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European Journal of AppliedPhysiology ISSN 1439-6319Volume 113Number 11 Eur J Appl Physiol (2013) 113:2723-2735DOI 10.1007/s00421-013-2697-5
Thermal perceptions and skin temperaturesduring continuous and intermittentventilation of the torso throughout andafter exercise in the heat
Sarah L. Davey, Martin J. Barwood &Michael J. Tipton
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ORIGINAL ARTICLE
Thermal perceptions and skin temperatures during continuousand intermittent ventilation of the torso throughoutand after exercise in the heat
Sarah L. Davey • Martin J. Barwood •
Michael J. Tipton
Received: 5 March 2013 / Accepted: 15 July 2013 / Published online: 23 August 2013
� Crown Copyright 2013
Abstract
Objective This study tested the hypothesis that intermit-
tent cooling in air-perfused vests (APV) will not only
maintain thermal balance but, due to cyclical activations
of cutaneous thermoreceptors, also enhance thermal
perceptions.
Method Ten physically active males completed four
conditions where they exercised (walking: 5 km h-1, 2 %
gradient) in a hot environment (*34.0 �C, 50 % RH) for
72 min, followed by a 33-min period of rest. They wore an
APV throughout. The four conditions differed in respect to
the profile of ambient air that was perfused through the
APV: continuous perfusion (CP); intermittent perfusion of
6 min ON/OFF periods (IPonoff); a steady increase and
decrease in flow rate in equal increments (IPramp); and an
initial step-increase in the flow rate followed by an incre-
mental decrease to zero flow rate (IPtriang). Whole body and
torso thermal comfort (TC, TTC), whole body and torso
temperature sensation (TS, TTS), whole body and torso
skin temperature ( �Tsk, �Tsktorso), local relative humidity
(RHtorso) and rectal temperature (Tre) were measured.
Results There were no significant differences in Tre,
absolute whole body and local �Tsk, TC, TTC and TS
between the cooling profiles. However, TTS was cooler in
CP and IPramp than IPonoff and IPtriang. Even though inter-
mittent cooling did not significantly enhance thermal per-
ceptions in CP, a trend existed for TC (P = 0.063) to
become less favourable over time.
Conclusion To reduce the power consumption and extend
the battery life of an APV, it is recommended that an
intermittent cooling profile should be adopted.
Keywords Thermal comfort � Temperature
sensation � Skin temperature � Hyperthermia �Protective clothing � Cooling garments � Exercise � Heat
Introduction
Occupational groups such as the military, construction
workers, miners, firefighters, and sportsmen can be
required to wear personal protective clothing (PPC), which
is typically thick, multi-layered and impermeable to
moisture; all factors that limit heat transfer from the body.
Therefore, in many situations, wearing PPC in hot envi-
ronments, or during high intensity physical activity, can
cause uncompensable heat strain that results in the body
being unable to maintain thermal balance (Cheung et al.
2000). It is well documented that, in humans, a 1–3 �C rise
in deep body temperature can induce fatigue (Nybo and
Nielsen 2001) and reduce cognitive ability (Hancock et al.
2007). This can have a detrimental effect on physical
performance (Walters et al. 2000) and the ability to per-
form work-related tasks (Sawka et al. 1992). Personal
cooling garments (PCGs), such as liquid or air-perfused
garments, have been developed to combat the negative
effects of wearing PPC. These garments remove stored heat
either through conduction, convection or evaporation,
thereby helping to maintain thermal balance (McLellan
Communicated by Narihiko Kondo.
S. L. Davey (&)
Environmental Ergonomics Research Centre, Design School,
Loughborough University, Loughborough LE11 3TU, UK
e-mail: [email protected]
M. J. Barwood � M. J. Tipton
Department of Sport and Exercise Science,
Portsmouth University, Portsmouth, UK
e-mail: [email protected]
123
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DOI 10.1007/s00421-013-2697-5
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et al. 1999; Speckman et al. 1988) and thermal comfort
(Bomalaski et al. 1995; McLellan et al. 1999).
In general, the flow of air or liquid delivered to the PCG
is continuous. To provide efficient cooling over long
periods of time the garments have to be connected to a
refrigeration and/or air conditioning system or, if person-
ally mounted, supplied with a heavy duty battery. This can
restrict the movement of the wearer and increase their
metabolic activity (Dorman and Havenith 2009). It is also
possible that continuous cooling over long periods can
diminish the thermal comfort provided by the PCG as a
level of thermal adaptation may occur within peripheral or
central thermoreceptors, or at a conscious level (de Dear
and Brager 2001; Zhang 2003). This adaptation is evi-
denced by the observation that thermal comfort levels can
be similar with, or without, a continuously cooled PCG
under PPC during moderate exercise in hot, dry conditions,
even though skin temperatures are cooler when a PCG is
worn (i.e. chest temperature *2 �C lower, back skin
temperature *1 �C lower) (Barwood et al. 2009).
It is well known that changes in thermal comfort are
experienced during rapid temperature changes as opposed
to constant temperatures, largely due to the dynamic
characteristics of cutaneous thermoreceptors (de Dear et al.
1993; Zhang 2003). It has also been suggested that, over
time, appropriately designed transient thermal environ-
ments can achieve higher levels of thermal comfort than
stable environments (Arens et al. 2006; de Dear 2011).
