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Irisin is a novel exercise-induced myokine that may be involved in regulating energy metabolism. We determined whether overtraining syndrome (OTS) and its biochemical markers are associated with plasma irisin levels in athletes. Seven severely overtrained athletes (OA) and 10 healthy control athletes (CA) were recruited and examined at the time of diagnosis (baseline) and after 6- and 12-months follow-up. Training volume and intensity were initially restricted but progressively increased in OA as OTS symptoms alleviated; CA continued their normal training routine. A maximal cycle ergometer test was performed with irisin analyzed before and after the test. Before the exercise test, irisin levels tended to be lower in OA than in CA at baseline (154.5 ± 28.5 vs. 171.7 ± 58.7 ng/mL). In both groups, at rest irisin levels changed only marginally during follow-up and were not affected by maximal exercise, nor were they associated with physical performance or body fat percentage. Irisin concentration at rest correlated positively with an oxidative stress marker, malondialdehyde (MDA) and negatively with an antioxidant protection marker, oxygen radical absorbance capacity (ORAC) in response to the exercise test in OA at baseline. Our findings help to clarify the possible contribution of irisin and its association with oxidative stress in the pathophysiology of OTS.

The possibilities of substantial long-term improvement of predictive timing might be sometimes seen as limited, with scanty information of neural substrates underlying the potential learning process. To address this issue, we have investigated the performance of 21 baseball professionals and 21 matched controls in a predictive motor timing task previously shown to engage the cerebellum. Baseball players, hypothesized as a model of overtraining of the prediction of future state of the surroundings, showed significantly higher quantitative performance than nonathletic controls, with a substantial part of the baseball players reaching levels far beyond the range observed in common population. Furthermore, the qualitative performance profile of baseball players under various conditions as target speed and acceleration modes did not differ from the profile of healthy controls. Our results suggest that regular exigent training has the potential to vastly improve predictive motor timing. Moreover, the quantitative but not qualitative difference in the performance profile allows us to hypothesize that the selective honing of the same cerebellar processes and networks as in non-trained individuals is the substrate for the quantitative performance improvement, without substantial engagement of further neural nodes.

Training distress occurs when athletes fail to cope with physiological and psychological stress and can be an early sign of overtraining syndrome. Recent research has found that perfectionism predicts increases in training distress in junior athletes over time. The current study provides the first empirical test of the possibility that coping tendencies mediate the perfectionism-training distress relationship. Adopting a cross-sectional design, 171 junior athletes (mean age = 18.1 years) completed self-report measures of perfectionistic strivings, perfectionistic concerns, problem-focused coping, avoidant coping, and training distress. Structural equation modelling revealed that avoidant coping mediated the positive relationship between perfectionistic concerns and training distress, and mediated the negative relationship between perfectionistic strivings and training distress. Problem-focused coping did not mediate any relationships between dimensions of perfectionism and training distress. The findings suggest that the tendency to use coping strategies aimed at avoiding stress may partly explain the relationship between perfectionism and training distress but the tendency to use, or not use, problem-focussed coping does not.

The purpose of this study was to investigate fear of failure in highly competitive junior athletes and the association with psychological stress and burnout. In total 258 athletes (152 males and 108 females) ranged in age from 15 to 19 years (M = 17.4 years, SD = 1.08) participated. Athletes competed in variety of sports including both team and individual sports. Results showed in a variable-oriented approach using regression analyses that one dimension, fear of experiencing shame and embarrassment had a statistically significant effect on perceived psychological stress and one dimension of burnout, reduced sense of accomplishment. However, adopting a person-oriented approach using latent class analysis, we found that athletes with high levels of fear failure on all dimensions scored high on burnout. We also found another class with high scores on burnout. These athletes had high scores on the individual-oriented dimensions of fear of failure and low scores on the other oriented fear of failure dimensions. The findings indicate that fear of failure is related to burnout and psychological stress in athletes and that this association is mainly associated with the individual-oriented dimensions of fear of failure., (© 2016 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.)

Perfectionistic athletes may train harder and for longer than non-perfectionistic athletes, leaving them susceptible to elevated levels of training distress. So far, however, no study has investigated the relationships between perfectionism and training distress, a key indicator of overtraining syndrome. Furthermore, no study has determined psychological predictors of overtraining syndrome. Using a two-wave design, the present study examined perfectionistic strivings, perfectionistic concerns and training distress in 141 junior athletes (mean age = 17.3 years, range = 16-19 years) over 3 months of active training. Multiple regression analyses were employed to test cross-sectional and longitudinal relationships between perfectionism and training distress. In all analyses, perfectionism emerged as a significant predictor, but strivings and concerns showed differential relationships. When the cross-sectional relationships were regarded, perfectionistic concerns positively predicted training distress (P < .001), whereas perfectionistic strivings negatively predicted training distress (P < .01). When the longitudinal relationships were regarded, only perfectionistic concerns predicted increases in training distress (P < .05), whereas perfectionistic strivings did not (P > .05). The findings suggest that sports scientists who wish to identify athletes at risk of overtraining syndrome may monitor athletes' perfectionistic concerns as a possible risk factor.

Background: The risk of infectious mononucleosis among athletes is quite debated. Some personal observations seem to suggest an increase risk of mononucleosis among athletes, because they attend always close settings with an high probability of respiratory pathogens transmission; overtraining has been also proposed as risk factor., Study Design: Cross-sectional study in a group of swimmers (aged 11-14 years) of the University Sport Centre of Bari., Methods: 40 swimmers were interviewed by healthcare personnel at the end of training courses; demographic characteristics, personal habits, information about sport training and diagnosis of mononucleosis were analysed., Results: The life-time incidence of mononucleosis was around 40%; multivariate analysis showed the association between mononucleosis and use of bottles of other persons (aOR=8.2; 95% CI=1.4-49.2; z=2.32; p=0.021) and average duration of training session was longer among subjects who reported mononucleosis than in subjects who did not indicate this disease., Conclusions: Future multi-centric studies are needed to better define the epidemiology of the mononucleosis in sport settings and to formulate appropriate recommendations to prevent the spreading of this disease.

