Devising a Pace-Based Definition for "The Wall": An Observational Analysis of Marathoners' Subjective Experiences of Fatigue.


Journal

Journal of athletic training
ISSN: 1938-162X
Titre abrégé: J Athl Train
Pays: United States
ID NLM: 9301647

Informations de publication

Date de publication:
May 2020
Historique:
pubmed: 29 3 2020
medline: 22 10 2020
entrez: 29 3 2020
Statut: ppublish

Résumé

Many runners report "hitting The Wall" (HTW) during a marathon (42.2 km). However, the performance manifestation of this subjectively experienced phenomenon remains unclear. To identify a pace-based classification for HTW by integrating subjective reports of fatigue and runners' pacing profiles during a marathon. Cross-sectional study. Public race event (2018 Dublin Marathon). Eighty-three runners (28 [34%] women, 55 [66%] men, age = 41.5 ± 9.1 years, height = 1.73 ± 0.09 m, mass = 70.2 ± 10.1 kg). The pacing profiles for respondents to our postrace questionnaire that concerned the phenomenon of HTW were evaluated. Receiver operating characteristic analyses were performed on discretized outcomes of the time series of marathoners' paces during the race. Using the receiver operating characteristic analyses, we observed that runners could be classified as having experienced HTW if they ran any 1-km segment 11% slower than the average of the remaining segments of the race (accuracy = 84.6%, sensitivity = 1, specificity = 0.6) or if the standard deviation of the normalized 1-km split times exceeded 0.0532 (accuracy = 83%, sensitivity = 0.818, specificity = 0.8). Similarly, runners could be classified as having experienced HTW if they ran any 5-km segment 7.3% slower than the average of the remaining 5-km segments of the race (accuracy = 84.6%, sensitivity = 1, specificity = 0.644) or if the standard deviation of the normalized 5-km split times exceeded 0.0346 (accuracy = 82%, sensitivity = 0.909, specificity = 0.622). These pace-based criteria could be valuable to researchers evaluating HTW prevalence in cohorts for whom they lack subjective questionnaire data.

Identifiants

pubmed: 32216656
doi: 10.4085/1062-6050-243-19
pmc: PMC7249282
doi:

Types de publication

Journal Article Observational Study

Langues

eng

Sous-ensembles de citation

IM

Pagination

494-500

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Auteurs

Cailbhe Doherty (C)

School of Public Health, Physiotherapy and Sport Science, University College Dublin, Ireland.
Insight Centre for Data Analytics, University College Dublin, Ireland.

Alison Keogh (A)

School of Public Health, Physiotherapy and Sport Science, University College Dublin, Ireland.
Insight Centre for Data Analytics, University College Dublin, Ireland.

Barry Smyth (B)

Insight Centre for Data Analytics, University College Dublin, Ireland.

Peter Megyesi (P)

School of Public Health, Physiotherapy and Sport Science, University College Dublin, Ireland.

Brian Caulfield (B)

School of Public Health, Physiotherapy and Sport Science, University College Dublin, Ireland.

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