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286 IJSR - INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH
Volume : 5 | Issue : 7 | July 2016 • ISSN No 2277 - 8179 | IF : 3.508 | IC Value : 69.48
Original Research Paper
Medical Science
Chiranjeevi Kumar
Endukuru
Tutor/Demonstrator AIIMS Bhopal,
Sonali Tripathi Tutor/Demonstrator AIIMS Bhopal,
Evaluation of Cardiac Responses to Stress in Healthy Individu-
als - A Non Invasive Evaluation by Heart Rate Variability and
Stroop Test
KEYWORDS : Heart rate variability,
Stroop test, Autonomic nervous system.
ABSTRACT Objective and Study Design: Stress is considered as physiological response to the mental, emotional, or physi-
cal challenges. Most of the times mental stress provokes body’s “fight or flight” response called as acute stress
response. But prolonged or chronic stress can affect numerous physiological functions, such as growth, immune system, metabolism,
reproduction and circulation. The Autonomic regulation of the cardiovascular system is most commonly affected by stress and is assessed
by means of heart rate variability (HRV)
Material and Methods: The aim of this study is to establish mental stress and cardiovascular autonomic Nervous System response to
mental stress assessed by combining different physiological parameters using HRV and Stroop test as tool. We compared the mean RR
interval, Blood pressure and indices of HRV during the Stroop Color Word Test (SCWT).A total of 50 normal healthy subjects were
participated in this study.
Results: Statistically significant change in heart rate, RR interval and BP was observed during the stress as compared to resting condi-
tion. All the components of HRV (SDNN, RMSSD, NN50, PNN50, LF, HF, LF/HF) were sensitive to stress in all the healthy individu-
als. Males were more prone to stress when compared to females.
Conclusion: The results suggest that there was increased sympathetic activity and reduced parasympathetic activity in HRV performed
during the Stroop test and showed statistically significant difference among the genders. Both physical and mental stress influence risk
factors that may increase risk for cardiovascular diseases and autonomic imbalance
INTRODUCTION:
Stress is a huge problem in today’s society and is an inevi-
table part of everyday life. Although stress has a psycho-
logical origin, it affects several physiological processes in
the human body. Physiological stress affects homeostasis,
leading to increase in the production of cortisol by the hy-
pothalamic-pituitary adrenal axis (HPAA) and changes in
the cardiovascular system brought about by the Autonomic
Nervous System (ANS). On the other hand, psychological
stress causes bodily changes that originate in the higher
centers of the brain and act in the periphery via the ANS.
The brain innervates the heart by means of stimuli via
the Autonomic Nervous System (ANS), which is divided
into sympathetic and parasympathetic branches. The sym-
pathetic activity leads to an increase in HR (e.g. during
sports exercise), while parasympathetic activity induces
a lower HR (e.g. during sleep). The two circuits are con-
stantly interacting and this interaction is reflected in HRV.
HRV, therefore, provides a measure to express the activity
of the ANS, and may consequently provide a measure for
stress. Though autonomic response to stress has been as-
sessed using different techniques like Plasma and urinary
catecholamine levels, cardiac norepinephrine spillover and
micro-neurographic techniques, the concept of Heart Rate
Variability (HRV) has been proposed as a robust, non –
invasive and sensitive tool to study the influence of both
sympathetic and parasympathetic systems on the heart.
Currently, the time and spectral analysis of HRV is seen as
a research and clinical tool for the study of cardiovascular
autonomic regulation. Short term HRV has been used as a
quantitative probe to assess the modulation of heart rate by
the Sympathetic Nervous System (SNS) and the Parasym-
pathetic Nervous System.
Numerous stressors have been developed to study the au-
tonomic modulation of cardiovascular function in the labo-
ratory like stress ergonometry, exercise, cold pressor test or
Valsalva manoeuvre. The hemodynamic response to mental
stress differs from the corresponding response to physical
exercise. So we preferred stroop test as a stressor. Stroop
test is commonly used as a mental stressor in cardiovascu-
lar research. It is classically called as Stroop color word test
which was originally introduced by John Ridley Stroop.
The Stroop Color and Word Test is based on the observa-
tion that individuals can read words much faster than they
can identify and name colors. Its quick and easy adminis-
tration, validity, and reliability make it a highly useful in-
strument. Essentially it comprises of three kinds of stimuli:
colored rectangles serving as the control, names of colors
written in the congruent color (eg. ‘GREEN’ in green) and
the names of colors presented in an incongruent color
(GREEN’ in red). The test requires the subjects to name the
color of the rectangles, the words of the congruent stimuli
and the color of the incongruent stimuli, without reading
the actual word itself. When presented with the incongru-
ent stimuli, the subject gets into a conflict filled stressful
situation because his reply is influenced by his learning.
