Short Term Sensory and Cutaneous Vascular Responses to Hand Exercise
Shaguftha S Shaik1,
Joy C. MacDermid1,2,3, Trevor Birmingham1,4, Ruby Grewal2,5
1Faculty of Health Sciences,
Department of Health and Rehabilitation Sciences, Physical Therapy Field,
Western University, London, Ontario, Canada
2Clinical Co-director, Hand and
Upper Limb Centre, Clinical Research Laboratory, St. Joseph’s Health Centre,
London, Ontario, Canada
3School of Rehabilitation Science,
McMaster University, Hamilton, Ontario, Canada
4Tier 2 Canada Research Chair in Musculoskeletal
Rehabilitation, Faculty of Health Sciences, Department of Health and
Rehabilitation Sciences, School of Physical Therapy, Western University,
London, Ontario, Canada
5Hand and Upper Limb Centre, St.
Joseph’s Health Care, Division of Orthopedics, Western University, London,
Ontario, Canada
*Corresponding
author: Shaguftha S Shaik, Faculty
of Health Sciences, Department of Health and Rehabilitation Sciences, Physical
Therapy Field, Western University, London, Ontario, Canada, N6G 1H, Tel: +1 519-661-2111;
Email: drshagufthacppt@gmail.com,
Received Date: 28 August, 2016; Accepted Date: 15 August, 2016; Published Date: 21 August, 2016
Citation: Shaik SS, MacDermid JC, Birmingham T, Grewal R (2016) Short Term Sensory and Cutaneous Vascular Responses to Hand Exercise. Gavin J Dermatol Res Ther 2016: G111.
Study Design: Randomized Cross-over, repeated measures, pretest
post-test design.
Objective: To determine the normal short term impact of two different
intensities of hand exercises (high and low) on sensory and vascular functions.
Background: Hand exercise is used
for a variety of clinical conditions. There is scarcity of literature on the
normal effects of different intensities of hand grip exercise on sensory and
vascular function.
Methods: Twenty healthy volunteers aged 18 to 50 yrs. (Mean age:
29.6 ± 8.83 yrs.) were recruited for the study. Superficial palmar blood flow
(sbf) in the hands was determined using Tissue viability imager. Sensory
perception thresholds (sPT) for ulnar and median nerves were determined using
the Neurometer, from ring fingers to assess A beta (Aβ at 2000 Hz) and C fibre
(at 5Hz) function. The trial included 3 conditions: no exercise or rest, high
intensity exercise and low intensity exercise. Subject’s two hands were
randomly allocated to one of the two group sequences (AB or BA). Scores were
obtained before and immediately after the hand exercises and rest. Differences
were analyzed using general linear models (repeated measures).
Results: Neither of the exercises had a significant effect on sbf
or sPT at 2000Hz and 5Hz as there were no differences over time (p>0.05);
nor was there a condition and time interaction (p>0.05). Similar results
were found for rest (p>0.05). Age and gender also had no significant effect
on either measures (p>0.05).
Conclusion: This study found a lack of short term physiological
changes in sbf and sPT of Aβ and C fibres following brief low intensity and
high intensity hand grip exercise. The exercises may not have elicited
cutaneous thermoregulatory responses (change in internal tissue temperature),
but perhaps the non-thermoregulatory responses might have led to the observed
findings.
Level of evidence: Therapy; Level 2b
Keywords: Skin; Blood flow; Sensory perception threshold; Palm; Dynamic
hand exercise
1. Introduction
Regular exercise is used to improve muscle function and functional
ability in healthy and patient populations. Physiological responses to exercise
are affected by dosage and type of exercise and so can vary with: frequency
(how often exercise is performed), intensity (resistance), and duration (number
of repetitions or time the exercise is performed), muscle contraction type,
range of motion, speed of movement, and mode of exercise [1-4]. Control of
blood flow to skeletal muscles during exercise occurs through somatic (sensory)
and sympathetic neural pathways. The activation of skeletal muscle fibers by
somatic nerves results in vasodilation and functional hyperaemia [5].
Sympathetic activation results in vasoconstriction and maintenance of arterial
blood pressure [5]. The effects of these respective neural control systems
interact throughout the vascular resistance network of skeletal muscle to
facilitate coupling between the vascular supply of oxygen and the metabolic
demands of the contracting muscle fibers [5].
