| Literature DB >> 35165084 |
Sebastien Racinais1, George Havenith2, Polly Aylwin2, Mohammed Ihsan3,4, Lee Taylor5,6, Paolo Emilio Adami7,8, Maria-Carmen Adamuz3, Marine Alhammoud3, Juan Manuel Alonso3, Nicolas Bouscaren9,10, Sebastian Buitrago11, Marco Cardinale3,12, Nicol van Dyk3,13, Chris J Esh3,14, Josu Gomez-Ezeiza15, Frederic Garrandes7,8, Louis Holtzhausen3,16, Mariem Labidi3, Gűnter Lange7, Alexander Lloyd2, Sebastien Moussay17, Khouloud Mtibaa18, Nathan Townsend19, Mathew G Wilson3,12, Stephane Bermon7,8.
Abstract
PURPOSE: To determine associations between thermal responses, medical events, performance, heat acclimation and health status during a World Athletics Championships in hot-humid conditions.Entities:
Keywords: exercise; hot temperature
Mesh:
Year: 2022 PMID: 35165084 PMCID: PMC8995810 DOI: 10.1136/bjsports-2021-104569
Source DB: PubMed Journal: Br J Sports Med ISSN: 0306-3674 Impact factor: 13.800
Races and athletes characteristics
| Marathon | 20KRW | 50KRW | ||||
| Women | Men | Women | Men | Women | Men | |
|
| ||||||
|
| 23:59 | 23:59 | 23:59 | 23:30 | 23:30 | 23:30 |
|
| 32.0±0.7 | 29.3±0.5 | 31.6±0.8 | 32.7±0.2 | 31.1±0.5 | 31.1±0.5 |
|
| 77.9±2.3 | 46.3±1.0 | 76.6±3.2 | 80.6±1.1 | 75.7±3.0 | 75.7±3.0 |
|
| 0.1±0.2 | 0.4±0.5 | 0.3±0.4 | 1.7±0.4 | 0.4±0.7 | 0.4±0.7 |
|
| 29.6±0.3 | 23.5±0.4 | 28.9±0.5 | 30.6±0.3 | 28.2±0.9 | 28.2±0.9 |
|
| ||||||
|
| 68 | 73 | 45 | 52 | 23 | 44 |
|
| 30.6±5.1 | 31.0±4.0 | 26.9±5.9 | 28.1±4.3 | 29.4±5.1 | 31.5±5.9 |
|
| 162±5 | 176±7 | 163±7 | 179±7 | 166±6 | 179±7 |
|
| 48.3±4.3 | 61.6±5.0 | 50.4±4.3 | 64.6±5.9 | 52.4±6.8 | 67.6±6.4 |
|
| ||||||
|
| 40 (59) | 55 (75) | 39 (84) | 40 (77) | 17 (40) | 28 (64) |
|
| 31.0±5.7 | 31.3±4.0 | 27.6±5.9 | 28.3±4.4 | 30.0±4.6 | 31.8±5.9 |
|
| 161±6 | 176±7 | 162±7 | 178±8 | 166±5 | 182±6 |
|
| 47.9±5.3 | 61.6±5.0 | 49.9±4.5 | 64.9±6.2 | 52.7±7.3 | 70.0±6.2 |
|
| 28 (41) | 18 (25) | 3 (7) | 7 (13) | 6 (26) | 13 (30) |
|
| 30.0±4.2 | 30.1±3.8 | 23.5±5.9 | 28.6±3.3 | 27.8±6.3 | 31.3±5.8 |
|
| 163±5 | N/A | 165±9 | 184±2 | 166±11 | 174±6 |
|
| 48.8±2.6 | N/A | 53.3±1.5 | 63.9±7.3 | 51.5±7.8 | 64.4±5.8 |
|
| ||||||
|
| 32 (47) | 12 (16) | 6 (13) | 3 (6) | 6 (26) | 11 (25) |
|
| 29.5±5.3 | 30.8±3.9 | 28.0±7.7 | 32.8±4.2 | 29.2±5.8 | 31.1±7.8 |
|
| 162±6 | N/A | 164±6 | 185±N/A | 168±7 | 181±6 |
|
| 49.1±3.3 | N/A | 47.4±4.0 | 70±N/A | 55.3±6.7 | 67.1±6.5 |
|
| ||||||
|
| 115±5 | 106±4 | 112±4 | 119±6 | 111±4 | 115±5 |
Values in mean±SD.
DNF, did not finish; KRW, km race-walk; N/A, not available; %PB, percentage of personal best; RH, relative humidity; WBGT, wet-bulb globe temperature.
Number of participants for the different measures
| Core | Skin | Core to skin | ||
| Temperature | Temperature | Gradient | ||
| All | 56 | 107 | 50 | |
| Finisher | Did not finish | 12 | 21 | 8 |
| Finisher | 38 | 82 | 38 | |
| In-race illness | Yes | 9 | 43 | 8 |
| No | 47 | 64 | 42 | |
| Recent illness | Diarrhoea | 6 | 7 | 6 |
| No diarrhoea | 37 | 51 | 32 | |
| Acclimation | Yes | 29 | 35 | 25 |
| No | 17 | 28 | 16 | |
Figure 1Rain clouds30 of the core temperature, skin temperature and core to skin temperature gradient at the end of the races. Mean±SD and individual values for the did not finish (DNF)/finishers (top panels), and for the athletes being/not being admitted to the medical facility for an in-race illness (bottom panels); *p<0.05.
Figure 2Recent illness (in the 10 days preceding the World Championships). *P<0.05.
Figure 3Proportion of athletes who acclimated for 5–30 days ahead of the World Championships (top left), main methods for acclimation (bottom left) and effects on other variables (right panel). DNF, did not finish; HA, heat acclimation; Live, athletes declaring to live in a hot country; Medical, admittance to the medical facility for in-race illness; temp, temperature; 20KRW, 20 km race-walk; 50KRW, 50 km race-walk.