Background: Monitoring athlete well-being is essential to guide training and to detect any progression towards negative health outcomes and associated poor performance. Objective (performance, physiological, biochemical) and subjective measures are all options for athlete monitoring., Objective: We systematically reviewed objective and subjective measures of athlete well-being. Objective measures, including those taken at rest (eg, blood markers, heart rate) and during exercise (eg, oxygen consumption, heart rate response), were compared against subjective measures (eg, mood, perceived stress). All measures were also evaluated for their response to acute and chronic training load., Methods: The databases Academic search complete, MEDLINE, PsycINFO, SPORTDiscus and PubMed were searched in May 2014. Fifty-six original studies reported concurrent subjective and objective measures of athlete well-being. The quality and strength of findings of each study were evaluated to determine overall levels of evidence., Results: Subjective and objective measures of athlete well-being generally did not correlate. Subjective measures reflected acute and chronic training loads with superior sensitivity and consistency than objective measures. Subjective well-being was typically impaired with an acute increase in training load, and also with chronic training, while an acute decrease in training load improved subjective well-being., Summary: This review provides further support for practitioners to use subjective measures to monitor changes in athlete well-being in response to training. Subjective measures may stand alone, or be incorporated into a mixed methods approach to athlete monitoring, as is current practice in many sport settings., (Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/)

Lifestyle factors, particularly physical inactivity, are closely linked to the onset of numerous metabolic diseases. Adipose tissue (AT) has been extensively studied for various metabolic diseases such as obesity, type 2 diabetes, and immune system dysregulation due to its role in energy metabolism and regulation of inflammation. Physical activity is increasingly recognized as a powerful non-pharmacological tool for the treatment of various disorders, as it helps to improve metabolic, immune, and inflammatory functions. However, chronic excessive training has been associated with increased inflammatory markers and oxidative stress, so much so that excessive training overload, combined with inadequate recovery, can lead to the development of overtraining syndrome (OTS). OTS negatively impacts an athlete's performance capabilities and significantly affects both physical health and mental well-being. However, diagnosing OTS remains challenging as the contributing factors, signs/symptoms, and underlying maladaptive mechanisms are individualized, sport-specific, and unclear. Therefore, identifying potential biomarkers that could assist in preventing and/or diagnosing OTS is an important objective. In this review, we focus on the possibility that the endocrine functions of AT may have significant implications in the etiopathogenesis of OTS. During physical exercise, AT responds dynamically, undergoing remodeling of endocrine functions that influence the production of adipokines involved in regulating major energy and inflammatory processes. In this scenario, we will discuss exercise about its effects on AT activity and metabolism and its relevance to the prevention and/or development of OTS. Furthermore, we will highlight adipokines as potential markers for diagnosing OTS. [ABSTRACT FROM AUTHOR]

Abstract: Introduction: Despite recent advancements in sports medicine and sports psychiatry, a lack of clarity remains in understanding the pathogenesis and etiology of Overtraining Syndrome (OTS). Early research on endurance athletes in high volume/intensity cycles of training described a condition of “staleness”, which could be detected using psychometric assessments on mood. Associated with both physical and psychological symptoms, “staleness” was found to be dose responsive and tended to abate with a reduction in training. Subsequent study of OTS has not revealed reliable or reproducible measurements for ascertaining or treating the condition. Methods: We reviewed historical literature discussing “staleness”, summarizing its theoretical trajectory in academic domains, and comparing this with more recent work that emphasizes the physiological parameters of OTS. We also consider the sociocultural context surrounding these terminological shifts. Results: Though the term “staleness” has fallen out of favor, past work into this topic may have relevance in attempts to define, diagnose, and treat OTS. Further, sports psychiatry may be in a unique position to revisit the literature and emphasize the utility of psychometric assessment in screening, as well as underlining the importance of maintaining mental health among high performing athletes. Conclusion: Research and psychometric assessments designed to discuss “staleness” still remain relevant, particularly in sports psychiatry, and may deserve to be revisited as well as expanded.

Context: To understand overtraining syndrome (OTS), it is important to detail the physiological and psychological changes that occur in athletes. Objectives: To systematically establish and detail the physiological and psychological changes that occur as a result of OTS in athletes. Methods: Databases were searched for studies that were (1) original investigations; (2) English, full-text articles; (3) published in peer-reviewed journals; (4) investigations into adult humans and provided (5) objective evidence that detailed changes in performance from prior to the onset of OTS diagnosis and that performance was suppressed for more than 4 weeks and (6) objective evidence of psychological symptoms. Results: Zero studies provided objective evidence of detailed changes in performance from prior to the onset of OTS diagnosis and demonstrated suppressed performance for more than 4 weeks accompanied by changes in psychological symptoms. Conclusions: All studies failed to provide evidence of changes in performance and mood from "healthy" to an overtrained state with evidence of prolonged suppression of performance. While OTS may be observed in the field, little data is available describing how physiological and psychological symptoms manifest. This stems from vague terminology, difficulties in monitoring for prolonged periods of time, and the need for prospective testing. Real-world settings may facilitate the collection of such data, but the ideal testing battery that can easily be conducted on a regular basis does not yet exist. Consequently, it must be concluded that an evidence base of sufficient scientific quality for understanding OTS in athletes is lacking. [ABSTRACT FROM AUTHOR]

Purpose: The purpose of the study was to investigate whether carbohydrate utilization is altered during exercise in overreached endurance athletes and examine the utility of continuous glucose monitors (CGM) to detect overreaching status. Methods: Eleven endurance athletes (M:8, F:3) completed a 5‐week training block consisting of 1 week of reduced training (PRE), 3 weeks of high‐intensity overload training (POST), and 1 week of recovery training (REC). Participants completed a Lamberts and Lambert Submaximal Cycling Test (LSCT) and 5 km time‐trial at PRE, POST, and REC time points, 15 min following the ingestion of a 50 g glucose beverage with glucose recorded each minute via CGM. Results: Performance in the 5 km time‐trial was reduced at POST (∆‐7 ± 10 W, p = 0.04, ηp2 = 0.35) and improved at REC (∆12 ± 9 W from PRE, p = 0.01, ηp2 = 0.66), with reductions in peak lactate (∆‐3.0 ± 2.0 mmol/L, p = 0.001, ηp2 = 0.71), peak HR (∆‐6 ± 3 bpm, p < 0.001, ηp2 = 0.86), and Hooper‐Mackinnon well‐being scores (∆10 ± 5 a.u., p < 0.001, ηp2 = 0.79), indicating athletes were functionally overreached. The respiratory exchange ratio was suppressed at POST relative to REC during the 60% (POST: 0.80 ± 0.05, REC: 0.87 ± 0.05, p < 0.001, ηp2 = 0.74), and 80% (POST: 0.93 ± 0.05, REC: 1.00 ± 0.05, p = 0.003, ηp2 = 0.68) of HR‐matched submaximal stages of the LSCT. CGM glucose was reduced during HR‐matched submaximal exercise in the LSCT at POST (p = 0.047, ηp2 = 0.36), but not the 5 km time‐trial (p = 0.07, ηp2 = 0.28) in overreached athletes. Conclusion: This preliminary investigation demonstrates a reduction in CGM‐derived glucose and carbohydrate oxidation during submaximal exercise in overreached athletes. The use of CGM during submaximal exercise following standardized nutrition could be employed as a monitoring tool to detect overreaching in endurance athletes. [ABSTRACT FROM AUTHOR]

