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Abstract

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.

Keywords

overtraining syndrome athletes diagnosis biomarkers tools

An overload in training is believed to be a necessary stimulus to enhance athletic performance.³⁹ However, adequate recovery balancing training and overall stress level are at least as important as training itself as an imbalance between training and recovery might lead to a decrement in performance.^31,39 Functional overreaching is defined as a short-term decrease in performance (usually up to 2 weeks) followed by a supercompensation effect (adaptive improvement in performance).⁵² In cases where the performance decrement is of a slightly longer duration (usually up to 3-4 weeks) and not followed by supercompensation, the term nonfunctional overreaching is used.⁵² Finally, if reduced performance capacity lasts for more than 3 to 4 weeks and is followed by neither supercompensation nor improved athletic performance, the athlete is likely experiencing an overtraining syndrome (OTS).⁵²

Not only can OTS endanger athletes’ health, its detrimental effects can also extend to their career.³² Athletes suffering from OTS might never again reach their previous level of performance.⁶ With a prevalence of around 30% at age 15 years within young English athletes across different sports, OTS is not infrequent.⁵⁰ Because of the lack of a gold standard diagnostic test, OTS remains a challenging diagnosis of exclusion.⁵²

While systematic reviews aim to answer precise research questions, scoping reviews are appropriate to systematically summarize a field of research that has not been comprehensively reviewed yet.⁵⁹ With only 1 systematic review investigating the hormonal aspects of OTS, this field has exclusively been narratively reviewed to date.¹¹ Therefore, our study aims to systematically review the current literature and map biomarkers and tools reported as potentially diagnostic of OTS. In agreement with pertinent guidelines, this scoping review will not assess individual study quality.⁵⁹

Methods

Protocol and Registration

The present scoping review followed the guidelines of the Joanna Briggs Institute and the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) Extension for Scoping Reviews (PRISMA-ScR).^59,69 The protocol was registered on Open Science Framework on February 18, 2020.¹⁹

Search Strategy and Studies Selection

The search strategy was developed in collaboration with an information specialist. Initial searches in PubMed were performed to identify articles on the topic. Words in titles and abstracts, MeSH (medical subject heading) terms, and author keywords were analyzed. Results of this initial search were used to develop single-concept OTS search strings for both PubMed and Web of Science (Appendix 1, available in the online version of this article). As there is no OTS-specific MeSH term, both strings were exclusively based on text word synonyms. In addition, SPORTDiscus was searched via EBSCOhost using a combination of subject headings and text word synonyms of OTS (Appendix 1, available online). All search strings were PRESS (Peer Review of Electronic Search Strategies) reviewed by an information specialist.⁵¹

The search was conducted on February 19, 2020, and updated on January 20 and February 4, 2021. Retrieved references were exported to EndNote X9 and duplicates were removed. Two authors independently reviewed titles and abstracts against the selection criteria and deemed them as “include,” “exclude,” or “uncertain.” Discrepancies were resolved by discussion and consensus between the 2 authors, and with a third party in case a resolution could not be arrived at. For titles and abstracts marked as “include” or “uncertain,” the corresponding full-text articles were retrieved and reviewed independently by 2 authors for inclusion against the selection criteria.

To complement the results of direct database searching, the bibliographic references of all included articles (backward citation tracking), as well as the citing articles of those which are indexed in Scopus or the Web of Science (forward citation tracking), were screened.

Eligibility Criteria

Inclusion criteria included (1) original articles published until the date of last search, that is, February 4, 2021; (2) studies on humans only; (3) involving athletes with a diagnosis of OTS, as defined in the joint consensus statement by the European College of Sport Science and the American College of Sports Medicine⁵²; and (4) reporting at least 1 potential diagnostic test for OTS. Exclusion criteria included (1) nonoriginal articles; (2) studies written in a language other than English, French, or German (as authors have native-speaking expertise in these 3 languages); and (3) studies about medical conditions mimicking signs and/or symptoms of OTS.

Data Charting

The following information was extracted from the selected articles and mapped: (1) authorship, (2) publication date, (3) study design and duration, (4) studied population, (5) criteria used to diagnose OTS, and (6) biomarkers and tools reported as potentially diagnostic of OTS.