Skin is the only readily accessible organ for which blood flow
can be measured noninvasively through noncontact imaging. Due to the essential
link between microcirculation function and adequate tissue oxygen delivery, the
tissue blood supply has been noted as a crucial indicator of injury and disease
[6]. Hence, skin is sometimes used as a model of generalized micro vascular
function [7-9]. Dynamic physical exercise induces an increase in the production
of heat in active muscles and increases core body temperature. Core body
temperature is the main thermal input which stimulates the thermoregulatory
center (the hypothalamus), which in turn induces vasodilation in the skin [10].
Skin blood flow thus plays an important role in temperature control via
thermoregulation, through its responses to heat and cold stress [10].
Non-thermal factors associated with exercise such as the sympathetic
stimulation, baroreflex and exercise pressor reflex also affects cutaneous
circulation, [10-12] through its responses to changes in arterial and central
venous pressure. The baroreceptors reflexively modulate skin blood flow,
regulate central blood volume and maintain blood pressure (BP) during a BP
challenge, exercise and heat stress environments [10]. Local vasoactive
substances (carbon dioxide, hydrogen ions etc.) released by the active muscle
during exercise are responsible for the increase in blood flow to muscle
through the exercise pressor reflex which is elicited by these substances
[10,13]. Control of blood flow is thus influenced by myogenic activity and
local concentrations of muscle metabolites. As skin vasomotion is influenced by
thermal and non-thermal factors associated with the exercise, the thermal
input–output relationship in the control of cutaneous circulation during the
exercise differs from that at rest [10-12]. Hence, monitoring sensory and
vascular responses in skin during exercise provides an indication of changes in
the neurovascular function.
Cutaneous microcirculation differs according to the location in human body and
has few anatomical variations. Most of the body surface is covered with hairy
or non-glabrous skin, whereas the fingers, lips, ears, forehead, palms, and
plantar aspects of the feet are covered with non-hairy or glabrous skin [14].
In the hairy skin, the cutaneous microcirculation is organized as an upper and
lower horizontal plexuses. These two plexus lie in an area between the dermal
subcutaneous interface and papillary dermis [14]. In addition to these two
plexuses, glabrous skin also contains a high proportion of arterio-venous
anastomoses. Arterioles in glabrous skin are innervated solely by noradrenergic
sympathetic nerves, whereas arterioles in non-glabrous skin are innervated by
both noradrenergic and cholinergic sympathetic nerves [15]. The skin vascular
responses to exercise have been shown to differ between glabrous regions such
as the palm and sole, and non-glabrous regions such as the dorsal hand and
forearm [4,16-18].
Previous literature on the effects of exercise on cutaneous
vascular responses report muscle activity at one site and measurement of skin
blood flow at a different site. For example, previous investigators measured
skin blood flow either after a short bout of isometric hand grip exercise or
after few weeks of hand grip training [19] from the volar aspects of forearm,
instead of the palmar region where the muscle activity takes place. In
addition, the effects of the intervention (exercise) on the tissues most
directly affected by the treatment were not measured in those trials. Skin
blood flow is typically obtained with laser-Doppler flowmetry (LDF) or
laser-Doppler imaging using a single-point LDF (probe) either from the forearm
or the finger pad [9,19]. As described earlier, there is a higher vessel
density and high proportion of arteriovenous anastomoses in the palms and
finger pads when compared to the forearm region. Hence, LDF responses obtained
through the single point LDF is prone to variability according to the anatomy
of underlying vasculature [14,19].
An index of skin blood flow can also be obtained using a novel
technique called Tissue Viability Imager(TiVi), which has the capability to
measure the red blood concentration (RBC) in upper dermal tissue [9,20]. The
TiVi responses can be explained by physiological understanding and can be
analyzed directly without any equation as in LDF (LDF flux/MAP). Unlike the LDF
which uses a small single-point LDF probe (which is very small compared to the
treatment area) to capture the RBC flux in a finger pad, TiVi system directly
captures the RBC over the whole treatment area. Dynamic hand grip exercise
involves all muscles in the palm and the images can be captured over the whole
palmar aspect using TiVi which are much larger than those obtained through
single point LDF probe. TiVi is not affected by the velocity or movement of
blood flow in circulation as in LDF, because it only captures the amount of RBC
in the area at that time point [20].
Palmar skin is also richly populated by sensory nerves, which
respond to thermal, chemical, and mechanical stimuli to provide feedback to the
central nervous system and influence cutaneous arteriolar tone via the release
of neuropeptides and other vasoactive agents [21,22]. It is possible to perform
direct measurement of the functional integrity of sensory nerve fibers using
the current perception threshold (CPT) test [23]. The CPT is the minimum amount
of transcutaneously applied current that an individual consistently perceives
as evoking a sensation. It is a quantitative sensory test used for functional
analysis of A-beta (Aβ), A-delta (Aδ) and C fibres [23]. This method is
increasingly used for assessment of sensory function in clinical practice such
as epidural anesthesia [24], skin graft surgery [25] and chronic lumbar
radiculopathy etc [26, 27].
