Skip to main content
Log in

Glycaemic Effects of a 156-km Ultra-trail Race in Athletes: An Observational Field Study

  • Original Research Article
  • Published:
Sports Medicine Aims and scope Submit manuscript

Abstract

Background

Ultra-trail running races pose appreciable physiological challenges, particularly for glucose metabolism. Previous studies that yielded divergent results only measured glycaemia at isolated times.

Objectives

We aimed to explore the impact of an ultra-endurance race on continuously measured glycaemia and to understand potential physiological mechanisms, as well as the consequences for performance and behavioural alertness.

Methods

Fifty-five athletes (78% men, 43.7 ± 9.6 years) ran a 156-km ultra-trail race (six 26-km laps, total elevation 6000 m). Participants wore a masked continuous glucose monitoring sensor from the day before the race until 10 days post-race. Blood was taken at rest, during refuelling stops after each lap, and after 24-h recovery. Running intensity (% heart rate reserve), performance (lap times), psychological stress, and behavioural alertness were explored. Linear mixed models and logistic regressions were carried out.

Results

No higher risk of hypo- or hyperglycaemia was observed during the exercise phases of the race (i.e. excluding stops for scientific measurements and refuelling) compared with resting values. Laps comprising a greater proportion of time spent at maximal aerobic intensity were nevertheless associated with more time > 180 mg/dL (P = 0.021). A major risk of hyperglycaemia appeared during the 48-h post-race period compared with pre-race (P < 0.05), with 31.9% of the participants spending time with values > 180 mg/dL during recovery versus 5.5% during resting. Changes in circulating insulin, cortisol, and free fatty acids followed profiles comparable with those usually observed during traditional aerobic exercise. However, creatine phosphokinase, and to a lesser extent lactate dehydrogenase, increased exponentially during the race (P < 0.001) and remained high at 24-h post-race (P < 0.001; respectively 43.6 and 1.8 times higher vs. resting). Glycaemic metrics did not influence physical performance or behavioural alertness.

Conclusion

Ultra-endurance athletes were exposed to hyperglycaemia during the 48-h post-race period, possibly linked to muscle damage and inflammation. Strategies to mitigate muscle damage or subsequent inflammation before or after ultra-trail races could limit recovery hyperglycaemia and hence its related adverse health consequences.

Trial Registration Number

NCT05538442 2022–09-21 retrospectively registered.

Graphical abstract

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3

Similar content being viewed by others

References

  1. Zaryski C, Smith DJ. Training principles and issues for ultra-endurance athletes. Curr Sports Med Rep. 2005;4(3):165–70.

    Article  PubMed  Google Scholar 

  2. Hoppel F, Calabria E, Pesta D, Kantner-Rumplmair W, Gnaiger E, Burtscher M. Physiological and pathophysiological responses to ultramarathon running in non-elite runners. Front Physiol. 2019;10:1300.

    Article  PubMed  PubMed Central  Google Scholar 

  3. Ramos-Campo DJ, Avila-Gandia V, Alacid F, Soto-Mendez F, Alcaraz PE, Lopez-Roman FJ, et al. Muscle damage, physiological changes, and energy balance in ultra-endurance mountain-event athletes. Appl Physiol Nutr Metab. 2016;41(8):872–8.

    Article  CAS  PubMed  Google Scholar 

  4. Waskiewicz Z, Klapcinska B, Sadowska-Krepa E, Czuba M, Kempa K, Kimsa E, et al. Acute metabolic responses to a 24-h ultra-marathon race in male amateur runners. Eur J Appl Physiol. 2012;112(5):1679–88.

    Article  CAS  PubMed  Google Scholar 

  5. Millet GY, Tomazin K, Verges S, Vincent C, Bonnefoy R, Boisson RC, et al. Neuromuscular consequences of an extreme mountain ultra-marathon. PLoS One. 2011;6(2): e17059.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  6. Vassalle C, Piaggi P, Weltman N, Prontera C, Garbella E, Menicucci D, et al. Innovative approach to interpret the variability of biomarkers after ultra-endurance exercise: the multifactorial analysis. Biomark Med. 2014;8(6):881–91.

    Article  CAS  PubMed  Google Scholar 

  7. DuBose SN, Li Z, Sherr JL, Beck RW, Tamborlane WV, Shah VN. Effect of exercise and meals on continuous glucose monitor data in healthy individuals without diabetes. J Diabetes Sci Technol. 2021;15(3):593–9.