Results

Study Selection

The search yielded unique 5561 results, of which 39 met the eligibility criteria (Figure 1). The authors agreed on all eligibility decisions on discussion without the need for a third party to be involved. Of note, 2 studies were included even though the inspected athletes were diagnosed by the authors with chronic fatigue syndrome and nonfunctional overreaching, respectively, as the pathological profiles described in these older publications matched the most recent OTS definition from 2013.^52,57,65 Forward and backward citation tracking of the 39 included publications did not yield any additional publications.

Figure 1.

Study selection process according to the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) flowchart.

Characteristics of Included Studies

The 39 included publications correspond to 30 independent studies (Appendix 2, available online; 3 studies were reported in eight,^{7-9,12,13,15-16-17} two^36,37 and two^43,44 publications, respectively). For ease of interpretation, studies’ characteristics are based on the 30 included studies, while biomarkers and tools are reported relatively to the 39 included publications. Thirty-seven publications were written in English and 2 were written in French.^4,24 Publication year ranges from 1985 to 2020.

Sports Performed

As displayed in Table 1, 19 studies examined athletes from different sports,^{1,2,4-9,12,13,15-17,20,24,29,36,37,43-45,53,54,58,64,66,68,72} while 9 studies focused on 1 single sport. Two studies did not disclose the type of sport played.^42,71 In terms of athletes per sport, running followed by endurance exercise (not further specified in the studies) and rowing were the most frequently examined sports (Table 2).

Table 1.

Number of studies per type of sport

Type of Sport	No. of Studies (of Which Case Reports)
Multiple	19
Not specified	2 (1)
Rowing	3 (1)
Cross-country skiing	2 (1)
Triathlon	1
Speed skating	1
Swimming	1 (1)
Cycling	1 (1)

Table 2.

Number and proportion of subjects per type of sport

	OTS-Affected Subjects		Control Group Subjects		All Subjects
Type of Sport Performed	n	Proportion, %	n	Proportion, %	n	Proportion, %
Not specified (multiple/unknown)	123	37.5	333	53.4	456	47.9
Running	40	12.2	39	6.3	79	8.3
Endurance exercise	43	13.1	30	4.8	73	7.7
Rowing	25	7.6	39	6.3	64	6.7
Swimming	17	5.2	24	3.8	41	4.3
CrossFit	9	2.7	22	3.5	31	3.3
Cross-country skiing	5	1.5	22	3.5	27	2.8
Speed skating	3	0.9	22	3.5	25	2.6
Triathlon	13	4.0	10	1.6	23	2.4
Cycling	6	1.8	14	2.2	20	2.1
Endurance and resistance exercise	5	1.5	3	0.5	8	0.8
Race walking	4	1.2	4	0.6	8	0.8
Resistance exercise	8	2.4	0	0	8	0.8
Ice hockey	7	2.1	0	0	7	0.7
Sprint running	1	0.3	4	0.6	5	0.5
Squash	3	0.9	2	0.3	5	0.5
Wrestling	4	1.2	0	0	4	0.4
Football	3	0.9	0	0	3	0.3
Motocross	2	0.6	0	0	2	0.2
Orienteering	2	0.6	0	0	2	0.2
Ballet	1	0.3	0	0	1	0.1
Biathlon	1	0.3	0	0	1	0.1
Rugby	1	0.3	0	0	1	0.1
Surfing	1	0.3	0	0	1	0.1
Tennis	1	0.3	0	0	1	0.1
Sedentary	0	0	56	9.0	56	5.9
Total	328	100	624	100	952	100

OTS, overtraining syndrome.

Athletes and Control Group

In total, 952 subjects were examined including 328 athletes diagnosed with OTS and 624 healthy control subjects. In 24 studies, the athletes were already previously affected by OTS,^{2,4-9,12,15-17,20,24,29,30,34,36,37,42-45,47,53,54,56-58,64,65,68,72} while in 6 studies, OTS developed during the study.^{1,27,60,61,66,71} A total of 7 studies were uncontrolled: 2 studies did not have any control group,^4,24 and 5 studies were case-reports with only 1 subject and no control.^{30,47,56,65,71} Eighteen studies enrolled healthy athletes as controls,^{1,2,5,6,19,29,34,36,37,42,45,54,57,58,60,61,66,68,72} 3 studies had both healthy athletes and sedentary subjects as controls,^{7-9,12,13,15-17,27,43,44} 1 study had sedentary controls only,⁶⁴ and 1 study compared OTS-affected athletes to athletes suffering from nonfunctional overreaching.⁵³

As shown in Table 3, 14 studies included both men and women.^{2,4-6,20,24,36,37,42,45,53,64,66,68,72} Ten studies, of which 3 were case reports, focused on men only^{1,7-9,12,13,15-17,27,30,34,54,56,60,61,71} and 2 studies, of which 1 was a case report, on women only.^47,57 Four studies did not specify participants’ sex.^{29,43,44,58,65} The duration of performance decrement was at least 3 weeks in all the studies included.