Purposes: Overtraining syndrome (OTS) is an unexplained underperformance syndrome triggered by excessive training, insufficient caloric intake, inadequate sleep, and excessive cognitive and social demands. Investigation of the recovery process from OTS has not been reported to date. The objective was to unveil novel markers and biochemical and clinical behaviors during the restoration process of OTS. Methods: This was a 12-week interventional protocol in 12 athletes affected by OTS, including increase of caloric intake, transitory interruption of training, improvement of sleep quality, and management of stress, followed by the assessment of 50 parameters including basal and hormonal responses to an insulin tolerance test and nonhormonal biochemical markers, and body metabolism and composition. Results: Early cortisol (P =.023), late ACTH (adrenocorticotrophic hormone) (P =.024), and early and late growth hormone (P =.005 and P =.038, respectively) responses, basal testosterone (P =.038), testosterone:estradiol ratio (P =.0005), insulinlike growth factor 1 (P =.004), cortisol awakening response (P =.001), and free thyronine (P =.069) increased, while basal estradiol (P =.033), nocturnal urinary catecholamines (P =.038), and creatine kinase (P =.071) reduced. Conversely, markers of body metabolism and composition had slight nonsignificant improvements. Conclusion: After a 12-week intervention, athletes affected by actual OTS disclosed a mix of non-, partial, and full recovery processes, demonstrating that remission of OTS is as complex as its occurrence. [ABSTRACT FROM AUTHOR]

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Monitoring recovery in the context of athletic performance has gained significant importance during recent years. As a systematic process of data collection and evaluation, the monitoring of recovery can be implemented for various purposes. It may help prevent negative outcomes of training or competition, such as underrecovery, overtraining, or injuries. Furthermore, it aims to establish routines and strategies necessary to guarantee athletes' readiness for performance by restoring their depleted resources. Comprehensive monitoring of recovery ideally encompasses a multidimensional approach, thereby considering biological, psychological, and social monitoring methods. From a biological perspective, physiological (eg, cardiac parameters), biochemical (eg, creatine kinase), hormonal (eg, salivary cortisol), and immunological (eg, immunoglobulin A) markers can be taken into account to operationalize training loads and recovery needs. Psychological approaches suggest the application of validated and reliable psychometric questionnaires (eg, Recovery–Stress Questionnaire for Athletes) to measure a subjective perception of recovery, as well as the subjective degree of training- or competition-induced fatigue. Social aspects also play a role in performance monitoring and may hence provide essential performance-related information. The implementation of a monitoring routine in athletic environments represents a continuous process that functions as an effective addition to training and depends on a range of conditions (eg, organizational regulations, commitment of athletes). Current research in the field of monitoring aims to establish individualized monitoring regimens that refer to intraindividual reference values with the help of innovative technological devices. [ABSTRACT FROM AUTHOR]

Monitoring athletes' training may help prevent negative consequences such as overtraining and burnout. However, acceptance or willingness of athletes to participate is a barrier to an effective training monitoring program. Educational strategies may potentially increase adherence. Therefore, our aims are to i) assess the impact of training monitoring education on adherence to a monitoring program; ii) determine the effect of the education intervention on burnout, stress, and recovery, and; iii) qualitatively investigate athlete perspectives of the education and training monitoring experience. Recreational athletes (18 male/17 female; age = 42.6 ± 12.0) were randomised to either a control (n = 19) or education (n = 16) group and completed daily training monitoring through a smartphone application over 10 weeks. Pre-post assessments using the Athlete Burnout Questionnaire, the Acute Recovery Stress Scale, and a perceived knowledge of training monitoring questionnaire, and semi-structured interviews were performed. Adherence was low, with no differences between the control group ([mean ± SD]; 43.0 ± 38.8%) and the education group (45.8 ± 36.7%). There were also no differences (p >0.05) between the groups on the standardised inventories. There was a significant effect of time (p <0.001) on participant's perceived understanding of training monitoring tools (scored out of 42) at the end of the washout period (Control: 24.4 ± 6.6; Education: 28.5 ± 5.6) and post-study (Control: 32.1 ± 7.5; Education: 35.1 ± 6.0) compared to the pre-study (Control: 21.5 ± 7.3; Education: 21.9 ± 7.7). Interviews revealed participants wanted more education on modifying their training, and feedback on their data. Our findings suggest this specific educational approach was not enough to increase adherence; other aspects of education and individual feedback needs to be further explored. [ABSTRACT FROM AUTHOR]

The design of high-intensity functional training (HIFT; e. g., CrossFit®) workouts and targeted physiological trait(s) vary on any given training day, week, or cycle. Daily workouts are typically comprised of different modality and exercise combinations that are prescribed across a wide range of intensities and durations. The only consistent aspect appears to be the common instruction to maximize effort and workout density by either completing “as many repetitions as possible” within a time limit (e.g., AMRAP, Tabata) or a list of exercises as quickly as possible. However, because effort can vary within and across workouts, the impact on an athlete's physiology may also vary daily. Programming that fails to account for this variation or consider how targeted physiological systems interrelate may lead to overuse, maladaptation, or injury. Athletes may proactively monitor for negative training responses, but any observed response must be tied to a quantifiable workload before meaningful changes (to programming) are possible. Though traditional methods exist for quantifying the resistance training loads, gymnastic movements, and cardiorespiratory modalities (e.g., cycling running) that might appear in a typical HIFT workout, those methods are not uniform, and their meaning will vary based on a specific exercise's placement within a HIFT workout. To objectively quantify HIFT workloads, the calculation must overcome differences in measurement standards used for each modality, be able to account for a component's placement within the workout and be useful regardless of how a workout is commonly scored (e.g., repetitions completed vs. time-to-completion) so that comparisons between workouts are possible. This review paper discusses necessary considerations for quantifying various HIFT workout components and structures, and then details the advantages and shortcomings of different methods used in practice and the scientific literature. Methods typically used in practice range from being excessively tedious and not conducive for making comparisons within or across workouts, to being overly simplistic, based on faulty assumptions, and inaccurate. Meanwhile, only a few HIFT-related studies have attempted to report relevant workloads and have predominantly relied on converting component and workout performance into a rate (i.e., repetitions per minute or second). Repetition completion rate may be easily and accurately tracked and allows for intra- and inter-workout comparisons. Athletes, coaches, and sports scientists are encouraged to adopt this method and potentially pair it with technology (e.g., linear position transducers) to quantify HIFT workloads. Consistent adoption of such methods would enable more precise programming alterations, and it would allow fair comparisons to be made between existing and future research.