    Article  CAS  PubMed  Google Scholar 

  8. Ishihara K, Uchiyama N, Kizaki S, Mori E, Nonaka T, Oneda H. Application of continuous glucose monitoring for assessment of individual carbohydrate requirement during ultramarathon race. Nutrients. 2020;12(4):1121.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  9. Kinrade EJ, Galloway SDR. Dietary observations of ultra-endurance runners in preparation for and during a continuous 24-h event. Front Physiol. 2021;12: 765888.

    Article  PubMed  PubMed Central  Google Scholar 

  10. Yardley JE, Colberg SR. Update on management of type 1 diabetes and type 2 diabetes in athletes. Curr Sports Med Rep. 2017;16(1):38–44.

    Article  PubMed  Google Scholar 

  11. Evans ML, Pernet A, Lomas J, Jones J, Amiel SA. Delay in onset of awareness of acute hypoglycemia and of restoration of cognitive performance during recovery. Diabetes Care. 2000;23(7):893–7.

    Article  CAS  PubMed  Google Scholar 

  12. Heller S, Houwing N, Kragh N, Ploug UJ, Nikolajsen A, Alleman CJ. Investigating the evidence of the real-life impact of acute hyperglycaemia. Diabetes Ther. 2015;6(3):389–93.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  13. Joy NG, Perkins JM, Mikeladze M, Younk L, Tate DB, Davis SN. Comparative effects of acute hypoglycemia and hyperglycemia on pro-atherothrombotic biomarkers and endothelial function in non-diabetic humans. J Diabetes Complications. 2016;30(7):1275–81.

    Article  PubMed  PubMed Central  Google Scholar 

  14. Goel R, Majeed F, Vogel R, Corretti MC, Weir M, Mangano C, et al. Exercise-induced hypertension, endothelial dysfunction, and coronary artery disease in a marathon runner. Am J Cardiol. 2007;99(5):743–4.

    Article  PubMed  Google Scholar 

  15. De Bosscher R, Dausin C, Claus P, Bogaert J, Dymarkowski S, Goetschalckx K, et al. Lifelong endurance exercise and its relation with coronary atherosclerosis. Eur Heart J. 2023;44(26):2388–99.

    Article  PubMed  PubMed Central  Google Scholar 

  16. Dores H, de Araujo GP, Monge J, Costa R, Tata L, Malhotra A, et al. Subclinical coronary artery disease in veteran athletes: is a new preparticipation methodology required? Br J Sports Med. 2020;54(6):349–53.

    PubMed  Google Scholar 

  17. Lechner K, Spanier B, Lechner B, Scherr J. Your athlete-patient has a high coronary artery calcification score-’Heart of Stone’. What should you advise? Is exercise safe? Br J Sports Med. 2021;55(18):1001–2.

    Article  PubMed  Google Scholar 

  18. Scheer V, Tiller NB, Doutreleau S, Khodaee M, Knechtle B, Pasternak A, et al. Potential long-term health problems associated with ultra-endurance running: a narrative review. Sports Med. 2022;52(4):725–40.

    Article  PubMed  Google Scholar 

  19. Kirwan JP, Hickner RC, Yarasheski KE, Kohrt WM, Wiethop BV, Holloszy JO. Eccentric exercise induces transient insulin resistance in healthy individuals. J Appl Physiol (1985). 1992;72(6):2197–202.

    Article  CAS  PubMed  Google Scholar 

  20. Gonzalez-Ortiz M, Martinez-Abundis E, Balcazar-Munoz BR, Pascoe-Gonzalez S. Effect of sleep deprivation on insulin sensitivity and cortisol concentration in healthy subjects. Diabetes Nutr Metab. 2000;13(2):80–3.

    CAS  PubMed  Google Scholar 

  21. Baur DA, Bach CW, Hyder WJ, Ormsbee MJ. Fluid retention, muscle damage, and altered body composition at the Ultraman triathlon. Eur J Appl Physiol. 2016;116(3):447–58.

    Article  PubMed  Google Scholar 

  22. Bratusch-Marrain PR. Insulin-counteracting hormones: their impact on glucose metabolism. Diabetologia. 1983;24(2):74–9.

    Article  CAS  PubMed  Google Scholar 

  23. Marliss EB, Vranic M. Intense exercise has unique effects on both insulin release and its roles in glucoregulation: implications for diabetes. Diabetes. 2002;51(Suppl 1):S271–83.

    Article  CAS  PubMed  Google Scholar 

  24. Rand JS, Kinnaird E, Baglioni A, Blackshaw J, Priest J. Acute stress hyperglycemia in cats is associated with struggling and increased concentrations of lactate and norepinephrine. J Vet Intern Med. 2002;16(2):123–32.

