Toward a Standardized Framework for Assessing Athletes’ Sleep: Determinants, Tools, and Practical Applications

This review aims to provide a critical appraisal of the principal methods used for sleep assessment in athletic populations. Polysomnography remains the reference method for diagnosis and sleep staging, but its practical application is constrained in athletes. For season-long monitoring, actigraphy coupled with a standardized sleep diary serves as the cornerstone for assessing sleep duration and timing, with explicit reporting of means and intra-individual variability (sleep onset, mid-sleep, total sleep time). Consumer wearables broaden accessibility yet show inconsistent accuracy for sleep staging, whereas nearables are well suited for unobtrusive long-term monitoring and screening. Emerging technologies such as wearable EEG and multi-sensor patches demonstrate rapid progress toward enabling multi-night staging and the assessment of selected micro-indices in free-living settings. Method selection should be guided by macrostructure (initiation, duration, continuity, stages) and microstructure (slow waves, spindles, CAP, REM phasic activity). This review provides an evidence-informed decision algorithm to guide tool selection in both research and applied sports settings. Its application is illustrated using two real-world case scenarios.

Authors

Institutions

Publication Details

Journal
Current Sleep Medicine Reports
Published
2026-03-26
DOI
https://doi.org/10.1007/s40675-026-00356-0
Primary Topic
Sleep and related disorders
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Toward a Standardized Framework for Assessing Athletes’ Sleep: Determinants, Tools, and Practical Applications

Gregory C. Bogdanis, Christoforos D. Giannaki, Angelos Vlahoyiannis, G Hadjigeorgiou et al.
Current Sleep Medicine Reports
Sleep and related disorders
article

Toward a Standardized Framework for Assessing Athletes’ Sleep: Determinants, Tools, and Practical Applications

Gregory C. Bogdanis, Christoforos D. Giannaki, Angelos Vlahoyiannis, G Hadjigeorgiou, Panagiotis Bargiotas, Giorgos K. Sakkas
article en

Abstract

This review aims to provide a critical appraisal of the principal methods used for sleep assessment in athletic populations. Polysomnography remains the reference method for diagnosis and sleep staging, but its practical application is constrained in athletes. For season-long monitoring, actigraphy coupled with a standardized sleep diary serves as the cornerstone for assessing sleep duration and timing, with explicit reporting of means and intra-individual variability (sleep onset, mid-sleep, total sleep time). Consumer wearables broaden accessibility yet show inconsistent accuracy for sleep staging, whereas nearables are well suited for unobtrusive long-term monitoring and screening. Emerging technologies such as wearable EEG and multi-sensor patches demonstrate rapid progress toward enabling multi-night staging and the assessment of selected micro-indices in free-living settings. Method selection should be guided by macrostructure (initiation, duration, continuity, stages) and microstructure (slow waves, spindles, CAP, REM phasic activity). This review provides an evidence-informed decision algorithm to guide tool selection in both research and applied sports settings. Its application is illustrated using two real-world case scenarios.

Current Sleep Medicine ReportsVol. 12(1)
University of Thessaly (GR), University of Nicosia (CY), University of Cyprus (CY), General Hospital of Serres (GR)
Openalex Percentile: Top 11%
Sleep and related disorders
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.