This study describes a beta version of a mobile application (app) that focuses on preventing chronic fatigue in Czech youth athletes. The first version of the SmartTraining app was developed for athletes as a way to prevent chronic fatigue via alertness and education. For alertness, a multistage process was developed using a combination of parameters about training responses, such as tiredness, well-being, heart rate, energy balance and psychological, and health-related aspects. According to the combination of the multistage parameter outcomes, the algorithm classifies the risk of fatigue based on semaphore light: green corresponds to low, yellow to moderate and red to high risk. The education presented in the app consisted of written and "animated videos" material about the variables involved in training, such as training demands and athletes' responses, regeneration, nutrition and communication between athletes, coaches, and parents. Subsequently, a beta version of the app was created and freely available to download for Android or iOS mobile. The app can be used in daily routines to reduce the risk of chronic fatigue from inadequate training dose response. Prevention can minimise the risk of injury or physical and emotional burnout in youth. Informing athletes on how to carefully handle the training factors can improve athletes' awareness of their performance and health status. Collaboration between sports scientists and the commercial sector allows for the efficient development of an easy-to-use and low-cost tool for use in sports settings. Future steps should be performed to validate the app's accuracy in its alertness and in the efficiency of the educational process. [ABSTRACT FROM AUTHOR]

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. [ABSTRACT FROM AUTHOR]

Increasing evidence supports the importance of the gut microbiota (GM) in regulating multiple functions related to host physical health and, more recently, through the gut–brain axis (GBA), mental health. Similarly, the literature on the impact of physical activity (PA), including exercise, on GM and GBA is growing. Therefore, this narrative review summarizes and critically appraises the existing literature that delves into the benefits or adverse effects produced by PA on physical and mental health status through modifications of the GM, highlighting differences and similarities between preclinical and human studies. The same exercise in animal models, whether performed voluntarily or forced, has different effects on the GM, just as, in humans, intense endurance exercise can have a negative influence. In humans and animals, only aerobic PA seems able to modify the composition of the GM, whereas cardiovascular fitness appears related to specific microbial taxa or metabolites that promote a state of physical health. The PA favors bacterial strains that can promote physical performance and that can induce beneficial changes in the brain. Currently, it seems useful to prioritize aerobic activities at a moderate and not prolonged intensity. There may be greater benefits if PA is undertaken from a young age and the effects on the GM seem to gradually disappear when the activity is stopped. The PA produces modifications in the GM that can mediate and induce mental health benefits. [ABSTRACT FROM AUTHOR]

We proposed that an athlete's depressive symptoms may be different from the general population in etiology if considered from the context of a depressive disorder. By shifting focus from a limited notion of symptoms onto a comprehensive model of depression, the full scope of the phenomenon becomes clearer. This paper investigated the relationship between neurotransmitters and allostatic load to explain the incidence of depression among elite athletes. This literature review extensively analyzed exercise-induced neurohormonal imbalance resulting in depressive states among athletes. The research revealed that 5-HTTLPR polymorphism, brain-derived neurotrophic factor (BDNF), extensive psychological demands, social stigma, and overtraining syndrome (OTS) may all contribute to a unique version of depression. The research revealed that the biological standards of athletes differ from those of non-athletes, to the point that the new model may be useful, thereby introducing the new term "Adaptable Depression (AD)" to the literature. This framework suggests a new direction for future research to precisely measure the neurotransmitter-related brain changes that result in "Adaptable Depression" in athletes and to establish a better understanding of the depressive tipping point. [ABSTRACT FROM AUTHOR]

Objective: to determine the content of hormones, as well as some macro- and microelements in athletes-wrestlers outside the period of competition and active training.Materials and methods: the study involved 66 athletes-wrestlers and 107 students involved in sports professionally. The level of hormones and vitamin D was determined by the ELISA method. To analyze the content of macro- and microelements, the subjects were cut off a lock of hair from the back of the head in an amount of at least 0.1 g. The studies were carried out on an ICP-MS Agilent 7900 mass spectrometer.Results: levels of cortisol, TSH and T4 are higher, and levels of testosterone, T3 and vitamin D are lower in athletes compared to the control group. An increase in the content of sodium, calcium, potassium, magnesium, cobalt and a decrease in iodine were revealed in fighters from those who were not involved in sports professionally.Conclusion: the data obtained indicate an imbalance in the work of the body’s endocrine systems and impaired adaptation to stress. It is known that the determination of the hormonal status is used to assess the adaptation, the revealed changes in the indicators of vitamin D, macro- and microelements, allow the study of these indicators in order to prevent the syndrome of overtraining of athletes, to maintain and improve sports performance.

Moderate physical activity has a positive impact on health, although extreme forms of sport such as marathon running may trigger exercise-induced cardiac fatigue. The explicit distinction between the right ventricular (RV) physiological response to training and maladaptive remodeling has not yet been determined. In this study, we aimed to analyze the impact of running a marathon on RV mechanics in amateur athletes using three-dimensional (3D) echocardiography (ECHO) and the ReVISION method (RV separate wall motion quantification). A group of 34 men with a mean age of 40 ± 8 years who successfully finished a marathon underwent ECHO three times, i.e., 2 weeks before the marathon (stage I), at the marathon finish line (stage II), and 2 weeks after the marathon (stage III). The ECHO findings were then correlated with the concentrations of biomarkers related to myocardial injury and overload and also obtained at the three stages. On finishing the marathon, the amateur athletes were found to have a significant (p < 0.05) increase in end-diastolic (with a median of 51.4 vs. 57.0 ml/m2) and end-systolic (with a median of 24.9 vs. 31.5 ml/m2) RV volumes indexed to body surface area, reduced RV ejection fraction (RVEF) (with a median of 51.0% vs. 46.0%), and a decrease in RV radial shortening [i.e., radial EF (REF)] (with a mean of 23.0 ± 4.5% vs. 19.3 ± 4.2%), with other RV motion components remaining unchanged. The post-competition decrease in REF was more evident in runners with larger total volume of trainings (R 2 = 0.4776, p = 0.0002) and higher concentrations of high-sensitivity cardiac troponin I (r = 0.43, p < 0.05) during the preparation period. The decrease in REF was more prominent in the training of marathoners more than 47 km/week. At stage II, marathoners with a more marked decrease in RVEF and REF had higher galectin-3 (Gal-3) levels (r = −0.48 and r = −0.39, respectively; p < 0.05). Running a marathon significantly altered the RV performance of amateur athletes. Transient impairment in RV systolic function resulted from decreased radial shortening, which appeared in those who trained more extensively. Observed ECHO changes correlated with the concentrations of the profibrotic marker Gal-3. [ABSTRACT FROM AUTHOR]