This suggests that the problem of unimproved thermal
comfort during continuous cooling in PCGs might be
overcome by providing dynamic cooling via intermittent
cooling profiles. The resulting fluctuations in skin tem-
perature may not only maintain thermal comfort, but pos-
sibly improve it over time whilst potentially increasing
battery life and the efficacy of a PCG.
To prevent situations where improvements in thermal
perceptions mask dangerous elevations in deep body tem-
perature, it is important that intermittent cooling profiles
also maintain thermal balance. Previous research has
shown that intermittent cooling cycles (ratio 1:1) of up to
10 min are as effective at reducing stored heat as contin-
uous cooling (Cadarette et al. 2006; Stephenson et al.
2007). In contrast, relatively few investigations have
evaluated the effects of intermittent cooling in PCGs on
thermal perceptions during continuous exercise. The results
from these few studies are conflicting; fluctuating skin
temperatures were found to either increase (Hexamer and
Werner 1997), make no difference to (Vernieuw et al.
2007), or decrease thermal comfort (Keatinge et al. 1986).
These contradictory findings may be the result of several
methodological limitations, e.g. low sample size (Hexamer
and Werner 1997) and a limited recording frequency
of perceptual measurements (Vernieuw et al. 2007).
Furthermore, these conclusions are drawn from the per-
formance of liquid-perfused garments which, from a
practical and logistical perspective, are of limited use in the
field because of their large bulk and high energy demands.
Therefore, the effect of intermittent cooling profiles on
thermal perceptions in air-perfused garments is relatively
unknown.
Intermittent cooling profiles can be provided in many
forms: ramp or step-changes (rapid changes), cyclical
(sinusoidal) or drifts (monotonic, steady changes). Several
investigations examining ventilation in buildings have
shown that the type of intermittent cooling can influence
thermal comfort (Arens et al. 1998; de Dear et al. 1993;
Tanabe and Kimura 1994; Zhou et al. 2006), with sinu-
soidal profiles often being found to be the preferred choice
(de Dear et al. 1993; Tanabe and Kimura 1994; Zhou et al.
2006). To our knowledge, the effects of different inter-
mittent cooling profiles used in an air-perfused garment
(APG) on thermal balance and thermal comfort have not
been investigated, despite the advantages of APGs over
their liquid-perfused equivalents (Shapiro et al. 1982;
Speckman et al. 1988). Therefore, the main aim of this
study was to examine the influence of cooling profiles in an
air-perfused vest (APV) to identify which profile is the
most effective at maintaining thermal balance and
enhancing thermal comfort. It was hypothesised that (1)
there will be no significant difference in thermal balance
between intermittent and continuous cooling, but (2) the
use of and (3) the type of intermittent cooling will signif-
icantly influence thermal perceptions.
Method
Participants
Ten physically active males volunteered to participate in
the experiment [mean (SD); age 24.3 (4.3) years; height
1.78 (0.05) m; mass 73.1 (7.9) kg; body surface area 1.90
(0.10) m2; body fat 15.6 (1.7) %]. The study protocol was
approved in advance by the University of Portsmouth
Ethics Committee and the participants gave their written
informed consent to participate.
General design
Each participant completed four conditions where they
exercised (walking on a treadmill) at a low-intensity
(5 km h-1, 2 % gradient) in a hot environment (*34.0 �C,
50 % RH, WBGT = 28.44 �C) for 72 min, followed by a
33-min period of rest. Each condition was separated by
2–4 days to eliminate any acclimation and the order of
the conditions was balanced using a Latin square. To
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investigate the effects of different types of cooling profiles
on thermal perceptions, the four conditions only differed by
the type of cooling profile that was perfused through a
APV. The four cooling profiles were: (a) continuous per-
fusion of ambient air (35 �C, *14 % RH) into the vest at a
flow rate of 339.8 L min-1 (CP), (b) intermittent perfusion
of ambient air at a flow rate of 339.8 L min-1 in 6 min
ON/OFF periods (IPonoff), (c) a steady increase and
decrease of the flow rate between 0 and 339.8 L min-1 in
1 min increments (IPramp) and (d) an initial increase in flow
rate from 0 to 339.8 L min-1 followed by an incremental
decrease (every 2 min) in flow rate to 0 L min-1 (IPtriang).
Cooling profiles IPonoff, IPramp, IPtriang were designed to
have a total flow of air during each condition of
17,841.61 L which was exactly half of that ventilated
during CP (35,683.20 L) (Fig. 1). Thermal perceptual
measures of overall thermal comfort (TC), torso thermal
comfort (TTC), overall temperature sensation (TS) and
torso temperature sensation (TTS) were collected every
3 min. Physiological measurements of rectal temperature
(Tre), mean skin temperature ( �Tsk), torso skin temperature
( �Tsktorso), torso relative humidity (RHtorso) and heart rate
(fc) were recorded every minute.
