<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Mohlenhoff BS</submitter><funding>NIA NIH HHS</funding><pagination>1587-1594</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC6134252</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>14(9)</volume><pubmed_abstract>&lt;h4>Study objectives&lt;/h4>To investigate interactions between high and low amounts of sleep and other predictors of cognitive performance.&lt;h4>Methods&lt;/h4>We used four cognitive tests to determine whether sleep time interacted with age, personal history of a memory problem, parental history of a memory problem, or personal concerns about memory and were associated with cognitive performance. Data were collected from an internet-based cohort study. We used an ordinary least squares regression with restricted cubic splines, controlling for demographic variables and comorbidities.&lt;h4>Results&lt;/h4>We found significant nonlinear interactions between (1) total sleep time and age and (2) total sleep time and personal history of a memory problem and cognitive performance. Short and long sleep durations and self-reported memory complaints were associated with poorer performance on a test of attention and this was true to a greater degree in younger and older adults. A repeat analysis excluding subjects reporting dementia was significant only for the test of attention.&lt;h4>Conclusions&lt;/h4>These results extend existing data on sleep duration and cognition across the lifespan by combining in a single study the results from four specific cognitive tests, both younger and older adults, and four self-reported risk factors for cognitive impairment. Longitudinal studies with biomarkers should be undertaken to determine whether causal mechanisms, such as inflammation or amyloid buildup, account for these associations.</pubmed_abstract><journal>Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine</journal><pubmed_title>Total Sleep Time Interacts With Age to Predict Cognitive Performance Among Adults.</pubmed_title><pmcid>PMC6134252</pmcid><funding_grant_id>K01 AG055692</funding_grant_id><pubmed_authors>Mackin RS</pubmed_authors><pubmed_authors>Richards A</pubmed_authors><pubmed_authors>Weiner MW</pubmed_authors><pubmed_authors>Maruff P</pubmed_authors><pubmed_authors>Mohlenhoff BS</pubmed_authors><pubmed_authors>Flenniken D</pubmed_authors><pubmed_authors>Insel PS</pubmed_authors><pubmed_authors>Neylan TC</pubmed_authors><pubmed_authors>Nosheny R</pubmed_authors></additional><is_claimable>false</is_claimable><name>Total Sleep Time Interacts With Age to Predict Cognitive Performance Among Adults.</name><description>&lt;h4>Study objectives&lt;/h4>To investigate interactions between high and low amounts of sleep and other predictors of cognitive performance.&lt;h4>Methods&lt;/h4>We used four cognitive tests to determine whether sleep time interacted with age, personal history of a memory problem, parental history of a memory problem, or personal concerns about memory and were associated with cognitive performance. Data were collected from an internet-based cohort study. We used an ordinary least squares regression with restricted cubic splines, controlling for demographic variables and comorbidities.&lt;h4>Results&lt;/h4>We found significant nonlinear interactions between (1) total sleep time and age and (2) total sleep time and personal history of a memory problem and cognitive performance. Short and long sleep durations and self-reported memory complaints were associated with poorer performance on a test of attention and this was true to a greater degree in younger and older adults. A repeat analysis excluding subjects reporting dementia was significant only for the test of attention.&lt;h4>Conclusions&lt;/h4>These results extend existing data on sleep duration and cognition across the lifespan by combining in a single study the results from four specific cognitive tests, both younger and older adults, and four self-reported risk factors for cognitive impairment. Longitudinal studies with biomarkers should be undertaken to determine whether causal mechanisms, such as inflammation or amyloid buildup, account for these associations.</description><dates><release>2018-01-01T00:00:00Z</release><publication>2018 Sep</publication><modification>2024-11-15T21:46:32.502Z</modification><creation>2019-08-04T07:03:23Z</creation></dates><accession>S-EPMC6134252</accession><cross_references><pubmed>30176964</pubmed><doi>10.5664/jcsm.7342</doi></cross_references></HashMap>