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Eur J Appl Physiol ; 122(1): 199-208, 2022 Jan.
Article in English | MEDLINE | ID: mdl-34643795

ABSTRACT

PURPOSE: This study examined and compared select Triad-RED-S components/risk factors in high-level Kenyan male and female distance runners to corresponding control groups; focusing on examining energy intake (EI), bone indices, and hormonal markers. METHODS: A cross-sectional, observational design was used in which Kenyan male and female (n = 30 and n = 26, respectively) middle- and long-distance runners and corresponding male and female control groups (n = 29 and n = 29, respectively) were examined. The participant's bone mineral density (BMD) at the lumbar spine, right femur, and total body were measured using a dual-energy X-ray absorptiometry analysis. Complete blood counts (CBC) were done on the whole blood specimens and hormonal measurements were performed on plasma specimens. In addition, athletes completed metabolic testing to determine maximal oxygen uptakes and 7-day dietary diaries. RESULTS: Overall daily EI across runners and controls within each sex were low, but not significantly different (p > 0.05). Prevalence of low BMD values (Z score < - 2.0) was comparable across groups in each sex (p > 0.05). CBC measures suggested that both runners and controls were healthy. Finally, slight hormonal differences between runners and their respective controls existed (p < 0.05), but were not clinically meaningful or observed in typical Triad-RED-S-related parameters. CONCLUSION: High-level Kenyan male and female runners had low daily EI, but no tendency toward a higher prevalence of low BMD, or Triad-RED-S-related hormonal abnormalities. The occurrence of low EI was not a major risk factor in our athletes; this calls into question whether the current criteria for Triad-RED-S are entirely applicable for athletes of African ethnicity.


Subject(s)
Athletes , Energy Metabolism/physiology , Relative Energy Deficiency in Sport/epidemiology , Absorptiometry, Photon , Blood Cell Count , Bone Density , Cross-Sectional Studies , Energy Intake , Female , Hormones/blood , Humans , Kenya/epidemiology , Male , Oxygen Consumption , Prevalence , Risk Factors , Running
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