This is referred to as the Stroop interference. Among all
mental stressors, only the Stroop test has been found to ac-
tivate all components of the SNS.
Our study was inspired by the fact that very
few studies were done in Indian subcontinent to
demonstrate how different individuals react to physical
as well as mental stress and document its effect on HRV.
Several Studies have shown that the computerized Stroop
test causes an increase in heart rate, decreases HRV and
increases catecholamine secretion thus making it a suit-
able and well standardized mental stressor. In the current
study HRV recordings were taken during rest and stroop
color word test and studied how cardiovascular reactivity
to stress is associated with changes in HRV parameters.
Materials and Methods:
Fifty healthy young volunteers were included in the study
who were assessed for HRV and Stroop test after acquiring
oral and written consent. The study also got the approval
from ethical committee, AIIMS, Bhopal. None of the sub-
jects had been previously diagnosed with cardiovascular or
IJSR - INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH 287
Volume : 5 | Issue : 7 | July 2016 • ISSN No 2277 - 8179 | IF : 3.508 | IC Value : 69.48
Original Research Paper
psychiatric disorders, nor were they taking any medication
that would alter their heart rate. Subjects who had taken a
Stroop Test earlier and those who were color blind or dys-
lexic were excluded from the study. Volunteers were in-
structed not to eat a heavy meal, ingest caffeine or alcohol
or exercise 4 hours before arriving at the laboratory. They
were also asked to void urine before the test.
Heart rate, Respiratory rate and baseline blood pressure
was recorded for all subjects. The computerized version of
the Stroop color word test from ADinstruments Power lab
was used as a mental stressor and the subjects were trained
to respond using a keyboard. They were instructed to an-
swer as quickly and accurately as possible. Initially ECG
electrodes were connected to the volunteers and ECG was
recorded for 5 minutes after 15 minutes of rest at comfort-
able room temperature. After which each of them were
subjected to stress by means of Stroop test and ECG was
recorded for 5 minutes. The acquired ECG signal during
rest and Stroop test is digitized, stored and analyzed into
time and frequency domain methods of HRV by ADinstru-
ments power lab.
Stroop test:
The easy practice test: just name the color (not the word
says)
The real hard test: Name the  Color  (not what the word
says). (Note that it is the same list of words but written in
different color.) (PAY ATTENTION: The Color of the word
is different from what the word says.)
It clearly stated that, it takes much longer time to complete
the second test than the first test. The first test is easy be-
cause the color and meaning of the word are congruent.
There is no conflict. The second test is hard because the
color and meaning of the word are incongruent. This cre-
ates a conflict that the brain has to resolve. The reason why
it takes longer is because the brain has to suppress the
wrong answer that interferes with the right answer, before
the right answer comes through.
HRV: The frequency domain and time-domain indices
which were reported from the HRV recordings include:
Time domain
Mean heart rate
Mean RR
SDNN - Standard deviation of all R-R intervals (ms)
RMSSD - Square root of the mean of the successive differ-
ences between R-R intervals (ms)
NN50 - number of interval differences of successive NN in-
tervals greater than 50 ms
PNN50 - Percentage of successive differences between R-R
intervals greater than 50 ms (%)
Frequency domain
TF - Total power (µs2)
VLF – Very Low frequency spectrum (µs2) (Between 0 and
0.04 Hz)
LF - Low frequency spectrum (µs2) (Between 0.04 and 0.15
Hz)
HF - High frequency spectrum (µs2) (Between 0.15 and 0.45
Hz)
LF/HF - LF/HF ratio
Normalized LF and HF
Results:
Results were analyzed by SPSS version 17.0 and Graph pad
prism. ANOVA and Unpaired Student„t‟ test was used to
compare the data. All values were expressed as Mean+SD.
The P values  0.05 were statistically considered significant.
TABLE I: Shows Anthropometrical measurements in all
healthy volunteers and Comparison of respiratory rate,
systolic blood pressure (SBP) and diastolic blood pressure
(DBP) and mean arterial pressure (MABP) of the subjects
during rest and during stroop test. Data presented are
Mean±SD. The data analyzed using students unpaired t-test
to compare the mean values between two groups. There
was no statistically significant difference in DBP and MAP
in individuals during rest and Stroop test. However Im-
mediately after the test the increase in SBP and respiratory
rate values were statistically significant.