Table 3.

Sex distribution among groups

	OTS-Affected Subjects		Control Group Subjects		Overall
Sex	Absolute number	Proportion, %	Absolute number	Proportion, %	Absolute number	Proportion, %
Unknown	91	27.8	398	63.8	489	51.4
Male	155	47.3	175	28.0	330	34.7
Female	82	25.0	51	8.2	133	14.0

Total	328	100	624	100	952	100

OTS, overtraining syndrome.

Findings From the Selected Publications

Diagnostic Scores

Three diagnostic scores, namely the EROS-CLINICAL, EROS-SIMPLIFIED, and EROS-COMPLETE scores, were identified (Appendix 3, available online).⁷ As indicated in Appendix 3 (available online), the EROS-CLINICAL score is based on clinical items only, the EROS-SIMPLIFIED score includes clinical and biochemical tests, while the EROS-COMPLETE score consisted of clinical, biochemical, insulin tolerance test (ITT), and body composition variables.⁷ Combined in a decision tree, these 3 scores could distinguish all apparently OTS-affected from healthy male athletes in the original study.⁷

Basal Hormone Levels

Basal hormone levels, defined as hormone levels in a resting state, were the most frequently assessed biomarkers, as they were used to identify OTS in 17 publications.^{1,7,8,13,15-17,27,30,34,42,53,54,56,58,64,66} As indicated in Appendix 3 (available online), the most common hormonal alterations observed in OTS-affected compared with healthy athletes were the following: diminished serum testosterone to estradiol ratio (n = 4),^7,8,15,16 diminished circulating testosterone level (n = 3),^7,17,56 elevated serum estradiol level (n = 3),^8,16,17 elevated plasma and salivary cortisol level (n = 4),^1,13,30,53 elevated nocturnal urinary catecholamines (n = 3),^8,16,17 elevated plasma adrenocorticotropic hormone (ACTH) level (n = 2),^53,54 diminished serum prolactin (PRL) level (n = 2),^7,12 and diminished serum growth hormone (GH) level (n = 2).^7,12

Responses to Stimuli

Hormonal response to stimuli was evaluated in a total of 11 publications using either ITT (n = 7)^{1,7,12,13,15-17} or 2-bout exercise test (TBE, n = 4),^6,53,54,57 which consists of 2 consecutive incremental exercise protocols to exhaustion with 4 hours of rest in between.⁵⁴ Blunted response to ITT in OTS-affected compared with healthy athletes was reported for ACTH (n = 5),^1,7,13,15,16 cortisol (n = 5),^1,7,13,15,17 GH (n = 5),^1,7,12,15,17 and PRL (n = 4).^1,7,12,17 Response to the first and second bouts of TBE was, respectively, reported to be increased and blunted for both ACTH and PRL.^6,53,54 GH response to both bouts was reported to be blunted (n = 2).^53,54 Cortisol response to both bouts was described as slightly increased (n = 2).^54,57 Maximal lactate concentration less than 8 mmol/L at the end of both bouts showed high sensitivity for OTS.⁵³ Finally, decreased VO₂peak, maximum workload, and anaerobic threshold as well as increased perception of effort were evidenced in an ultra-endurance cyclist suffering from OTS compared with his own previous values.⁶⁵

Psychological Questionnaires

Psychological questionnaires used to distinguish OTS-affected from control groups included the Profile of Mood States (POMS, n = 10),^{6,7,9,15-17,29,30,34,57} the overtraining questionnaire of the Société française de médecine du sport (French Society of Sport Medicine, SFMS, n = 2),^4,24 the Hamilton Depression Scale (HAMD) and Montgomery-Åsberg Depression Rating Scale (MADRS, n = 1),⁷² as well as the Recovery Stress Questionnaire for Athletes (RESTQ-Sport, n = 1).⁵⁶ Reported differences in POMS within OTS-affected compared with healthy athletes included increased total POMS score (n = 4),^9,17,30,34 fatigue score (n = 5),^7,9,16,29,30 tension score (n = 3),^7,15,34 anger score (n = 3),^7,29,34 depression score (n = 2),^29,34 confusion score (n = 2),^29,30 as well as decreased vigor score (n = 4).^7,9,15,29 An SFMS score ≥20 was reported to be indicative of OTS.^4,24 The HAMD and MADRS depression scales, as well as the RESTQ-Sport, appeared to be elevated in OTS-affected compared with healthy athletes.^57,72

