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Parent C, Mauvieux B, Lespagnol E, Hingrand C, Vauthier JC, Noirez P, Hurdiel R, Martinet Q, Delaunay PL, Besnard S, Heyman J, Gabel V, Baron P, Gamelin FX, Maboudou P, Rabasa-Lhoret R, Jouffroy R, Heyman E. Glycaemic Effects of a 156-km Ultra-trail Race in Athletes: An Observational Field Study. Sports Med 2024; 54:2169-2184. [PMID: 38555307 DOI: 10.1007/s40279-024-02013-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/25/2024] [Indexed: 04/02/2024]
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.
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Affiliation(s)
- Cassandra Parent
- Univ. Lille, Univ. Artois, Univ. Littoral Côte d'Opale, ULR 7369 - URePSSS - Unité de Recherche Pluridisciplinaire Sport Santé Société, 59000, Lille, France
- Institut de Recherches Cliniques de Montréal, Montréal, Québec, Canada
- Department of Nutrition, Université de Montréal, Montréal, Québec, Canada
| | | | - Elodie Lespagnol
- Univ. Lille, Univ. Artois, Univ. Littoral Côte d'Opale, ULR 7369 - URePSSS - Unité de Recherche Pluridisciplinaire Sport Santé Société, 59000, Lille, France
| | | | - Jean-Charles Vauthier
- Département de Médecine Générale, Faculté de Médecine - Département du Grand Est de Recherche en Soins Primaires, Université de Lorraine, Nancy, France
- Laboratoire Interpsy (UR 4432), Université de Lorraine, Nancy, France
| | - Philippe Noirez
- Institute for Research in bioMedicine and Epidemiology of Sport (IRMES), Paris, France
- T3S, INSERM UMR-S 1124, University of Paris Cité, Paris, France
- Département des Sciences de l'activité Physique, Université du Québec à Montréal, Montreal, Canada
- PSMS, University of Reims Champagne Ardenne, Reims, France
| | - Rémy Hurdiel
- Univ. Lille, Univ. Artois, Univ. Littoral Côte d'Opale, ULR 7369 - URePSSS - Unité de Recherche Pluridisciplinaire Sport Santé Société, 59000, Lille, France
| | | | | | - Stéphane Besnard
- UR 7480 Vertex - Université de Caen, Caen, France
- CHU de Caen, Caen, France
| | - Joris Heyman
- CNRS, UMR 6118, Transferts d'eau et de Matière dans les Milieux Hétérogènes Complexes - Géosciences, Université Rennes, Rennes, France
| | | | - Pauline Baron
- Univ. Lille, Univ. Artois, Univ. Littoral Côte d'Opale, ULR 7369 - URePSSS - Unité de Recherche Pluridisciplinaire Sport Santé Société, 59000, Lille, France
| | - François-Xavier Gamelin
- Univ. Lille, Univ. Artois, Univ. Littoral Côte d'Opale, ULR 7369 - URePSSS - Unité de Recherche Pluridisciplinaire Sport Santé Société, 59000, Lille, France
| | - Patrice Maboudou
- Laboratoire de Biochimie et Biologie Moléculaire, CHU de Lille, Pôle de Biologie Pathologie Génétique, Lille, France
| | - Rémi Rabasa-Lhoret
- Institut de Recherches Cliniques de Montréal, Montréal, Québec, Canada
- Department of Nutrition, Université de Montréal, Montréal, Québec, Canada
| | - Romain Jouffroy
- Intensive Care Unit, Ambroise Paré Hospital, Assistance Publique - Hôpitaux de Paris, Boulogne Billancourt, France
- Centre de Recherche en Epidémiologie et Santé des Populations - U1018, INSERM - Paris Saclay University, Paris, France
- EA 7329 - Institut de Recherche Médicale et d'Épidémiologie du Sport - Institut National du Sport, de l'Expertise et de la Performance, Paris, France
| | - Elsa Heyman
- Univ. Lille, Univ. Artois, Univ. Littoral Côte d'Opale, ULR 7369 - URePSSS - Unité de Recherche Pluridisciplinaire Sport Santé Société, 59000, Lille, France.
- Institut Universitaire de France, Paris, France.
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Patel R, Kemp CL, Hafejee M, Peckham N, Jain V, McCann GP, Pallikadavath S. The Underrepresentation of Females in Studies Assessing the Impact of High-Dose Exercise on Cardiovascular Outcomes: a Scoping Review. SPORTS MEDICINE-OPEN 2021; 7:30. [PMID: 33914201 PMCID: PMC8085142 DOI: 10.1186/s40798-021-00320-y] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/24/2020] [Accepted: 04/18/2021] [Indexed: 11/24/2022]
Abstract
High-dose exercise-induced cardiac outcomes may vary between sexes. However, many studies investigating the cardiovascular effects of high-dose exercise have excluded or under-recruited females. This scoping review aimed to describe the recruitment of females in studies assessing the impact of high-dose exercise on cardiovascular outcomes and describe how this has changed over time. This scoping review followed the protocol outlined by Arksey and O’Malley and is reported as per the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for scoping reviews (PRISMA-ScR) guidelines. The OVID and EMBASE databases were searched for studies that assessed the effects of high-dose exercise on cardiovascular outcomes. Both professional and nonprofessional groups were included. The review found 2973 studies, and 250 met the inclusion criteria including cumulatively 17,548,843 subjects. Over half the studies (n = 127) excluded females entirely, and only 8 (3.2%) studies recruited all-female participants. The overall mean percentage of females recruited was 18.2%. The mean percentage was 14.5% in studies conducted before 2011 and 21.8% in studies conducted after 2011. Females are an underrepresented group in studies assessing the cardiovascular outcomes related to high-dose exercise. As cardiovascular outcomes vary between sexes, translating findings from a largely male-based evidence may not be appropriate. Future investigators should aim to establish and overcome barriers to female recruitment.
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Affiliation(s)
- Roshan Patel
- College of Life Sciences, University of Leicester, Leicester, UK
| | - Caitlin L Kemp
- College of Life Sciences, University of Leicester, Leicester, UK
| | | | - Nicholas Peckham
- Centre for Statistics in Medicine, University of Oxford, Oxford, UK
| | - Vageesh Jain
- Institute for Global Health, University College London, London, UK
| | - Gerry P McCann
- NIHR Leicester Biomedical Research Centre for Cardiovascular Disease, Glenfield Hospital, University of Leicester, Leicester, UK
| | - Susil Pallikadavath
- NIHR Leicester Biomedical Research Centre for Cardiovascular Disease, Glenfield Hospital, University of Leicester, Leicester, UK.
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