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      Sleep quality, duration, and consistency are associated with better academic performance in college students

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          Abstract

          Although numerous survey studies have reported connections between sleep and cognitive function, there remains a lack of quantitative data using objective measures to directly assess the association between sleep and academic performance. In this study, wearable activity trackers were distributed to 100 students in an introductory college chemistry class (88 of whom completed the study), allowing for multiple sleep measures to be correlated with in-class performance on quizzes and midterm examinations. Overall, better quality, longer duration, and greater consistency of sleep correlated with better grades. However, there was no relation between sleep measures on the single night before a test and test performance; instead, sleep duration and quality for the month and the week before a test correlated with better grades. Sleep measures accounted for nearly 25% of the variance in academic performance. These findings provide quantitative, objective evidence that better quality, longer duration, and greater consistency of sleep are strongly associated with better academic performance in college. Gender differences are discussed.

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          Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing

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            Sleep deprivation: Impact on cognitive performance

            Today, prolonged wakefulness is a widespread phenomenon. Nevertheless, in the field of sleep and wakefulness, several unanswered questions remain. Prolonged wakefulness can be due to acute total sleep deprivation (SD) or to chronic partial sleep restriction. Although the latter is more common in everyday life, the effects of total SD have been examined more thoroughly. Both total and partial SD induce adverse changes in cognitive performance. First and foremost, total SD impairs attention and working memory, but it also affects other functions, such as long-term memory and decision-making. Partial SD is found to influence attention, especially vigilance. Studies on its effects on more demanding cognitive functions are lacking. Coping with SD depends on several factors, especially aging and gender. Also interindividual differences in responses are substantial. In addition to coping with SD, recovering from it also deserves attention. Cognitive recovery processes, although insufficiently studied, seem to be more demanding in partial sleep restriction than in total SD.
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              Sleep, memory, and plasticity.

              Although the functions of sleep remain largely unknown, one of the most exciting hypotheses is that sleep contributes importantly to processes of memory and brain plasticity. Over the past decade, a large body of work, spanning most of the neurosciences, has provided a substantive body of evidence supporting this role of sleep in what is becoming known as sleep-dependent memory processing. We review these findings, focusing specifically on the role of sleep in (a) memory encoding, (b) memory consolidation, (c) brain plasticity, and (d) memory reconsolidation; we finish with a summary of the field and its potential future directions.
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                Author and article information

                Contributors
                jcg@mit.edu
                Journal
                NPJ Sci Learn
                NPJ Sci Learn
                NPJ Science of Learning
                Nature Publishing Group UK (London )
                2056-7936
                1 October 2019
                1 October 2019
                2019
                : 4
                : 16
                Affiliations
                [1 ]ISNI 0000 0001 2341 2786, GRID grid.116068.8, MIT Integrated Learning Initiative, Department of Brain and Cognitive Sciences, and McGovern Institute for Brain Research, , Massachusetts Institute of Technology, ; Cambridge, MA 02139 USA
                [2 ]ISNI 000000041936754X, GRID grid.38142.3c, Harvard Business School, ; Boston, MA 02163 USA
                [3 ]ISNI 0000 0001 2341 2786, GRID grid.116068.8, Department of Materials Science and Engineering Massachusetts Institute of Technology, ; Cambridge, MA 02139 USA
                Author information
                http://orcid.org/0000-0003-1281-2359
                Article
                55
                10.1038/s41539-019-0055-z
                6773696
                31583118
                6d288935-ba36-4b8a-a106-a31276ae00bf
                © The Author(s) 2019

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 20 March 2019
                : 17 July 2019
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                education
                education

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