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VOLUME 9 | ISSUE 1 | 2014 |
59
Effect of plyometric training on sand versus
grass on muscle soreness and selected sport-
specific performance variables in hockey players
SINGH AMRINDER 1 , GAUR SAKSHI, SANDHU JASPAL SINGH
Department of Sports Medicine and Physiotherapy, Guru Nanak Dev University, Amritsar
ABSTRACT
Amrinder, S., Sakshi, G., & Singh, S.J. (2014). Effect of plyometric training on sand versus grass on muscle
soreness and selected sport-specific performance variables in hockey players. J. Hum. Sport Exerc., 9(1),
pp.59-67.The purpose of this study was to compare the effects of a 4-week plyometric training on two
different surfaces, sand and grass on muscle soreness and selected sport-specific performance variables
in national level hockey players. Subjects were randomly divided into two groups- grass training group
(N=20) and sand training group (N=20). After the baseline measurements of strength, endurance, balance,
and agility, plyometric training was given for 4-weeks,three sessions per week. Muscle soreness was
assessed at the end of each training session on a 7-point likert scale.Post-readings of strength, endurance,
balance and agility were taken after the 4-week training programme. Data when compared after plyometric
training revealed no significant changes between two groups (p>0.05), however players in the sand group
experienced less muscle soreness (p<0.05) than grass group. There was significant improvement (p<0.05)
seen in the tested variables in both groups after the training but no significant interaction was found
between the two surfaces after the training. These findings suggest that short-term plyometric training on
sand/non-rigid surface induces similar improvements in strength, endurance, balance and agility as on firm
surface but induces significantly less muscle soreness. Hence, plyometric training on sand is viable option
for coaches to enhance performance in athletes,while reducing risk of muscle soreness and damage. Key
words: PLYOMETRICS, MUSCLE SORENESS, STRENGTH, ENDURANCE, BALANCE, AGILITY.
1 Corresponding author. Grand Trunk Rd, Off NH 1, Amritsar, Punjab, 143005, India.
E-mail: singhamrinder_30@yahoo.com
Submitted for publication March 2013
Accepted for publication December 2013
JOURNAL OF HUMAN SPORT & EXERCISE ISSN 1988-5202
© Faculty of Education. University of Alicante
doi:10.4100/jhse.2014.91.07
Original Article
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| 2014 | ISSUE 1 | VOLUME 9 © 2013 University of Alicante
INTRODUCTION
The game of field hockey is a high intensity, non-continuous game in which the physiological demands are
considerable, placing it in the category of ‘heavy exercise’ (Ghosh et al., 1991; Reillt & Borrie, 1992). The
unique requirements of field hockey including dribbling the ball and moving quickly in a semi-crouched
posture superimpose the workload demanded by the game(Reilly & Seaton, 1990). Competitive field
hockey matches place heavy aerobic demands on players and require them to expend energy at relatively
high levels (Reilly & Borrie, 1992) (Boyle et al., 1994). While intermittent in nature, players are required to
perform continuously for 70 minutes with just one 5-10 minute interval (Boyle et al., 1994). Although the
majority of the game is spent in low-level activity such as walking and light jogging, repeated back-to-back
sprints make speed and tolerance to lactic acid an important characteristic in players (Spencer et al., 2004).
Plyometric are training techniques used by athletes in all types of sports to increase strength and
explosiveness (Chu, 1998) and have been used successfully over the years to elicit training responses
from athletes. The training typically consists of stretch-shortening cycle exercises characterised by multi-
joint actions, rapid eccentric phases and explosive concentric muscular contractions potentiated by stretch
reflex (Bobbert, 1990). This type of training has shown to improve performance in explosive sports that rely
on moving speed and power such as hockey, basketball, track and field, football, and volleyball (Miller et
al., 2002).
Plyometric training is commonly performed on firm surfaces (eg. grass and wood), but a more recent study
has shown that drop jumps on sand induce less muscle damage when compared to a firm surface (Miyama
& Nosaka, 2004). However, jumping on sand causes lower reuse of elastic energy and energy loss due to
feet slipping during the concentric action (Miyama & Nosaka, 2004; Giatsis et al., 2004). This might induce
different training effects compared to training on a firm surface. The lower impact on the musculoskeletal
system induced by plyometric training on sand might be useful during rehabilitation programmes.
In an attempt to evaluate the effects of surface type on plyometric training, studies have compared the
effects of aquatic and land plyometric training on strength, agility and muscle soreness (Robinson et al.,
2004; Martel et al., 2005; Stemm & Jacobson, 2007; Shiran et al., 2008). Robinson et al. (2004) and
Stemm et al. (2007) found no differences in the outcome variables assessed between land and aquatic
plyometrics. Other studies indicated less soreness in the aquatic conditions (Impellizzeri et al., 2008;
Robinson et al., 2004).