Currently, there is a scarcity of trials that have looked at the
short term effects of low intensity and high intensity exercises on the sensory
and vascular responses in the hands of healthy individuals. Hence, the purpose
of this study was to see the impact of two types of hand grip exercises on the
superficial palmar blood flow(sbf) and sensory perception thresholds (sPT) in
an area innervated by median and ulnar nerves (C7,C8). A secondary purpose was
to determine if the responses were affected by age and gender.
2. Methods
2.1. Participants
The number needed to detect a moderate effect size for a within
subject design (ES r=0.50; two-tailed α = 0.05; 80% power) was based on Cohen’s
criteria. (28) Thus a sample size of 20 was considered and approved by the
ethics board for this research. Healthy subjects were recruited by poster
advertisement in the university campus based on the eligibility criteria given
in (Table.1). Subjects were divided into two age categories: 18–34 and 35–50
yrs. (Table 2). Testing was done in the St Joseph’s research lab. This study
was approved by the Western University Research Ethics Board. All participants
read the letter of information, had their questions answered, and signed a
consent form prior to participation in this study.
2.2 Outcome Measures
2.2.1. TiVi (Tissue Viability Imager) 600 polarization
spectroscopy camera (version 7.4 Wheels Bridge AB, Linköping, Sweden)
The TiVi is a reliable [29], valid [20,30] and sensitive [31]
device used for a high-resolution instantaneous imaging of RBC concentration in
human dermis (to a depth of 400-500 micrometers) [20]. This digital camera
(Canon Rebel EOS model 450D, Japan) has shown many uses in drug development,
burn investigations, pressure studies, and general research maneuvers due to
the ease of use, portability, and low cost [9,20].
Participants were required to keep their shoulder in neutral,
elbow in 90o flexion; forearm (s) supinated and placed approximately at the
level of the heart. An outline was drawn to standardize hand position. The
camera was positioned at a distance of 30 cm from the participant’s hand. For
each participant one image at baseline (pretest) and immediately after
(post-test) exercise or rest were captured. In total 4 images per hand were
used and the ‘Regions of interest’ were selected over the palms up to the wrist
crease. Later these cropped images were used for statistical analysis.
2.2.2. Neurometer ® CPT/C device (Neurotron Inc., Baltimore,
USA)
The Neurometer evaluates sensory nerve conduction from the
periphery to the brain and has been shown to detect, screen and diagnose the
abnormalities of peripheral nervous system. [32, 33] It has been shown to be a
reliable and valid measure in the evaluation of mechanical neck disorders [34],
and found to be specific and sensitive in the examination of carpal tunnel
syndrome [34,35]. A frequency of 2000 Hz is used to stimulate the large
myelinated Aβ fibres (touch, pressure); a 250Hz to stimulate myelinated Aδ
fibres (mechanoreceptive, fast pain, pressure, temperature), while a frequency
of 5 Hz is used to stimulate the small unmyelinated C-polymodal nociceptive
fibres (slow pain, temperature, post ganglionic sympathetic fibres) [32,33].
Ranged CPT (R-CPT) is a rapid sPT test in the Neurometer which
is typically used to confirm or rule out sensory involvement in large samples
such as screening [33,36]. In R-CPT, each frequency is repeated several times
to ensure accuracy and reproducibility [33]. The Neurometer also reports values
(R-CPT levels) as, the normal range (6–13), hyperesthesia (1–5), or
hypoesthesia (14–25) [33,36]. R-CPT was tested at two frequencies in this study
(2000Hz and 5Hz) to target two different nerve fibre types. To begin 2000 Hz
stimulation, the skin was cleaned with a skin paste and then the 1 cm gold
electrodes coated with small amount of gel were attached to the ring finger
with an adhesive tape. Then the participants were asked to press and hold the
red “Test cycle” button on the remote control box and release it as soon as
they begin to feel the tingling or buzzing sensation. The machine records the
response when the button is released and the same process is repeated 7-10
times until a score is displayed. In total three consecutive scores were
obtained at 2000Hz. The same procedure was repeated at 5Hz. These test cycles
end automatically after few repetitions (7-10 times) and the Neurometer
displays score for 5Hz [33,36].