Copyright of Cuadernos de Psicología del Deporte is the property of Cuadernos de Psicologia del Deporte and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The review summarizes the current data on the methods of assessment of adaptation and disadaptation (fatigue, overreaching, overtraining, OT) of athlete during training; special attention is paid to the diagnostic value of biochemical and immunological markers of adaptation potential (AP). Their diagnostic significance was analyzed. Hypotheses and possible mechanisms of OT development were considered. Based on the results of recent studies published by domestic and foreign authors, both the diversity and the number of proposed adaptation markers have been established, and a lack of unity of approaches in the assessment of AP and OT has been revealed. Large amount of biochemical, immunological and other tests proposed for the evaluation of AP was summed up. The most significant AP and OT markers are protein metabolism factors, enzymes, lactate, urea. The role of immune factors, besides leukocytes and lymphocytes, is intensively studied: these are leukocyte toxicity index, level of neutrophils, cytokines, natural antibodies to AP bioregulators. The prospects of using an integrated test system for determining the e-At panel to AP bioregulators is shown for monitoring the athlete's condition, and especially for early diagnosis of OT.

Context: Monitoring mood state is a useful tool for avoiding nonfunctional overreaching. Brain-derived neurotrophic factor (BDNF) is implicated in stress-related mood disorders. Purpose: To investigate the impact of intensified training-induced mood disturbance on plasma BDNF concentrations at rest and in response to exercise. Methods: Eight cyclists performed 1 wk of normal (NT), 1 wk of intensified (INT), and 1 wk of recovery (REC) training. Fasted blood samples were collected before and after exercise on day 7 of each training week and analyzed for plasma BDNF and cortisol concentrations. A 24-item Profile of Mood State questionnaire was administered on day 7 of each training week, and global mood score (GMS) was calculated. Results: Time-trial performance was impaired during INT (P = .01) and REC (P = .02) compared with NT. Basal plasma cortisol (NT = 153 ± 16 ng/mL, INT = 130 ± 11 ng/mL, REC = 150 ± 14 ng/ml) and BDNF (NT = 484 ± 122 pg/mL, INT = 488 ± 122 pg/mL, REC = 383 ± 56 pg/mL) concentrations were similar between training conditions. Likewise, similar exercise-induced increases in cortisol and BDNF concentrations were observed between training conditions. GMS was 32% greater during INT vs NT (P < .001). Conclusions: Consistent with a state of functional overreaching (FOR), impairments in performance and mood state with INT were restored after 1 wk of REC. These results support evidence for mood changes before plasma BDNF concentrations as a biochemical marker of FOR and that cortisol is not a useful marker for predicting FOR. [ABSTRACT FROM AUTHOR]

Purpose: to determine the state of the autonomic regulation of heart rhythm in athletes at various stages of overtraining from the results of an analysis of heart rate variability. Material & Methods: under our supervision there were 49 athletes with signs of overtraining of the I-II stage. To determine vegetative reactivity, an analysis of cardiointervalography data with an orthostatic test was performed. Results: revealed that the most often overtraining of the II stage was found among athletes of playing sports, and with athletic qualifications more often occurs among athletes of the I category than among masters of sports. The results of cardiointervalography indicated that in highly qualified athletes in a state of overtraining, the index of autonomic reactivity does not bring the value of the stress index beyond the balanced work of the ANS. In athletes from the 1st category, compared with masters of sports, hypersympathicotonic activity of the ANS occurs against the background of overtraining. Conclusions: a high indicator of the stress index after an orthostatic test indicates the development of the strain of autonomic and regulatory systems in the body of athletes of the first category, which can lead to a breakdown in the adaptive capabilities of the body.

The aim of the present study was to compare competitive anxiety and perceived overtraining in athletes with and without anabolic steroids consumption. The statistical population included all athletes of team and individual sport fields in Tehran city in 2016. 251 male athletes with and without anabolic steroids consumption were selected using multi-stage cluster sampling method. Athletes had mean age (24 ± 6) years and exercise history (3 ± 1) years. Data were collected using competitive anxiety and perceived overtraining questionnaires. The findings were analyzed by multivariate analysis of variance (MANOVA) and independent t test and showed that athletes without the consumption of anabolic steroids had higher cognitive and physical anxiety than those athletes who consumed anabolic steroids, but there was no significant difference between the two groups in self-confidence. Also, given the perceived overtraining variable, the group who did not use anabolic steroids had a higher level of overtraining. The results indicated that one of the main reasons why athletes use anabolic steroids is their benefits which reduce the negative states and improve the mental and physical performance. That is why these steroids prevail among athletes every day.

Purpose: To investigate the discrepancy between coach and athlete perceptions of internal load and notational analysis of external load in elite junior tennis. Methods: Fourteen elite junior tennis players and 6 international coaches were recruited. Ratings of perceived exertion (RPEs) were recorded for individual drills and whole sessions, along with a rating of mental exertion, coach rating of intended session exertion, and athlete heart rate (HR). Furthermore, total stroke count and unforced-error count were notated using video coding after each session, alongside coach and athlete estimations of shots and errors made. Finally, regression analyses explained the variance in the criterion variables of athlete and coach RPE. Results: Repeated-measures analyses of variance and interclass correlation coefficients revealed that coaches significantly (P < .01) underestimated athlete session RPE, with only moderate correlation (r= .59) demonstrated between coach and athlete. However, athlete drill RPE (P - .14; r = .71) and mental exertion (P= .44; r= .68) were comparable and substantially correlated. No significant differences in estimated stroke count were evident between athlete and coach (P = .21), athlete notational analysis (P = .06), or coach notational analysis (P = .49). Coaches estimated significantly greater unforced errors than either athletes or notational analysis (P < .01). Regression analyses found that 54.5% of variance in coach RPE was explained by intended session exertion and coach drill RPE, while drill RPE and peak HR explained 45.3% of the variance in athlete session RPE. Conclusion: Coaches misinterpreted session RPE but not drill RPE, while inaccurately monitoring error counts. Improved understanding of external- and internal-load monitoring may help coach-athlete relationships in individual sports like tennis avoid maladaptive training. [ABSTRACT FROM AUTHOR]