Hence the present study was conducted to address the selected performance variables through plyometric
training on two different training surfaces, sand and grass with the view to help hockey player achieve good
performance during the game and to rehabilitate injured players for return to sport participation.
MATERIAL AND METHODS
A parallel two-group, randomised, longitudinal (pre-test-post-test) design was used. After baseline
measurements, subjects were randomly allocated to two intervention groups: plyometric training on sand
(sand group) and plyometric training on grass (grass group).
Participants:
A total of 40 national level field hockey players (both male and female), aged 18-24 yrs (Mean ± SD, ages:
21.06 ±1.61 yr, height: 166.36 ± 8.54 cms., weight: 61.9±7.88 kg) participated in the study. After baseline
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measurements, players were randomly allocated into two equal groups (20 players in each group)- one of
them performed plyometric training on sand and the other group performed plyometric training on grass
surface. As the training surface was the independent variable, no control group was used. A verbal
explanation of the study was given to each subject; the subject then provided written informed consent in
accordance with the Institutional Ethics Committee, Faculty of Sports Medicine and Physiotherapy, Guru
Nanak Dev University, Amritsar.
Data Acquisition:
Pre-readings were taken 1 week before the beginning of plyometric training period. Each subject underwent
measurements of their peak torque, fatigue index, balance and agility. After the baseline measurements, 4-
week high-intensity plyometric training was conducted. The post readings were carried out 4 weeks after
the end of the training period to highlight the training induced changes. The pre and post readings of the
following parameters were recorded.
Isokinetic Strength and endurance:
Measurement of isokinetic variables i.e. Peak Torque and Fatigue Index for knee flexion and extension at
two different speeds 60 deg/sec and 180 deg/sec were noted using Kinitech Multijoint Isokinetic
Dynamometer. The player repeated concentric flexion and extension for 5 repetitions counted as one set at
60 deg/sec followed by 180 deg/sec. Three repetitions were done and player’s readings were noted
calculating the mean value of three sets in every speed.
Static Balance:
Static balance was checked in Kinematic Measurement System laboratory with Fitness Technology (FT)
wobble board. A 20 second wobble board balance test was performed, and the balance ratio was
measured. Three attempts were given and the average on off ratio time was noted from the mean of the
three attempts.
Agility Testing:
The Illinois Agility test (Getchell, 1979) was used to test the ability to turn in different directions and at
different angles. This test was performed on a non-slip surface. The aim of the test was to complete a
weaving running course in the shortest possible time. Cones marked the course, ten meters long and five
meters wide. The subject started face down, with the head to the start line, and hands by the shoulders. At
the whistle, the subject ran the course, without knocking down any cones. Time was recorded using a stop-
watch. Three trials were conducted and the best reading was recorded.
Plyometric Training Programme:
In the current study, a 4-week plyometric programme similar to that used by (Leubbers et al., 2003) was
employed, using set × repetitions instead of set × distance. Training was completed on a grass pitch and on
a 0.2 m deep dry sand surface. The plyometric training sessions were given during off-season, 3 times a
week in addition to the conventional training. Participants were asked to exert a maximal intensity during all
the training sessions. Muscle soreness was assessed on each session of the training period using 7-point
Likert scale of muscle soreness. During the training all the subjects were under direct supervision and were
instructed on how to perform each exercise. Prior to the training, in each session, the players first
performed a general body warm up by doing light jogging for 5-10 minutes and stretching for 5 minutes.
Following this the subjects were asked to perform 20 hops and 20 bounds, in order to acclimatize the
subjects with jumping and the landing procedures.
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Table 1 shows the 4-week plyometric training protocol. The training was followed by cool down session,
which included static stretching and light jogging for 5-10 minutes.
Table 1. Plyometric 4-week training protocol
Number of sets (number of repetitions)
Exercise
Week 1
Week 2
Week 3
Week 4
Vertical jumping
15 (10)
20 (10)
25 (10)
25 (10)
Bounding
3 (10)
4 (10)
5 (10)
5 (10)
Broad jumping
5 (8)
5 (10)
7 (10)
8 (10)
Drop jumping
3 (5)
5 (9)
6 (15)
6 (15)
Muscle soreness:
Muscle soreness was assessed at the end of each training session on an Italian version of 7-point Likert
scale of muscle soreness (Vicker et al., 2001). It consisted of 7 points ranging from 0-6, where 0 means
complete absence of soreness and 6 indicates severe pain, restricting the ability to move.
