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Peer Review #1 of "Barefoot running does not affect simple reaction time: an exploratory study (v0.1)"

2018· peer-review· en· W4251708843 on OpenAlexaff
M DeBeliso

Bibliographic record

Venuenot available
Typepeer-review
Languageen
FieldEngineering
TopicLower Extremity Biomechanics and Pathologies
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsBarefootSimple (philosophy)Affect (linguistics)Exploratory researchComputer sciencePsychologyPhysical medicine and rehabilitationMedicineCommunicationSociologyPhilosophy

Abstract

fetched live from OpenAlex

Background.Converging evidence comparing barefoot (BF) and shod (SH) running highlights differences in foot-strike patterns and somatosensory feedback, among others.Anecdotal evidence from SH runners attempting BF running suggests a greater attentional demand may be experienced during BF running.However, little work to date has examined whether there is an attentional cost of BF versus SH running.Objective.This exploratory study aimed to examine whether an acute bout of BF running would impact simple reaction time (SRT) compared to SH running, in a sample of runners naïve to BF running. Methods.Eight male distance runners completed SRT testing during 10 minutes of BF or SH treadmill running at 70% maximal aerobic speed (17.9 ± 1.4 km h -1 ).To test SRT, participants were required to press a hand-held button in response to the flash of a light bulb placed in the center of their visual field.SRT was tested at 1-minute intervals during running.BF and SH conditions were completed in a pseudorandomized and counterbalanced crossover fashion.SRT was defined as the time elapsed between the light bulb flash and the button press.SRT errors were also recorded and were defined as the number of trials in which a button press was not recorded in response to the light bulb flash. Results.Overall, SRT later in the exercise bouts showed a statistically significant increase compared to earlier (p < 0.05).Statistically significant increases in SRT were present at 7 minutes versus 5 minutes (0.29 ± 0.02 s vs. 0.27 ± 0.02 s, p < 0.05) and at 9 minutes versus 2 minutes (0.29 ± 0.03 s vs. 0.27 ± 0.03 s, p < 0.05).However, BF running did not influence this increase in SRT (p > 0.05) or the number of SRT errors (17.6 ± 6.6 trials vs. 17.0 ± 13.0 trials, p > 0.05).Discussion.In a sample of distance runners naïve to BF running, there was no statistically significant difference in SRT or SRT errors during acute bouts of BF and SH running.We interpret these results to mean that BF running does not have a greater attentional cost compared to SH running during a SRT task throughout treadmill running.Literature suggests that stride-to-stride gait modulation during running may occur predominately via mechanisms that preclude conscious perception, thus potentially attenuating effects of increased somatosensory feedback experienced during BF running.Future research should explore the present experimental paradigm in a larger sample using over-ground running trials, as well as employing different tests of attention.

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)0.025
metaresearch head score (Gemma)0.285
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: Evaluation · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.975
Threshold uncertainty score0.667

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0250.285
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0040.002
Science and technology studies0.0050.002
Scholarly communication0.0060.003
Open science0.0040.004
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.1990.066

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 head0.057
GPT teacher head0.321
Teacher spread0.264 · 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.

Study designNot applicable
DomainEvaluation
GenreOther

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".

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Citations0
Published2018
Admission routes1
Has abstractyes

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