Deviation from goal pace, body temperature and body mass loss as predictors of road race performance

William M. Adams, Yuri Hosokawa, Luke N. Belval, Robert A. Huggins, Rebecca L. Stearns, Douglas J. Casa

Research output: Contribution to journalArticle

Abstract

Objectives The purpose of this study was to examine the relationship between pacing, gastrointestinal temperature (TGI), and percent body mass loss (%BML) on relative race performance during a warm weather 11.3 km road race. Design Observational study of a sample of active runners competing in the 2014 Falmouth Road Race. Methods Participants ingested a TGI pill and donned a GPS enabled watch with heart rate monitoring capabilities prior to the start of the race. Percent off predicted pace (%OFF) was calculated for seven segments of the race. Separate linear regression analyses were used to assess the relationship between pace, T​GI, and %BML on relative race performance. One-way ANOVA was used to analyse post race TGI (≥40 °C vs <40 °C) on pace and %OFF. Results Larger %BML was associated with faster finish times (R2 = 0.19, p = 0.018), faster average pace (R2 = 0.29, p = 0.012), and a greater %OFF (R2 = 0.15, p = 0.033). %OFF during the first mile (1.61 km) significantly predicted overall finish time (R2 = 0.64, p < 0.001) while %OFF during the second mile (3.22 km) (R2 change = 0.18, p < 0.001) further added to the model (R2 = 0.82, p < 0.001). Body temperature (pre race TGI and post race TGI) was not predictive of overall finish time (p > 0.05). There was a trend in a slower pace (p = 0.055) and greater %OFF (p = 0.056) in runners finishing the race with a TGI > 40 °C. Conclusions Overall, finish time was influenced by greater variations in pace during the first two miles of the race. In addition, runners who minimized fluid losses and had lower TGI were associated with meeting self-predicted goals.

Original languageEnglish
Pages (from-to)302-306
Number of pages5
JournalJournal of Science and Medicine in Sport
Volume20
Issue number3
DOIs
Publication statusPublished - 2017 Mar 1
Externally publishedYes

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Body Temperature
Weather
Observational Studies
Linear Models
Analysis of Variance
Heart Rate
Regression Analysis
Temperature

Keywords

  • Dehydration
  • Gastrointenstinal temperature
  • Hypohydration
  • Predicted running performance

ASJC Scopus subject areas

  • Orthopedics and Sports Medicine
  • Physical Therapy, Sports Therapy and Rehabilitation

Cite this

Deviation from goal pace, body temperature and body mass loss as predictors of road race performance. / Adams, William M.; Hosokawa, Yuri; Belval, Luke N.; Huggins, Robert A.; Stearns, Rebecca L.; Casa, Douglas J.

In: Journal of Science and Medicine in Sport, Vol. 20, No. 3, 01.03.2017, p. 302-306.

Research output: Contribution to journalArticle

Adams, William M. ; Hosokawa, Yuri ; Belval, Luke N. ; Huggins, Robert A. ; Stearns, Rebecca L. ; Casa, Douglas J. / Deviation from goal pace, body temperature and body mass loss as predictors of road race performance. In: Journal of Science and Medicine in Sport. 2017 ; Vol. 20, No. 3. pp. 302-306.
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abstract = "Objectives The purpose of this study was to examine the relationship between pacing, gastrointestinal temperature (TGI), and percent body mass loss ({\%}BML) on relative race performance during a warm weather 11.3 km road race. Design Observational study of a sample of active runners competing in the 2014 Falmouth Road Race. Methods Participants ingested a TGI pill and donned a GPS enabled watch with heart rate monitoring capabilities prior to the start of the race. Percent off predicted pace ({\%}OFF) was calculated for seven segments of the race. Separate linear regression analyses were used to assess the relationship between pace, T​GI, and {\%}BML on relative race performance. One-way ANOVA was used to analyse post race TGI (≥40 °C vs <40 °C) on pace and {\%}OFF. Results Larger {\%}BML was associated with faster finish times (R2 = 0.19, p = 0.018), faster average pace (R2 = 0.29, p = 0.012), and a greater {\%}OFF (R2 = 0.15, p = 0.033). {\%}OFF during the first mile (1.61 km) significantly predicted overall finish time (R2 = 0.64, p < 0.001) while {\%}OFF during the second mile (3.22 km) (R2 change = 0.18, p < 0.001) further added to the model (R2 = 0.82, p < 0.001). Body temperature (pre race TGI and post race TGI) was not predictive of overall finish time (p > 0.05). There was a trend in a slower pace (p = 0.055) and greater {\%}OFF (p = 0.056) in runners finishing the race with a TGI > 40 °C. Conclusions Overall, finish time was influenced by greater variations in pace during the first two miles of the race. In addition, runners who minimized fluid losses and had lower TGI were associated with meeting self-predicted goals.",
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