Likert scale of muscle soreness from Vickers
0 A complete absence of soreness
1 A light pain felt only when touched/a vague ache
2 A moderate pain felt only when touched/a slight persistent pain
3 A light pain when walking up or down stairs
4 A light pain when walking on a flat surface/painful
5 A moderate pain, stiffness, or weakness when walking/very painful
6 A severe pain that limits my ability to move
Statistical analysis:
The data was statistically analyzed using the Statistical Package for Social Sciences (SPSS)/19.0. A P
value <0.05 was considered statistically significant. Paired t-tests were used to identify any significant intra
group differences for the dependent variables. A one-way analysis of variance (ANOVA) was used to
determine the significance of differences between groups. When a significant difference among the training
groups was detected, a pair-wise comparison of the programs was done using a Tukey’s post hoc. The
alpha level was set at 0.05 in order for the difference to be considered significant. Data were graphed and
analyzed to evaluate the effects of the intervention.
Table 2. Shows demographic data of sand and grass group (mean ± standard deviation)
VARIABLE
TOTAL
(N=40)
GRASS GROUP
(N=20)
SAND GROUP
(N=20)
Age (years)
21.06 ± 1.61
20.7± 1.63
21.45 ± 1.54
Height (cm)
166.38 ± 8.54
166.85± 9.16
165.90± 8.08
Weight (kg)
61.89 ± 7.89
61.34± 8.10
62.45 ± 7.82
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Table 3. Shows the descriptive data of both grass and sand groups before and after 4-week plyometric
intervention
* shows the value to be significant at 0.05 level
P.T ext = peak torque extension; P.T flx = peak torque flexion; F.I ext = fatigue index extension; F.I flx = fatigue index flexion
Table 4. Mean weekly comparison of muscle soreness during the training period for grass and sand groups
MUSCLE SORENESS
GRASS GROUP
(N=20)
SAND GROUP
(N=20)
Week 1
4.1 ± 0.619
3.5 ± 0.397
Week 2
3.4 ± 0.475
2.8 ± 0.563
Week 3
2.8 ± 0.519
2.2 ± 0.474
Week 4
2.1 ± 0.591
1.5 ± 0.425
VARIABLE
GRASS GROUP
SAND GROUP
F-
value
P-
value
Pretest
Post-test
t-
value
Pretest
Post-test
t-
value
P.T ext
(N.m)
90.20±39.11
96.50±36.67
3.57
92.60± 24.78
95.70±25.11
3.57
0.164
0.920
P.T flx
(N.m)
52.90±16.15
57.20±20.29
2.16
65.90± 26.76
73.25±24.29
2.16
3.333
0.024*
F.I Ext(%)
109.45±17.25
106.55±16.69
2.42
110.10±12.46
104.65±12.84
2.42
0.579
0.631
F.I Flx (%)
104.15±13.51
99.75±10.161
2.97
101.50± 9.67
97.55±10.24
2.97
1.287
0.285
Balance
(no.of
contacts)
16.80±3.44
13.35±2.23
4.70
16.30 ± 2.46
14.30±2.34
4.70
7.534
0.000*
Agility (sec)
16.72±17.77
17.77±2.16
4.88
17.31 ± 1.85
18.15±1.94
4.88
1.747
0.164
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Figure 1. 4-week comparison of muscle soreness between grass and sand group
RESULTS
When the two groups were analysed, no significant interactions were found between the two groups with
regard to the tested performance variables. Even though results indicate no significant intergroup
differences (p>0.05), on comparing mean differences between both groups, sand group demonstrated
more increments in strength (3.33%) and endurance (0.79%) while, grass group showed more
improvement in balance (20.54%) and agility (6.28%). With regard to within-group changes, both grass and
sand groups improved significantly (p<0.05), where significant changes were recorded before and after
plyometric intervention.
Muscle soreness, which was measured throughout the training period of 4-weeks showed progressive
decrease in both groups but sand group showed significant (p<0.05) reduction in muscle soreness.
DISCUSSION
This study is an attempt to investigate the effect of plyometric training on two different training surfaces-
sand and grass on muscle soreness and selected sport-specific performance variables in national level
hockey players.
The current study employed a 4-week plyometric program with 3 sessions per week. The main findings in
the study indicate that a short-term plyometric training on sand (non-rigid) surface resulted in similar
changes in strength, endurance, balance and agility as in grass group but induced less muscle soreness
and damage than the grass group.
