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Abstract and Figures

Sled pushing is a commonly used form of resisted sprint training, however little empirical evidence exists, especially in youth populations. The aim of this study was to assess the effectiveness of unresisted and resisted sled pushing across multiple loads. Fifty high school athletes were assigned to an unresisted (n=12), or 3 resisted groups; light (n=14), moderate (n=13) and heavy (n=11) resistance that caused a 25, 50 and 75% velocity decrement in maximum sprint speed, respectively. All participants performed two sled push training sessions twice weekly for 8 weeks. Before and after the training intervention, the participants performed a series of jump, strength and sprint testing to assess athletic performance. Split times between 5 – 20 m improved significantly across all resisted groups (all p<0.05, d = 0.34 – 1.16) but did not improve significantly with unresisted sprinting. For all resisted groups gains were greatest over the first 5 m (d = 0.67‐0.84) and then diminished over each subsequent 5 m split (d = 0.08‐0.57). The magnitude of gains in split times was greatest within the heavy group. Small but non‐significant within group effects were found in pre to post force‐velocity profiles. There was a main effect of time but no interaction effects as all groups increased force and power, although the greatest increases were observed with the heavy load (d = 0.50‐0.51). The results of this study suggest that resisted sled pushing with any load was superior to unresisted sprint training, and that heavy loads may elicit the greatest gains in sprint performance over short distances.
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Scand J Med Sci Sports. 2019;00:1–8. wileyonlinelibrary.com/journal/sms
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© 2019 John Wiley & Sons A/S.
Published by John Wiley & Sons Ltd
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INTRODUCTION
Sprint speed and its development throughout maturation
is a crucial characteristic of athletic performance in team
sport competition.1 Various training methods and modali-
ties exist to develop and enhance speed capability in young
athletes.2 Coaches have employed both non–sprint-specific
and sprint-specific training methods with varying responses
in young athletes.3-5 Sprint-specific training can be defined
as training that is specific to the movement patterns and di-
rection of sprinting,6 whereas non–sprint-specific training
typically includes different forms of resistance, plyomet-
rics, and combined training primarily in a vertical plane of
motion. Sprint-specific training has largely proven more ef-
fective than non–sprint-specific training, with the greatest ef-
fects generally observed over shorter distance acceleration.7,8
One such method of sprint-specific training is to push or pull
a resistive load in a horizontal plane of motion known as re-
sisted sled training. Resisted sled training has been shown
to be more effective in the acceleration phase compared to
the max velocity phase of sprinting.9 Despite widespread use
by practitioners, both sled pulling and sled pushing have not
Received: 29 June 2019
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Revised: 30 September 2019
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Accepted: 6 November 2019
DOI: 10.1111/sms.13600
ORIGINAL ARTICLE
Influence of resisted sled-push training on the sprint force-
velocity profile of male high school athletes
Micheál J.Cahill1,2
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Jon L.Oliver2,3
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John B.Cronin2
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Kenneth P.Clark4
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Matt R.Cross2,5
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Rhodri S.Lloyd2,3,6
1Athlete Training and Health, Plano, TX,
USA
2Sports Performance Research Institute
New Zealand, Auckland University of
Technology, Auckland, New Zealand
3Youth Physical Development Centre,
Cardiff Metropolitan University, Cardiff,
UK
4West Chester University, West Chester,
PA, USA
5Laboratoire Interuniversitaire de Biologie
de la Motricité, University Savoie Mont
Blanc, Chambéry, France
6Centre for Sport Science and Human
Performance, Waikato Institute of
Technology, Hamilton, New Zealand
Correspondence
Micheál J. Cahill, Athlete Training and
Health, 6010 W Spring Creek Pkwy, Plano,
TX 75024, USA.
