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Total Sleep Time Interacts With Age to Predict Cognitive Performance Among Adults.

Overview of attention for article published in Journal of Clinical Sleep Medicine, September 2018
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (88th percentile)
  • High Attention Score compared to outputs of the same age and source (84th percentile)

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2 news outlets
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16 Dimensions

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Title
Total Sleep Time Interacts With Age to Predict Cognitive Performance Among Adults.
Published in
Journal of Clinical Sleep Medicine, September 2018
DOI 10.5664/jcsm.7342
Pubmed ID
Authors

Brian S Mohlenhoff, Philip S Insel, R Scott Mackin, Thomas C Neylan, Derek Flenniken, Rachel Nosheny, Anne Richards, Paul Maruff, Michael W Weiner

Abstract

To investigate interactions between high and low amounts of sleep and other predictors of cognitive performance. 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. 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. 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.

X Demographics

X Demographics

The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 53 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 53 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 7 13%
Student > Ph. D. Student 6 11%
Researcher 5 9%
Other 3 6%
Student > Doctoral Student 3 6%
Other 5 9%
Unknown 24 45%
Readers by discipline Count As %
Psychology 9 17%
Nursing and Health Professions 4 8%
Neuroscience 4 8%
Medicine and Dentistry 4 8%
Agricultural and Biological Sciences 2 4%
Other 2 4%
Unknown 28 53%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 21. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 08 March 2024.
All research outputs
#1,796,069
of 25,378,284 outputs
Outputs from Journal of Clinical Sleep Medicine
#341
of 2,409 outputs
Outputs of similar age
#37,090
of 349,954 outputs
Outputs of similar age from Journal of Clinical Sleep Medicine
#9
of 53 outputs
Altmetric has tracked 25,378,284 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,409 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 29.9. This one has done well, scoring higher than 85% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 349,954 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 88% of its contemporaries.
We're also able to compare this research output to 53 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.