Hrv analysis
in participants
during rest
Hrv analysis
in participants
during Stroop
test
P value
Age
28.52 ± 0.71
173.55 ± 4.96
65.96 ± 7.89
22.63 ± 1.96
H e i g h t
(cms)
Weight (kg)
BMI
Respiratory
rate
14 ± 1.00 16 ± 0.96 0.0001***
SBP (mmhg) 115.86 ± 7.63 120.32 ± 5.63 0.0012**
D B P
(mmhg)
80.98 ± 6.12 81.69 ± 7.23 0.5973
M A B P
(mmhg)
91.49 ± 5.36 93.62 ± 5.94 0.0627
TABLE I I: Shows comparison of Time domain measures of
HRV in individuals during rest and stroop. We found that
there is no statistically significant difference in mean R-R
interval and NN50, PNN50% in the individuals during rest
and stroop test. However mean HR, SDNN, RMSSD values
showed statistically significant difference during rest and
Stroop test.
288 IJSR - INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH
Volume : 5 | Issue : 7 | July 2016 • ISSN No 2277 - 8179 | IF : 3.508 | IC Value : 69.48
Original Research Paper
Time domain
parameters in
p a r t i c i p a n t s
dutring rest
Time domain
parameters in
p a r t i c i p a n t s
during Stroop
test
P value
Mean HR 80.20 ± 13.26 86.14 ± 10.36 0.0142*
Mean RR 770.90 ± 113.59 745.90 ± 114.36 0.2754
SDNN 69.27 ± 22.06 53.36 ± 26.36 0.0015**
RMSSD 51.44 ± 23.10 39.51 ± 25.69 0.0164*
NN50 49.63 ± 33.18 91.76 ± 70.46 0.6502
PNN50% 26.23 ± 17.45 25.61 ± 16.80 0.8567
TABLE I I I: Shows comparison of Frequency domain meas-
ures of HRV in individuals during rest and stroop. In our
study, Total Power, LF nu, HF nu, showed no significant
difference among participants during rest and stroop test.
However, during the stroop test, there was a statistically
significant increase in LFms2, LF-HF ratio and decrease in
HFms2 when compared to resting participants.
F r e q u e n c y
d o m a i n
parameters in
p a r t i c i p a n t s
during rest
Frequency domain
parameters in
participants during
Stroop test
P value
TP 3641.74 ± 2517.86 2936.36 ± 1998.89 0.0511
L F
ms2 1257.26 ± 955.63 1360.48 ± 752.11 0.0261*
H F
ms2 952.36 ± 745.39 849.39 ± 649.36 0.0463*
LF nu 54.29 ± 14.39 56.01 ± 10.26 0.4930
HF nu 43.63 ± 15.59 40.59 ± 10.28 0.2525
LF/HF 1.19 ± 0.51 2.21 ± 0.89 0.0001***
Discussion:
HRV analysis has gained much importance in re-
cent years as a technique employed to explore
the activity of ANS, and as an important ear-
ly marker for identifying both physiological and
pathological conditions. An attempt was made
to examine the influence of stress on Heart Rate
Variability. The objective of the study was to evaluate the
cardiovascular responses to stress induced by the comput-
erized version of the Stroop word-color test. The results of
the physiological measurements of HRV during stroop test
proved increased sympathetic activity in individuals dur-
ing the stroop test. Also, significantly higher systolic blood
pressure was found in stress group i.e. stroop test. This
may be due to the changes in the heart rate which raises
the SBP and the fact that the diastolic pressure is mainly
due to peripheral resistance, which is unlikely to be al-
tered. Several studies have shown that there appears to be
a correlation between stress, the HPAA axis and the ANS
control of the cardiac activity. When the person is exposed
to stress, hormones play a role in decreasing vagal and in-
creasing sympathetic activity by enhancing the cholinergic
muscarinic activity at central and peripheral levels. It has
been postulated that both physiological and psychologi-
cal stress contributes to the change in blood pressure, HR,
HRV and reported significantly higher SBP and increased
sympathetic activity in stress group when compared to rest
group. This strongly suggests that there is activation of the
sympathetic adrenal medullary axis by stress. Other studies
have also shown higher heart and respiration rates during
mental and physical stress than at rest.
