- Meeting abstract
- Open Access
The effect of heat acclimation or acclimatisation on physiological markers of heat adaptation: preliminary meta-analysis data
Extreme Physiology & Medicine volume 4, Article number: A110 (2015)
Exercise in the heat places a greater physiological strain upon the body than exercising in temperate conditions, so a number of strategies have been adopted to attenuate this strain. Heat acclimation (or acclimatisation) (HA) has regularly been reported to induce beneficial cardiovascular and thermoregulatory adaptations. However, the magnitudes of benefit reported range from none to substantial, and the differences reported may be due to a wide range of HA protocols being used. The aim of this meta-analysis was to quantify the magnitude of effect that HA has on key physiological markers of adaptation, and to see whether the magnitude of effect is related to the volume or intensity of heat stress experienced.
The PubMed database was searched (09/01/15) using the first-order search terms acclimation, acclimatization, acclimatisation and adaptation and second-order search terms heat, exercise, performance, capacity and training. Using the four-stage process identified in the PRISMA statement the initial number of results (9,369) was reduced to 92. Data (N, mean, SD) were extracted from these articles in duplicate or triplicate. A subset of the data (n = 46 manuscripts) is presented here; manuscripts were included if resting core temperature (Tcore), resting heart rate (HR), resting plasma volume (PV) and/or core temperature at sweat onset (Tsweat onset) data were reported. All HA protocols regardless of duration, frequency, ambient conditions or exercise modality were used. Hedge's g ( ± 95% CI) were calculated and Spearman's correlation analyses were performed between the effect size and total HA time (HAtime), and HA temperature (HAtemp).
The 46 manuscripts reviewed used a mean (SD) of 9 (0) [range: 4 - 16] HA sessions separated by 0 (0) [0 - 1.5] days. Total HAtime was 868 (558) min [150 - 2,880], and the HAtemp and HAhumidity were 39 (5) °C [28 - 50] and 36 (16) % [14 - 86], respectively.
HA is an effective way to reduce resting Tcore and HR; increase resting PV, and lower the Tsweat onset. The magnitude of effect appears to be independent of HAtime or HAtemp for each of the 4 variables with the exception of Tsweat onset, which may be inversely related to HAtime; however, these latter data are derived from only 6 investigations.