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Despite Living in a Cold Region, the Months of Testing Matter for Thermoregulatory Research
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Purpose: To test the hypothesis that the month at which participants
complete their first heat exposure will impact the magnitude of adaptations
following a 5-day heat acclimation (HA) intervention. Methods: Physically
active individuals (n=42) first completed the Israeli Defense Force heat
tolerance test (HTT1; 5.0 km·h -1 , 2% grade, 120min,
40°C, 40% relative humidity) and then a modified heat tolerance test (HTT2;
65% vVO 2 max, 2% grade treadmill run, 40°C, 40%
relative humidity, until rectal temperature reached 39.5°C) before (pre-HA)
and after (post-HA) a 5-day HA protocol. Absolute changes (Δ) for variables
associated with the HA response across both HTTs were calculated between
post-HA and pre-HA. HTT1 variables include pre-exercise (T0) heart rate
(HR), peak HR, average HR, baseline rectal temperature (Trec), T0 Trec, peak
Trec, average Trec, Trec rate of rise (RoR), peak mean skin temperature,
whole body sweat loss (WBSL), post-exercise rating of perceived exertion
(RPE), post-exercise thermal sensation (TS), and post-exercise overall
fatigue (FAT). HTT2 variables include total exercise time, T0 HR, peak HR,
average HR, baseline Trec, T0 Trec, TrecRoR, peak mean skin temperature,
WBSL, RPE, TS, and FAT. All participants completed the study between
November and March and were grouped into three groups based on the month of
their first heat exposure: November/December (ND), January (J), and
February/March (FM) (n=13, 14, & 15, respectively). Comparisons between
groups for participant characteristics and Δ of the variables were conducted
using one-way ANOVAs and post hoc Tukey HSD (data are mean±SD; significance
p≤0.05). Results: There were no significant differences between groups for
age, height, weight, VO 2 max, lean mass or fat mass
percentage (p>0.05). Compared to ND and J, FM had greater reductions in
Δpeak Trec(FM: -0.57±0.33°C, ND: -0.16±0.37°C, J: -0.18±0.37°C, p<0.05)
and ΔTrec RoR (FM: -0.004±0.003°C·min -1 , ND:
0.000±0.003°C·min -1 , J: -0.001±0.001°C·min
-1 , p<0.05) during HTT1 as well as significant
reductions in Δaverage HR (FM: -19±10BPM, ND: -10±9BPM, p<0.05) and an
increase in ΔWBSL (FM: 0.13±0.39L, ND: -0.33±0.42L, p<0.05) compared to
ND. During HTT2, only ΔWBSL was significantly different between FM and J
(FM: 0.37±0.33L, J: 0.17±0.23L, p<0.05). Conclusion: Although all
participants were living in the New England region and began testing in the
late fall through the winter months (i.e., November to March), greater
magnitudes were identified in participants who were tested later into
fall/winter than participants who were tested earlier. The statistically and
clinically distinct differences highlight the importance of how the time of
year can influence adaptations associated with heat acclimation and
thermoregulatory research.
Funding: DoD BA200299
This abstract was presented at the American Physiology Summit 2025 and
is only available in HTML format. There is no downloadable file or PDF
version. The Physiology editorial board was not involved in the peer review
process.
American Physiological Society
Title: Despite Living in a Cold Region, the Months of Testing Matter for
Thermoregulatory Research
Description:
Purpose: To test the hypothesis that the month at which participants
complete their first heat exposure will impact the magnitude of adaptations
following a 5-day heat acclimation (HA) intervention.
Methods: Physically
active individuals (n=42) first completed the Israeli Defense Force heat
tolerance test (HTT1; 5.
0 km·h -1 , 2% grade, 120min,
40°C, 40% relative humidity) and then a modified heat tolerance test (HTT2;
65% vVO 2 max, 2% grade treadmill run, 40°C, 40%
relative humidity, until rectal temperature reached 39.
5°C) before (pre-HA)
and after (post-HA) a 5-day HA protocol.
Absolute changes (Δ) for variables
associated with the HA response across both HTTs were calculated between
post-HA and pre-HA.
HTT1 variables include pre-exercise (T0) heart rate
(HR), peak HR, average HR, baseline rectal temperature (Trec), T0 Trec, peak
Trec, average Trec, Trec rate of rise (RoR), peak mean skin temperature,
whole body sweat loss (WBSL), post-exercise rating of perceived exertion
(RPE), post-exercise thermal sensation (TS), and post-exercise overall
fatigue (FAT).
HTT2 variables include total exercise time, T0 HR, peak HR,
average HR, baseline Trec, T0 Trec, TrecRoR, peak mean skin temperature,
WBSL, RPE, TS, and FAT.
All participants completed the study between
November and March and were grouped into three groups based on the month of
their first heat exposure: November/December (ND), January (J), and
February/March (FM) (n=13, 14, & 15, respectively).
Comparisons between
groups for participant characteristics and Δ of the variables were conducted
using one-way ANOVAs and post hoc Tukey HSD (data are mean±SD; significance
p≤0.
05).
Results: There were no significant differences between groups for
age, height, weight, VO 2 max, lean mass or fat mass
percentage (p>0.
05).
Compared to ND and J, FM had greater reductions in
Δpeak Trec(FM: -0.
57±0.
33°C, ND: -0.
16±0.
37°C, J: -0.
18±0.
37°C, p<0.
05)
and ΔTrec RoR (FM: -0.
004±0.
003°C·min -1 , ND:
0.
000±0.
003°C·min -1 , J: -0.
001±0.
001°C·min
-1 , p<0.
05) during HTT1 as well as significant
reductions in Δaverage HR (FM: -19±10BPM, ND: -10±9BPM, p<0.
05) and an
increase in ΔWBSL (FM: 0.
13±0.
39L, ND: -0.
33±0.
42L, p<0.
05) compared to
ND.
During HTT2, only ΔWBSL was significantly different between FM and J
(FM: 0.
37±0.
33L, J: 0.
17±0.
23L, p<0.
05).
Conclusion: Although all
participants were living in the New England region and began testing in the
late fall through the winter months (i.
e.
, November to March), greater
magnitudes were identified in participants who were tested later into
fall/winter than participants who were tested earlier.
The statistically and
clinically distinct differences highlight the importance of how the time of
year can influence adaptations associated with heat acclimation and
thermoregulatory research.
Funding: DoD BA200299
This abstract was presented at the American Physiology Summit 2025 and
is only available in HTML format.
There is no downloadable file or PDF
version.
The Physiology editorial board was not involved in the peer review
process.
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