Influence of Muscle Cross-sectional Area in Skin Temperature
Eduardo Borba Neves
1,2
, Fabio Bandeira
1
, Leandra Ulbricht
1
, José Vilaça-Alves
3
and V.M. Reis
3
1
PPGEB, Federal Technological University of Paraná, Curitiba, PR, Brazil
2
DGP, Brazilian Army, Brasília, Brazil
3
CIDESD, University of Trás-os-Montes e Alto Douro, Vila Real, Portugal
Keywords: Thermography, Body Temperature, Skin Temperature, Musculoskeletal System.
Abstract: The present study aimed to determine the correlations among the arm subcutaneous fat percentage (SFP),
arm muscle cross-sectional area (MCSA), arm total cross-sectional area (TCSA), and the difference between
core temperature and skin temperature in biceps and triceps areas, measured using thermography. This
research focused on a cross-sectional study using a quantitative approach with participants consisting of
young, untrained volunteers from the city of Curitiba, Brazil. The total sample size was 20 volunteers
including 13 males and 7 females. A statistical correlation between MSCA and core and skin temperature
for the right and left biceps (r = -0.487, p = 0.030 / r = -0.518, p = 0.019), and also between TCSA core and
skin temperature for the right and left biceps (r = -0.513, p = 0.021 / r = -0.554, p = 0.011) was identified.
These results confirmed that arm muscle cross-sectional area influenced skin temperature at the biceps
region. This result can also be generalized to other areas of the skin, which show similar characteristics to
the studied area.
1 INTRODUCTION
Thermography use in the biomedical field has
increased significantly in the last decade (Bandeira
et al., 2012, Sanches et al., 2013, Bandeira et al.,
2014). Health professionals have used thermal
variations or absolute temperatures of the regions of
interest (ROI) to determine or assist in
diagnosis(Bandeira et al., 2014).
Since thermography measures the infrared
radiation emitted by the surface of the skin, and
heat-producing regions (heart and muscle) are
located in the innermost part of the body, there are
some factors that may influence the conduction of
internal heat to the skin’s surface. Bandeira et al.
(2012) suggested that one of these factors is the
layer of subcutaneous fat. Colman and Beraldo
(2010), Roschel et al. (2011), and Czuba et al.
(2013) suggest that the level of physical training
induces morphological changes in muscle tissue by
modifying the cross-sectional area of the muscle
(muscle hypertrophy), the type of muscle fiber, and
the amount of mitochondria and muscle vasculature.
Muscle hypertrophy is accompanied by increased
capillary density. This vascular change could also
alter the temperature of the skin over the considered
muscle. Although the layer of subcutaneous fat and
muscle hypertrophy have the potential to influence
the skin temperature (Tsk) at the considered ROI,
the relationship between these factors and skin
surface temperature was unable to be identified in
the literature.
Elucidation of these relationships can contribute
to a better understanding of human thermal
physiology. This knowledge can be applied
immediately in the development of products such as
sporting clothing (Bogerd et al., 2010) and work
accessories (Psikuta et al., 2013). Thus, the present
study aimed to determine the correlations among the
arm subcutaneous fat percentage (SFP), arm muscle
cross-sectional area (MCSA), arm total cross-
sectional area (TCSA) and the difference between
core and skin temperature in the biceps and triceps
measured using thermography.
2 METHODS
This research can be characterized by a cross-
sectional study with a quantitative approach,
conducted with young and untrained volunteers from
the city of Curitiba, Brazil.
64
Neves E., Bandeira F., Ulbricht L., Vilaça-Alves J. and Reis V..
Influence of Muscle Cross-sectional Area in Skin Temperature.
DOI: 10.5220/0005181500640068
In Proceedings of the International Conference on Bioimaging (BIOIMAGING-2015), pages 64-68
ISBN: 978-989-758-072-7
Copyright
c
2015 SCITEPRESS (Science and Technology Publications, Lda.)
2.1 Volunteer
This study was approved by Human Research Ethics
Committee of Campos de Andrade University
Center under CAAE number 28901414.3.0000.5218.
This study involved 26 volunteers selected among
graduate students in physical education. Six of them
were eliminated from the sample because they had
tympanic temperature below 35.6°C (Lu et al.,
2009), which would be incompatible with a healthy
condition. This usually occurs when the volunteer
has any anatomical changes in the ear canal. The
total size of sample was 20 volunteers (13 males and
7 females).
2.2 Instrumentation and Data
Acquisition
The infrared thermograms were taken in an
acclimatized room with temperature of 24ºC. The
volunteers remained in the room for 15 minutes
reaching thermal balance before the images
acquisition.
Thermal images were acquired from both arms
(i.e. biceps brachii and triceps brachii regions)
biceps. The core temperature (Tc) was measured by
tympanic access because the eardrum shares the
same arterial blood supply as the hypothalamus.
Measurements of tympanic temperature were
performed using a Braun Thermoscan infrared ear
tympanic thermometer.