    Article  PubMed  Google Scholar 

  25. Mauvieux B, Hingrand C, Drigny J, Hodzic A, Baron P, Hurdiel R, et al. Study of the kinetics of the determinants of performance during a mountain ultramarathon: multidisciplinary protocol of the first trail Scientifique de Clecy 2021. JMIR Res Protoc. 2022;11(6): e38027.

    Article  PubMed  PubMed Central  Google Scholar 

  26. Battelino T, Danne T, Bergenstal RM, Amiel SA, Beck R, Biester T, et al. Clinical targets for continuous glucose monitoring data interpretation: recommendations from the international consensus on time in range. Diabetes Care. 2019;42(8):1593–603.

    Article  PubMed  PubMed Central  Google Scholar 

  27. Battelino T, Alexander CM, Amiel SA, Arreaza-Rubin G, Beck RW, Bergenstal RM, et al. Continuous glucose monitoring and metrics for clinical trials: an international consensus statement. Lancet Diabetes Endocrinol. 2023;11(1):42–57.

    Article  CAS  PubMed  Google Scholar 

  28. Shah VN, DuBose SN, Li Z, Beck RW, Peters AL, Weinstock RS, et al. Continuous glucose monitoring profiles in healthy nondiabetic participants: a multicenter prospective study. J Clin Endocrinol Metab. 2019;104(10):4356–64.

    Article  PubMed  PubMed Central  Google Scholar 

  29. Tanaka H, Monahan KD, Seals DR. Age-predicted maximal heart rate revisited. J Am Coll Cardiol. 2001;37(1):153–6.

    Article  CAS  PubMed  Google Scholar 

  30. Canadian Association for Global Health C. Mesure de l’intensité de l’activité physique. 2012.

  31. Marteau TM, Bekker H. The development of a six-item short-form of the state scale of the Spielberger State-Trait Anxiety Inventory (STAI). Br J Clin Psychol. 1992;31(3):301–6.

    Article  CAS  PubMed  Google Scholar 

  32. Wilkinson RT, Houghton D. Field test of arousal: a portable reaction timer with data storage. Hum Factors. 1982;24(4):487–93.

    Article  CAS  PubMed  Google Scholar 

  33. Hurdiel R, Peze T, Daugherty J, Girard J, Poussel M, Poletti L, et al. Combined effects of sleep deprivation and strenuous exercise on cognitive performances during The North Face(R) Ultra Trail du Mont Blanc(R) (UTMB(R)). J Sports Sci. 2015;33(7):670–4.

    Article  PubMed  Google Scholar 

  34. Miley AA, Kecklund G, Akerstedt T. Comparing two versions of the Karolinska Sleepiness Scale (KSS). Sleep Biol Rhythms. 2016;14(3):257–60.

    Article  PubMed  Google Scholar 

  35. Hurdiel RRS, Millet G, Mauvieux B, Pezé T, Elsworth-Edelsten C, Martin D, Zunquin G, Dupont G. Cognitive performance and self-reported sleepiness are modulated by time-of-day during a mountain ultramarathon. Res Sports Med. 2018;26(4):1–8.

    Article  Google Scholar 

  36. Kaida K, Takahashi M, Akerstedt T, Nakata A, Otsuka Y, Haratani T, et al. Validation of the Karolinska sleepiness scale against performance and EEG variables. Clin Neurophysiol. 2006;117(7):1574–81.

    Article  PubMed  Google Scholar 

  37. Zinker BA, Mohr T, Kelly P, Namdaran K, Bracy DP, Wasserman DH. Exercise-induced fall in insulin: mechanism of action at the liver and effects on muscle glucose metabolism. Am J Physiol. 1994;266(5 Pt 1):E683–9.

    CAS  PubMed  Google Scholar 

  38. De Feo P, Perriello G, Torlone E, Ventura MM, Fanelli C, Santeusanio F, et al. Contribution of cortisol to glucose counterregulation in humans. Am J Physiol. 1989;257(1 Pt 1):E35-42.

    PubMed  Google Scholar 

  39. Klumpers UM, Veltman DJ, van Tol MJ, Kloet RW, Boellaard R, Lammertsma AA, et al. Neurophysiological effects of sleep deprivation in healthy adults, a pilot study. PLoS One. 2015;10(1): e0116906.

    Article  PubMed  PubMed Central  Google Scholar 

  40. Jensen MD, Caruso M, Heiling V, Miles JM. Insulin regulation of lipolysis in nondiabetic and IDDM subjects. Diabetes. 1989;38(12):1595–601.

