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Record W4413815377 · doi:10.1016/j.jsams.2025.08.008

Effects of acute sleep deprivation and extreme fatigue on cognitive performance and cardiac autonomic function during an expedition adventure race: a case report

2025· article· en· W4413815377 on OpenAlexaff
Laura K. Fitzgibbon‐Collins, Ali Boolani, Omkaar Persaud, Daniele Chirico, Elizabeth Jenkins, Jyotpal Singh, J. Patrick Neary, Julia O. Totosy de Zepetnek

Bibliographic record

VenueJournal of science and medicine in sport · 2025
Typearticle
Languageen
FieldMedicine
TopicHeart Rate Variability and Autonomic Control
Canadian institutionsMcMaster UniversityUniversity of OttawaUniversity of ReginaWestern University
Fundersnot available
KeywordsSleep deprivationRace (biology)Autonomic functionAdventureCognitionEffects of sleep deprivation on cognitive performancePsychologySleep (system call)MedicinePhysical medicine and rehabilitationHeart rate variabilityInternal medicineNeuroscienceHeart rateComputer scienceArtificial intelligenceBiology

Abstract

fetched live from OpenAlex

Four ultra-endurance athletes (3M/1F) navigated ~800 km via trekking, biking, and paddling using topographical maps and compass, sleeping ~6 h each. Mood, cognitive performance, and heart rate variability were measured at baseline (PRE), post-race (POST), and 18-h post-race (POST18). Decreased anxiety (ΔMdn = 6.5, p = 0.047) along with increased fatigue (ΔMdn = 13.5, p = 0.02) and confusion (ΔMdn = 5.5, p = 0.02) at POST, and improved reaction time (ΔMdn = 0.12 ms, p = 0.04) at POST18 were observed. Findings suggest that extreme exertion and acute sleep-deprivation can elevate psychological stress; however, improvements 18-h post-race indicates recovery. Findings may have applications for professionals operating under extreme stress, e.g., military, healthcare professionals, disaster response, and elite sport.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0020.002
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.012
GPT teacher head0.286
Teacher spread0.274 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designCase report
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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