Fluke-Ti10 thermal imager; a computer with
specific software to thermograms acquisition and
processing (Fluke Smartview 3.5); and a digital
thermo-hygrometer (Minipa® model MT241) for
room temperature and humidity monitoring were
also used.
The thermal imager has 160 X 120 focal plane
array, uncooled microbolometer, which has sensors
that allow measuring the temperatures ranging from
-20ºC to +250ºC. This camera presents sensitivity to
detect differences in temperature lower than 0.13ºC
and it has accuracy of ± 2ºC of absolute temperature.
The following equipment was used for the
anthropometric assessment: 0.5cm wide flexible
measure tape, graded until millimeters; calibrated
scientific adipometer (Cescorf ); stadiometer (WCS
Woody Compact) and one digital scale (Wiso
W801), with capacity of 0-180kg and grading of
100g.
Skinfold thickness was measured using the
triceps and bicepss. A single trained professional
collected this data three times which was used for
the calculation of the arithmetic average (Neves et
al., 2013).
The values for TCSA and MCSA were
calculated from the equations proposed by Frisancho
(1981). These calculations were also used in studies
of Pompeu et al. (2004) and Ripka et al. (2012)
which are described in the Equations 1 and 2.
 
4
(1)
 

4
(2)
Where: TCSA = arm total cross-sectional area (cm
2
),
MCSA = arm muscle cross-sectional area (cm
2
),
MAC = mid-arm circumference (cm) and TT =
triceps skinfold thickness (cm)
The Equations 3 and 4 were used to calculate the
SFP.
  
(3)

 
100
(4)
Where: FA = arm fat area (cm
2
) and SFP = arm
subcutaneous fat percentage (%).
2.3 Data Processing and Analysis
Each image was analyzed by Fluke Smartview 3.5
software. This program was set to treat each image
in the color palette red/blue, with emissivity of 0.98
and 24°C of background temperature (Neves and
Reis, 2014). The circle tool was used and the
average temperature of ROI over biceps and triceps
muscles was considered, as illustrated in Figure 1.
Figure 1: Illustration of right biceps thermogram analysis.
The Statistical analyses were performed with
Statistical Package for Social Sciences (SPSS,
version 21.0). Descriptive statistics (means and SD)
were used to summarize the characteristics of the
study sample, Shapiro-Wilk test was performed to
InfluenceofMuscleCross-sectionalAreainSkinTemperature
65
test the variable distributions, Pearson correlation
and t test for paired sample was used for the main
analysis. The statistical significance level was
defined as p < 0.05.
3 RESULTS
Core results for the study are located below in Table
1. The results of Shapiro-Wilk test showed a p value
ranging from 0.203 to 0.945 for the studies
variables.
Table 1: Average (Avg) and standard deviation (SD) of
studied variables, Curitiba-PR, Brazil, 2014.
Variables N Avg SD
Age (years) 20 26.40 9.10
tympanic temperature (°C) 20 36.14 0.35
Weight (Kg) 20 71.35 9.68
height (cm) 20 172.50 6.30
R triceps skinfold thickness (cm) 20 11.19 6.19
L triceps skinfold thickness (cm) 20 11.65 6.54
R biceps skinfold thickness (cm) 20 7.93 5.09
L biceps skinfold thickness (cm) 20 7.66 4.62
R MCSA (cm
2
)
20 69.14 27.93
L MCSA (cm
2
) 20 65.96 27.97
R triceps temperature (°C) 20 31.31 0.55
L triceps temperature (°C) 20 31.35 0.57
R biceps temperature (°C) 20 33.26 0.63
L biceps temperature (°C) 20 33.04 0.61
Δ R triceps temperature (°C) 20 4.82 0.61
Δ L triceps temperature (°C) 20 4.79 0.59
Δ R biceps temperature (°C) 20 2.88 0.70
Δ L biceps temperature (°C) 20 3.10 0.70
Legend: Avg = average, SD = standard deviation, R = right, L =
left, Δ = difference between core temperature and skin
temperature in considered area.
The t test for paired sample showed statistical
differences between biceps and triceps skinfold
thickness for both arms (p < 0.001). Figures 2 and 3
show the relationship between MCSA (cm
2
) and Δ
Temperature [core - skin] (°C) for the right and left
biceps, respectively.
Table 2 shows the results of Pearson correlations
among the studied variables.
Although SFP does not
correlate with MCSA in this study, it was also
carried out the calculation of the partial correlation
Figure 2: Scatter plot of relationship between right biceps
MCSA (cm
2
) and Δ Temperature [core - skin] (°C).
Figure 3: Scatter plot of relationship between left biceps
MCSA (cm
2
) and Δ Temperature [core - skin] (°C).
Table 2: Results of Pearson correlations among the
variables: arm muscle cross-sectional area, arm total cross-
sectional area, arm subcutaneous fat percentage and Δ =
difference between core temperature and skin temperature
in considered area, Curitiba-PR, Brazil, 2014.
