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Insufficient Sleep and Sleep Deprivation01:13

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REST, Exploring Sleep Patterns and Influencing Factors in Elite Female Football Athletes.

Matthias Boeker1,2, Andreas Alexandersen3, Vajira Thambawita4

  • 1Simulamet, Oslo, Norway. matthias@simula.no.

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This summary is machine-generated.

This study introduces a new dataset on elite female football players, tracking sleep, lifestyle, and performance. Findings can help personalize training to enhance athlete recovery and well-being.

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Area of Science:

  • Sports Science
  • Exercise Physiology
  • Sleep Science

Background:

  • Sleep is vital for athletic recovery, impacting physical and mental performance.
  • Elite athletes face numerous factors affecting sleep quality, including training load and lifestyle choices.
  • Understanding these factors is key to optimizing athlete well-being and performance.

Purpose of the Study:

  • To present a novel dataset on elite female football athletes.
  • To investigate the relationship between sleep, lifestyle factors (caffeine, screen time), and athletic performance.
  • To provide data for developing personalized training and recovery strategies.

Main Methods:

  • Collected 17 days of data from 21 elite female football athletes.
  • Utilized actigraphy for sleep monitoring.
  • Recorded daily well-being, caffeine consumption, screen time, and hand grip strength.

Main Results:

  • A comprehensive dataset was created, linking sleep patterns with lifestyle and performance metrics.
  • The data allows for detailed analysis of factors influencing athlete recovery.
  • Potential for identifying correlations between specific lifestyle choices and performance outcomes.

Conclusions:

  • The dataset offers a valuable resource for sports scientists and coaches.
  • It facilitates research into optimizing sleep and recovery for elite female athletes.
  • Personalized training models can be developed to enhance athletic performance and overall well-being.