Purpose: The aim of the current study was to investigate and compare coaches' and players' perceptions of training dose for a full competitive season. Methods: Session rating of perceived exertion (RPE), duration, and training load (session RPE × duration) of 33 professional soccer players (height 178.2 ± 6.6 cm, weight 70.5 ± 6.4 kg, percentage body fat 12.2 ± 1.6) from an under-19 and under-17 (U17) squad were compared with the planned periodization of their professional coaches. Before training, coaches filled in the session rating of intended exertion (RIE) and duration (min) for each player. Players rated session RPE and training duration after each training session. Results: Players perceived their intensity and training load (2446 sessions in total) as significantly harder than what was intended by their coaches (P < .0001). The correlations between coaches' and players' intensity (r = .24), duration (r = .49), and load (r = .41) were weak (P < .0001). Furthermore, for coach-intended easy and intermediate training days, players reported higher intensity and training load (P < .0001). For hard days as intended by the coach, players reported lower intensity, duration, and training load (P < .0001). Finally, first-year players from the U17 squad perceived training sessions as harder than second-year players (P < .0001). Conclusion: The results indicate that young elite soccer players perceive training as harder than what was intended by the coach. These differences could lead to maladaptation to training. Monitoring of the planned and perceived training load of coaches and players may optimize performance and prevent players from overtraining. [ABSTRACT FROM AUTHOR]

We proposed that an athlete’s depressive symptoms may be different from the general population in etiology if considered from the context of a depressive disorder. By shifting focus from a limited notion of symptoms onto a comprehensive model of depression, the full scope of the phenomenon becomes clearer. This paper investigated the relationship between neurotransmitters and allostatic load to explain the incidence of depression among elite athletes. This literature review extensively analyzed exercise-induced neurohormonal imbalance resulting in depressive states among athletes. The research revealed that 5-HTTLPR polymorphism, brain-derived neurotrophic factor (BDNF), extensive psychological demands, social stigma, and overtraining syndrome (OTS) may all contribute to a unique version of depression. The research revealed that the biological standards of athletes differ from those of non-athletes, to the point that the new model may be useful, thereby introducing the new term “Adaptable Depression (AD)” to the literature. This framework suggests a new direction for future research to precisely measure the neurotransmitter-related brain changes that result in “Adaptable Depression” in athletes and to establish a better understanding of the depressive tipping point.

Déterminer la prévalence du syndrome de surentraînement dans une population de sportifs et d'étudier les facteurs de risque. Étude transversale, réalisée sur une période de 6 mois (novembre 2017–avril 2018), sur une population de sportifs (football, handball, athlétisme, basketball, gymnastique et karaté) de différents niveaux. Un questionnaire mis au point et validé par la Société française de médecine du sport (SFMS), complété par un panel de questions subsidiaires, a été rempli par les sportifs. Lorsque le score est supérieur ou égal à 20, il était considéré comme positif. Nous avons colligé 151 sportifs : 59 footballeurs, 53 handballeurs, 21 athlètes, 8 gymnastes, 5 joueurs de karaté et 5 joueurs de basketball. Une nette prédominance masculine a été notée dans notre population avec un sex ratio (H/F) de 3,19. L'âge médian était de 22 ans [19–26]. Le niveau de pratique sportive dans notre population était : international dans 6 % des cas, national dans 48,3 % des cas, régional dans 41,6 % des cas, départ dans 1,3 % des cas et loisir dans 4 % des cas. La médiane d'heures d'entraînement était de 32 h/mois. Elle était plus importante chez les gymnastes (44 h/mois) et les basketballeurs (40 h/mois). La prévalence du syndrome de surentraînement était de 35,1 avec un IC 95 % [27,4 %–42,7 %]. Le score médian du questionnaire de surentraînement a été de 14 [7–22]. Nous avons retrouvé une relation statistiquement significative (p < 0,05) entre présence d'un surentraînement et les facteurs suivants : le niveau de pratique, le nombre d'heures d'entraînement hors la discipline principale, l'antécédent de blessure ou maladie au cours des six derniers mois, la survenue d'un évènement perturbant la vie personnelle ou familiale de sportif, la notion d'un stage en altitude et les troubles menstruels. To determine the prevalence of overtraining syndrome among athletes and to study its risk factors. A cross-sectional and analytical study was conducted over a period of 6 months (November 2017–April 2018), on a population of athletes (football, handball, athletics, basketball, gymnastics and karate) of different sport levels. A questionnaire developed and validated by the French Society for Sports Medicine (SFMS), supplemented by a panel of subsidiary questions, was completed by the athletes. When the score is equal to or greater than 20, it was considered positive. We collected 151 athletes: 59 footballers, 53 handball players, 21 athletes, 8 gymnasts, 5 karate players and 5 basketball players. A clear male predominance was noted in our population with a sex ratio (M/F) of 3.19. The median age was 22 years [19–26]. The level of sport in our population was: international in 6% of cases, national in 48.3% of cases, regional in 41.6% of cases, departure in 1.3% of cases and leisure in 4% of cases. The median training hours were 32 hours per month. It was most important among gymnasts (44 hours/month) and basketballers (40 hours/month). The prevalence of overtraining syndrome was 35.1%with a CI 95% [27.4%; 42.7%]. The median score of the overtraining questionnaire was 14 [7–22]. We found a statistically significant relationship (p < 0.05) between overtraining and the factors below: the level of practice, the number of hours of training outside the main discipline, the history of injury or illness over the past six years month, the occurrence of an event disrupting the personal or family life of sports, the notion of an altitude training and menstrual disorders. [ABSTRACT FROM AUTHOR]

