The Female Athlete Triad represents three interrelated conditions of (i) low energy availability (energy deficiency), presenting with or without disordered eating, (ii) menstrual dysfunction, and (iii) poor bone health, each of which can exist along a continuum of severity ranging from mild and moderate subclinical health concerns to severe clinical outcomes, including eating disorders, amenorrhea, and osteoporosis. This review provides a brief overview of the Female Athlete Triad, including updating the current thinking regarding energy availability and how it relates to reproductive function, and sets the stage for an initial working model of a similar syndrome in males that will be based on currently available evidence and will later be defined and referred to as a Male Athlete Triad by the newly renamed Female and Male Athlete Triad Coalition. A primary focus of this paper will be on the physiology of each Triad model with an emphasis on low energy availability and its role in reproductive function, with a brief introduction on its effects on bone health in men. From the data reviewed, (i) a specific threshold of energy availability below which menstrual disturbances are induced is not supported; (ii) it appears that the energetic, reproductive, and bone systems in men are more resilient to the effects of low energy availability compared to those of women, requiring more severe energetic perturbations before alterations are observed; and (iii) it appears that recovery of the hypothalamic pituitary gonadal axis can be observed more quickly in men than in women.

Scientific advancements have contributed to improve understanding of Triad-related conditions, including leptin's role as a potential neuroendocrine link between energy status and reproductive function. Use of finite element analysis of HRpQCT imaging has provided a more accurate assessment of bone geometry and bone strength and may be clinically relevant. New perspectives aimed at developing and implementing a multi-disciplinary, personalized approach in the prevention and early treatment of triad-related symptoms are provided. The Female Athlete Triad is a multi-dimensional condition that affects active women across the lifespan. Energy availability impacts reproductive function and bone with implications for health and performance. Understanding the contributions of each individual component as well as their interconnected effects is necessary for progression and expansion of the Triad literature.

:The Male Athlete Triad is a medical syndrome most common in adolescent and young adult male athletes in sports that emphasize a lean physique, especially endurance and weight-class athletes. The 3 interrelated conditions of the Male Athlete Triad occur on spectrums of energy deficiency/low energy availability (EA), suppression of the hypothalamic–pituitary–gonadal axis, and impaired bone health, ranging from optimal health to clinically relevant outcomes of energy deficiency/low EA with or without disordered eating or eating disorder, functional hypogonadotropic hypogonadism, and osteoporosis or low bone mineral density with or without bone stress injury (BSI). Because of the importance of bone mass acquisition and health concerns in adolescence, screening is recommended during this time period in the at-risk male athlete. Diagnosis of the Male Athlete Triad is best accomplished by a multidisciplinary medical team. Clearance and return-to-play guidelines are recommended to optimize prevention and treatment. Evidence-based risk assessment protocols for the male athlete at risk for the Male Athlete Triad have been shown to be predictive for BSI and impaired bone health and should be encouraged. Improving energetic status through optimal fueling is the mainstay of treatment. A Roundtable on the Male Athlete Triad was convened by the Female and Male Athlete Triad Coalition in conjunction with the 64th Annual Meeting of the American College of Sports Medicine in Denver, Colorado, in May of 2017. In this second article, the latest clinical research to support current models of screening, diagnosis, and management for at-risk male athlete is reviewed with evidence-based recommendations.

Energy deficiency in exercising women can lead to physiological consequences. No gold standard exists to accurately estimate energy deficiency, but measured-to-predicted resting metabolic rate (RMR) ratio has been used to categorize women as energy deficient. The purpose of the study was to (a) evaluate the accuracy of RMR prediction methods, (b) determine the relationships with physiological consequences of energy deficiency, and (c) evaluate ratio thresholds in a cross-sectional comparison of ovulatory, amenorrheic, or subclinical menstrual disturbances in exercising women (n = 217). Dual-energy X-ray absorptiometry (DXA) and indirect calorimetry provided data on anthropometrics and energy expenditure. Harris-Benedict, DXA, andCunningham (1980 and equations were used to estimate RMR and RMR ratio. Group differences were assessed (analysis of variance and Kruskal-Wallis tests); logistic regression and Spearman correlations related ratios with consequences of energy deficiency (i.e., low total triiodothyronine; TT 3 ). Sensitivity and specificity calculations evaluated ratio thresholds. Amenorrheic women had lower RMR (p < .05), DXA ratio (p < .01), Cunningham 1980 (p < .05) and Cunningham 1991 (p < .05) ratio, and TT 3 (p < .01) compared with the ovulatory group. Each prediction equation overestimated measured RMR (p < .001), but predicted (p < .001) and positively correlated with TT 3 (r = .329-.453). A 0.90 ratio threshold yielded highest sensitivity for Cunningham 1980 (0.90) and Harris-Benedict (0.87) methods, but a higher ratio threshold was best for DXA (0.94) and Cunningham 1991 (0.92) methods to yield a sensitivity of 0.80. In conclusion, each ratio predicted and correlated with TT 3 , supporting the use of RMR ratio as an alternative assessment of energetic status in exercising women. However, a 0.90 ratio cutoff is not universal across RMR estimation methods.Keywords: female athlete triad, menstrual disturbances, metabolic suppression Energy deficiency in exercising women is associated with severe consequences including reproductive dysfunction (De Souza et al., 2007b;Williams et al., 2015) and impaired bone health , a condition referred to as the Female Athlete Triad (Triad) Nattiv et al., 2007). When energy intake fails to meet metabolic demands, metabolizable fuels are repartitioned toward the physiological processes necessary for survival (i.e., locomotion, cellular maintenance, and thermoregulation) and away from those energetic processes deemed unnecessary for survival (i.e., growth and reproduction). This results in suppression of metabolism, energy expenditure, and thyroid hormones (Wade et al., 1996), contributing to the development The authors are with the Women'

Objective: Investigate the reliability of concussion symptoms captured through ecological momentary assessment (EMA) and compare time with recovery based on 3 definitions of symptomatic recovery and the date of clinical clearance to begin the return-toplay (RTP) process. Design: We used a mobile app with EMA to monitor concussion symptoms as part of a multicenter randomized controlled trial. Setting: Three sports medicine practices. Participants: Patients between 13 and 18 years old with sport-related concussion were prompted to complete the Post-Concussion Symptom Inventory daily over 4 weeks. Interventions: None. Main Outcome Measures: We compared the elapsed days to reaching the 4 outcomes using scatterplots and Kaplan-Meier curves. Results: Among 118 participants, symptoms reported into the app had excellent agreement with symptoms reported at a clinical visit on the same day (intraclass correlation coefficient 5 0.97). Most (.50%) participants reached "specific symptom return to preinjury levels," "overall symptom return to preinjury levels," and "current symptom resolution" based on EMA symptom reports between several days and 1 week before achieving "clinical clearance to RTP" determined at a clinical visit, which had 100% sensitivity, but between 56.3% and 78.1% specificity, relative to the appmeasured symptom outcomes. Conclusions: Time until symptom recovery varies based on the chosen definition of symptomatic recovery but is a more precise correlate with clinical clearance to begin the RTP process when defining symptom recovery as a return to a preinjury baseline level of symptomatology. Real-time symptom monitoring may be beneficial clinically, allowing providers to assess patients' recovery status and make more timely and remote treatment recommendations.