Pre‐Season Energy Deficiency Predicts Poorer Performance During a Competitive Season in Collegiate Female Long‐Distance Runners

Female distance runners are at a high risk for chronic energy deficiency (ED). ED during predominantly high-volume and/or high-intensity training phases may compromise performance. The relationship between pre-season energy status and running performance in female runners across a season is unclear. To test if energy status as defined by resting metabolic rate ratio (RMR<sub>ratio</sub>) is associated with running performance, female collegiate distance runners (18-25 yr; n = 38) were assessed across 10-12 wks. Energy status, body composition, and 5 km time trial (measure of performance) were assessed pre- and post-competitive season. Runners were categorized at baseline based on pre-season measured-to-Cunningham<sub>1991</sub>-predicted RMR<sub>ratio</sub>: metabolically suppressed (SUP: RMR<sub>ratio</sub> < 0.92, n = 12) and energy replete (NSUP: RMR<sub>ratio</sub> ≥ 0.92, n = 26). Repeated measures ANOVA tested effects of pre-season RMR<sub>ratio</sub> groups, time, and group*time on performance. Linear regression analysis tested whether factors (body composition or total triiodothyronine, TT<sub>3</sub>) predicted performance across the season. Twenty-one runners (19.6 ± 0.2 yr, 20.2 ± 0.4 kg/m<sup>2</sup>) completed pre- and post-season performance runs. Groups had similar body mass, body mass index, percent body fat, and lean body mass. ANOVA revealed a significant group effect of RMR<sub>ratio</sub> on running performance, but no effect of time or group*time. SUP had slower 5 km time trial performance compared to NSUP (22.4 vs. 20.4 min, p = 0.04). Controlling for post-season VO<sub>2</sub>max, pre-season TT<sub>3</sub> predicted post-season 5 km times (R<sup>2</sup> = 0.614, p = 0.001). Pre-season energy deficient female runners exhibited poorer running performance during a collegiate competitive season compared to pre-season energy replete runners. Early detection of metabolic compensation in runners may be necessary for optimal performance across a competitive season.

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Publication Details

Journal
European Journal of Sport Science
Published
2025-02-05
DOI
https://doi.org/10.1002/ejsc.12261
Citations
4
Primary Topic
Muscle metabolism and nutrition
Type
article
Field-Weighted Citation Impact
4.61
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article

Pre‐Season Energy Deficiency Predicts Poorer Performance During a Competitive Season in Collegiate Female Long‐Distance Runners

Ana Carla Chierighini Salamunes, Mary Jane De Souza, Nancy I. Williams, Heather C. M. Allaway et al.
4 citations
European Journal of Sport Science
Muscle metabolism and nutrition
4.61
article

Pre‐Season Energy Deficiency Predicts Poorer Performance During a Competitive Season in Collegiate Female Long‐Distance Runners

Ana Carla Chierighini Salamunes, Mary Jane De Souza, Nancy I. Williams, Heather C. M. Allaway, Emily A. Lundstrom
article en
4 citations

Abstract

Female distance runners are at a high risk for chronic energy deficiency (ED). ED during predominantly high-volume and/or high-intensity training phases may compromise performance. The relationship between pre-season energy status and running performance in female runners across a season is unclear. To test if energy status as defined by resting metabolic rate ratio (RMR<sub>ratio</sub>) is associated with running performance, female collegiate distance runners (18-25 yr; n = 38) were assessed across 10-12 wks. Energy status, body composition, and 5 km time trial (measure of performance) were assessed pre- and post-competitive season. Runners were categorized at baseline based on pre-season measured-to-Cunningham<sub>1991</sub>-predicted RMR<sub>ratio</sub>: metabolically suppressed (SUP: RMR<sub>ratio</sub> < 0.92, n = 12) and energy replete (NSUP: RMR<sub>ratio</sub> ≥ 0.92, n = 26). Repeated measures ANOVA tested effects of pre-season RMR<sub>ratio</sub> groups, time, and group*time on performance. Linear regression analysis tested whether factors (body composition or total triiodothyronine, TT<sub>3</sub>) predicted performance across the season. Twenty-one runners (19.6 ± 0.2 yr, 20.2 ± 0.4 kg/m<sup>2</sup>) completed pre- and post-season performance runs. Groups had similar body mass, body mass index, percent body fat, and lean body mass. ANOVA revealed a significant group effect of RMR<sub>ratio</sub> on running performance, but no effect of time or group*time. SUP had slower 5 km time trial performance compared to NSUP (22.4 vs. 20.4 min, p = 0.04). Controlling for post-season VO<sub>2</sub>max, pre-season TT<sub>3</sub> predicted post-season 5 km times (R<sup>2</sup> = 0.614, p = 0.001). Pre-season energy deficient female runners exhibited poorer running performance during a collegiate competitive season compared to pre-season energy replete runners. Early detection of metabolic compensation in runners may be necessary for optimal performance across a competitive season.

European Journal of Sport ScienceVol. 25(3)
Louisiana State University (US), Pennsylvania State University (US)
Openalex Percentile: Top 7%
Muscle metabolism and nutrition
4.61
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