To date, little is known about overreaching (OR) and the overtraining syndrome (OTS) in strength sports and resistance training (RT) populations. However, the available literature may elucidate the occurrence of both conditions in these populations. A scoping review was conducted. SPORTDiscus, Scopus and Web of Science were searched in a robust and systematic manner, with relevant articles analysed. 1170 records were retrieved during an initial search, with a total of 47 included in the review. Two broad themes were identified during data extraction: 1) overreaching in strength sports; 2) overreaching and overtraining syndrome in RT. Short-term periods of OR achieved with either high-volume or high-intensity RT can elicit functional OR (FOR) but there is also evidence that chronic high-volume and/or intensity RT can lead to non-functional overreaching (NFOR). There is minimal evidence to suggest that true OTS has occurred in strength sports or RT based on the studies entered during this review. More research is needed to develop robust guiding principles for practitioners. Additionally, due to the heterogeneous nature of the existing literature, future research would benefit from the development of practical tools to identify and diagnose the transition from FOR to NFOR, and subsequently OTS in strength athletes and RT populations. RT: Resistance training; OR: Overreaching; FOR: Functional overreaching; NFOR: Non-functional overreaching; OTS: Overtraining syndrome; WP: Weightlifting performance [ABSTRACT FROM AUTHOR]

Sleep is essential in the preparation for, and the recovery from, training and competition. Despite being important for all individuals, young athletes are considered an at-risk group for reduced sleep duration and quality. The purpose of this review is to synthesise current literature relating to sleep duration and quality in young (14–25 years) athletes. Specifically, typical sleep and wake patterns, factors affecting sleep and wake patterns, and the consequences of altered sleep and wake patterns in young athletes are discussed. Scheduling training and competition in the afternoon or evening appears to result in reduced sleep duration due to less time in bed. Evidence suggests that young athletes who obtain less than 8 h of sleep per night are at a higher risk of musculoskeletal injury. An increase in sleep duration above habitual nightly sleep may be associated with favourable performance in young athletes; however, the associations between sleep quality and performance- and health-related outcomes remain unclear. [ABSTRACT FROM AUTHOR]

We developed the Fatigue and Fitness Test for Teams (FFITT) to address the challenges of monitoring players in a team simultaneously. The test, which takes 8 min for the entire team, incorporates subjective measures of well-being (RTT-Q), and objective measures of the autonomic system (HRR60s) and neuromuscular function (SLJ). The aim of this study was to present the rationale for the FFITT as a novel athlete monitoring protocol and to measure the reliability of each component of the test. The internal consistency of the RTT-Q questions ranged from α = 0.69–0.92. All questions had an α > 0.83, with one exception of question 'Rate the well-being/stress your school/university/work is causing you to feel' which had an α = 0.69. The reliability of the HRR60s and SLJ was high (R = 0.92, and 0.91 respectively). The absolute typical error of measurement (TEM) of the SLJ was 8 cm and HRR60s was 3 beats. When expressed relatively the CVTEM of HRR60s was 8.4% and SLJ was 3.0%. Based on the TEM the HRR60s and SLJ could detect medium and large changes in fatigue and fitness. In absolute terms this equates to more than 5 bpm (HRR60s) and more than 13 cm (SLJ). The FFITT has the potential to satisfy both scientific principles and the coach's demands of a practical monitoring protocol for frequent use in a team. [ABSTRACT FROM AUTHOR]

The article discusses the relationship between overtraining and adrenal function in athletes. Overtraining occurs when rest is not sufficient for providing recovery of adrenal function, and symptoms include alterations in performance, motor coordination and mood. Overtraining symptoms are similar to adrenal fatigue symptoms.

Abstract Background The cortisol awakening response (CAR) has been used as a biomarker of stress response in a multitude of psychological investigations. While a myriad of biochemical responses have been proposed to monitor responses to exercise training, the use of CAR within the exercise and sports sciences is currently limited and is a potentially underutilized variable. Therefore, the purpose of this review was to collate studies that incorporate both exercise and CAR, in an effort to better understand (a) whether CAR is a useful marker for monitoring exercise stress and (b) how CAR may be most appropriately used in future research. Methods A systematic review of the literature was conducted, following PRISMA guidelines. Searches were conducted using PubMed, SportDISCUS, Scopus, and PsychInfo databases, using search terms related toCAR and exercise and physical activity. Results 10,292 articles were identified in the initial search, with 32 studies included in the final analysis. No studies investigated the effects of laboratory-controlled exercise on CAR. Variable effects were observed, possibly due to inconsistencies in study design, methodology, population, and CAR analysis. The available literature suggests a threshold of exercise may be required to alter the HPA axis and affect CAR. Moreover, CAR may represent a combination of previous exercise load and upcoming stress, making current interpretation of field-based observational research challenging. Conclusions More research is needed to fully elucidate the influence of exercise on CAR and address a number of gaps in the literature, including controlling exercise load, consistent sample collection, and CAR calculation and analysis.

This cross-sectional, descriptive study aimed to identify the prevalence and risk of burnout in Brazilian elite young tennis players, using a multiple-case approach. A total of 130 participants were recruited using a random, non-probabilistic method, based on participation in 2 international tournaments. The Athlete Burnout Questionnaire (ABQ) was used to measure burnout in the players. The results showed that 10% of the athletes (n = 13) had a moderate risk of burnout, 3.1% had a high risk, and 2.3% showed signs of burnout. Analysis of the categories of players with a high risk of burnout and those with signs of burnout showed that there were five categories: recurrent burnout, burnout in career transition, changes in burnout level, burnout related to high expectations, and burnout related to overtraining. The findings of the study reinforce recent models showing that athlete burnout is a complex phenomenon that can manifest in different ways, depending on the athlete's characteristics and life experiences in the sport. [ABSTRACT FROM AUTHOR]

Copyright of Slobozhanskyi Herald of Science & Sport is the property of Kharkiv State Academy of Physical Culture and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Revista Brasileira de Prescrição e Fisiologia do Exercício is the property of Instituto Brasileiro de Pesquisa e Ensino em Fisiologia do Exercicio and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The article proposes that the grossly negligent, reckless, or intentional failure to properly condition athletes by overtraining may hold a coach liable for negligence. Topics covered include the origin of the interscholastic coach's duty of reasonable care, the harmful physical and emotional effects of overtraining, and the scope of actionable conduct for overtraining athletes.

