Prediction of functional overreaching from subjective fatigue and readiness to train after only 3 days of cycling

Twan Ten Haaf, Selma van Staveren, Erik Oudenhoven, Maria F. Piacentini, Romain Meeusen, Bart Roelands, Leo Koenderman, Hein A.M. Daanen, Carl Foster Jr., Jos J. De Koning

Research output: Contribution to JournalArticleAcademicpeer-review

Abstract

Purpose: To investigate whether monitoring of easily measurable stressors and symptoms can be used to distinguish early between acute fatigue (AF) and functional overreaching (FOR). Methods: The study included 30 subjects (11 female, 19 male; age 40.8 ± 10.8 y, VO2max 51.8 ± 6.3 mL kg-1 min-1) who participated in an 8-d cycling event over 1300 km with 18,500 climbing meters. Performance was measured before and after the event using a maximal incremental test. Subjects with decreased performance after the event were classified as FOR, others as AF. Mental and physical well-being, internal training load, resting heart rate, temperature, and mood were measured daily during the event. Differences between AF and FOR were analyzed using mixed-model ANOVAs. Logistic regression was used to determine the best predictors of FOR after 3 and 6 d of cycling. Results: Fifteen subjects were classified as FOR and 14 as AF (1 excluded). Although total group changes were observed during the event, no differences between AF and FOR were found for individual monitoring parameters. The combination of questionnaire-based changes in fatigue and readiness to train after 3 d cycling correctly predicted 78% of the subjects as AF or FOR (sensitivity = 79%, specificity = 77%). Conclusions: Monitoring changes in fatigue and readiness to train, using simple visual analog scales, can be used to identify subjects likely to become FOR after only 3 d of cycling. Hence, we encourage athlete support staff to monitor not only fatigue but also the subjective integrated mental and physical readiness to perform.

Original languageEnglish
Pages (from-to)S2-87-S2-94
JournalInternational Journal of Sports Physiology and Performance
Volume12
Issue numberSuppl. 2
DOIs
Publication statusPublished - 1 Apr 2017

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Fatigue
Visual Analog Scale
Athletes
Analysis of Variance
Heart Rate
Logistic Models
Sensitivity and Specificity
Temperature

Keywords

  • Internal training load
  • Mood disturbance
  • Overtraining
  • POMS
  • Resting heart rate

Cite this

Ten Haaf, Twan ; van Staveren, Selma ; Oudenhoven, Erik ; Piacentini, Maria F. ; Meeusen, Romain ; Roelands, Bart ; Koenderman, Leo ; Daanen, Hein A.M. ; Foster Jr., Carl ; De Koning, Jos J. / Prediction of functional overreaching from subjective fatigue and readiness to train after only 3 days of cycling. In: International Journal of Sports Physiology and Performance. 2017 ; Vol. 12, No. Suppl. 2. pp. S2-87-S2-94.
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abstract = "Purpose: To investigate whether monitoring of easily measurable stressors and symptoms can be used to distinguish early between acute fatigue (AF) and functional overreaching (FOR). Methods: The study included 30 subjects (11 female, 19 male; age 40.8 ± 10.8 y, VO2max 51.8 ± 6.3 mL kg-1 min-1) who participated in an 8-d cycling event over 1300 km with 18,500 climbing meters. Performance was measured before and after the event using a maximal incremental test. Subjects with decreased performance after the event were classified as FOR, others as AF. Mental and physical well-being, internal training load, resting heart rate, temperature, and mood were measured daily during the event. Differences between AF and FOR were analyzed using mixed-model ANOVAs. Logistic regression was used to determine the best predictors of FOR after 3 and 6 d of cycling. Results: Fifteen subjects were classified as FOR and 14 as AF (1 excluded). Although total group changes were observed during the event, no differences between AF and FOR were found for individual monitoring parameters. The combination of questionnaire-based changes in fatigue and readiness to train after 3 d cycling correctly predicted 78{\%} of the subjects as AF or FOR (sensitivity = 79{\%}, specificity = 77{\%}). Conclusions: Monitoring changes in fatigue and readiness to train, using simple visual analog scales, can be used to identify subjects likely to become FOR after only 3 d of cycling. Hence, we encourage athlete support staff to monitor not only fatigue but also the subjective integrated mental and physical readiness to perform.",
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Prediction of functional overreaching from subjective fatigue and readiness to train after only 3 days of cycling. / Ten Haaf, Twan; van Staveren, Selma; Oudenhoven, Erik; Piacentini, Maria F.; Meeusen, Romain; Roelands, Bart; Koenderman, Leo; Daanen, Hein A.M.; Foster Jr., Carl; De Koning, Jos J.