2.2.3. Study protocol
We used a randomized cross over (AB/BA), repeated measures
design in this study. There were three conditions; a control condition (rest or
no exercise), low intensity hand Figure legends: Rt.= right hand; Lt.= left
hand; gp= group; gp I = undergoes Low intensity group sequence; gp II=undergoes
High intensity group sequence; LR HF= low resistance ,high frequency; HR LR=
High resistance, low frequency; 10 min washo=ut period; TiVi= tissue viability
imager; R-CPT= Range current perception threshold test at 2000 Hz & at 5
Hz; ---- = dashed arrow represents the cross over to other group sequence and
hand side.
Participants were assigned by concealed random allocation; using two sealed
envelopes, to one of the 2 group sequences (low intensity group or high
intensity group) and one of the two hands (right or left). A 10 min washout
period was used to minimize any potential carry over effects of exercise. Each
hand acted as its own control. The two group sequences were completed on the
two hands one after the other on same day according to the protocol shown in
(Figure.1). Outcome assessments and testing were all provided by a single
physiotherapist.
2.2.4. Exercise intervention
The study protocol and rate of perceived exertion (Borg’s 10
point RPE scale) were explained to each participant during the acclimatization
(10 min) to room temperature. Participants were first measured on TiVi over the
palmar region to assess sbf and then the R-CPT test was recorded from the tips
of ring finger to assess sPT at 2000Hz and 5Hz. These two measurements were
done before (pretest) and immediately (post-test) after each control/rest
condition and hand exercise in a similarme order. After completing baseline
assessments, participants were either asked to rest for 5 min during the no
exercise period, or perform a low intensity or a high intensity hand grip
exercise based on the group sequence selected. Participants were asked to
perform a warm up of hand muscles prior to the initiation of exercise. a) Low
intensity (or low resistance and high frequency) exercise consisted of
squeezing a low resistance Dyna gel therapy ball (pink colored, soft, 150
hardness) for a total of 5 min. One set of hand exercise consisted 25
repetitions (1 sec contract & 1 sec relax; each set was paced at <30
sec) (37) and each set was separated by a 30 sec rest interval (25 reps- 30 sec
rest-25 reps-30 sec rest). b) High intensity (high resistance and low frequency)
exercise consisted of squeezing a high resistance thera ball (black colored,
firm, 350 hardness) for a total of 5 min. One set of hand exercise consisted 12
repetitions (1sec contract & 2 sec relax; each set was paced at > 30 sec
or 36 sec) (37) and each set was separated by a 30 sec rest period (12
reps-30sec rest-12 reps-30sec rest) [adapted from ACSM]. (38) The speed and
time of contraction were paced with a stop watch and metronome. RPE scale was
used to monitor the level of exertion or fatigue after the exercise.
TiVi software was used to calculate the mean blood flow (A.U.)
in the palms up-to the wrist crease and then the data was transferred to an
Excel. The R-CPT scores obtained at 2000Hz and 5Hz (m. A.) were recorded
directly from the digital display of the Neurometer CPT/C device.
2.2.5. Data analysis
The sbf and sPT at 2000Hz and 5Hz were assessed for differences
using General Linear Models (GLM), repeated measures (SPSS version 20, IBM
Inc.). Models assessed whether there were differences between baseline and
immediately after exercise therapy (low intensity and high intensity) or rest.
Interactions were examined for significance between time and treatment
conditions. Post hoc analyses were performed using Bonferroni correction
wherever necessary. Pair wise comparisons were used to perform within-group
comparisons for treatment and control. The GLM model was run without covariates
and then repeated with age and gender as a covariate to test for differential
responses. Significance level was set at p<0.05 level unless otherwise
noted.
3. Results
Twenty healthy volunteers who satisfied all eligibility criteria
were recruited between November 2012 to February 2013 (Table.1). No data points
were missing. The group means, standard deviation, 95% confidence intervals,
change scores and effect size for sbf and sPT at 2000Hz and 5Hz are shown in
the (Table.3) and are summarized by outcome measure below. Neither of these
exercise intensities (low and high) had a significant effect on sbf or sPT at
2000Hz and 5 Hz as there were no differences over time (p>0.05); nor was an
exercise condition and time interaction (p>0.05). Similar results were found
for control/rest condition (p>0.05) (Table 3, Figure 2 (i) & (ii)). The
effect sizes were small (ES r = <0.2) for both outcome measures before and
after the exercise and rest. GLM with age and gender as covariates reveals no
significant effect of age (across the two categories; 18–34, 35 -50 age groups)
as well as the gender on the sbf
4. Discussion
This study found a lack of short term physiological changes in
superficial palmar cutaneous blood flow and sensory perception thresholds
following a brief low intensity or high intensity hand grip exercise. The
responses were also not affected by age or gender. We could not find any similar
study in the literature which reported neural and vascular responses in the
palm (glabrous skin) after high intensity and low intensity hand grip
exercises. The closest findings related to our study which measured vascular
and neural responses after resistant hand exercise was by Akira et al [39].