Mean values ± SD for heart rate increased highly and sig-
nificantly during physical stress. Thus, as expected there
was significant decrease in RR interval both during stress.
SDNN measures the overall HRV and estimates changes in
heart rate due to cycles longer than 5 min. Low SDNN in-
dicates low HRV which is not good for healthy life. In our
study, significantly lower SDNN values in stress groups in-
dicate stress affects the cardiac autonomic function and in-
crease the risk. RMSSD estimates high frequency variation
in heart rate in short term recordings. Low RMSSD along
with Low SDNN indicates cardiac risk. The same reflected
in our study as well. NN50 and PNN50% estimates short
term HRV and reflects vagally mediated response of heart
rate. The values are not statistically significant between rest
and stress group. LF ms2 indicates mainly the sympathetic
nervous system and also the parasympathetic nervous sys-
tem to some extent whereas HF ms2 indicates the activ-
ity of parasympathetic nervous system. In our study, sig-
nificantly high LF and Low HF values were seen in stress
group when compared to rest group clearly proved that in-
creased sympathetic and decreased parasympathetic activ-
ity is seen during stress. LF/ HF indicate sympatho – vagal
balance which showed statistically significant higher values
in stress group than the rest group. LF/HF ratio less than 2
indicates healthy stress levels.
In our study, a significant difference was observed between
the rest group and stress group with respect to their overall
HRV status. It was found that participants underwent for
stroop test had significantly reduced heart rate variabil-
ity throughout the test in the form of decreased vagal and
increased sympathetic activity. This was reflected by low-
er total power, HF ms2, HF nu and increased mean heart
rate, LF ms2, LF nu, LF/HF ratio in individuals during rest
when compared to stress. Moriguchi et aland Lucini D et al
also documented the same.
Conclusion:
In conclusion, our results are in support of higher sympa-
thetic activity and lower parasympathetic activity in re-
sponse to stress test (stroop test). Thus, we conclude both
physical and mental or any kind of stress influence risk fac-
tors that may increase risk for cardiovascular diseases.
Scope for further study:
Scope and reliability of the study can be enhanced by:
•	 	 HRV was recorded for a very short duration. A 24 	
hours Holter recording for HRV would be a better 	
choice to understand the cardiovascular autonomic ac	
tivity
•	 	 Increasing number of subjects.
•	 	 Including subjects from different professions.
•	 	 Testing efficacy of other physical and mental stress in	
ducers, to identify the optimal inducer to be used for 	
the study.
•	 	 Assessing biochemical parameters like cortisol and 	
catecholamines during the study.
ACKNOWLEDGEMENTS:
Each author should have participated sufficiently in the
work to take the public responsibity for appropriate por-
tions of the content. All authors read and approved the
final manuscript. We are thankful to subjects and all the
technical staff for their contribution in the completion of
the project.
CONFLICTS OF INTEREST: Nil
REFERNCES:
1. 	 Lundberg U, Franken haeuser M: Stress and work load of men and wom	
en 	 in highranking position. J Occup Health Psycho 1999; 4:142-151.
2. 	 Chandola, T., Britton, A., Brunner, E., Hemingway, H., Malik, M., Kumari, 	
M., Badrick, E., and Marmot, M. Work stress and coronary heart disease: 	
what are the mechanisms? Eur Heart Journal 2008; 29(5):640-648.
3. 	 Elkin, A., Rosch, P. Promoting mental health in the workplace: The pre	
vention side of stress management. Occup Heart-State Art.1990; 5:739-754
4. 	 Tavazzi L, Zotti AM, Rondanelli R. The role of psychologic stress in the
IJSR - INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH 289
Volume : 5 | Issue : 7 | July 2016 • ISSN No 2277 - 8179 | IF : 3.508 | IC Value : 69.48
Original Research Paper
genesis of lethal arrhythmias in patients with coronary artery disease. 	
Heart J .1986; 7 (Suppl. A):99–106.
5. 	 Grippo, A.J., Johnson, A.K. Biological mechanisms in the relationship be	
tween depression and heart disease. Neurosci. Biobehav. Rev.2002; 26 (8): 	
941–962.
6. 	 Alvarenga, M.E., Richards, J.C., Lambert, G., Esler, M.D. Psychophysiolog	
ical mechanisms in panic disorder: a correlative analysis of noradrenaline 	
spillover, neuronal noradrenaline reuptake, power spectral analysis of 	
heart rate variability, and psychological variables. Psychosom. Med.2006; 	
68 (1) : 8–16.