Right side
MCSA TCSA SFP
Δ
triceps
temp
Pearson
-0.252 -0.217 0.234
p value
0.284 0.357 0.320
N
20 20 20
Δ
biceps
temp
Pearson
-0.487
*
-0.513
*
0.264
p value
0.030 0.021 0.261
N
20 20 20
Left side
MCSA TCSA SFP
Δ
triceps
temp
Pearson
-0.374 -0.371 0.317
p value
0.104 0.107 0.173
N
20 20 20
Δ
biceps
temp
Pearson
-0.518
*
-0.554
*
0.341
p value
0.019 0.011 0.141
N
20 20 20
* Correlation is significant at the 0.05 level (2 ends).
Legend: MCSA = arm muscle cross-sectional area (cm
2
), TCSA =
arm total cross-sectional area (cm
2
), SFP = arm subcutaneous fat
percentage (%), Δ = difference between core temperature and skin
temperature in considered area (°C).
BIOIMAGING2015-InternationalConferenceonBioimaging
66
between MSCA and temperature (core - skin),
controlled by SFP, for the right biceps r
p
= -0.463 (p
= 0.046) and left biceps r
p
= -0.452 (p = 0.050). And
also between TCSA and temperature (core - skin)
for the right biceps r
p
= -0.460 (p = 0.048) and left
biceps r
p
= -0.470 (p = 0.042).
4 DISCUSSION
Literature shows that the formation of new blood
vessels plays an important role in several
physiological processes including physical exercise
recovery (Hitoshi et al., 1994)., a process known as
angiogenesis (Schulz and Yutzey, 2004). The results
of this study suggest that individuals with greater
arm muscle cross-sectional area tend to have Tsk
closer to Tc, possibly because they have a higher
blood flow in the identified muscle. This hypothesis
is supported;, under normal circumstances (no
pathology), few physiological occasions induce
angiogenesis, one of them being physical exercise
(Prior et al., 2004). Thereby, increasing the number
of capillaries would support the need to increase
blood flow to the muscle (Fleck and Kraemer, 2006,
Prior et al., 2004).
Authors McCall et al. (1996) found an increased
number of capillaries in proportion to the increase of
the muscle fiber, thus maintaining a unchanged
capillary density per unit area of the fiber and
muscle area. However, others have found no
proportional increase in the microcirculation with
increased muscle size (Weber et al., 2010). These
differences, in the magnitude of alterations in
response to increased muscle mass, can be explained
due to different training protocols applied (Komi,
2006). The training protocol studied by McCall et al.
(1996) used isotonic contractions for 12 weeks.
Moreover, Weber et al. (2010) studied the
physiological response to isokinetic training for 8
weeks.
Although the SFP has not shown significant
correlations, some authors (Bandeira et al., 2012,
Neves and Reis, 2014) claim that the layer of
subcutaneous fat can increase the difference between
the core and skin temperatures. The results of the
partial correlations (right biceps r
p
= -0.463, p =
0.046, and left biceps r
p
= -0.452, p = 0.050),
controlled by SFP, enhance the reliability of the
correlations presented in Table 2 and the idea that
increased muscle mass leads to a temperature closer
to the center skin temperature.
The study identified significant correlations
between muscle areas and the temperature for
biceps but the same was not observed in the triceps;
this difference could be explained by the arm
vascularization and the fat layer over of each
muscle. Although the contribution of the biceps (less
than 42% of MCSA) is fewer than that of the triceps
(approximately 57% of MCSA) (Miyatani et al.,
2004), it was observed that the biceps skinfold is
also less than the triceps, allowing for thermogenic
effects within the biceps. However, for the triceps,
the heat dissipation is more limited by the presence
of a major fat layer. Another important anatomical
difference between the two muscles is the location
of the brachial artery biceps, this difference may
have influenced the results.
One possible immediate clinical implication
concerns the recovery time from a muscle damage.
Several muscle recovery strategies are based on the
increase in local blood flow to carrying of
reconstructive substances and removal of
metabolites(Kovacs and Baker, 2014). Assuming
that subjects with greater muscle area have increased
local vascularity than those with smaller muscle
area, the first may have faster muscle recovery that
the last, because the blood flow is critical factor to
the recovery muscle process(Imtiyaz et al., 2014).
5 CONCLUSIONS
It was concluded that the arm muscle cross-sectional
area influences skin temperature measured at the
biceps region. This result can be generalized to other
areas of the skin, which show similar characteristics
to the studied area, i.e., large muscle volume,
superficial vascularization and small subcutaneous
fat layer. The knowledge about the relationship
among skin temperature, core temperature and the
arm muscle cross-sectional area can be used during
all thermogram analyses and in the design of
sporting clothes and work clothes. This study
suggests that one strong person (large MCSA) can
dissipate heat more readily than those with small
muscle mass (small MCSA).
ACKNOWLEDGEMENTS
We would like to thank Brazilian Army and CNPq
for important funding and financial support.
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