    Article  CAS  PubMed  Google Scholar 

  41. Roden M, Price TB, Perseghin G, Petersen KF, Rothman DL, Cline GW, et al. Mechanism of free fatty acid-induced insulin resistance in humans. J Clin Invest. 1996;97(12):2859–65.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  42. Kirwan JP, del Aguila LF. Insulin signalling, exercise and cellular integrity. Biochem Soc Trans. 2003;31(Pt 6):1281–5.

    Article  CAS  PubMed  Google Scholar 

  43. Del Aguila LF, Krishnan RK, Ulbrecht JS, Farrell PA, Correll PH, Lang CH, et al. Muscle damage impairs insulin stimulation of IRS-1, PI 3-kinase, and Akt-kinase in human skeletal muscle. Am J Physiol Endocrinol Metab. 2000;279(1):E206–12.

    Article  PubMed  Google Scholar 

  44. Aoi W, Naito Y, Yoshikawa T. Role of oxidative stress in impaired insulin signaling associated with exercise-induced muscle damage. Free Radic Biol Med. 2013;65:1265–72.

    Article  CAS  PubMed  Google Scholar 

  45. Nieman DC, Dumke CL, Henson DA, McAnulty SR, Gross SJ, Lind RH. Muscle damage is linked to cytokine changes following a 160-km race. Brain Behav Immun. 2005;19(5):398–403.

    Article  CAS  PubMed  Google Scholar 

  46. Pedersen BK, Toft AD. Effects of exercise on lymphocytes and cytokines. Br J Sports Med. 2000;34(4):246–51.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  47. Podlogar T, Wallis GA. New horizons in carbohydrate research and application for endurance athletes. Sports Med. 2022;52(Suppl 1):5–23.

    Article  PubMed  PubMed Central  Google Scholar 

  48. Smith KA, Pugh JN, Duca FA, Close GL, Ormsbee MJ. Gastrointestinal pathophysiology during endurance exercise: endocrine, microbiome, and nutritional influences. Eur J Appl Physiol. 2021;121(10):2657–74.

    Article  CAS  PubMed  Google Scholar 

  49. Burr JF, Drury CT, Phillips AA, Ivey A, Ku J, Warburton DE. Long-term ultra-marathon running and arterial compliance. J Sci Med Sport. 2014;17(3):322–5.

    Article  PubMed  Google Scholar 

  50. Jafar O, Friedman J, Bogdanowicz I, Muneer A, Thompson PD, Ling J, et al. Assessment of coronary atherosclerosis using calcium scores in short- and long-distance runners. Mayo Clin Proc Innov Qual Outcomes. 2019;3(2):116–21.

    Article  PubMed  PubMed Central  Google Scholar 

  51. Jung CH, Rhee EJ, Kim KJ, Kim BY, Park SE, Chang Y, et al. Relationship of glycated hemoglobin A1c, coronary artery calcification and insulin resistance in males without diabetes. Arch Med Res. 2015;46(1):71–7.

    Article  CAS  PubMed  Google Scholar 

  52. Muller J, Dahm V, Lorenz ES, Pressler A, Haller B, Grabs V, et al. Changes of intima-media thickness in marathon runners: a mid-term follow-up. Eur J Prev Cardiol. 2017;24(12):1336–42.

    Article  PubMed  Google Scholar 

  53. Radford NB, DeFina LF, Leonard D, Barlow CE, Willis BL, Gibbons LW, et al. Cardiorespiratory fitness, coronary artery calcium, and cardiovascular disease events in a cohort of generally healthy middle-age men: results from the cooper center longitudinal study. Circulation. 2018;137(18):1888–95.

    Article  CAS  PubMed  Google Scholar 

  54. Jeukendrup A. A step towards personalized sports nutrition: carbohydrate intake during exercise. Sports Med. 2014;44(Suppl 1):S25–33.

    Article  PubMed  Google Scholar 

  55. Ranchordas MK. Nutrition for adventure racing. Sports Med. 2012;42(11):915–27.

    PubMed  Google Scholar 

  56. Tiller NB, Roberts JD, Beasley L, Chapman S, Pinto JM, Smith L, et al. International Society of Sports Nutrition Position Stand: nutritional considerations for single-stage ultra-marathon training and racing. J Int Soc Sports Nutr. 2019;16(1):50.

    Article  PubMed  PubMed Central  Google Scholar 

  57. Kerksick CR. M. Supplements for Endurance Athletes. Strength Condition J. 2010;32:55–64.

    Article  Google Scholar 

  58. Neubauer O, Reichhold S, Nics L, Hoelzl C, Valentini J, Stadlmayr B, et al. Antioxidant responses to an acute ultra-endurance exercise: impact on DNA stability and indications for an increased need for nutritive antioxidants in the early recovery phase. Br J Nutr. 2010;104(8):1129–38.

