reserve and late-life leisure activity to successful and pathological cognitive aging.</name><description>&lt;h4>Background&lt;/h4>The identification of factors that specifically influence pathological and successful cognitive aging is a prerequisite for implementing disease prevention and promoting successful aging. However, multi-domain behavioral factors that characterize the difference between successful and pathological cognitive aging are not clear yet.&lt;h4>Methods&lt;/h4>A group of community-dwelling older adults (N = 1347, aged 70-88 years) in Beijing was recruited in this cross-sectional study, and a sub-cohort was further divided into successful cognitive aging (SCA, N = 154), mild cognitive impairment (MCI, N = 256), and cognitively normal control (CNC, N = 173) groups. Analyses of variance, regression models with the Shapley value algorithm, and structural equation model (SEM) analyses were </description><dates><release>2022-01-01T00:00:00Z</release><publication>2022 Nov</publication><modification>2025-04-05T11:57:21.046Z</modification><creation>2025-02-19T00:31:50.289Z</creation></dates><accession>S-EPMC9628084</accession><cross_references><pubmed>36319960</pubmed><doi>10.1186/s12877-022-03530-5</doi></cross_references></HashMap>