7. 	 A. Moriguchi et al Spectral change in heart rate variability in response to 	
mental arithmetic before and after the beta-adrenoceptor blocker, carteo	
lol. Clin. Auton. Res.1990;2:267-270
8. 	 Lucini, D., Norbiato, G., Clerici, M., et al. Hemodynamic and autonomic	
adjustments to real life stress conditions in humans. Hypertension.2002; 	
39:184-188.

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Evaluation of cardiac responses to stress in healthy individuals

  • 1. 286 IJSR - INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH Volume : 5 | Issue : 7 | July 2016 • ISSN No 2277 - 8179 | IF : 3.508 | IC Value : 69.48 Original Research Paper Medical Science Chiranjeevi Kumar Endukuru Tutor/Demonstrator AIIMS Bhopal, Sonali Tripathi Tutor/Demonstrator AIIMS Bhopal, Evaluation of Cardiac Responses to Stress in Healthy Individu- als - A Non Invasive Evaluation by Heart Rate Variability and Stroop Test KEYWORDS : Heart rate variability, Stroop test, Autonomic nervous system. ABSTRACT Objective and Study Design: Stress is considered as physiological response to the mental, emotional, or physi- cal challenges. Most of the times mental stress provokes body’s “fight or flight” response called as acute stress response. But prolonged or chronic stress can affect numerous physiological functions, such as growth, immune system, metabolism, reproduction and circulation. The Autonomic regulation of the cardiovascular system is most commonly affected by stress and is assessed by means of heart rate variability (HRV) Material and Methods: The aim of this study is to establish mental stress and cardiovascular autonomic Nervous System response to mental stress assessed by combining different physiological parameters using HRV and Stroop test as tool. We compared the mean RR interval, Blood pressure and indices of HRV during the Stroop Color Word Test (SCWT).A total of 50 normal healthy subjects were participated in this study. Results: Statistically significant change in heart rate, RR interval and BP was observed during the stress as compared to resting condi- tion. All the components of HRV (SDNN, RMSSD, NN50, PNN50, LF, HF, LF/HF) were sensitive to stress in all the healthy individu- als. Males were more prone to stress when compared to females. Conclusion: The results suggest that there was increased sympathetic activity and reduced parasympathetic activity in HRV performed during the Stroop test and showed statistically significant difference among the genders. Both physical and mental stress influence risk factors that may increase risk for cardiovascular diseases and autonomic imbalance INTRODUCTION: Stress is a huge problem in today’s society and is an inevi- table part of everyday life. Although stress has a psycho- logical origin, it affects several physiological processes in the human body. Physiological stress affects homeostasis, leading to increase in the production of cortisol by the hy- pothalamic-pituitary adrenal axis (HPAA) and changes in the cardiovascular system brought about by the Autonomic Nervous System (ANS). On the other hand, psychological stress causes bodily changes that originate in the higher centers of the brain and act in the periphery via the ANS. The brain innervates the heart by means of stimuli via the Autonomic Nervous System (ANS), which is divided into sympathetic and parasympathetic branches. The sym- pathetic activity leads to an increase in HR (e.g. during sports exercise), while parasympathetic activity induces a lower HR (e.g. during sleep). The two circuits are con- stantly interacting and this interaction is reflected in HRV. HRV, therefore, provides a measure to express the activity of the ANS, and may consequently provide a measure for stress. Though autonomic response to stress has been as- sessed using different techniques like Plasma and urinary catecholamine levels, cardiac norepinephrine spillover and micro-neurographic techniques, the concept of Heart Rate Variability (HRV) has been proposed as a robust, non – invasive and sensitive tool to study the influence of both sympathetic and parasympathetic systems on the heart. Currently, the time and spectral analysis of HRV is seen as a research and clinical tool for the study of cardiovascular autonomic regulation. Short term HRV has been used as a quantitative probe to assess the modulation of heart rate by the Sympathetic Nervous System (SNS) and the Parasym- pathetic Nervous System. Numerous stressors have been developed to study the au- tonomic modulation of cardiovascular function in the labo- ratory like stress ergonometry, exercise, cold pressor test or Valsalva manoeuvre. The hemodynamic response to mental stress differs from the corresponding response to physical exercise. So we preferred stroop test as a stressor. Stroop test is commonly used as a mental stressor in cardiovascu- lar research. It is classically called as Stroop color word test which was originally introduced by John Ridley Stroop. The Stroop Color and Word Test is based on the observa- tion that individuals can read words much faster than they can identify and name colors. Its quick and easy adminis- tration, validity, and reliability make it a highly useful in- strument. Essentially it comprises of three kinds of stimuli: colored rectangles serving as the control, names of colors written in the congruent color (eg. ‘GREEN’ in green) and the names of colors presented in an incongruent color (GREEN’ in red). The test requires the subjects to name the color of the rectangles, the words of the congruent stimuli and the color of the incongruent stimuli, without reading the actual word itself. When