Heart Rate Variability

High and low periodic oscillations (ie, high and low frequency) of the RR interval (interval between QRS complexes of normal sinus depolarizations)⁶⁷ were elevated (n = 2)^34,36 and reduced, respectively (n = 3),^34,36,37 in OTS-affected versus healthy athletes. This speaks in favor of parasympathetic dominance. Conversely, 1 study reported elevated low frequency in OTS-affected athletes and sedentary controls compared with well-trained athletes.⁴³

Metabolic Alterations

One study used Fourier transform infrared spectroscopy, a technique using a mathematical process (Fourier transformation) to obtain an infrared absorption spectrum of a solid, liquid, or gas,²⁵ to investigate serum metabolic alterations in response to exercise.⁶⁰ Two rowers displayed a disturbed saccharide absorption spectrum after 5 weeks of training, followed by abnormal lipid and peptide absorption spectra on weeks 8 and 15, respectively, before being clinically diagnosed with OTS on week 15. The disturbed peptide metabolism persisted until the end of the study (week 37). Rowers suspected of suffering from nonfunctional overreaching were asked to rest before abnormal peptide absorption spectra appeared, and clinically recovered in 3 weeks. A disturbed peptide absorption spectrum was considered diagnostic for OTS. Plasma lipid profile was also reported to be altered in OTS-affected athletes, characterized by an increase in glycerol and a decrease in triglycerides, very low-density lipoprotein and apolipoprotein C3 concentration.⁶¹ Diminished glutamine levels (n = 2),^58,64 elevated glutamate levels (n = 2)^58,66 as well as diminished glutamine to glutamate ratio (n = 1)⁶⁶ were evidenced in plasma in resting state. Additionally, higher levels of serum creatine kinase were also reported within OTS-affected compared with healthy athletes.^8,15

Neurotransmitters

Decreased sensitivity of serotonin receptors was reported in OTS-affected athletes compared with well-trained controls,⁵ while a reduced number of serotonin transporters was found in a single OTS-affected and depressed team athlete using single-photon emission computed tomography.⁷¹ The latter was interpreted as decreased serotonin production and release.⁷¹

Immunological and Redox Parameters

The ratio of neutrophils to lymphocytes was shown to be decreased,¹⁵ while interleukin (IL)-1β, IL-6, and tumor necrosis factor-α were elevated in response to a single exercise bout.⁴² Alterations in redox homeostasis, characterized by increased oxidant and reduced antioxidant capacities, were reported.^44,47,68 Specifically, markers of protein oxidation and total oxidant capacity were elevated, while antioxidants such as red blood cell glutathione, coenzyme Q10, γ-tocopherol, and carotenoids were diminished.^44,47,68

Muscular Alterations and Body Composition

Diminished telomere lengths,²⁰ focal necrosis, and myofibrillar disorganization⁶⁵ were observed within muscle fibers of OTS-affected compared with nonaffected athletes. Lower muscle mass and body water as well as higher fat mass were observed within OTS-affected compared with healthy athletes.^7,15,42 Similar alterations were reported in OTS-affected CrossFit athletes.¹⁷

Electroencephalography

Differences in electroencephalography (EEG) features were observed between 100 OTS-affected athletes and 100 healthy subjects.² OTS-affected athletes were characterized by decreased α-index, increased amplitude of β-waves, and slow wave occurrence (mainly θ-waves). Hyperventilation-induced EEG-responses in OTS-affected athletes included increased number of slow waves, increased slow wave index and blunted increase of α-wave amplitude. During exercise, α-wave amplitude increased in the control group, while no change was evidenced in the OTS group.

Discussion

The present work systematically reviewed and mapped tools and biomarkers that are potentially diagnostic for OTS. The obtained results are summarized in Figure 2. The diversity of the tools and biomarkers identified in the present work highlights the fact that OTS affects multiple body systems.⁵² This diversity could also support the hypothesis made by Cadegiani et al⁷ that OTS is an heterogenous clinical entity whose symptomatic presentation varies between athletes.

Figure 2.

