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A sleep intervention study comparing effects of sleep restriction and fragmentation on sleep and vigilance and the need for recovery.

Author: DeminArtem V, FatekJoanna, FietzeIngo, GlosMartin, LaharnarNaima, LedererKatharina, PenzelThomas, SuvorovAlexander V, ZemannMaria

Comparative StudyResearch that compares multiple groups/interventions to determine differences/similarities in outcomes/characteristics.
Journal ArticleAn article published in an academic or professional journal that reports original research or scholarly analysis.
Randomized Controlled TrialA clinical trial that randomly assigns participants to treatment and control groups to evaluate the effects of an intervention.
Research Support, Non-U.S. Gov'tResearch funding provided by government agencies outside the United States.

Overview

This study aims to investigate the effects of two types of short-term sleep disruptions: intermittent sleep fragmentation (being frequently woken up) and partial sleep restriction (getting less sleep overall). The study will examine how these disruptions affect thinking, performance, and health, and how long it takes for people to recover from these sleep disturbances.
Paper Details　
Original Abstract of the Article :
Sleep deprivation is present not only in sleep disorders but also in numerous high demanding jobs and negatively affects cognition, performance and health. We developed a study design to distinguish the effects and need for recovery of two short-term disturbances - intermittent sleep fragmentation a...See full text at original site
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引用元：
https://doi.org/10.1016/j.physbeh.2019.112794

データ提供：米国国立医学図書館（NLM）

Sleep Disruption: Deciphering the Effects of Fragmentation and Restriction

Sleep deprivation, a prevalent issue in modern society, can significantly impact cognition, performance, and overall health. This study investigates the effects of two types of short-term sleep disturbances: intermittent sleep fragmentation and partial sleep restriction. The researchers developed a controlled study design to distinguish the effects of each type of disruption on sleep, vigilance, and the need for recovery. This research contributes to a better understanding of the complex interplay between sleep, vigilance, and recovery, providing valuable insights into the physiological and cognitive consequences of different sleep disturbances.

Sleep Disruption: A Complex Landscape of Effects

The study's findings offer a nuanced understanding of the effects of different types of sleep disruption. The researchers' ability to differentiate between the impact of fragmentation and restriction provides crucial insights into the specific mechanisms by which these disturbances impact sleep, vigilance, and recovery. This research is a valuable contribution to the growing field of sleep science, providing a more comprehensive framework for understanding the complex relationship between sleep and health.

A Deeper Understanding of Sleep: Protecting Our Health

Imagine a world where we fully understand the delicate balance of sleep and its impact on our health. This research brings us closer to that reality, providing a deeper understanding of the effects of different types of sleep disruption. By gaining a better grasp of these complex relationships, we can develop more effective strategies to combat sleep deprivation and promote healthy sleep habits.

Dr.Camel's Conclusion

Sleep, like a desert oasis, provides a vital respite from the demands of life. This research, like a map of the desert, guides us through the complex landscape of sleep disruption, revealing the unique effects of fragmentation and restriction. By understanding these intricate pathways, we can protect our precious oasis of sleep and navigate the desert of life with greater energy and clarity.

Date :
  1. Date Completed 2021-03-04
  2. Date Revised 2021-03-04
Further Info :

Pubmed ID

31874181

DOI: Digital Object Identifier

10.1016/j.physbeh.2019.112794

Related Literature

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・Effective treatment of sleep disorders
SNS
PICO Info
in preparation
Languages

English

Positive IndicatorAn AI analysis index that serves as a benchmark for how positive the results of the study are. Note that it is a benchmark and requires careful interpretation and consideration of different perspectives.

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