presented with the incongru- ent stimuli, the subject gets into a conflict filled stressful situation because his reply is influenced by his learning. This is referred to as the Stroop interference. Among all mental stressors, only the Stroop test has been found to ac- tivate all components of the SNS. Our study was inspired by the fact that very few studies were done in Indian subcontinent to demonstrate how different individuals react to physical as well as mental stress and document its effect on HRV. Several Studies have shown that the computerized Stroop test causes an increase in heart rate, decreases HRV and increases catecholamine secretion thus making it a suit- able and well standardized mental stressor. In the current study HRV recordings were taken during rest and stroop color word test and studied how cardiovascular reactivity to stress is associated with changes in HRV parameters. Materials and Methods: Fifty healthy young volunteers were included in the study who were assessed for HRV and Stroop test after acquiring oral and written consent. The study also got the approval from ethical committee, AIIMS, Bhopal. None of the sub- jects had been previously diagnosed with cardiovascular or
  • 2. IJSR - INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH 287 Volume : 5 | Issue : 7 | July 2016 • ISSN No 2277 - 8179 | IF : 3.508 | IC Value : 69.48 Original Research Paper psychiatric disorders, nor were they taking any medication that would alter their heart rate. Subjects who had taken a Stroop Test earlier and those who were color blind or dys- lexic were excluded from the study. Volunteers were in- structed not to eat a heavy meal, ingest caffeine or alcohol or exercise 4 hours before arriving at the laboratory. They were also asked to void urine before the test. Heart rate, Respiratory rate and baseline blood pressure was recorded for all subjects. The computerized version of the Stroop color word test from ADinstruments Power lab was used as a mental stressor and the subjects were trained to respond using a keyboard. They were instructed to an- swer as quickly and accurately as possible. Initially ECG electrodes were connected to the volunteers and ECG was recorded for 5 minutes after 15 minutes of rest at comfort- able room temperature. After which each of them were subjected to stress by means of Stroop test and ECG was recorded for 5 minutes. The acquired ECG signal during rest and Stroop test is digitized, stored and analyzed into time and frequency domain methods of HRV by ADinstru- ments power lab. Stroop test: The easy practice test: just name the color (not the word says) The real hard test: Name the  Color  (not what the word says). (Note that it is the same list of words but written in different color.) (PAY ATTENTION: The Color of the word is different from what the word says.) It clearly stated that, it takes much longer time to complete the second test than the first test. The first test is easy be- cause the color and meaning of the word are congruent. There is no conflict. The second test is hard because the color and meaning of the word are incongruent. This cre- ates a conflict that the brain has to resolve. The reason why it takes longer is because the brain has to suppress the wrong answer that interferes with the right answer, before the right answer comes through. HRV: The frequency domain and time-domain indices which were reported from the HRV recordings include: Time domain Mean heart rate Mean RR SDNN - Standard deviation of all R-R intervals (ms) RMSSD - Square root of the mean of the successive differ- ences between R-R intervals (ms) NN50 - number of interval differences of successive NN in- tervals greater than 50 ms PNN50 - Percentage of successive differences between R-R intervals greater than 50 ms (%) Frequency domain TF - Total power (µs2) VLF – Very Low frequency spectrum (µs2) (Between 0 and 0.04 Hz) LF - Low frequency spectrum (µs2) (Between 0.04 and 0.15 Hz) HF - High frequency spectrum (µs2) (Between 0.15 and 0.45 Hz) LF/HF - LF/HF ratio Normalized LF and HF Results: Results were analyzed by SPSS version 17.0 and Graph pad prism. ANOVA and Unpaired Student„t‟ test was used to compare the data. All values were expressed as Mean+SD. The P values 0.05 were statistically considered significant. TABLE I: Shows Anthropometrical measurements in all healthy volunteers and Comparison of respiratory rate, systolic blood pressure (SBP) and diastolic blood pressure (DBP) and mean arterial pressure (MABP) of the subjects during rest and during stroop test. Data presented are Mean±SD. The data analyzed using students unpaired t-test to compare the mean values between two groups. There was no statistically significant difference in DBP and MAP in individuals during rest and Stroop test. However Im- mediately after the test the increase in SBP and respiratory rate values were statistically significant. Hrv analysis in participants during rest Hrv analysis in participants during Stroop test P value Age 28.52 ± 0.71 173.55 ± 4.96 65.96 ± 7.89 22.63 ± 1.96 H e i g h t (cms) Weight (kg) BMI Respiratory rate 14 ± 1.00 16 ± 0.96 0.0001*** SBP (mmhg) 115.86 ± 7.63 120.32 ± 5.63 0.0012** D B P (mmhg) 80.98 ± 6.12 81.69 ± 7.23 0.5973 M A B P (mmhg) 91.49 ± 5.36 93.62 ± 5.94 0.0627 TABLE I I: Shows comparison of Time domain measures of HRV in individuals during rest and stroop. We found that there is no statistically significant difference in mean R-R interval and NN50, PNN50% in the individuals during rest and stroop test. However mean HR, SDNN, RMSSD values showed statistically significant difference during rest and Stroop test.
