Conceptio › Archive › ClinicalTrials.gov
ClinicalTrials.gov public full text Public Domain

Sleeping Habits on Performance Following Sleep Deprivation

University of Guelph · 2023
ClinicalTrials.gov · Datasets · License: Public Domain · 2023
Open Source ↗
The goal of this randomized crossover clinical trial is to determine if habitual sleeping habits can predict endurance performance following a night of partial sleep deprivation in healthy untrained, recreationally trained, and trained cyclists (18-50 years, \~50% females). The main questions it aims to answer are: 1. Can habitual sleeping habits predict, or do different types of sleepers alter, performance outcomes following sleep deprivation? 2. Does sleep deprivation alter blood pressure, heart rate, or metabolic responses during a 20-minute time trial, and/or are these altered amongst different types of sleepers? * Participants will be asked to perform 4 performance tests (20-minute time trial), 2 for familiarization, and 2 testing visits (1 under normal sleep and 1 under partial sleep deprivation). * For 1 week prior to each testing visit, sleep will be tracked using an ActiGraph device. The investigators hypothesize that habitual early sleepers, poor sleepers, those with greater variability in sleep duration, and females will show the greatest impairments in performance following partial sleep deprivation.
Conceptio Open Archive

Analyze & explore related research in Conceptio

Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.

This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗

Related documents

Record · ID 1112608
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive