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Endocrine markers of energy deficiency and within-day energy balance metrics in elite athletes

J. Trinh, P.H. Nilsson, H. Pojskic, M. Ahlgren, C. Mohlin, P. Pagels et al. ยท Frontiers in Sports and Active Living ยท 2026

Researchers assessed 43 Swedish national-team athletes for Relative Energy Deficiency in Sport (REDs) using body composition scans, resting metabolic rate, blood markers, questionnaires and 4-day food/energy tracking. Over half (53.5%) were classified with REDs โ€” more often women โ€” and these athletes had higher cortisol, lower resting metabolic rate ratio, lower energy intake and availability, and spent more time in energy deficit during the day; similar patterns showed up in half the 'control' athletes too, suggesting a continuum rather than clear-cut categories.
Takeaway: Spread your calories across the day to match training demands rather than eating most of your food after the fact, and get low energy availability checked with multiple markers, not a single test.
Abstract (source)

Introduction: This cross-sectional study aimed to determine the prevalence of Relative Energy Deficiency in Sport (REDs) among Swedish national-team athletes across multiple sports and to examine selected endocrine and metabolic markers in relation to within-day energy balance (WDEB) metrics.

Methods: REDs severity was retrospectively classified in 43 athletes (60.5% females) using the IOC REDs Clinical Assessment Tool 2 framework. Assessments included DXA-derived body composition, resting metabolic rate (RMR) by ventilated-hood indirect calorimetry, blood markers, validated questionnaires, clinical eating disorder interview. 4-day dietary intake, energy availability (EA), EB, and WDEB metrics were assessed in a subsample ( n = 33; 19 females, 14 males).

Results: Twenty athletes (46.5%) were classified as controls (no/low risk; 45.0% female), whereas 23 (53.5%) were classified with REDs (73.9% female). Most REDs cases were mild, however 61% exhibited โ‰ฅ2 additional potential REDs indicators, a pattern also observed in 50% of controls. Athletes classified with REDs had higher cortisol and cortisol-to-insulin ratio, lower RMR ratio, lower energy intake and 24 h EA, and greater exposure to negative WDEB patterns. In unadjusted analyses, insulin was associated with both 24 h EB and EA. Exploratory analyses in females identified associations between cortisol-to-insulin ratio and negative WDEB metrics, and between Exercise Addiction Inventory score and 24 h EB; however, these associations were no longer significant after Benjamini-Hochberg false discovery rate correction.

Conclusion: More than half of the elite athletes in this cohort, were classified with REDs, with a higher prevalence among females. REDs classification was associated with lower EA, greater exposure to negative WDEB patterns, and additional endocrine and metabolic alterations consistent with energy deficiency. Notably, a similar pattern was also observed in 50% of controls, supporting a continuum rather than discrete risk categories. Although WDEB and dietary metrics may provide useful contextual information they should be interpreted cautiously and integrated with comprehensive multi-marker clinical REDs evaluation.

Observational / cohortOpen accessRecovery & SleepSports Nutrition & Supplements
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