26 healthy subjects (13
boys and 13 girls) aged 16.1 ± 0.2 (mean ± SD) years were recruited to
the shavasan group and 17 age and gender matched healthy subjects (9 boys
and 8 girls) aged 15.8 ± 0.6 years to the control group (P=0.07). The BMI
of the shavasan and the control groups were 20.8 ± 2.8 kg/m2 (mean ± SD)
and 19.3 ± 3.5 respectively (P=0.16). ECG (a bipolar chest lead) was
continuously acquired at a rate of 1000 samples per second for five
minutes using the BIOPAC® MP 100 hardware (BIOPAC Systems Inc., USA) and
the Acknowledge® 3.7.1 software (BIOPAC Systems Inc., USA) and a
Microsoft Windows-based PC. Blood pressure was measured by an automated
non-invasive blood pressure monitor (Colins Press-Mate BP 8800, Colin®
Corporation, Japan). Recordings were obtained in the Polygraph laboratory,
between 10.00 am and 12.00 pm, 3 h after a light breakfast. The
environment was quiet, the laboratory temperature 25°C, and the lighting
subdued. After familiarizing the subject with the procedure and at least
10 minutes of rest in the supine position, ECG was recorded with subjects
in the supine position. They were instructed to breathe quietly at about
12 breaths per minute during the recording. None of the subjects were
taking any medication influencing autonomic function. Under similar
conditions, we determined the resting BP, heart rate (HR) and HRV, before
and within 5 days after 6 weeks of shavasan training. Shavasan group was
taught shavasan by a trained yoga teacher and subjects practiced the same
for 15 minutes a day, four days a week for a total duration of six weeks.
The control group did not receive any shavasan training. The technique of
shavasan is given elsewhere (8). The local ethics committee approved the
study protocol. Written informed consent was taken from the parents of all
subjects.
HRV analysis was done
conforming to established standards (9) using the Acknowledge 3.7.1
software. Briefly, ectopics and artifacts in the ECG were edited and a
256-second long RR interval tachogram obtained by using a rate detection algorithm. The RR interval tachogram was
re-sampled at 4 Hz, its mean and
trend removed, a Hanning window applied and transformed by fast Fourier
algorithm to obtain a power spectrum of RR intervals. Low frequency power
(LF power) and high frequency power (HF power) were obtained by
integrating the spectrum from 0.04-0.15 Hz and 0.15-0.40 Hz
respectively (9). Total power was calculated as the sum of LF and HF
powers (5).
The shavasan and control
groups were compared by unpaired âtâ test. After the training period,
the spectral powers of the two groups did not follow a normal distribution
and these were compared using a non-parametric test (Mann-Whitney test).
Changes within the shavasan and control groups after the training period
were analyzed by paired âtâ test A P value less than 0.05 was taken as
indicating a statistically significant difference between the compared
means. |