  • 3. 288 IJSR - INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH Volume : 5 | Issue : 7 | July 2016 • ISSN No 2277 - 8179 | IF : 3.508 | IC Value : 69.48 Original Research Paper Time domain parameters in p a r t i c i p a n t s dutring rest Time domain parameters in p a r t i c i p a n t s during Stroop test P value Mean HR 80.20 ± 13.26 86.14 ± 10.36 0.0142* Mean RR 770.90 ± 113.59 745.90 ± 114.36 0.2754 SDNN 69.27 ± 22.06 53.36 ± 26.36 0.0015** RMSSD 51.44 ± 23.10 39.51 ± 25.69 0.0164* NN50 49.63 ± 33.18 91.76 ± 70.46 0.6502 PNN50% 26.23 ± 17.45 25.61 ± 16.80 0.8567 TABLE I I I: Shows comparison of Frequency domain meas- ures of HRV in individuals during rest and stroop. In our study, Total Power, LF nu, HF nu, showed no significant difference among participants during rest and stroop test. However, during the stroop test, there was a statistically significant increase in LFms2, LF-HF ratio and decrease in HFms2 when compared to resting participants. F r e q u e n c y d o m a i n parameters in p a r t i c i p a n t s during rest Frequency domain parameters in participants during Stroop test P value TP 3641.74 ± 2517.86 2936.36 ± 1998.89 0.0511 L F ms2 1257.26 ± 955.63 1360.48 ± 752.11 0.0261* H F ms2 952.36 ± 745.39 849.39 ± 649.36 0.0463* LF nu 54.29 ± 14.39 56.01 ± 10.26 0.4930 HF nu 43.63 ± 15.59 40.59 ± 10.28 0.2525 LF/HF 1.19 ± 0.51 2.21 ± 0.89 0.0001*** Discussion: HRV analysis has gained much importance in re- cent years as a technique employed to explore the activity of ANS, and as an important ear- ly marker for identifying both physiological and pathological conditions. An attempt was made to examine the influence of stress on Heart Rate Variability. The objective of the study was to evaluate the cardiovascular responses to stress induced by the comput- erized version of the Stroop word-color test. The results of the physiological measurements of HRV during stroop test proved increased sympathetic activity in individuals dur- ing the stroop test. Also, significantly higher systolic blood pressure was found in stress group i.e. stroop test. This may be due to the changes in the heart rate which raises the SBP and the fact that the diastolic pressure is mainly due to peripheral resistance, which is unlikely to be al- tered. Several studies have shown that there appears to be a correlation between stress, the HPAA axis and the ANS control of the cardiac activity. When the person is exposed to stress, hormones play a role in decreasing vagal and in- creasing sympathetic activity by enhancing the cholinergic muscarinic activity at central and peripheral levels. It has been postulated that both physiological and psychologi- cal stress contributes to the change in blood pressure, HR, HRV and reported significantly higher SBP and increased sympathetic activity in stress group when compared to rest group. This strongly suggests that there is activation of the sympathetic adrenal medullary axis by stress. Other studies have also shown higher heart and respiration rates during mental and physical stress than at rest. Mean values ± SD for heart rate increased highly and sig- nificantly during physical stress. Thus, as expected there was significant decrease in RR interval both during stress. SDNN measures the overall HRV and estimates changes in heart rate due to cycles longer than 5 min. Low SDNN in- dicates low HRV which is not good for healthy life. In our study, significantly lower SDNN values in stress groups in- dicate stress affects the cardiac autonomic function and in- crease the risk. RMSSD estimates high frequency variation in heart rate in short term recordings. Low RMSSD along with Low SDNN indicates cardiac risk. The same reflected in our study as well. NN50 and PNN50% estimates short term HRV and reflects vagally mediated response of heart rate. The values are not statistically significant between rest and stress group. LF ms2 indicates mainly the sympathetic nervous system and