Glycaemic patterns of male professional athletes with type 1 diabetes during exercise, recovery and sleep: Retrospective, observational study over an entire competitive season

Author:

van Weenen Eva1ORCID,Banholzer Nicolas2ORCID,Föll Simon1ORCID,Zueger Thomas34ORCID,Fontana Federico Y.356ORCID,Skroce Kristina78ORCID,Hayes Charlotte5,Kraus Mathias9ORCID,Feuerriegel Stefan10ORCID,Lehmann Vera3ORCID,Scott Sam N.5ORCID,Wortmann Felix11,Stettler Christoph3ORCID

Affiliation:

1. Department of Management, Technology and Economics ETH Zurich Zurich Switzerland

2. Institute of Social and Preventive Medicine University of Bern Bern Switzerland

3. Department of Diabetes, Endocrinology, Nutritional Medicine and Metabolism, Bern University Hospital University of Bern Bern Switzerland

4. Department of Endocrinology and Metabolic Diseases Olten Switzerland

5. Team Novo Nordisk Professional Cycling Team Atlanta Georgia USA

6. CeRiSM Research Centre for Sport, Mountain, and Health University of Verona Trento Italy

7. Faculty of Medicine University of Rijeka Rijeka Croatia

8. Department of Neurosciences, Biomedicine and Movement Sciences University of Verona Verona Italy

9. School of Business, Economics and Society Friedrich‐Alexander University Erlangen‐Nürnberg Nuremberg Germany

10. Institute of AI in Management, LMU Munich Munich Germany

11. Institute of Technology Management University of St. Gallen St. Gallen Switzerland

Abstract

AbstractAimsTo analyse glycaemic patterns of professional athletes with type 1 diabetes during a competitive season.Materials and MethodsWe analysed continuous glucose monitoring data of 12 professional male cyclists with type 1 diabetes during exercise, recovery and sleep on days with competitive exercise (CE) and non‐competitive exercise (NCE). We assessed whether differences exist between CE and NCE days and analysed associations between exercise and dysglycaemia.ResultsThe mean glycated haemoglobin was 50 ± 5 mmol/mol (6.7 ± 0.5%). The athletes cycled on 280.8 ± 28.1 days (entire season 332.6 ± 18.8 days). Overall, time in range (3.9‐10 mmol/L) was 70.0 ± 13.7%, time in hypoglycaemia (<3.9 mmol/L) was 6.4 ± 4.7% and time in hyperglycaemia (>10 mmol/L) was 23.6 ± 12.5%. During the nights of NCE days, athletes spent 10.1 ± 7.4% of time in hypoglycaemia, particularly after exercise in the endurance zones. The CE days were characterized by a higher time in hyperglycaemia compared with NCE days (25.2 ± 12.5% vs. 22.2 ± 12.1%, p = .012). This was driven by the CE phase, where time in range dropped to 60.4 ± 13.0% and time in hyperglycaemia was elevated (38.5 ± 12.9%). Mean glucose was higher during CE compared with NCE sessions (9.6 ± 0.9 mmol/L vs. 7.8 ± 1.1 mmol/L, p < .001). The probability of hyperglycaemia during exercise was particularly increased with longer duration, higher intensity and higher variability of exercise.ConclusionsThe analysis of glycaemic patterns of professional endurance athletes revealed that overall glycaemia was generally within targets. For further improvement, athletes, team staff and caregivers may focus on hyperglycaemia during competitions and nocturnal hypoglycaemia after NCE.

Funder

Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung

Publisher

Wiley

Subject

Endocrinology,Endocrinology, Diabetes and Metabolism,Internal Medicine

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