Procedure
Upon arrival to the laboratory, the participants were
instructed to empty their bladder before nude and clothed
body masses were measured. The participants then self-
inserted a rectal thermistor (DS18B20, MSR, Switzerland)
12 cm beyond the anal sphincter. They were then instru-
mented for the measurement of local skin temperature
(Tskloc) (DS18B20 T-3, MSR, Switzerland), torso percent-
age relative humidity (RHtorso) (SHT15, MSR, Switzer-
land) and heart rate (fc) (Team Polar, Polar�, Finland). To
prevent high levels of thermal stress obscuring any dif-
ferences that may occur between the cooling profiles, it
was decided that the participants would not wear the type
of PPC (i.e. high thermal and evaporative resistance) that is
typically worn when APV’s are utilised. Therefore, each
participant wore polyester jogging trousers, Lycra briefs,
cotton boxer shorts, a cotton long-sleeved shirt
(*clo = 1.2) and an APV (GORE� Active cooling). The
APV was worn directly over the skin of the torso under-
neath the long-sleeved shirt. The same rationale for the
choice of clothing was applied to the selection of the
ambient conditions used in this study. It was reasoned that
Fig. 1 A schematic diagram of the different cooling profiles that were perfused through the APV throughout the exercise and rest periods. Six
consecutive profiles were ventilated through the APV during exercise and three consecutive profiles during the rest period
Eur J Appl Physiol (2013) 113:2723–2735 2725
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if differences did occur between the cooling profiles (e.g.
intermittent cooling profiles enhance perception when
compared to continuous), further investigations could
clarify the optimal levels of thermal stress for intermittent
cooling profiles to remain an effective alternative to con-
tinuous cooling.
Once instrumented, resting physiological measurements
were taken. The participant then entered an environmental
chamber for the commencement of the experimental ses-
sion. To reduce the time taken to reach thermal stability,
each session began with the participant jogging at a self-
selected speed for 10 min (Newton et al. 2009). A reduc-
tion in this stabilisation period was deemed necessary to
prevent fatigue or boredom; both of which could influence
thermal perceptions. A participant’s jogging speed was the
same for each condition. Immediately after the jog, the
participant entered their ‘after jog’ perceptual votes. Air
(35 �C, *14 % RH) was then ventilated into the APV and
the participant started their 72 min walk on the treadmill at
5 km h-1 (1.39 m s-1) at a 2 % gradient. Based on the
mean oxygen consumption of each of the participants that
was measured 10 min into the walking phase [i.e. 1.16
(0.25) L min-1], this exercise intensity equated to *30 %
of the average males _VO2max (ACSM 2010). Each experi-
ment started with an initial 3 min ventilation of air at a
flow rate of 339.8 L min-1. This was incorporated to
ensure that the initial ventilation of air experienced after
the run elicited similar thermal perceptual responses in all
of the cooling profiles. With the exception of the contin-
uous profile, this 3-min period was followed by the stage in
the cooling profiles where the rate of air flow started to be
reduced (Fig. 1). The 72 min walk was followed by a
resting period of 33 min during which the participants sat
on a wooden stool located beside the treadmill. The dura-
tion of the exercise and rest periods was selected to ensure
that each condition had the same number of cooling cycles.
To prevent feelings of thermal discomfort promoted by the
warm-hot sensations due to heating of the facial region
(Zhang 2003), which could confound any perceptual ben-
efits derived from the different cooling profiles, air was
circulated (*0.90 m s-1) towards the participant from a
fan located 2.2 m in front of the treadmill.
Controlling air temperature and flow rate
The air perfused through the APV was sourced from a
compressor (Kaeser Compressions SX 3, Virginia, USA)
and had a constant relative humidity of *14 %. The flow
rate of the air was measured before and after each exper-
iment by a calibrated anemometer (Flowcheck Y630,
Micronel�, Switzerland).
Measurements
Perceptual measurements
Thermal perceptions were assessed using graphic Visual
Analogue Scales (VAS) that have been previously descri-
bed (Davey et al. 2007). Rating of perceived exertion
(RPE) was also recorded (Borg 1971). Each VAS com-
prised 160 units and included the following descriptors;
thermal comfort: 10 = very comfortable, 34 = comfort-
able, 58 = just comfortable, 104 = just uncomfortable,
uncomfortable = 128, very uncomfortable = 153, tem-
perature sensation: very cold = 6, cold = 24, cool = 40,
slightly cool = 64, neutral = 80, slightly warm = 100,
warm = 118, hot = 137, very hot = 156. To make the
entry of perceptions easier for participants when walking,
the VAS were presented on a touch screen monitor. Per-
ceptual scores were recorded every 3 min to ensure that
perceptions were evaluated at every stage of a cooling
cycle (i.e. when air flow was either reduced, increased or
remained stable).
To familiarise the participants to the perceptual scales
and the experimental set up, each participant undertook a
familiarisation session prior to the main experiment.
Each familiarisation session comprised of two phases.
The first phase involved providing each participant with a
written description of the concept behind each of the
perceptual measures that was originally adapted from
Gagge et al. (1967) and testing their understanding of the
concept. The second phase involved familiarising the
participant to the mode of entering their perceptual votes
(i.e. using the touch screen monitor) whilst walking on
the treadmill at 5 km h-1, 2 % gradient. The familiari-
sation session took place in the same laboratory as the
main experiment.
Having undertaken all conditions, participants were
asked to describe the order that they thought the cooling
profiles were ventilated through the APV. They were then
asked to identify which cooling profile was their preferred
choice and explain why.