In: International Journal of Sports Physiology and Performance, Vol. 12, No. Suppl. 2, 01.04.2017, p. S2-87-S2-94.

Research output: Contribution to JournalArticleAcademicpeer-review

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AU - Ten Haaf, Twan

AU - van Staveren, Selma

AU - Oudenhoven, Erik

AU - Piacentini, Maria F.

AU - Meeusen, Romain

AU - Roelands, Bart

AU - Koenderman, Leo

AU - Daanen, Hein A.M.

AU - Foster Jr., Carl

AU - De Koning, Jos J.

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N2 - Purpose: To investigate whether monitoring of easily measurable stressors and symptoms can be used to distinguish early between acute fatigue (AF) and functional overreaching (FOR). Methods: The study included 30 subjects (11 female, 19 male; age 40.8 ± 10.8 y, VO2max 51.8 ± 6.3 mL kg-1 min-1) who participated in an 8-d cycling event over 1300 km with 18,500 climbing meters. Performance was measured before and after the event using a maximal incremental test. Subjects with decreased performance after the event were classified as FOR, others as AF. Mental and physical well-being, internal training load, resting heart rate, temperature, and mood were measured daily during the event. Differences between AF and FOR were analyzed using mixed-model ANOVAs. Logistic regression was used to determine the best predictors of FOR after 3 and 6 d of cycling. Results: Fifteen subjects were classified as FOR and 14 as AF (1 excluded). Although total group changes were observed during the event, no differences between AF and FOR were found for individual monitoring parameters. The combination of questionnaire-based changes in fatigue and readiness to train after 3 d cycling correctly predicted 78% of the subjects as AF or FOR (sensitivity = 79%, specificity = 77%). Conclusions: Monitoring changes in fatigue and readiness to train, using simple visual analog scales, can be used to identify subjects likely to become FOR after only 3 d of cycling. Hence, we encourage athlete support staff to monitor not only fatigue but also the subjective integrated mental and physical readiness to perform.

AB - Purpose: To investigate whether monitoring of easily measurable stressors and symptoms can be used to distinguish early between acute fatigue (AF) and functional overreaching (FOR). Methods: The study included 30 subjects (11 female, 19 male; age 40.8 ± 10.8 y, VO2max 51.8 ± 6.3 mL kg-1 min-1) who participated in an 8-d cycling event over 1300 km with 18,500 climbing meters. Performance was measured before and after the event using a maximal incremental test. Subjects with decreased performance after the event were classified as FOR, others as AF. Mental and physical well-being, internal training load, resting heart rate, temperature, and mood were measured daily during the event. Differences between AF and FOR were analyzed using mixed-model ANOVAs. Logistic regression was used to determine the best predictors of FOR after 3 and 6 d of cycling. Results: Fifteen subjects were classified as FOR and 14 as AF (1 excluded). Although total group changes were observed during the event, no differences between AF and FOR were found for individual monitoring parameters. The combination of questionnaire-based changes in fatigue and readiness to train after 3 d cycling correctly predicted 78% of the subjects as AF or FOR (sensitivity = 79%, specificity = 77%). Conclusions: Monitoring changes in fatigue and readiness to train, using simple visual analog scales, can be used to identify subjects likely to become FOR after only 3 d of cycling. Hence, we encourage athlete support staff to monitor not only fatigue but also the subjective integrated mental and physical readiness to perform.

KW - Internal training load

KW - Mood disturbance

KW - Overtraining

KW - POMS

KW - Resting heart rate

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