Plyometric training has commonly been performed on firm surfaces such as grass, athletic tracks and
wood. Risks of increased delayed-onset muscle soreness (DOMS) and damage caused by forces
generated during ground impact and intense plyometric contraction may be reduced when plyometric
training is performed on non-rigid surface such as sand or in aquatic conditions. Available evidence
suggests that short-term plyometrics on non-rigid surface (i.e. sand-based or aquatic) could elicit similar
increases in jumping and sprinting performance as traditional plyometrics, but with substantially less
muscle soreness (Markovic & Mikulic, 2005).
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The present study showed that during 4-week training period, the sand group experienced less muscle
soreness, as measured by the likert scale, and therefore support the hypothesis that a short-term
plyometric training on sand induced less muscle soreness and damage.
The mean value of muscle soreness for sand group (2.5) was lower than grass group (3.1). This result is in
lieu with the findings of (Miyama & Nosaka, 2004) who showed that plyometric training on sand induced
less muscle soreness than jumping on a firm surface, and also chains the findings of (Impellizzeri et al.,
2008) who demonstrated a similar comparative study in soccer players, comparing the jumping and
sprinting ability. There was progressive reduction in muscle soreness in both groups during the training
period, despite the fact that the exercise intensity was increased each week. This reduction can be
attributed to the repeated bout effect, as demonstrated by reduced symptoms following consequent bouts
of training.
Plyometrics have been verified by research to improve strength (Robinson et al., 2004; Martel et al., 2005;
Miller et al., 2002), balance (Esfangreh, 2011; Asadi & Arazi, 2012) and agility (Inpellizzeri et al., 2008;m
Asadi & Arazi, 2012; Micheal et al., 2006). In the current study, plyometric training on both surfaces yielded
similar enhancement in the tested variables, irrespective of the training surface. Within group comparison,
using paired t-test revealed significant improvements in both groups in all the tested parameters. Whereas,
there were no statistically significant differences between the two groups. Both groups improved their
strength, which was measured by isokinetic strength testing, comparing peak torque with knee in flexion
and extension, a trend for greater improvement was seen in sand group, where the ratio peak torque
(flexion/extension) was more (3.33%). Fatigue index, which is a measure of endurance, decreased in both
groups after plyometric training, indicating a better endurance. However, plyometric training did not
revealed any significant differences in endurance in both sand and grass groups. The result is also
consistent with the study conducted by Ademola O. Abass which focused on the relationship among
strength, endurance and power performance characteristics of untrained university undergraduates
following three different modes of plyometric and showed that there were no significant relationships among
the groups in strength and endurance performance characteristics. Results of our study indicate a lowered
fatigue index (flexion/extension) in sand group (0.79%).
To our knowledge, limited studies have addressed the effects of sand-plyometrics on strength performance.
Robinson et al. (2004) examined the effects of 8-week of aquatic and land plyometric training on peak
torque production by isokinetic strength testing and found that both groups improved peak torque
production. This finding is in accordance with our study. (Martel et al., 2005) compared the combination of
aquatic plyometrics and volleyball training with traditional volleyball training and concluded that aquatic
plyometric group significantly improved torque production during maximum knee extension exercises. In a
similar study, Shiran et al. (2008) reported that 5-week of aquatic plyometric and land plyometric improved
leg muscle strength in male wrestlers.
Improvement in balance, which was demonstrated by a reduction in no. of contacts, was better in grass
group (20.54%). The improvements achieved were the result of enhanced neuromuscular function. The
results of the present study are in lieu with (Myer et al., 2005) and (Twist et al.,1996) who reported that
plyometric training can improve balance performance in adults and females. (Witzke and Snow, 2000)
studied the effect of plyometric training on bone mass in adolescent girls they found that plyometric training
had an effect on static balance. Many of plyometric drills contain lateral movement patterns, which
activated muscles and neural pathways involved in the hip, knee, and ankle stabilization. These exercises
challenge the neuromuscular system that controls coordination and balance.
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Agility, tested by Illinois agility testing, had shown to improve in grass group (6.28%). The results improved
for the agility test because of better motor recruitment or neural adaptation. This result was consistent with
the result of a study of 6-weeks of plyometric training on agility by (Miller et al., 2002) and (Asadi & Arazi,
2012), on effects of high-intensity plyometric training on male basketball players.
CONCLUSIONS
The results of this study suggest that sand plyometric training results in similar gains in sports specific
parameters and therefore, can offer an effective training modality for performance enhancement in power-
based sports, such as hockey. As it induces less muscle soreness and damage and can incorporated in a
hockey training program when a reduction of stress on the musculoskeletal system is desired.
ACKNOWLEDGMENTS
The authors are thankful to Ethics Committee of Guru Nanak Dev University, for granting permission to
conduct the study.
Conflict of interests: No conflict of interests amongst authors.
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