Calculations
Sweat rate
Sweat rate (sw) was calculated using Eq. (1).
sw L h�1� �
¼ ½Nude body mass ðbefore trialÞ� Nude body mass ðafter trialÞ�þ ðVolume of fluid consumed
� Volume of fluid excretedÞ=Time (h): ð1Þ
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Mean skin temperature
Mean skin temperature ( �Tsk) was calculated according to
the equation of Hardy and Dubois (1938) (ISO 2002):
�Tsk ¼ 0:07THead þ 0:175TChest þ 0:175TBack þ 0:14TForearm
þ 0:05THand þ 0:07Foot þ 0:13TCalf þ 0:19TFront thigh:
ð2Þ
Torso skin temperature
�Tsktorso ¼ 0:5TChest þ 0:5TBack: ð3Þ
Torso skin relative humidity
RHtorso ¼ 0:5RHChest þ 0:5RHBack: ð4Þ
Sweat efficiency
Sweat efficiency was determined as the ratio of evaporative
versus non-evaporative sweat loss by the following
equation:
Eactual ð%Þ ¼ D nude body mass� D clothing massð Þ½D nude body mass= � � 100:
ð5Þ
Determination of body fat
Percentage of body fat of each participant was calculated
using the Siri equation (Siri 1961) based on the body
density (BD) that was estimated from the sum of seven
skinfolds (triceps, biceps, subscapular, iliac crest, calf,
thigh, supraspinale) by the equation developed by Withers
et al. (1987). Skin folds were measured using calipers
(Harpenden Instruments, West Sussex, UK).
Amplitude and rate of change of the fluctuations
in skin temperatures
The mean amplitude and rate of change in both �Tsk and�Tsktorso within a cooling profile were calculated for each
participant and then pooled to provide an overall mean for
each cooling profile. The response to the initial 3 min
ventilation of 339.8 L min-1 air after the 10 min jog was
excluded from the calculation.
Changes in physiological and perceptual measures
over time
To evaluate whether the skin temperatures and thermal
perceptions changed over time, the average �Tsk, �Tsktorso,
TS, TTS, TC and TTC was calculated for both the first and
last cooling cycles in each cooling profile, during both the
exercise and rest period.
Data analyses
To compare the effect of the different cooling profiles on
thermal balance, the physiological measures of Tre, �Tsk,�Tsktorso, sw, fc and Eactual were analysed using either a one-
way (condition) or a two-way (time 9 condition) ANOVA
with repeated measures at time points -10, 0, 25, 50, 75
and 105 min. The same analyses were performed to assess
any differences between the cooling profiles within and
between the exercise and rest periods. To evaluate any
difference in thermal perceptions between the cooling
profiles, the same analyses were conducted on the per-
ceptual measures (i.e. TS, TTS, TC, and TTC). For sphe-
ricity violations, the F values were corrected using the
Greenhouse-Geisser procedure. In cases where this occurs,
the modified degrees of freedom are provided after the
adjusted F value. To detect differences amongst means, a
significant F test, was further analysed with a Bonferroni
post hoc comparison test. Paired-sample t tests were used
to detect any differences between the cooling profiles in
their influence on both the physiological and perceptual
measures over time. This was completed for the exercise
and rest periods. A single binominal proportion test was
utilised to determine the participants’ overall preference of
cooling profile, as assessed by the post- experiment
interviews.
All statistical analyses were performed using SPSS 18.0
software (SPSS Inc. Chicago, IL). Statistical significance
was set at a level of a\ 0.05, with a trend in the data being
considered to occur if P C 0.05 \ 0.1. All data are pre-
sented as mean (±SD).
Results
Physiological
Rectal temperatures, �Tsk, �Tsktorso, fc, sw, Eactual and RPE
were similar between all the conditions during exercise and
rest (Table 1). In all of the conditions, thermal balance was
achieved within 25 min of the start of the walk and, upon
cessation of exercise, rectal temperature gradually
decreased to a value similar to that experienced at the
beginning of the experiment (i.e. prior to the initial 10 min
jog) (Fig. 2). During the post-exercise rest period, �Tsk, and�Tsktorso, significantly decreased in all conditions with no
significant difference between the conditions (Fig. 3;
Table 1). Due to continuous air movement removing
moisture from the skin and surrounding air, RHtorso was
significantly lower in CP than all of the other conditions
(P = 0.001) and significantly higher in IPonoff than all the
other conditions (P = 0.001) (F = 121.75, r = 0.931,
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b = 0.989, P \ 0.001). These differences occurred during
both exercise and rest. There was a significant difference in
RHtorso between exercise and rest for IPonoff and IPramp
(P = 0.001) and for IPtriang (P = 0.005), but not for CP. In
addition, during exercise and rest, none of the amplitudes
in RHtorso in the intermittent cooling profiles were lower
than the percentage maintained in CP (Fig. 4; Table 1).
Perceptual data
Rating of perceived exertion
The rating of perceived exertion (RPE) was not different
between the four cooling profiles, with a mean RPE of 10
(±2) for each cooling profile (P [ 0.05).