Email: mcahill@athleteth.com
Sled pushing is a commonly used form of resisted sprint training; however, little
empirical evidence exists, especially in youth populations. The aim of this study was
to assess the effectiveness of unresisted and resisted sled pushing across multiple
loads. Fifty high school athletes were assigned to an unresisted (n=12), or 3 resisted
groups; light (n=14), moderate (n=13), and heavy (n=11) resistance that caused
a 25%, 50%, and 75% velocity decrement in maximum sprint speed, respectively. All
participants performed two sled-push training sessions twice weekly for 8weeks.
Before and after the training intervention, the participants performed a series of jump,
strength, and sprint testing to assess athletic performance. Split times between 5 and
20m improved significantly across all resisted groups (all P<.05, d=0.34-1.16) but
did not improve significantly with unresisted sprinting. For all resisted groups, gains
were greatest over the first 5m (d=0.67-0.84) and then diminished over each sub-
sequent 5m split (d=0.08-0.57). The magnitude of gains in split times was greatest
within the heavy group. Small but non-significant within-group effects were found in
pre to post force-velocity profiles. There was a main effect of time but no interaction
effects as all groups increased force and power, although the greatest increases were
observed with the heavy load (d=0.50-0.51). The results of this study suggest that
resisted sled pushing with any load was superior to unresisted sprint training and that
heavy loads may elicit the greatest gains in sprint performance over short distances.
KEYWORDS
acceleration, horizontal resistance training, resisted sprinting
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CAHILL et AL.
received much research attention, with the latter much less
researched.10
Anecdotally, sled pushing is a common training method
utilized by coaches in team sport settings such as rugby
and football. While research using the method is relatively
uncommon, sled pushing has been examined in relation to
post-activation potentiation and blood lactate response in
adults in which relatively heavy loading parameters were
used.11,12 A recent study by Cahill et al13 examined the reli-
ability and variability within sled pushing concluding that
loads can be reliably prescribed to young athletes, with the
caveat that the loading response is highly individualized.
However, there is a paucity of longitudinal research exam-
ining the effectiveness of sled pushing in improving sprint
performance. Although sled pushing is viewed as a similar
method to sled pulling, many differences exist (eg, size,
shape, friction, and anterior positional orientation of the
sled) which likely result in unique kinematic and kinetic
changes.10 Only one study exists on resisted sled pushing
in young athletes and although it found the prescription of
load reliable for post-peak height velocity (PHV) athletes;
a greater degree of between-participant variability in load
was found in sled pushing in comparison with sled pulling
when reported as the percentage of body mass (%BM) re-
quired to cause a given decrement in velocity.6 The most
notable difference between push and pull conditions is the
use of the arms to directly apply force onto the sled device
and overcome momentum during the initial first step of the
sprint is unique to sled pushing. Therefore, sled pushing
should be viewed as a unique and specialized form of hori-
zontal resistance training.13
Given the horizonal nature of resisted sled pushing,
the same limitations exist as observed in sled pulling with
regard to prescription of load as a set %BM in adult and
youth populations.6,13-15 The high degree of variability
of sled load tolerance in young athletes could be due to a
combination of maturation, training history, and strength.13
An alternative method of sled loading is to prescribe load
based on the decrement in maximal sprint velocity (Vdec)
with increases in load.14 This method uses the known lin-
ear relationships between force and velocity and load and
velocity, which have been shown to exist for sled pulling6,16
and more recently, sled pushing.13 Cahill et al13 suggested
light, moderate, and heavy loading parameters at sled push-
ing loads corresponding to 25%, 50%, and 75% Vdec to
represent speed-strength, power, and strength-speed zones,
respectively, but further research is needed to confirm the
effectiveness of training within these zones. Categorizing
sled pushing as a horizontal strength training exercise
might suggest that training would be most effective at
heavier loads, particularly with young athletes where there
is a large potential to develop force production.17 Resisted
sled-push training at different loads may have differential
transference effects to the force-velocity and velocity-dis-
tance relationships during unresisted sprinting.