Purpose: Moderate overtraining has been characterized by decreased exercising HR and recently decreased exercising stroke volume (SV), independent of alterations to blood volume. The aim of this study was to assess changes in arterial stiffness and central hemodynamics, and their relationship to exercising SV, after 3 wk of overload training. Methods: Twenty-six cyclists and triathletes completed 3 wk of either regular training (CON; n = 13) or overload training (OL; n = 13). Testing took place before (PRE) and after regular or overload training (POST). Resting measures included brachial blood pressure, HR, carotid–femoral pulse wave velocity (PWV) to assess arterial stiffness, and carotid pulse wave analysis to assess wave reflections and central hemodynamics. An incremental cycle test was used to assess peak power, maximal HR, and maximal lactate to assess overtraining status. Cardiac output (Q˙), SV, and HR were assessed using cardiac impedance. Results: Resting arterial stiffness was unaltered in CON but increased with OL after increased training (CON −0.1 ± 0.6 m·s−1 vs OL +0.5 ± 0.8 m·s−1, P = 0.04). Resting blood pressure and central hemodynamics, including aortic pressures, augmentation index, and subendocardial viability ratio, did not change (all P > 0.05). Maximal SV (CON +3 mL vs OL −9 mL, P = 0.04), HR (CON −2 ± 4 bpm vs OL −9 ± 3 bpm, P < 0.001), and Q˙ (CON +0.32 L·min−1 vs OL −1.75 L·min−1, P = 0.01) decreased with OL from PRE to POST. A significant inverse relationship existed between changes in PWV and maximal Q˙ (r = −0.44, P = 0.04) and changes in PWV and peak power (r = −0.48, P = 0.01), and trended for SV and PWV (r = −0.41, P = 0.055). Conclusions: Overload training results in increased resting arterial stiffness and reduced SV during exercise, with no changes to resting central hemodynamics. [ABSTRACT FROM AUTHOR]

In this article, we report the results of a study that was part of a five-study concept development project. Our goal was to learn about the nature of illness by exploring variations in the manifestations of fatigue, a symptom that is prevalent in both ill (cancer, depression, chronic fatigue syndrome) and selected nonill (recreational marathon runners, shift workers) populations. In this article, we report results of our study of recreational marathon runners, obtained from unstructured interviews with 13 runners between the ages 19 and 49 years using ethnoscience as the design. Key findings with implications for practice are the importance of planning recovery periods following large energy expenditures, the value of using dissociative strategies to manage tiredness, and the usefulness of associative strategies and support systems to manage fatigue. Future studies could explore whether these strategies would be useful for management of tiredness and fatigue in other populations. [ABSTRACT FROM AUTHOR]

Copyright of Polish Journal of Sports Medicine / Medycyna Sportowa is the property of Agencja Wydawnicza Medsportpress Sp. z o. o. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Overtraining syndrome (OTS) is caused by an imbalance between training, nutrition and resting, and leads to decreased performance and fatigue; however, the precise underlying triggers of OTS remain unclear. This study investigated the body composition, metabolism, eating, sleeping patterns and mood states among participants with OTS. Selected participants were divided into OTS-affected athletes (OTS, n = 14), healthy athletes (ATL, n = 25), and healthy non-physically active controls (NCS, n = 12). Compared to ATL, OTS showed decreased sleep quality (p = 0.004); increased duration of work or study (p < 0.001); decreased libido (p = 0.024); decreased calorie (p < 0.001), carbohydrate (p < 0.001) and protein (p < 0.001) intakes; decreased mood states (p < 0.001); decreased basal metabolic rate (p = 0.013) and fat burning (p < 0.001); increased body fat (p = 0.006); decreased muscle mass (p = 0.008); and decreased hydration (p < 0.001). Levels were similar between OTS and NCS, except for worsened fatigue (p < 0.001) and vigour (p = 0.001) in OTS. Reduced calorie intake, worsened sleep, and increased cognitive activity are likely OTS triggers. OTS appears to induce dehydration, increase body fat, decrease libido, and worsen mood. [ABSTRACT FROM AUTHOR]

The use of heart rate variability (HRV) to inform daily training prescription is becoming common in endurance sport. Few studies, however, have investigated the use of pre-training HRV to predict decreased performance or altered exercising autonomic response, typical of functional overreaching (FOR). Further, a new cardiac vagal tone (ProCVT) technology purports to eliminate some of the noise associated with daily HRV, and therefore may be better at predicting same-day performance. The purpose of this investigation was to examine if changes to resting HRV and ProCVT were associated with alterations in performance, maximal heart rate (HRmax), or heart rate recovery (HRrec) in FOR athletes. Twenty-eight recreational cyclists and triathletes were assigned to experimental/control conditions and underwent: 1 week of reduced training, 3 weeks of overload (OL) or regular training (CON), and 1 week of recovery. Testing occurred following the reduced training week (T1), post-3 weeks of training (T2), and following the recovery week (T3). Measures of resting HRV/ProCVT were collected each testing session, followed by maximal incremental exercise tests with HRrec taken 60 s post-exercise. Performance decreased from T1 to T2 in the OL group vs. CON (Δ−9 ± 12 vs. Δ9 ± 11 W, P < .001), as did HRmax (Δ−8 ± 4 vs. Δ−2 ± 4 bpm, P < .001). HRrec increased from T1 to T2 in the OL group vs. CON (Δ10 ± 9 vs. Δ2 ± 5 beats/min, P < .01). HRV and ProCVT did not change in either group. Same-day resting autonomic measures are insufficient in predicting alterations to performance or exercising HR measures following overload training.  [ABSTRACT FROM AUTHOR]

Purpose: Overload training is hypothesized to alter autonomic regulation, although interpretations using indirect measures of heart rate variability are conflicting. The aim of the present study was to examine the effects of overload training on muscle sympathetic nerve activity (MSNA), a direct measure of central sympathetic outflow, in recreational endurance athletes. Methods: Measurements of heart rate variability, cardiac baroreflex sensitivity (BRS), MSNA (microneurography), and sympathetic BRS were obtained in 17 healthy triathletes and cyclists after 1 wk of reduced training (baseline) and again after 3 wk of either regular (n = 7) or overload (n = 10) training. Results: After training, the changes (Δ) in peak power output (10 ± 10 vs -12 ± 9 W, P < 0.001), maximal heart rate (-2 ± 4 vs -8 ± 3 bpm, P = 0.006), heart rate variability (SD of normal-to-normal intervals, 27 ± 31 vs -3 ± 25 ms; P = 0.04), and cardiac BRS (7±6 vs -2 ± 8 ms-mm Hg-1, P = 0.02) differed between the control and overload groups. The change in MSNA burst frequency (-2 ± 2vs4 ± 5 bursts per minute, P = 0.02) differed between groups. Across all participants, the changes in resting MSNA and peak power output were correlated negatively (r = -0.51, P = 0.04). No between-group differences in resting heart rate or blood pressure were observed (all P > 0.05). Conclusions: Overload training increased MSNA and attenuated increases in cardiac BRS and heart rate variability observed with regular training. These results support neural adaptations after overload training and suggest that increased central sympathetic outflow may be linked with decreased exercise performance. [ABSTRACT FROM AUTHOR]