These authors looked at the effects of vibration and noise on sympathetic nerve
activity in fingers and palm (glabrous skin) of five healthy volunteers. One of
the three experiments in their study was to observe the effect of isometric
handgrip exercise (a constant gripping force of 2 kg) on skin blood flow, skin
temperature and median nerve sympathetic activity in the hands before and after
5 min. No significant changes were observed in the sympathetic nerve activity
or skin blood flow during and after isometric handgrip exercise when compared
to the values at rest [39].
Our results were consistent with the reports by Akira et al.,
[39] with respect to skin blood flow and sensory nerve function (C fibres are
post- sympathetic ganglionic). But direct comparison was not possible because
the current study looked at sbf and sPT from the ring finger noninvasively
(median and ulnar innervation zone) before and after two types of dynamic
exercises, while Akira et al., assessed sympathetic neural activity at elbow
level directly by inserting needle into the median nerve and measured skin
blood flow from the tips of middle finger using laser Doppler flowmetry, before
and after a constant isometric hand exercise.
Another study by Bartholomew et al., [40] investigated the effects of 20 min of
self-selected resistance exercise (circuit weight training, stationary cycling)
on pressure pain thresholds and pain tolerance in healthy volunteers. These
authors found that pressure pain thresholds remained unchanged following
exercise and control conditions, but pain tolerance increased across time [5].
In the present study Aβ perceptions did not change after control and after the
two hand exercises. Because Aβ function is to detect and transmit touch and
pressure, the sPT at 2000Hz can be presumed to have responded similar to
pressure pain thresholds in Bartholomew’s experiment [40]. However there was
pain component along with pressure component in the pressure pain threshold
test. Hence, direct comparisons were not possible due to differences in site
(legs), methods (exercise protocol was cycling) and assessments used in these
studies.
Differing methods of sbf measurements and treatment protocols do
not allow for direct comparisons to be made between the research studies that
have been published to date. The observed changes in sbf and sPT before and
after exercise and rest may be explained by the body’s physiological responses.
Skin blood flow in the palm has been reported to be regulated by 3 mechanisms:
1) Thermoregulatory reflex control [11], 2) Non-thermoregulatory reflex control
[10,41], and 3) Auto regulation [42]. Thermoregulatory reflexes, which include
skin blood flow responses to heat and cold stresses, exert their effects on the
skin circulation through two branches of the sympathetic nervous system: a
noradrenergic vasoconstrictor branch and an active vasodilator branch [11].
Nonthermoregulatory reflexes, which include skin blood flow responses to
changes in arterial and central venous pressure and exercise stresses, also
operate through the two aforementioned branches of the sympathetic nervous
system; however, the glabrous/palmar skin operates only through the
vasoconstrictor branch [10,11,41]. In the auto-regulation process, throughout a
specific range of arterial blood pressure, steady-state blood flow is
maintained at a fairly constant level [44]. Previous reports on cutaneous
circulation has shown that, independent of neural control of blood flow,
glabrous/palmar skin has the ability to buffer blood pressure oscillations and
demonstrates a degree of dynamic auto-regulation. Conversely, nonglabrous or
hairy skin has a diminished dynamic auto regulatory capacity [42].
We first tried to relate observations in the present study to
some of the physiological findings reported earlier on the cutaneous responses
to exercise on non-glabrous or hairy skin in terms of thermoregulatory control
[11,12,43,45,46]. These authors [11,12,43,45,46] showed that the onset of acute
dynamic exercise involves a transient reduction in skin blood flow mediated by
increased cutaneous sympathetic (vasoconstrictor) outflow. As dynamic exercise
progresses, core temperature (internal body temperature) begins to rise while
skin blood flow remains unchanged until a temperature threshold (Tc) is reached
(Tc< 37â—¦C). Once this threshold is crossed in internal body temperature (Tc
≥38 â—¦C) [11,12,43,45,46], or exceeds a specific level in the deep tissue
temperature of a local exercising muscle ,(47,48,49) the skin blood flow begins
to rise linearly with increasing temperature [47,50,51]. This post-exercise
elevation in core body temperature is intensity dependent, hence higher
post-exercise temperatures were found to be associated with higher exercise
intensities [2]. Also the thermal afferents from an exercising tissue (muscle,
vein or bone around the muscle etc) might directly affect thermoregulatory
responses [47-49]. Hence, it is possible that the hand exercises used in this
study did not cause a persistent post exercise thermal load that was
substantial enough to stimulate an increase in core temperature [2,52]. In the
present study we monitored rate of perceived exertion (RPE) during and after
the exercise to note level of fatigue or exertion (if any). All the
participants described their rate of perceived exertion to be ‘weak’ or very
weak’. From this we can presume that both low intensity and high intensity
exercise protocols were not so intense to rise the local muscle tissue
temperature [47-49], thus causing no variation in sbf. There was no variation
in sbf and sPT after control as well. We presume that this response might have
been due to the resting condition of the participants during ‘no exercise
period’ in a thermo-neutral environment.