also the parasympathetic nervous sys- tem to some extent whereas HF ms2 indicates the activ- ity of parasympathetic nervous system. In our study, sig- nificantly high LF and Low HF values were seen in stress group when compared to rest group clearly proved that in- creased sympathetic and decreased parasympathetic activ- ity is seen during stress. LF/ HF indicate sympatho – vagal balance which showed statistically significant higher values in stress group than the rest group. LF/HF ratio less than 2 indicates healthy stress levels. In our study, a significant difference was observed between the rest group and stress group with respect to their overall HRV status. It was found that participants underwent for stroop test had significantly reduced heart rate variabil- ity throughout the test in the form of decreased vagal and increased sympathetic activity. This was reflected by low- er total power, HF ms2, HF nu and increased mean heart rate, LF ms2, LF nu, LF/HF ratio in individuals during rest when compared to stress. Moriguchi et aland Lucini D et al also documented the same. Conclusion: In conclusion, our results are in support of higher sympa- thetic activity and lower parasympathetic activity in re- sponse to stress test (stroop test). Thus, we conclude both physical and mental or any kind of stress influence risk fac- tors that may increase risk for cardiovascular diseases. Scope for further study: Scope and reliability of the study can be enhanced by: • HRV was recorded for a very short duration. A 24 hours Holter recording for HRV would be a better choice to understand the cardiovascular autonomic ac tivity • Increasing number of subjects. • Including subjects from different professions. • Testing efficacy of other physical and mental stress in ducers, to identify the optimal inducer to be used for the study. • Assessing biochemical parameters like cortisol and catecholamines during the study. ACKNOWLEDGEMENTS: Each author should have participated sufficiently in the work to take the public responsibity for appropriate por- tions of the content. All authors read and approved the final manuscript. We are thankful to subjects and all the technical staff for their contribution in the completion of the project. CONFLICTS OF INTEREST: Nil REFERNCES: 1. Lundberg U, Franken haeuser M: Stress and work load of men and wom en in highranking position. J Occup Health Psycho 1999; 4:142-151. 2. Chandola, T., Britton, A., Brunner, E., Hemingway, H., Malik, M., Kumari, M., Badrick, E., and Marmot, M. Work stress and coronary heart disease: what are the mechanisms? Eur Heart Journal 2008; 29(5):640-648. 3. Elkin, A., Rosch, P. Promoting mental health in the workplace: The pre vention side of stress management. Occup Heart-State Art.1990; 5:739-754 4. Tavazzi L, Zotti AM, Rondanelli R. The role of psychologic stress in the
  • 4. IJSR - INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH 289 Volume : 5 | Issue : 7 | July 2016 • ISSN No 2277 - 8179 | IF : 3.508 | IC Value : 69.48 Original Research Paper genesis of lethal arrhythmias in patients with coronary artery disease. Heart J .1986; 7 (Suppl. A):99–106. 5. Grippo, A.J., Johnson, A.K. Biological mechanisms in the relationship be tween depression and heart disease. Neurosci. Biobehav. Rev.2002; 26 (8): 941–962. 6. Alvarenga, M.E., Richards, J.C., Lambert, G., Esler, M.D. Psychophysiolog ical mechanisms in panic disorder: a correlative analysis of noradrenaline spillover, neuronal noradrenaline reuptake, power spectral analysis of heart rate variability, and psychological variables. Psychosom. Med.2006; 68 (1) : 8–16. 7. A. Moriguchi et al Spectral change in heart rate variability in response to mental arithmetic before and after the beta-adrenoceptor blocker, carteo lol. Clin. Auton. Res.1990;2:267-270 8. Lucini, D., Norbiato, G., Clerici, M., et al. Hemodynamic and autonomic adjustments to real life stress conditions in humans. Hypertension.2002; 39:184-188.