Overview of the identified biomarkers and tools potentially diagnostic of overtraining syndrome (OTS). CPX, cardiopulmonary exercise test; EEG, electroencephalography; HRV, heart rate variability; ITT, insulin tolerance test; POMS, Profile of Mood State; psy. questionnaires, psychological questionnaires; TBE, 2-bout exercise test.

Cadegiani et al⁷ conducted the Endocrine and Metabolic Responses on Overtraining Syndrome (EROS) study, which resulted in 11 publications.^7-10,12-18 They evaluated 117 potential OTS markers and concluded that individually none of the markers accurately distinguished OTS-affected from healthy athletes.⁷ Combining the most promising markers, they elaborated 3 diagnostic scores, namely the EROS-CLINICAL, EROS-SIMPLIFIED, and EROS-COMPLETE scores, which could distinguish all apparently OTS-affected from healthy male athletes, once combined in a decision tree.⁷ While Cadegiani et al⁷ reported a 100% diagnostic accuracy of these scores in the EROS study, this claim lacks a firm methodological foundation because of the absence of a gold standard diagnostic test for OTS. Furthermore, these scores should now be validated in larger samples and female athletes as highlighted by Cadegiani et al.⁷ Other markers such as heart rate variability (HRV) variables or metabolite levels could be considered as potential additional items of the EROS scores.

The autonomous nervous system hypothesis posits dominance of parasympathetic activation and decreased sympathetic activation to be the underlying cause of the symptoms experienced in OTS.⁴⁶ Although comparing HRV data from different studies is challenging because of methodical heterogeneity, the findings of the present work support, at least partly, the autonomous nervous system hypothesis.^32,52 Namely, elevated high-frequency power and reduced low-frequency power were observed within OTS-affected compared with healthy athletes.^34,36,37

Alteration in metabolite levels represents another promising field of research. In addition to their roles as building blocks of cell components and fuels in cellular energetics, metabolites also act as signaling molecules and driving forces in the pathophysiology of human diseases.^63,73 The successive alterations reported in saccharide, lipid, and peptide absorption spectra along the fatigue continuum are preliminary in nature and cannot yet be used in the diagnostic process of OTS. These findings should pave the way for future research investigating the metabolic determinants of OTS. Novel technologies such as metabolomics, a powerful metabolic phenotyping tool, could improve OTS-affected athletes’ profiling and ultimately contribute to the discovery of novel biomarkers.⁴⁰ For instance, diminished glutamine and elevated glutamate levels have often been linked to impaired immune system within athletes suffering from a disorder of the continuum fatigue spectrum.^22,33,38,66

Basal hormone levels were frequently reported to be altered in OTS-affected compared with healthy athletes. Catabolic hormones, such as cortisol and catecholamines, tended to be elevated, while anabolic hormones, such as testosterone and estradiol, showed conflicting results. Several authors believe that hormonal responses to stimuli are more accurate than basal hormone levels in diagnosing OTS.^11,70 Hormone levels did behave more homogenously on stimulation with ACTH, PRL, GH, and insulin-like growth factor-1 (IGF-1) being blunted in response to ITT or exercise stimuli within OTS-affected compared with healthy and overreached athletes. Only cortisol levels showed varied responses. OTS-affected athletes displayed dysfunctions in the hypothalamus-pituitary-adrenal axis in response to a stress situation.^13,54 These dysfunctions are likely to be central (either in the hypothalamus and/or the pituitary), since the adrenals were reported to respond physiologically to ACTH stimulation tests in OTS-affected athletes.¹³

Psychological questionnaires have long been used in the OTS research field, as mood disturbances are common in OTS-affected athletes. These athletes tend to display higher total POMS score, higher fatigue, tension, depression, anger, and confusion subscores as well as a lower vigor subscore. Similar psychological patterns were observed using other psychological questionnaires (SFMS, HAMD, MADRS, and RESTQ-Sport). Importantly, psychological questionnaires applied in isolation are probably more useful in the monitoring of both the training and recovery processes than in the diagnosis itself.³² Neurobiologically, the reported diminished serotonin receptors’ sensitivity and transporters’ number are compatible with the observed psychological patterns.^23,55

A potential diagnostic tool that has not received much attention so far is EEG. A variety of EEG patterns were reported to be different between OTS-affected athletes and healthy subjects. As EEG is noninvasive and relatively inexpensive, further research in this promising field is warranted. Similarly, diminished telomere length in muscle cells represents another sparsely researched feature observed in OTS-affected athletes. While reduction in telomere length naturally occurs with aging, certain factors such as exercise-related muscle damage can accelerate this process.⁴⁸ Interestingly, telomere length was inversely correlated to the number of running years and training hours.⁶² Whether telomere length responds differently to physiological training adaptation and pathological training maladaptation remains to be determined.

