Brian S Mohlenhoff1,2,3, Philip S Insel2,4,5, R Scott Mackin1,2,5, Thomas C Neylan1,3, Derek Flenniken2,5, Rachel Nosheny2,5, Anne Richards1,3, Paul Maruff6,7, Michael W Weiner1,2,3,4. 1. Department of Psychiatry, University of California, San Francisco, San Francisco, California. 2. Center for Imaging of Neurodegenerative Diseases (CIND), San Francisco, California. 3. Mental Health Service, Department of Veterans Affairs Medical Center, San Francisco, California. 4. Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, California. 5. San Francisco Veterans Affairs Medical Center, Veterans Health Research Institute (NCIRE), San Francisco, California. 6. Florey Institute for Neuroscience and Mental Health, University of Melbourne, Parkville, Australia. 7. Cogstate, Ltd., Melbourne, Victoria, Australia.
Abstract
STUDY OBJECTIVES: To investigate interactions between high and low amounts of sleep and other predictors of cognitive performance. METHODS: 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. RESULTS: 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. CONCLUSIONS: 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.
STUDY OBJECTIVES: To investigate interactions between high and low amounts of sleep and other predictors of cognitive performance. METHODS: 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. RESULTS: 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. CONCLUSIONS: 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.
Authors: Elizabeth E Devore; Francine Grodstein; Jeanne F Duffy; Meir J Stampfer; Charles A Czeisler; Eva S Schernhammer Journal: J Am Geriatr Soc Date: 2014-05-01 Impact factor: 5.562
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Authors: Ashley F Curtis; Joseph M Dzierzewski; Matthew P Buman; Peter R Giacobbi; Beverly L Roberts; Adrienne T Aiken-Morgan; Michael Marsiske; Christina S McCrae Journal: J Clin Sleep Med Date: 2021-02-01 Impact factor: 4.062