    Article  CAS  PubMed  Google Scholar 

  59. Tanabe Y, Fujii N, Suzuki K. Dietary supplementation for attenuating exercise-induced muscle damage and delayed-onset muscle soreness in humans. Nutrients. 2021;14(1):70.

    Article  PubMed  PubMed Central  Google Scholar 

  60. Connolly DA, McHugh MP, Padilla-Zakour OI, Carlson L, Sayers SP. Efficacy of a tart cherry juice blend in preventing the symptoms of muscle damage. Br J Sports Med. 2006;40(8):679–83 (discussion 83).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  61. Berger NJA, Best R, Best AW, Lane AM, Millet GY, Barwood M, et al. Limits of ultra: towards an interdisciplinary understanding of ultra-endurance running performance. Sports Med. 2023;54(1):73–93.

    Article  PubMed  Google Scholar 

  62. Bowtell J, Kelly V. Fruit-derived polyphenol supplementation for athlete recovery and performance. Sports Med. 2019;49(Suppl 1):3–23.

    Article  PubMed  PubMed Central  Google Scholar 

  63. Howatson G, von Someren KA. The prevention and treatment of exercise-induced muscle damage. Sports Med. 2012;38(6):483–503.

    Article  Google Scholar 

Download references

Acknowledgements

The authors would like to thank the participants in this study. We thank J. Naturel and J. Lutun (Lille University) and V. Deprez and M-A Allain (Lille University Hospital) for their administrative support; J. Dereumetz (Lille University) for her help with data analyses; A. Bertrand (Statistical Methodology and Computing Service, UCLouvain, Belgium) for support with statistical analyses; and S. Platt (International Eyes SARL) for revising the English. We also thank A. Oliveira Alves and M. Osmont (Paris Cité University) for blood sampling and P. Pigny, F. Zerimech, and J. Demaret (Lille University Hospital) for blood analyses. Glycaemic analyses were carried out at the EURASPORT facility managed by S. Berthoin (Lille University).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Elsa Heyman.

Ethics declarations

Funding

This protocol was partly financed by the RIN TREMPLIN APEEX (Adaptation Physiologiques En Environnements Extrêmes – 2020/2022) supported by the Normandy Region – France and the European Regional Development Fund (ERDF). This study was undertaken as part of the project run by the International Joint Laboratory REGALE-1 (Glycemic Regulation During Exercise in Type 1 Diabetes), bringing together the URePSSS (Lille University) and IRCM (Montréal) and involving an international ‘SPORT-1’ Chair for R. Rabasa-Lhoret (I-SITE ULNE, WILL grant). This study was supported in part by grants from the Type 1 Running Team Association. EH received a grant from the Institut Universitaire de France, and CP received grant assistance as a doctoral student from the Hauts-de-France Regional Authority.

Competing Interests

The authors declare no competing interests.

Ethics Approval

Approval institution, Ouest III Ethics Committee; ethics number, 2021-A01765-36; date of approval, 26 October 2021. Trial registration number, NCT05538442 2022-09-21, retrospectively registered. The study was performed in accordance with the ethical standards in the Declaration of Helsinki.

Consent to Participate

All participants were fully informed of the nature and possible risks of the experimental procedures before their written informed consent was obtained.

Consent to Publication

Not applicable.

Code Availability

Not applicable.

Authors’ Contributions

All authors read and approved the final version. EH and BM designed the experiments. FXG and RRL gave advice on some methodological points. CP, EL, EH, JCV, RH, PLD, SB, PN, VG, PB, QM, and RJ carried out the experiments and collected the data. PM performed blood analyses. EH and CP analysed the data. JH created algorithms for analyses of glycaemic excursions and variability. BM and CH recruited the participants, organized the protocol and the race, and submitted the protocol to the ethics committee. EH and CP wrote the manuscript. All authors were involved in reviewing the manuscript. EH has guaranteed the integrity of the study throughout its duration and, as such, had full access to data and takes responsibility for the integrity of the data and accuracy of the data analysis.

Data Availability Statements

All data related to this article are available on http://www.data.gouv.fr/fr/ platform (https://doi.org/10.57745/EO2SBC).

Supplementary Information

Below is the link to the electronic supplementary material.

Supplementary file1 (PDF 1299 KB)

Supplementary file1 (DOCX 14 KB)

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Parent, C., Mauvieux, B., Lespagnol, E. et al. Glycaemic Effects of a 156-km Ultra-trail Race in Athletes: An Observational Field Study. Sports Med (2024). https://doi.org/10.1007/s40279-024-02013-4

Download citation

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s40279-024-02013-4

Navigation