Evidence map›Paper›PMID 42120336›Full record

ArticleEuropean journal of sport science2026

Evaluating Continuous Glucose Monitoring (CGM) Derived Glucose Variability in Athletes Clinically Diagnosed With Relative Energy Deficiency in Sport (REDs).

Penelope A Matkin-Hussey, Dane F Baker, Gregory R Cox, Vernon Coffey, Amy-Lee Bowler, Sarah Beable, Megan Ogilvie, Katherine E Black

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Article in European journal of sport science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Penelope A Matkin-HusseyDepartment of Human Nutrition, University of Otago, Dunedin, New Zealand.ORCID https://orcid.org/0009-0005-3670-934X
Dane F BakerDepartment of Human Nutrition, University of Otago, Dunedin, New Zealand.
Gregory R CoxFaculty of Health Sciences and Medicine, Bond University, Gold Coast, Australia.
Vernon CoffeyFaculty of Health Sciences and Medicine, Bond University, Gold Coast, Australia.
Amy-Lee BowlerSchool of Health, University of the Sunshine Coast, Sunshine Coast, Australia.
Sarah BeableAxis Sports Medicine, Auckland, New Zealand.
Megan OgilvieERH Associates, Auckland, New Zealand.
Katherine E BlackDepartment of Human Nutrition, University of Otago, Dunedin, New Zealand.ORCID https://orcid.org/0000-0003-4672-3362

Funding

Otago Medical Research Foundation Laurenson award
6 · The paper itself

Abstract

Relative Energy Deficiency in Sport (REDs) is a multifactorial condition with significant long-term health and performance implications. Acute low energy availability (LEA) may suppress glucose levels, particularly nocturnally; however, this has not been investigated in athletes with clinically diagnosed REDs. This pilot study examined if glucose variations exist and are detectable using continuous glucose monitoring (CGM) and associations between dietary intake, specifically carbohydrate (CHO) and glucose variability among women athletes with clinically diagnosed REDs compared to matched controls. Eighteen female athletes participated: nine with a clinical REDs diagnosis by a sports physician or reproductive endocrinologist (27.8 ± 6.6 years) and nine matched healthy controls (28.8 ± 7.1 years). Participants recorded 4 days of dietary intake and 7 days of exercise and interstitial glucose data via CGM. No significant group differences were observed in nocturnal mean interstitial glucose (MG) (p = 0.21) or nocturnal glycaemic variability, assessed by the mean amplitude of glycaemic excursion (MAGE) (p = 0.92). In the REDs participants, nocturnal MG correlated negatively with CHO intake (r = -0.698, p = 0.04), whereas controls showed a positive association (r = 0.536, p = 0.14). An inverse association was also observed for CHO intake and nocturnal MAGE (REDs r = -0.592, p = 0.09; control r = 0.787, p = 0.01, 95% CI 0.26-0.95). In this study, athletes clinically diagnosed with REDs did not exhibit lower glucose concentrations compared to controls, yet opposing associations between CHO intake and glucose metrics suggest distinct metabolic adaptations. In this pilot study, CGM-derived glucose variability measures failed to differentiate athletes with a clinical diagnosis of REDs from healthy controls in free-living settings.

Indexed as

Blood GlucoseRelative Energy Deficiency in SportAdultAthletesCase-Control StudiesContinuous Glucose MonitoringDietary CarbohydratesFemaleHumansPilot ProjectsYoung AdultBlood GlucoseDietary Carbohydratesathlete monitoringcarbohydratecontinuous glucose monitoringglycaemic controllow energy availabilityRelative Energy Deficiency in Sport

Identifiers

PMID42120336
PMCPMC13167398

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.