Secondly, it is also possible that the sbf and sPT did not
change after exercise due to the non -thermo regulatory control of skin blood
flow (from muscle’s exercise pressor reflex or baroreflex etc.). It has been
reported that control of blood flow in the cutaneous microcirculation depends
primarily on cutaneous arteriolar tone, which is influenced by many factors
including sympathetic stimulation, myogenic activity, and local concentrations
of specific metabolites in muscle (e.g., carbon dioxide, hydrogen ions) [22].
In addition to this, skin is also richly populated by sensory nerves, which
responds to thermal, chemical, and mechanical stimuli to provide feedback to
the central nervous system and influence cutaneous arteriolar tone. Aβ fibres
play a key role in providing tactile sensory inputs from palmar skin to the
brain. Hence, intact touch and pressure sensations are important to initiate
voluntary contraction as well as maintain the muscle work according to the
different force loads generated during hand grip exercise [53]. So there is a
possibility that the observations in the present study could have been due to
the mechanical stimuli from rhythmic finger squeezing Blood flow to active
skeletal muscle is required to meet metabolic demands. Blood flow redistribution
from other regional circulations contributes to the enhanced muscle blood flow
[10,12]. It has been previously reported that after exercise, oxygen
consumption (VO2 max) and energy expenditure in the muscle remain above resting
values for a period of time, denoting high energy expenditure during this
period [54]. The extra oxygen consumption is known as excess post-exercise
oxygen consumption (EPOC). Evidence from past reports suggests an exponential
relationship between exercise intensity and the magnitude of the EPOC for
specific exercise durations [54]. Furthermore, work at exercise intensities
50–60% VO2 max stimulate a linear increase in EPOC as exercise duration
increases [55]. During recovery from relatively high-intensity exercise, it may
take approximately 60 min or more for VO2 and the anaerobic metabolic rate to
return to values recorded before exercise [37,55]. There is a possibility that
the hand exercises used in this study might have increased the oxygen demand in
the muscle tissue for a brief period after the exercises. Thus, causing blood
flow redistribution from the skin to the active skeletal muscles [56], to
suffice the post exercise oxygen consumption [55], which is thought to remain
above resting levels for a period of time [54], before returning to their
pre-exercise state.
Hence, we summarize all possible physiological mechanisms that
might have led to the observed findings in this study as follows: The responses
observed in palmar sbf and sPT are more likely to be linked to the non -thermo
regulatory control of skin blood flow (from muscle activity, exercise pressor
reflex, post exercise oxygen consumption). We exclude the influence of a
thermoregulatory control and the baroreflex control from our findings. A
dynamic exercise in which a significant percentage of muscle mass is engaged
(~50%) generates thermoregulatory demands that are met in part by increases in
skin blood flow [10,57]. The exercise protocols used in this study involved
small muscles of the hand which contributes to <50% of the total body muscle
mass [57]. The localized rhythmic hand exercises might not have increased body
core temperatures beyond a set threshold (≥380C) to engage the thermoregulatory
reflex. Further, it is unlikely that the exercises altered cardiac output, mean
arterial pressure or heart rate to stimulate the baroreflex responses in the
big arteries [10,58].
The underlying mechanisms demonstrated in sbf and sPT obtained
with exercise however appear to be complex and multifaceted [59]. Apart from
these three control mechanisms, personal factors and environmental factors have
also been reported to alter skin responses. The distribution of glabrous skin
is limited to the hands, feet, and faces, and is exquisitely sensitive to
environmental temperature and emotional inputs. Even though the study was
conducted in thermo-neutral environment in same subjects on same day to control
the diurnal variations, we cannot address the issue of whether emotional inputs
had any contribution to the observed findings [52,60]. It has also been
reported previously that glabrous skin has the capability of both static and
dynamic auto-regulation [42]. Hence, we can only presume that cutaneous
auto-regulation might have contributed in some way to the observed findings.
