An online training-monitoring system to prevent nonfunctional overreaching

Piacentini, Maria Francesca, and Meeusen, Romain (2015) An online training-monitoring system to prevent nonfunctional overreaching. International Journal of Sports Physiology and Performance, 10 (4). pp. 524-527.

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Abstract

Purpose: This longitudinal case study evaluated the effectiveness of an online training-monitoring system to prevent nonfunctional overreaching (NFOR).

Methods: A female master track and field athlete was followed by means of a daily online training diary (www.spartanova.com) and a weekly profile of mood state (POMS). The online diary consists of objective training data and subjective feelings reported on a 10-cm visual analog scale. Furthermore, parameters that quantify and summarize training and adaptation to training were calculated. The novelty consists in the inclusion of a specific measuring parameter tested to detect NFOR (OR score).

Results: During track-season preparation, the athlete was facing some major personal changes, and extra training stress factors increased. Despite the fact that training load (TL) did not increase, the OR score showed a 222% and then a 997% increase compared with baseline. POMS showed a 167% increase in fatigue, a 38% decrease in vigor, a 32% increase in depression scores, and a total mood increase of 22%, with a 1-wk shift compared with the OR score. A 41% decrease in TL restored the OR score and POMS to baseline values within 10 d.

Conclusion: The results demonstrate that immediate feedback obtained by "warning signals" to both athletes and coaches, based on individual baseline data, seems an optimal predictor of FOR/NFOR.

Item ID: 38751
Item Type: Article (Research - C1)
ISSN: 1555-0273
Keywords: training diary, training load, profile of mood states, master athletes, functional overreaching
Date Deposited: 16 Jun 2016 21:47
FoR Codes: 11 MEDICAL AND HEALTH SCIENCES > 1106 Human Movement and Sports Science > 110604 Sports Medicine @ 100%
SEO Codes: 97 EXPANDING KNOWLEDGE > 970111 Expanding Knowledge in the Medical and Health Sciences @ 100%
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