Explanatory models for using a precooling strategy during the 2015 IAAF World Championships presented as ORs (95% CI) calculated by simple and multiple logistic regression analyses
| 95% OR | ||
|---|---|---|
| In-championship use of precooling strategy | ||
| Simple models | Multiple model | |
| Sex | 1.64 (1.04 to 2.58) (p=0.034) | 1.92 (1.14 to 3.23) (p=0.014) |
| Age | NS | |
| Continent (reference: Europe) | p<0.001 | p<0.001 |
| Africa | 2.02 (0.91 to 4.53) (p=0.086) | 2.44 (1.07 to 5.59) (p=0.035) |
| Asia | 2.33 (1.18 to 4.62) (p=0.015) | 2.66 (1.32 to 5.36) (p=0.006) |
| Australia | 3.31 (0.64 to 17.20) (p=0.154) | 2.92 (0.55 to 15.44) (p=0.206) |
| North America | 1.45 (0.71 to 2.96) (p=0.305) | 1.51 (0.74 to 3.12) (p=0.261) |
| South America | 0.11 (0.05 to 0.29) (p<0.001) | 0.12 (0.05 to 0.30) (p<0.001) |
| Human Development Index (reference: very high-level countries) Lower developmental levels (very low-level, low-level, high-level countries) | 2.44 (1.53 to 3.88) (p<0.001) | |
| Event category (reference: speed/power events) Endurance events | 1.72 (1.09 to 2.72) (p=0.020) | |
| Prechampionships medical support available | NS | |
| Experience of heat-related symptoms | NS | |
| Previous EHI diagnosis | 2.73 (1.15 to 6.48) (p=0.023) | |
CI, confidence interval; EHI, exertional heat illness; IAAF, International Association of Athletics Federations; OR, odds ratio.