Thermal perceptions
The participants’ mean whole body thermal comfort (TC)
and temperature sensation (TS) were not different between
the four cooling profiles during both exercise and rest
(P [ 0.05). However, during exercise, with CP, there was a
trend for participants to feel more uncomfortable over time
(P = 0.063) and during rest there was a trend for TC to
improve over time with IPonoff (P = 0.059) (Fig. 5;
Table 1). Thermal comfort was also similar between
exercise and rest with CP and IPonoff (P [ 0.05), but TC
was significantly improved in the transition from exercise
to rest with IPtriang (P = 0.023) and IPramp (P = 0.024)
(Table 1).
Torso thermal comfort was similar between each of the
cooling profiles during exercise and rest. With IPtriang and
IPramp, TTC was significantly improved in the transition
from exercise to rest (P = 0.009 and P = 0.038, respec-
tively), with a trend for participants to feel more com-
fortable with IPonoff during rest than exercise (P = 0.094).
No significant difference in TTC was found with CP
between exercise and rest (Table 1).
There was a main effect for condition in TTS during
exercise (F = 4.520, r = 0.334, b = 0.831, P = 0.011).
Table 1 Physiological and psychological responses to each of the different cooling profiles during both exercise and rest (±SD) (n = 10)
Variables Exercise Rest
Type of cooling profile Type of cooling profile
CP IPonoff IPtriang IPramp CP IPonoff IPtriang IPramp
HR (beats min-1) 107 (13) 107 (15) 105 (11) 106 (14)
BM reduction due
to water loss (%)a-0.54 (0.48) -0.46 (0.48) 1.22 (0.29) 1.30 (0.29)
Eactual (%)a 93.98 (4.22) 81.24 (24.80) 78.89 (28.17) 92.03 (5.44)
Sweat loss (L)a 1.14 (0.29) 1.16 (0.34) 1.22 (0.29) 1.30 (0.29)
Final Tre (�C) 38.12 (0.38) 37.97 (0.35) 37.94 (0.36) 37.93 (0.39) 37.83 (0.38) 37.77 (0.30) 37.70 (0.30) 37.78 (0.38)
�Tsk (�C)b 35.85 (0.57) 35.84 (0.49) 35.85 (0.45) 35.89 (0.41) 35.52 (0.79) 35.50 (0.72) 35.40 (0.71) 35.46 (0.75)
�Tsktorso (�C)b 35.80 (0.54) 35.96 (0.47) 35.93 (0.52) 35.93 (0.66) 35.25 (0.86) 35.45 (0.32) 35.11 (0.87) 35.07 (0.95)
RHtorso (%) 46.31 (8.62)c 68.37 (7.81)d,e 61.20 (8.92)e 62.03 (8.20)e 42.77 (7.36) 61.29 (12.05) 55.28 (12.44) 54.29 (9.10)
TC 69.25 (31.32) 70.52 (25.13)f 72.50 (26.77)g 69.60 (27.60)g 62.31 (27.98) 62.88 (22.78) 59.73 (23.12) 59.76 (23.31)
TS 91.33 (26.51) 94.66 (18.51) 91.56 (27.32)h 91.83 (20.34)h 86.84 (22.60) 89.60 (16.28) 87.53 (26.02) 86.53 (20.67)
TTC 59.27 (27.77) 64.50 (22.54) 65.97 (26.67)i 59.71 (27.60)i 53.93 (20.55) 58.37 (19.07) 53.70 (20.38) 53.33 (19.47)
TTS 76.73 (29.00) 82.85 (18.60)j 87.20 (19.73) 75.88 (19.04)k 77.41 (24.00) 77.10 (16.75) 82.55 (16.75) 73.28 (19.66)
a Measurements calculated over the whole experimental session (i.e. exercise and rest)b Significant difference between exercise and rest for all cooling profilesc Significant difference between CP and all (P \ 0.001)d Significant difference between IPonoff and all (P \ 0.001)e Significant difference between exercise and rest, IPonoff and IPramp (P = 0.001), and for IPtriang (P = 0.005)f Trend for a difference between exercise and rest (P = 0.094)g Significant difference between rest and exercise, IPtriang (P = 0.023) and IPramp (P = 0.024)h Trend for a difference between rest and exercise, IPtriang (P = 0.074) and IPramp (P = 0.059)i Significant difference between exercise and rest, IPtriang (P = 0.009), IPramp (P = 0.038)j Significant difference between exercise and rest (P = 0.021)k Significant difference between Ipramp and IPonoff (P = 0.029) and IPtriang (P = 0.000)
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Post hoc analysis identified that TTS was significantly
cooler with IPramp than both IPtriang (P \ 0.001) and
IPonoff (P = 0.029), but similar to CP (P [ 0.05). Dur-
ing rest, TTS was not different between the cooling
profiles, but there was a trend for TTS to increase over
time with CP (P = 0.091). TTS between exercise and
rest was only significantly different with IPonoff
(P = 0.021), with participants feeling cooler (Fig. 6;
Table 1).
Subjective comments
In the post-trial interviews, all participants could accurately
recall the chronological order of the different cooling
profiles that were assigned to them. Therefore, it was
assumed that their subjective comments were specific to
each of the cooling profiles.