Limitations

The field of OTS research faces several hurdles. First, the lack of standard definitions and terminologies in OTS, coupled with the fact that distinctions between nonfunctional overreaching and OTS are not always straightforward, make it difficult to characterize athletes that show a decrement in performance and ultimately compare studies.⁵² Consequently, clinical studies investigating OTS should be viewed in this context and interpreted with caution. Second, conclusions of most included reports are limited by small samples sizes.³² Of the 39 publications included for this scoping review, 8 were based on only 1 single subject. As a result, the overall quality of the scientific evidence is low, that is, level 4.

Athletes engaged in endurance sports were clearly overrepresented in the included publications. Although both endurance and non-endurance athletes are at risk for OTS,⁴⁹ this overrepresentation is common in the OTS research field.^28,52 Interestingly, differences were observed between OTS-affected athletes engaged in endurance and resistance sports²⁶ with catecholamine levels being decreased in the former but increased in the latter.¹¹ Therefore, diagnostic tools and biomarkers for OTS might need to be specific to the type of sport.²⁸

Female athletes are underrepresented in OTS studies, as is the case in much of sports and exercise medicine research.²¹ The study of female athletes with OTS is complicated by the biological complexity of the menstrual cycle.³ Both the phases of the menstrual cycle and the use of oral contraceptives can affect hormonal testing in female athletes.^35,52 Therefore, to provide female-specific biomarkers and normal values, it is necessary to not only investigate more female athletes suffering from OTS but also consider the hormone fluctuations throughout the menstrual cycle as well as the intake of oral contraceptives.⁴¹

Conclusion

This scoping review included 39 publications reporting biomarkers and tools potentially diagnostic for OTS. The quality of evidence available was low as indicated by level 4 rating. The diversity of the identified markers and tools is in line with the fact that OTS affects multiple body systems. Moreover, it supports the hypothesis that OTS might be a heterogenous syndrome consisting of different clinical phenotypes. Thus, rather than using parameters in isolation, there is a trend toward combining multiple variables to diagnose OTS. This is demonstrated by the recently developed EROS-CLINICAL, EROS-SIMPLIFIED, and EROS-COMPLETE scores. These scores must now be validated in larger samples and within female athletes. Finally, omic scale profiling of OTS-affected athletes might contribute to a better understanding of this condition.

Supplemental Material

sj-docx-1-sph-10.1177_19417381211044739 – Supplemental material for Diagnosing Overtraining Syndrome: A Scoping Review

Supplemental material, sj-docx-1-sph-10.1177_19417381211044739 for Diagnosing Overtraining Syndrome: A Scoping Review by Justin Carrard, Anne-Catherine Rigort, Christian Appenzeller-Herzog, Flora Colledge, Karsten Königstein, Timo Hinrichs and Arno Schmidt-Trucksäss in Sports Health: A Multidisciplinary Approach

Supplemental Material

sj-docx-2-sph-10.1177_19417381211044739 – Supplemental material for Diagnosing Overtraining Syndrome: A Scoping Review

Supplemental material, sj-docx-2-sph-10.1177_19417381211044739 for Diagnosing Overtraining Syndrome: A Scoping Review by Justin Carrard, Anne-Catherine Rigort, Christian Appenzeller-Herzog, Flora Colledge, Karsten Königstein, Timo Hinrichs and Arno Schmidt-Trucksäss in Sports Health: A Multidisciplinary Approach

Supplemental Material

sj-docx-3-sph-10.1177_19417381211044739 – Supplemental material for Diagnosing Overtraining Syndrome: A Scoping Review

Supplemental material, sj-docx-3-sph-10.1177_19417381211044739 for Diagnosing Overtraining Syndrome: A Scoping Review by Justin Carrard, Anne-Catherine Rigort, Christian Appenzeller-Herzog, Flora Colledge, Karsten Königstein, Timo Hinrichs and Arno Schmidt-Trucksäss in Sports Health: A Multidisciplinary Approach

Footnotes

The authors report no potential conflicts of interest in the development and publication of this article.

ORCID iD

Justin Carrard

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