The vasoconstrictor system in the palmar skin is the primary
means of blood flow control through which exercise can exert any modifying
effects [50,61]. The competition between thermoregulatory control of body
temperature and the metabolic demands of exercise is also a competition between
skin and the active skeletal muscle for the available cardiac output [62].
There is no compromise or reduction in blood flow to the active muscles or to
the blood pressure even in heat stress [56], but there is a limit to skin blood
flow through redistribution or shunting of blood towards the active tissues
[62] in such conditions. The limitation to skin blood flow also varies with the
level and mode of exercise used [63].
Exercise had no effect on R-CPT scores at 2000 Hz or at 5 Hz.
The lack of change in sPT of C fibres (that carry sympathetic signals) is
consistent with a lack of change in sbf after the hand exercise, since the
palmar skin is supplied only by sympathetic vasoconstrictor nerves. This is
because of the anatomical variation in the palmar skin, which gets innervation
from the sensory and sympathetic vasoconstrictor nerves, contrary to the hairy
skin which also gets innervated by the sympathetic vasodilator nerves [14].
Hence, any vasoconstriction or vasodilation in the palmar skin after the
exercise could have been attributed to either the stimulation or inhibition of
sympathetic vasoconstrictor nerve fibres. All these inferences lead us to a
conclusion that the short term hand exercises used in this study were not sufficient
to cause significant amount of variations in sbf and sPT as compared to the
values at rest. The findings of this study indicate that local hand exercise of
either high or low intensity level (using thera-balls of two different
resistances) shows minimal systemic impact in individuals without injury or
cardiac disease suggesting either is safe. These should be investigated in
patient population as they may indicate abnormal vascular, sensory, sympathetic
or muscular function.
5. Limitations and research recommendations
There are a number of limitations in the current study that may
have affected the study findings and generalizability. Only one therapist
pro¬vided the intervention and assessments. However minimal bias was expected
with respect to outcome evaluation, because sPT was determined by the
participants while the sbf was not controlled by either the subject or the
therapist.
The TiVi system while accurate is only able to measure
superficial sbf and was not a direct measure of blood flow to the deeper
tissues. The sPT was recorded only from the ring finger in order to follow the
recommendations of the manufacturer. Furthermore, since the ring is innervated
by both median and ulnar nerves, differential effects in these nerves were not
directly explored.
The participants performed exercises using 2 pre-set hand grip
resistances and so there was no customization of resistance to the individual’s
strength. This meant that the exercise dosage varied across individuals and may
not have reached a high intensity for some. However, since this approach is
commonly used in clinical practice, it was selected for its clinical relevance.
Due to the small size of thera-balls a couple of participants used only four
fingers for exercise leading to variable exercise performance. However, this is
considered a minor variation which was not under the therapist or participant
control.
Future exercise study is needed to explore the effects in patients with hand
injuries and with comorbid health problems. Athletes and active individuals who
participate in regular physical exercise may have different skin vascular
responses and this needs further research. It is possible that long term hand
exercise causes physiologic changes in the vascularity or nerve function, and
thus longer term effects of exercise programs should be explored. Finally, this
exercise construct is only one form of exercise used in hand rehabilitation and
other forms should also be investigated.
6. Conclusion
In conclusion, this study demonstrated a lack of short term
effects on sbf and sPT at 2000Hz (Aβ) and 5Hz (C fibres) with two brief hand
grip exercises. This is a non-invasive study and we deduced all relationships
from the previous physiological findings. Even though the exact mechanisms
behind these observations are unknown, there is a possibility that
non-thermoregulatory reflexes and cutaneous auto-regulation in the palms might
have led to the observed findings, and not the thermo-regulatory reflex control
mechanisms. Future studies should focus on assessing therapeutic effects of
different modes of hand exercises commonly used in the clinical settings and
apply the same in patient population.
7. Acknowledgements
I must express special acknowledgements to Dr. Yves Bureau
(Western University) who helped during the data analysis (with SPSS). Thanks to
Baseer Farooq (PT) for the exercise equipment and proofreading. Thanks is due
to my lab mate Derek C. for his valuable help with TiVi 600 usage and Marisa C.
for her valuable support during pilot testing and research. Special thanks to
Ms. Margaret L. (Research Coordinator) for her timely help related to
Neurometer usage.
Figure 1: Flow chart for the study design (Cross-over AB/BA)
Figure legends: Rt.= right hand; Lt.= left hand; gp= group; gp I = undergoes Low intensity group sequence; gp II=undergoes High intensity group sequence; LR HF= low resistance ,high frequency; HR LR= High resistance, low frequency; 10 min washo=ut period; TiVi= tissue viability imager; R-CPT= Range current perception threshold test at 2000 Hz & at 5 Hz; ---- = dashed arrow represents the cross over to other group sequence and hand side.
