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1. Sleep tight! Adolescent sleep quality across three distinct sleep ecologies

   https://doi.org/10.1093/emph/eoad040  

   Silva-Caballero, Andrea; Ball, Helen L; Kramer, Karen L; Bentley, Gillian R (January 2023, Evolution, Medicine, and Public Health)

   Abstract Background and objectivesGood sleep quality, associated with few arousals, no daytime sleepiness and self-satisfaction with one’s sleep, is pivotal for adolescent growth, maturation, cognition and overall health. This article aims to identify what ecological factors impact adolescent sleep quality across three distinct sleep ecologies representing a gradient of dense urbanity to small, rural environments with scarce artificial lighting and no Internet. MethodologyWe analyze variation of sleep efficiency, a quantitative measure of sleep quality—defined as the ratio of total time spent asleep to total time dedicated to sleep—in two agricultural indigenous populations and one post-industrial group in Mexico (Campeche = 44, Puebla = 51, Mexico City = 50, respectively). Data collection included actigraphy, sleep diaries, questionnaires, interviews and ethnographic observations. We fit linear models to examine sleep efficiency variation within and between groups. ResultsWe found that sleep efficiency varied significantly across sites, being highest in Mexico City (88%) and lowest in Campeche (75%). We found that variation in sleep efficiency was significantly associated with nightly exposure to light and social sleep practices. Conclusions and implicationsOur findings point toward contextual cost-benefits of sleep disruption in adolescence. We highlight the need to prioritize research on adolescent sleep quality across distinct developmental ecologies and its impact on health to improve adolescent wellbeing through evidence-based health practices. 

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2. Sleep Patterns and Sleep Alignment in Remote Teams during COVID-19

   https://doi.org/10.1145/3555217  

   Breideband, Thomas; Martinez, Gonzalo J.; Talkad Sukumar, Poorna; Caruso, Megan; D'Mello, Sidney; Striegel, Aaron D.; Mark, Gloria (November 2022, Proceedings of the ACM on Human-Computer Interaction: Computer Supported Collaborative Work)

   Working remotely from home during the COVID-19 pandemic has resulted in significant shifts and disruptions in the personal and work lives of millions of information workers and their teams. We examined how sleep patterns---an important component of mental and physical health---relates to teamwork. We used wearable sensing and daily questionnaires to examine sleep patterns, affect, and perceptions of teamwork in 71 information workers from 22 teams over a ten-week period. Participants reported delays in sleep onset and offset as well as longer sleep duration during the pandemic. A similar shift was found in work schedules, though total work hours did not change significantly. Surprisingly, we found that more sleep was negatively related to positive affect, perceptions of teamwork, and perceptions of team productivity. However, a greater misalignment in the sleep patterns of members in a team predicted positive affect and teamwork after accounting for individual differences in sleep preferences. A follow-up analysis of exit interviews with participants revealed team-working conventions and collaborative mindsets as prominent themes that might help explain some of the ways that misalignment in sleep can affect teamwork. We discuss implications of sleep and sleep misalignment in work-from-home contexts with an eye towards leveraging sleep data to facilitate remote teamwork. 

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3. Differential roles of sleep spindles and sleep slow oscillations in memory consolidation

   https://doi.org/10.1371/journal.pcbi.1006322  

   Wei, Yina; Krishnan, Giri P.; Komarov, Maxim; Bazhenov, Maxim (July 2018, PLOS Computational Biology)

   Battaglia, Francesco P. (Ed.)
4. Sleep and human cognitive development

   https://doi.org/10.1016/j.smrv.2021.101472  

   Mason, Gina M.; Lokhandwala, Sanna; Riggins, Tracy; Spencer, Rebecca M.C. (June 2021, Sleep Medicine Reviews)

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5. The Wave Model of Sleep Dynamics and an Invariant Relationship between NonREM and REM Sleep

   https://doi.org/10.3390/clockssleep5040046  

   Kharchenko, Vasili; Zhdanova, Irina V (December 2023, Clocks & Sleep)

   Explaining the complex structure and dynamics of sleep, which consist of alternating and physiologically distinct nonREM and REM sleep episodes, has posed a significant challenge. In this study, we demonstrate that a single wave model concept captures the distinctly different overnight dynamics of the four primary sleep measures—the duration and intensity of nonREM and REM sleep episodes—with high quantitative precision for both regular and extended sleep. The model also accurately predicts how these polysomnographic measures respond to sleep deprivation or abundance. Furthermore, the model passes the ultimate test, as its prediction leads to a novel experimental finding—an invariant relationship between the duration of nonREM episodes and the intensity of REM episodes, the product of which remains constant over consecutive sleep cycles. These results suggest a functional unity between nonREM and REM sleep, establishing a comprehensive and quantitative framework for understanding normal sleep and sleep disorders. 

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