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December 18, 2017International Journal of Sport Nutrition and Exercise Metabolism315 citations

Low Energy Availability Is Difficult to Assess but Outcomes Have Large Impact on Bone Injury Rates in Elite Distance Athletes

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IHIda A. HeikuraAUArja UusitaloTSTrent Stellingwerff

Structured PICO

Does low energy availability (indicated by amenorrhea or low testosterone) impact bone injury rates and hormone levels in elite distance athletes?

P
Population
Elite distance athletes (males and females)
I
Intervention
Assessment of energy availability using Triad or RED-S tools and reproductive function (questionnaires/blood hormone concentrations)
C
Comparator
Athletes with normal reproductive function (non-amenorrheic, normal testosterone)
O
Outcome
Bone injury rates, sex hormones, triiodothyronine, and bone mineral density

Current reproductive function provides a more objective and accurate marker of optimal energy for health than dietary and training estimation of energy availability, and is strongly associated with bone injury rates.

Abstract

). Sex hormones (p < .001), triiodothyronine (p < .05), and bone mineral density (females, p < .05) were significantly lower in amenorrheic (37%) and low testosterone (40%; 15.1 ± 3.0 nmol/L) athletes, and bone injuries were ∼4.5-fold more prevalent in amenorrheic (effect size = 0.85, large) and low testosterone (effect size = 0.52, moderate) groups compared with others. Categorization of females and males using Triad or RED-S tools revealed that higher risk groups had significantly lower triiodothyronine (female and male Triad and RED-S: p < .05) and higher number of all-time fractures (male Triad: p < .001; male RED-S and female Triad: p < .01) as well as nonsignificant but markedly (up to 10-fold) higher number of training days lost to bone injuries during the preceding year. Based on the cross-sectional analysis, current reproductive function (questionnaires/blood hormone concentrations) appears to provide a more objective and accurate marker of optimal energy for health than the more error-prone and time-consuming dietary and training estimation of EA. This study also offers novel findings that athlete health is associated with EA indices.

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Cite This Study

Heikura et al. (2017) studied this question.

synapsesocial.com/papers/69fdae7a7f24f003e827174ahttps://doi.org/10.1123/ijsnem.2017-0313
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