Figures 2 (i) and (ii)
Before rest-H Before HRLF exercise
After rest-H After HRLF exercise
Figure 2: i) Responses shown on TiVi camera over the palmar region in High Intensity group; rest-H= Rest condition in High Intensity group; HRLF exercise = High Resistance and Low Frequency exercise.
*Basal skin blood flow appears blue and if it increases the color changes to green, yellow and red as shown in the scale (0-400A.U)
Before rest-L Before LRHF exercise
After rest-L After LRHF exercise
Figure 2: ii) Responses shown on TiVi camera over the palmar region in Low Intensity group; rest-L= Rest condition in Low Intensity group; LRHF exercise = Low Resistance and High Frequency exercise.
*Basal skin blood flow appears blue and if it increases the color changes to green, yellow and red as shown in the scale (0-400A.U)
INCLUSION CRITERIA |
EXCLUSION CRITERIA |
Age 18 to 50 yrs. |
Skin infection, open wound, swelling, |
Male & female |
Menstruation, Pregnancy |
No recent injury or disease to neck, shoulder, elbow, wrist, or hand within the past year |
Pacemaker/ monitoring device |
All subjects were informed to refrain from any kind of exercise or drinking beverages 4 hours prior to the testing |
Malignancy |
Hypertension, Cardiac failure |
|
Diabetes |
|
Neurovascular injuries |
|
Osteoporosis |
|
Dislocations |
|
Ligament tears or injuries, |
|
Heart disease, Hypertension, cardiac failure. |
|
Deficits in sensation in the area to be treated (sensory test to identify sharp and dull sensation ) |
|
Deficit in circulation (Digital patency test for fingers) |
|
Inability to understand instructions. |
Table 1: Inclusion and Exclusion Criteria.
Age in yrs. (mean± SD) |
29.6 ± 8.83 |
Gender : |
|
Female’s n (%) |
13 (65%) |
Male’s n (%) |
7 (35%) |
Dominance: |
|
Right n (%) |
18 (90%) |
Left n (%) |
2 (10%) |
Table 2: Participant Demographics.
Low intensity group |
High intensity group |
|
LR HF(n=20 hands) |
HR LF (n=20 hands) |
|
Skin blood flow |
||
(0-400 A.U) |
||
Pre-test |
88.7(84 - 93.3) |
89.4(85- 93.6) |
Post –test |
91.1(86.6- 95.6) |
90.9(85.7- 96.1) |
Change score |
2.5 |
-1.4 |
Effect size |
-2.6 |
-0.07 |
R-CPT |
||
at 2000Hz |
||
(0-24 m.A) |
||
Pre-test |
8.6(7.6- 9.5) |
9.1 (8.3 -9.7) |
Post -test |
9.1(7.2-10.9) |
9.6(8.4-10.6) |
Change score |
-0.5 |
-0.1 |
Effect size |
-0.08 |
0.11 |
R-CPT at 5Hz |
||
(0-24 m.A) |
||
Pre-test |
13.1(11.3-14.8) |
14.1(12.3- 15.7) |
Post-test |
13.1(10.8- 15.2) |
13.5(11.9- 14.9) |
Change score |
-0.3 |
1 |
Effect size |
0.05 |
0.09 |
Low intensity group |
High intensity group |
|
Rest (n=20 hands) |
Rest (n=20 hands) |
|
Skin blood flow |
||
(0-400 A.U) |
||
Pre-test |
||
88.7(84- 93.3) |
89.3(85 -93.6) |
|
Post-test |
88 (84.4-9.0) |
90.3(85.- 94.8) |
Change score |
0 |
-0.8 |
Effect size |
0 |
-0.05 |
R-CPT |
||
at 2000Hz |
||
(0-24 m.A) |
||
Pre-test |
8.5(7.5- 9.4) |
9.5(8.4- 10.4) |
Post-test |
9.3(7.4- 11.2) |
9.4(8.4 -10.4) |
Change score |
-0.8 |
0.3 |
Effect size |
-0.1 |
-0.02 |
R-CPT at 5Hz |
||
(0-24 m.A) |
||
Pre-test |
13.1(11.3-14.8) |
14.5 (12.3- 15.7) |
Post-test |
13.5(11.6- 15.3) |
13.5(12.0 -14.9) |
Change score |
-0.4 |
0.1 |
Effect size |
-0.05 |
0.07 |
Table 3: Outcome Data For Skin Blood Flow, Sensory Perception Threshold*.
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