Out of the four cooling profiles, participants mostly
preferred CP (4/10), with IPramp being the second most
Fig. 2 Average Tre during
exercise and rest in each cooling
profile (n = 10), *significant
difference between -10 and all
time points except for 105 min
(P \ 0.001), �significant
difference between 25 and all
time points except for 50 and
75 min (P \ 0.001),Usignificant difference between
0 all time points except for 75
and 105 min (P \ 0.05). Error
bars are removed to aid the
clarity of the diagram
Fig. 3 Average mean torso skin
temperature during exercise and
rest in each cooling profile
(n = 10). Error bars are
removed to aid the clarity of the
diagram
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preferred (3/10). However, the proportions of votes were
not enough to be statistically distinct from the other two
cooling profiles, IPtriang (2/10), IPonoff (1/10) (P [ 0.05).
By examining the subjective comments of the participants,
the factors that influenced the participants’ choice of
cooling profile fell into two common themes: (1) the
cooling profile that felt the coolest, and (2) the cooling
profile that felt the most ‘‘stable’’. The top three reasons
why the participants may not have chosen a cooling profile
as their preferred choice were because it felt either: (1) too
hot, (2) too cold, or (3) had too many fluctuations. In some
cases, participants indicated a preference for a constant,
warmer air temperature provided by the APV (in all cases
the participants believed the temperature of the air was
changed rather than the air flow) over a fluctuating cooler
temperature, as they preferred an element of stability.
Amplitudes of fluctuations and rate of change in the skin
temperatures
The fluctuation amplitudes of both �Tsk and �Tsktorso were
similar between the intermittent cooling profiles during both
exercise and rest (P [ 0.05). However, there was a signifi-
cant difference in the rate of change in �Tsktorso between the
Fig. 4 Average mean torso
relative humidity during
exercise and rest in each cooling
profile (n = 10). Error bars are
removed to aid clarity of the
diagram
Fig. 5 Mean thermal comfort
during exercise and rest in each
cooling profile (n = 10). Error
bars are removed to aid clarity
of the diagram. A trend exists
for TC to differ between the first
and last cooling cycle
(P = 0.063)
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two intermittent cooling profiles of IPtriang and IPonoff, [0.300
(±0.08) �C min-1 vs. 0.201 (±0.02) �C min-1, respec-
tively, (P = 0.029)] and a trend for a difference between
IPtriang and IPramp [0.300 (±0.08) �C min-1 vs. 0.200
(±0.05) �C min-1, respectively (P = 0.080)].
Discussion
In the current study, three different intermittent cooling
profiles [i.e. step-change (IPonoff), sinusoidal (IPramp), and
sawtooth (IPtriang)] were perfused through an APV and
assessed for their effect on both thermal balance and
thermal perceptions in comparison to continuous cooling.
The results indicate that reducing the airflow through the
APV by 50 % using an intermittent cooling profile does not
negatively affect an individual’s thermal balance during
exercise in a hot environment. Therefore, the first
hypothesis that there would be no difference between the
four cooling profiles in thermal balance is accepted.
Reducing the airflow by 50 % also does not negatively
impact an individual’s local and overall thermal comfort
and temperature sensation. In addition, this reduction did
not negatively affect the rating of perceived exertion; a
subjective measure that can be influenced by increases in
thermal comfort (Robertson 1982). Therefore, the second
hypothesis is rejected. The sinusoidal intermittent cooling
profile (IPramp) led to a cooler torso skin sensation com-
pared to the other intermittent cooling profiles. Therefore,
the third hypothesis is accepted for torso temperature
sensation but rejected for the other thermal perceptions.
The findings from the post-experiment interviews suggest
that the main characteristics determining participants’
preference for a cooling profile were that it was ‘the
coolest’ and/or ‘most stable’. These factors should, there-
fore, be considered in any recommended optimal cooling
profile. In summary, the results from this study imply that,
if battery life is a concern for the design of air-perfused
garments, then an intermittent cooling profile (such as
sinusoidal) should be considered.
Maintenance of thermal balance
The results from the current study support previous
observations that reducing the cooling capacity of a PCG
via intermittent cooling does not negatively affect thermal
balance (Cadarette et al. 2006; Stephenson et al. 2007). In
this study, Tre, �Tsk, HR and sweat production were similar
between conditions despite the experimental manipulation
of cooling profiles. In studies comparing continuous with
intermittent cooling in liquid-perfused garments, the two
main reasons suggested for the maintenance of thermal
balance were: (1) the perfused liquid still acts as heat sink
when not circulated through the garment (Cadarette et al.
2006) and (2) fluctuating temperatures maintain a �Tsk
above the boundaries of the onset of vasoconstriction
(*33 �C) thereby maintaining a gradient between deep
body temperature and �Tsk necessary for heat dissipation
(Cadarette et al. 2006; Stephenson et al. 2007). Even
though the thermal conductivity of air is 25 times less than
that of water (0.024 vs. 0.58 W mK-1) and the main ave-
nues for heat loss in air-perfused garments are evaporation
Fig. 6 Mean torso temperature
sensation during exercise and
rest in each cooling profile
(n = 10). Error bars are
removed to aid clarity of the
diagram
Eur J Appl Physiol (2013) 113:2723–2735 2731
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and convection rather than conduction, these explanations
may also hold true for APVs. It appears that as long as the
air adjacent to the skin remains relatively unsaturated and
remains above the skin temperature threshold for vaso-
constriction (*33 �C), intermittent cooling profiles in
APVs can also maintain thermal balance similar to that of a
continuous cooling profile. Other possible explanations for
the maintenance of thermal balance in APVs are: (1) the
suggestion that fluctuations in skin temperature enhance
heat transfer at the skin by increasing the convective heat
transfer coefficients between air and the skin surface
(Mayer 1987) and (2) the thermal load in each condition
was sufficiently matched by the amount of sweat evapo-
rated from the regions of the body not covered by the APV.
