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      Testosterone, cortisol, hGH, and IGF‐1 levels in an Italian female elite volleyball team

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          Abstract

          Purpose

          To assess the transferability of the reference intervals (RI) of testosterone (T), cortisol (C), human growth hormone (hGH), and insulin‐like growth factor (IGF)‐1, calculated on a normal healthy population, to a population of female elite volleyball players. Secondary aim of this study is the evaluation of the T/C ratio as predictive tool of overtraining during the annual regular season.

          Methods

          A retrospective, longitudinal, observational study was performed, enrolling 58 professional female volleyball players periodically evaluated during the regular sportive season, which lasts from September to May.

          Results

          Statistically significant differences between the volleyball players and reference populations for T ( P = .010), C ( P < .001), and IGF‐1 ( P < .001) were found. Three different statistical approaches to calculate the RI in the athlete group showed a high degree of concordance and pointed out a shift upwards of both lower and upper reference limits. The T/C ratio significantly changed among visits ( P = .009). In particular, an overall decrease of about 30% was observed for this ratio during the season, suggesting a state of overtraining.

          Conclusion

          T, C, hGH, and IGF‐1 reference values calculated on elite volleyball female players are higher than those of the reference population used in normal clinical practice, suggesting that the health status of highly trained subjects needs the definition of tailored RI for these variables. Moreover, the utility of T/C ratio in the evaluation of overtraining is confirmed.

          Abstract

          Purpose

          To assess the transferability of the reference intervals (RI) of testosterone (T), cortisol (C), human growth hormone (hGH), and insulin‐like growth factor (IGF)‐1, calculated on a normal healthy population, to a population of female elite volleyball players. Secondary aim of this study is the evaluation of the T/C ratio as predictive tool of overtraining during the annual regular season.

          Methods

          A retrospective, longitudinal, observational study was performed, enrolling 58 professional female volleyball players periodically evaluated during the regular sportive season, which lasts from September to May.

          Results

          Statistically significant differences between the volleyball players and reference populations for T ( P = .010), C ( P < .001), and IGF‐1 ( P < .001) were found. Three different statistical approaches to calculate the RI in the athlete group showed a high degree of concordance and pointed out a shift upwards of both lower and upper reference limits. The T/C ratio significantly changed among visits ( P = .009). In particular, an overall decrease of about 30% was observed for this ratio during the season, suggesting a state of overtraining.

          Conclusion

          T, C, hGH, and IGF‐1 reference values calculated on elite volleyball female players are higher than those of the reference population used in normal clinical practice, suggesting that the health status of highly trained subjects needs the definition of tailored RI for these variables. Moreover, the utility of T/C ratio in the evaluation of overtraining is confirmed.

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          Most cited references32

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          Prevention, diagnosis, and treatment of the overtraining syndrome: joint consensus statement of the European College of Sport Science and the American College of Sports Medicine.

          Successful training not only must involve overload but also must avoid the combination of excessive overload plus inadequate recovery. Athletes can experience short-term performance decrement without severe psychological or lasting other negative symptoms. This functional overreaching will eventually lead to an improvement in performance after recovery. When athletes do not sufficiently respect the balance between training and recovery, nonfunctional overreaching (NFOR) can occur. The distinction between NFOR and overtraining syndrome (OTS) is very difficult and will depend on the clinical outcome and exclusion diagnosis. The athlete will often show the same clinical, hormonal, and other signs and symptoms. A keyword in the recognition of OTS might be "prolonged maladaptation" not only of the athlete but also of several biological, neurochemical, and hormonal regulation mechanisms. It is generally thought that symptoms of OTS, such as fatigue, performance decline, and mood disturbances, are more severe than those of NFOR. However, there is no scientific evidence to either confirm or refute this suggestion. One approach to understanding the etiology of OTS involves the exclusion of organic diseases or infections and factors such as dietary caloric restriction (negative energy balance) and insufficient carbohydrate and/or protein intake, iron deficiency, magnesium deficiency, allergies, and others together with identification of initiating events or triggers. In this article, we provide the recent status of possible markers for the detection of OTS. Currently, several markers (hormones, performance tests, psychological tests, and biochemical and immune markers) are used, but none of them meet all the criteria to make their use generally accepted.
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            A Suggestion for Using Powerful and Informative Tests of Normality

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              Requirement for mass spectrometry sex steroid assays in the Journal of Clinical Endocrinology and Metabolism.

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                Author and article information

                Contributors
                devincentis.sara@gmail.com
                Journal
                Health Sci Rep
                Health Sci Rep
                10.1002/(ISSN)2398-8835
                HSR2
                Health Science Reports
                John Wiley and Sons Inc. (Hoboken )
                2398-8835
                09 March 2018
                April 2018
                : 1
                : 4 ( doiID: 10.1002/hsr2.v1.4 )
                : e32
                Affiliations
                [ 1 ] Department of Laboratory Medicine and Pathology Azienda USL of Modena Italy
                [ 2 ] Unit of Endocrinology, Department of Biomedical, Metabolic and Neural Sciences University of Modena and Reggio Emilia Italy
                [ 3 ] Department of Medicine, Endocrinology, Metabolism and Geriatrics Azienda Ospedaliero‐Universitaria of Modena Italy
                [ 4 ] Department of Biomolecular Science, Unit of Biostatistics University “Carlo Bo” of Urbino Italy
                [ 5 ] Department of Public Healthcare, Sport Medicine Service Azienda USL of Modena Italy
                Author notes
                [*] [* ] Correspondence

                Sara De Vincentis, MD, Unit of Endocrinology, Azienda Ospedaliero‐Universitaria of Modena, Italy, Via Giardini 1355, 41126, Modena, Italy.

                Email: devincentis.sara@ 123456gmail.com

                Author information
                http://orcid.org/0000-0002-9582-5683
                Article
                HSR232 HSR-2017-08-0081.R2
                10.1002/hsr2.32
                6266423
                9e3387b7-9746-4ddc-a5f7-9f6d8d1bb8be
                © 2018 The Authors. Health Science Reports published by Wiley Periodicals, Inc.

                This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

                History
                : 23 August 2017
                : 12 December 2017
                : 01 February 2018
                Page count
                Figures: 5, Tables: 2, Pages: 9, Words: 5666
                Categories
                Research Article
                Research Articles
                Custom metadata
                2.0
                hsr232
                April 2018
                Converter:WILEY_ML3GV2_TO_NLMPMC version:version=5.5.3 mode:remove_FC converted:20.11.2018

                female athletes,reference intervals,testosterone/cortisol (t/c) ratio,overtraining

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