Symposium 34: Underrecovery, overdoing and overtraining: Understanding overtraining syndrome and burnout

2003 ◽  
Author(s):  
Goran Kentta
2012 ◽  
Vol 4 (2) ◽  
pp. 128-138 ◽  
Author(s):  
Jeffrey B. Kreher ◽  
Jennifer B. Schwartz

2004 ◽  
Vol 18 (2) ◽  
pp. 154-171 ◽  
Author(s):  
Heidi L. Meehan ◽  
Stephen J. Bull ◽  
Dan M. Wood ◽  
David V.B. James

The present study explored the experiences of five competitive endurance athletes (1 female, 4 male) diagnosed with the overtraining syndrome (OTS). A multicontextual method of inquiry was used, which first involved a medical examination whereby OTS was diagnosed according to established criteria. In addition, 2 questionnaires were administered: the Athlete Daily Hassle Scale (Albinson & Pearce, 1998) and the Coping Response Inventory (Moos, 1992), and a semistructured interview was conducted. Individual case studies were then developed and cross-case analysis carried out. Findings from the present study illustrate that together with sport stress, nonsport stress appears to make an important contribution to the experience of those athletes diagnosed with the OTS. This finding provides evidence to support anecdotes in previous reports.


2021 ◽  
pp. 194173812110447
Author(s):  
Justin Carrard ◽  
Anne-Catherine Rigort ◽  
Christian Appenzeller-Herzog ◽  
Flora Colledge ◽  
Karsten Königstein ◽  
...  

Context: Overtraining syndrome (OTS) is a condition characterized by a long-term performance decrement, which occurs after a persisting imbalance between training-related and nontraining-related load and recovery. Because of the lack of a gold standard diagnostic test, OTS remains a diagnosis of exclusion. Objective: To systematically review and map biomarkers and tools reported in the literature as potentially diagnostic for OTS. Data Sources: PubMed, Web of Science, and SPORTDiscus were searched from database inception to February 4, 2021, and results screened for eligibility. Backward and forward citation tracking on eligible records were used to complement results of database searching. Study Selection: Studies including athletes with a likely OTS diagnosis, as defined by the European College of Sport Science and the American College of Sports Medicine, and reporting at least 1 biomarker or tool potentially diagnostic for OTS were deemed eligible. Study Design: Scoping review following the guidelines of the Joanna Briggs Institute and PRISMA Extension for Scoping Reviews (PRISMA-ScR). Level of Evidence: Level 4. Data Extraction: Athletes’ population, criteria used to diagnose OTS, potentially diagnostic biomarkers and tools, as well as miscellaneous study characteristics were extracted. Results: The search yielded 5561 results, of which 39 met the eligibility criteria. Three diagnostic scores, namely the EROS-CLINICAL, EROS-SIMPLIFIED, and EROS-COMPLETE scores (EROS = Endocrine and Metabolic Responses on Overtraining Syndrome study), were identified. Additionally, basal hormone, neurotransmitter and other metabolite levels, hormonal responses to stimuli, psychological questionnaires, exercise tests, heart rate variability, electroencephalography, immunological and redox parameters, muscle structure, and body composition were reported as potentially diagnostic for OTS. Conclusion: Specific hormones, neurotransmitters, and metabolites, as well as psychological, electrocardiographic, electroencephalographic, and immunological patterns were identified as potentially diagnostic for OTS, reflecting its multisystemic nature. As exemplified by the EROS scores, combinations of these variables may be required to diagnose OTS. These scores must now be validated in larger samples and within female athletes.


2009 ◽  
Vol 41 ◽  
pp. 339
Author(s):  
Alissa Donaldson ◽  
Frank Wyatt ◽  
Tyler Fagan ◽  
Elise Brown

2017 ◽  
Vol 51 (4) ◽  
pp. 350.2-351
Author(s):  
Nathan Lewis ◽  
John Rogers ◽  
Colin Towey ◽  
Glyn Howatson ◽  
Brian Moore ◽  
...  

Author(s):  
Travis Anderson ◽  
Laurie Wideman ◽  
Flavio A. Cadegiani ◽  
Claudio E. Kater

The cortisol awakening response (CAR) is a distinct component of the circadian cortisol profile and has promise as a biomarker for the monitoring of athlete readiness and training status. Although some studies have suggested the CAR may be affected by the development of overtraining syndrome (OTS), this has yet to be systematically investigated. Purpose: To compare the CAR and diurnal cortisol slope between athletes diagnosed with OTS, healthy athletes, and sedentary controls. Methods: This study was a secondary analysis of data from the Endocrine and Metabolic Responses on Overtraining study. Male participants were recruited to either OTS, healthy athlete, or sedentary control groups. The participants produced saliva samples immediately after waking (S1), 30 minutes after waking (S2), at 16:00 hours, and at 23:00 hours. Salivary cortisol concentration was determined by an electrochemiluminescence assay. Mixed-effects models were used to assess the conditional effect of group (sedentary controls, OTS, and healthy athletes) on the change in cortisol over time. Separate models were fit for the awakening samples (S1 and S2) and for the diurnal slope (linear change across S1, 16:00 h, and 23:00 h). Results: The models demonstrated significant time-by-group interaction for OTS for the 2 cortisol concentrations collected during the awakening period (β = −9.33, P < .001), but not for the diurnal cortisol slope (β = 0.02, P = .80). Conclusions: These results suggest the CAR may be associated with OTS and should be considered within a panel of biomarkers. Further research is necessary to determine whether alterations in the CAR may precede the diagnosis of OTS.


Author(s):  
Marleen A. Baak ◽  
Bernard Gutin ◽  
Kim A. Krawczewski Carhuatanta ◽  
Stephen C. Woods ◽  
Heinz W. Harbach ◽  
...  

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