Thermal perceptual responses to continuous vs.
fluctuating temperatures
Figures 3 and 4 demonstrate that varying the flow rate in
the intermittent cooling profiles was successful in produc-
ing fluctuations in �Tsktorso and RHtorso when compared with
continuous cooling. However, these fluctuations in skin
temperature did not appear to be of a sufficient magnitude,
or rate, to influence average thermal perceptions between
the cooling profiles. There are several possible explana-
tions for this result. Firstly, both mean body temperature
(as indicated by similar values of skin temperature and
rectal temperature between cooling profiles) and skin
wettedness (as indicated by similar values of % of sweat
evaporated from the skin, sweat rate and RHtorso between
the cooling profiles) were similar between the cooling
profiles. Given that thermal comfort is closely associated
with mean body temperature and/or skin wettedness, and
skin temperature is associated with temperature sensation
(Cabanac et al. 1971; Flouris and Cheung 2009; Frank et al.
1999; Toftum et al. 1998), it is unsurprising that no sig-
nificant differences were evident in the thermal perceptions
(i.e. TC or TS) between the cooling profiles. Secondly, the
magnitude of change in �T sk (±0.5 �C) caused by the
fluctuations in air flow in the intermittent cooling profiles
may not have been enough to promote the fluctuations in
TS that would distinguish them from CP. Third, the rate of
change in skin temperature caused by the intermittent
cooling profiles (i.e. between 0.2 and 0.3 �C min-1) may
not have been enough to promote significant differences
between the intermittent and continuous cooling profiles in
thermal perceptions. In a warm environment, rates of
change in local skin temperature of *-0.41 to
-0.49 �C min-1 have been suggested to be the thresholds
for eliciting significant changes in thermal comfort (Davey
et al. 2009; Zhang 2003). Lastly, the higher RHtorso in the
intermittent cooling profiles may have confounded the
influence that any fluctuations in skin temperature had on
the thermal perceptions. This possibility is supported by the
observation that during the experiment, in each intermittent
cooling profile, the amplitude of change in RHtorso never
reached a level lower than that of CP. However, during the
transition from exercise to rest, RHtorso was significantly
reduced in all the intermittent cooling profiles, whereas in
CP it remained the same. This reduction in RHtorso in the
intermittent cooling profiles coincided with improved
thermal perceptions (i.e. TC, TTC and TTS) for the inter-
mittent cooling profiles, whereas in the continuous profile
thermal perceptions remained the same.
The improvements observed in TC and TTC in the
intermittent cooling profiles due to the reduction in RHtorso
may have been caused by the well acknowledged positive
relationship between skin wettedness and thermal dis-
comfort (Gagge and Berglund 1986; Toftum et al. 1998).
The improved TTS score in IPonoff may have been caused
by an increase in the rate of sweat evaporation from the
skin of the torso during rest. Theoretically, the cessation of
exercise would have caused a gradual decrease in sweat
output due to a reduction in heat production and conse-
quential gradual fall in deep body temperature. A lower
sweat output would decrease the vapour pressure in the air
surrounding the torso skin and the saturated water vapour
pressure at the skin itself, thus creating a more favourable
gradient for the evaporation of sweat. Ackerley et al.
(2012) suggested that the rate of evaporation of water from
the skin is sensed by the faster-conducting cool Ad affer-
ents and, to an extent, a decrease in the firing of warm
unmyelinated afferents which, as a result, elicit cooler
temperature sensations. They also suggest that the skin is
very sensitive to changes of evaporation rates and therefore
they may not always be associated with differences in skin
temperature. No differences in skin temperature were
observed in the current study between the four cooling
profiles, but it is possible that different rates of evaporation
of sweat may have been experienced between the profiles
as the magnitude in fluctuations in RHtorso differed between
the cooling profiles (Fig. 4). Nevertheless, it is clear that
RHtorso was a significant driver of thermal perception at
key points in the present study.
Although no differences between the intermittent and
continuous cooling profiles were established in thermal
perceptions, there were differences between the intermit-
tent profiles. In the IPramp condition, TTS was significantly
cooler than the other intermittent cooling profiles, but
similar to CP. Our results, and those of others investigating
the effects of different types of air movements on thermal
perceptions (de Dear et al. 1993; Tanabe and Kimura 1994;
Zhou et al. 2006), suggest that the cooler sensations do not
appear to be related to absolute skin temperatures or the
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rate or amplitude of change in skin temperature; these
values were similar between IPramp and the other inter-
mittent cooling profiles. Therefore, another explanation is
required. One possibility is that the ability of sinusoidal
wave patterns to enhance temperature sensation is due to a
greater rate of recruitment of the thermoreceptors (Ring
et al. 1993; Lv and Liu 2007). Other explanations include:
firstly, a level of adaptation within the thermoreceptors
may have occurred in IPonoff during the ON periods when
the highest airflow rate was perfused through the APV.
This ON period (i.e. 6 min) was twice as long as the period
where the same flow rate of 339.8 L min-1 was perfused in
IPramp. As thermal perceptions are processed centrally, the
adaptation time for temperature sensation could approach
several minutes (Hensel 1981). Therefore, as the last 3 min
of the ON period only improved TC by -0.85 (a very small
amount of the TS scale), suggests a level of adaptation may
have occurred in IPonoff. This adaptation could have
attenuated any changes in TTS and TS. Secondly, the
significantly higher RHtorso present in IConoff may have
confounded the influence that any reductions in skin tem-
perature had on TTS and TS. Finally, within a cooling
cycle in IPtriang, three quarters of the time is spent warming
the skin, whereas in IPramp the cooling and warming peri-
ods were equal.
Overall preference in cooling profiles
The post-experiment interviews suggested that an individ-
ual’s choice of cooling profile is determined by the tem-
perature sensation it provides and the amplitude of
fluctuations in temperatures; in both cases, the lower the
better. These two requirements are similar to those found in
studies that have examined the effects of different air
movements on thermal perceptions in warm environments
(Fanger et al. 1988; Tanabe and Kimura 1994; Zhou et al.
2006). In these studies, air movements at high velocities, or
turbulence intensity, were not favoured as they produced
feelings of ‘draft’ or in some cases were described as
‘annoying’ (Fanger et al. 1988; Tanabe and Kimura 1994).
This may explain why the IPramp and continuous cooling
profiles were generally preferred over the other two cooling
profiles in the present study.
Determination of the optimal cooling profile
From the results of this study the following recommenda-
tions are provided for the design of cooling profiles in air-
perfused garments to be used in conditions similar to that
of this study.
1. The cooling profile should be that of a sinusoidal wave
pattern. This will not only provide cooler torso
temperature sensations than step-change or sawtooth
intermittent cooling profiles, but also require less
battery power. Generally, the battery power required to
switch from air flows of no velocity to a high velocity
is greater than steadily increasing the velocity of air
flow.
2. The cooling profile must maintain a RHtorso similar to
that in CP. The ratio of 1:1 ON/OFF periods in the
step-change profile investigated in this study produced
the highest levels of RHtorso. Therefore, ratios favour-
ing the ON periods are recommended to increase the
amount of evaporative and convective heat loss within
a cooling cycle. In addition, the periods of no airflow
within a cooling cycle should be \3 min.
3. The possibility that a level of adaptation occurred in
IPonoff during the ON periods suggests that the ON
period (i.e. 6 min) in this profile may have been too
long. Therefore, the peak airflow of a cooling cycle
should be \6 min.
4. The cooling profile should attempt to elicit a rate of
torso skin temperature change [-0.30 �C min-1
(preferably -0.49 �C min-1).
Limitations
The authors acknowledge that the results of this study are
limited to the three types of intermittent cooling profiles
that were investigated in this study and that many other
combinations of cooling cycles could have been tested
(e.g. length of cooling cycle, magnitude of air flow, time
period of air flow). The specific cooling cycles used in this
study were selected as fair comparisons could be per-
formed between them and continuous cooling. To further
clarify the benefit of using intermittent cooling profiles
that require half the amount of air in a given period of
time than continuous cooling, it would be of interest to
determine the effect on thermal balance and thermal
perceptions of continuous cooling at half the rate of
airflow.
It would also be of interest to compare the performance
of intermittent and continuous cooling profiles over a
longer period of time. In the current study, there were
trends in the continuous cooling profile for the participants
to become more uncomfortable over time during exercise
and their torso to feel warmer over time during rest. These
changes were not statistically, nor perceptually, significant.
Therefore, the second hypothesis was rejected. However, it
is possible that, as indicated in previous studies (de Dear
and Brager 2001; Zhang 2003), longer periods of exercise
(or rest) may have been required for a level of thermal
adaptation to occur within the thermoreceptors, or at a
conscious level, that would significantly alter thermal
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perceptions negatively and, as a result, may alter an indi-
vidual’s choice of cooling profile.
Conclusion
It is concluded that reducing the cooling capacity of a
cooling garment using an intermittent as opposed to a
continuous cooling profile does not compromise thermal
balance or thermal comfort during exercise in a hot envi-
ronment, but does reduce power consumption and thereby
extend battery life. Further investigations are required to
evaluate whether the recommendations provided for the
design of cooling profiles in air-perfused garments are
appropriate for more thermally stressful environments.
Acknowledgments This research is financially supported by Uni-
versity of Portsmouth and W.L. Gore & Associates. The authors
would like to thank Geoff Long, Mark Newton, and Nicola Ferguson
for all their technical support on this project and the participants for
their efforts.
Conflict of interest The authors declare that they have no conflict
of interest.
Ethical consideration This experiment was approved by the Uni-
versity of Portsmouth Biosciences Research Ethics Committee. It
complies with all current legislation, including the Declaration of
Helsinki, as adopted at the 52nd WMA General Assembly, Edin-
burgh, October 2000.
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