There is currently a paucity of research that has directly
compared responses to sled-push training at a range of loads
from across the force-velocity spectrum, and no research with
young athletes. Therefore, the aim of the present study was to
assess the effectiveness of unresisted and resisted sled-push
training at light, moderate, and heavy loads in high school
athletes. The authors hypothesize that training at heavier
loads in young athletes will lead to greater gains in horizon-
tal force production and velocity over the initial period of a
sprint.
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METHODS
2.1
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Participants
Fifty male high school athletes (16.6±0.8years; height,
1.75 ± 7.1 cm; weight, 74.3 ± 11.5 kg; and Vmax;
8.31± 0.58 m/s PHV; 2.3 ± 0.8 years) from two sports
(rugby and lacrosse) were recruited to participate in this
study during the off-season. All participants biological ma-
turity was established as post-PHV using a non-invasive
method of calculating the age at PHV.18 All participants
had a minimum of one-year resistance training experience,
although athletes were familiar with resisted sprinting,
they had never performed a cumulative structured block of
resisted sprint training. All participants were healthy and
injury-free at the time of testing. Any athletes who were
rehabilitating a previous lower body injury within the last
6months were excluded from the study. Written consent
was obtained from a parent/guardian and assent from each
subject before participation. Experimental procedures were
approved by West Chester University Institutional Ethics
Committee.
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Test protocols
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Load-velocity profiling and
prescription
All participants were familiarized with the equipment
and testing procedures 1week prior to data collection by
performing two maximal effort repetitions at loads cor-
responding to light, moderate, and heavy. Load-velocity
profiling and prescription of loads was conducted using
unresisted and resisted trials as described by Cahill et al.13
A radar device (Model; Stalker ATS II, Applied Concepts,
Dallas, TX, USA) was positioned 10 m directly behind
the starting position to determine the maximum velocity
(Vmax) of both unresisted and resisted trials. The range of
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selected loads at increments of 20% was based on pilot test-
ing that reduced an athletes velocity by values above and
below 50% of unresisted Vmax.
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Pre- and post-intervention testing
Jump testing
Jump testing consisted of both horizontal and vertical jump
measures. Both protocols have been shown to be reliable in
assessing jump performance in youth populations.19,20 During
the standing long jump, participants were asked to stand on
the start line and jump horizontally as far as possible and
then to hold their landing position. A tape measure was then
used to measure jump distance from the start line to the rear-
most heel of the foot upon landing. The countermovement
jump used a self-selected depth in which participants were
instructed to jump vertically as high as possible and to keep
their legs extended while in the air. Jump height was calcu-
lated from flight time using an optical measurement system
(Optojump, Microgate, Italy). The best of two attempts was
recorded for both jump tests.
Strength testing
Lower limb strength was measured using a linear position
transducer (Gym aware, Kinetic, Australia) to estimate the
one maximum-repetition (1RM) of a deadlift exercise utiliz-
ing a velocity-based protocol provided by the manufacturer.
This device has been shown to be valid and reliable method
of determining a 1RM across commonly practiced resistance
training exercises.21 Participants performed a minimum of
three, one-repetition lifts at maximum speed at incremen-
tal loads of 20% BM until their speed dropped to less than
0.5meters per second (m/s). All athletes rested between 4
and 6minutes between repetitions. Pilot testing was used to
determine a starting baseline weight of each participant.
Sprint testing
Acceleration sprint testing was assessed using a radar gun,
with the set up as per the load-velocity testing except that it
took place indoors in a controlled environment over 22m.
Each participant performed two trials with the fasted time
recorded. The same software provided by the radar device
manufacturer used during load-velocity testing was used
to collect raw velocity data during each sprint, which was
subsequently fitted with an exponential function with its
maximal velocity (Vmax) extracted. Instantaneous velocity
was derived to calculate net horizontal force and maximum
power (Pmax). Each linear force-velocity relationship was
then extrapolated to calculate theoretical maximum horizon-
tal force (F0). This method has been shown to be a reliable
field method to assess force-velocity profiles during over-
ground sprinting.22 Sprint force-velocity profiles were then
TABLE 1 Sets, reps and weekly total distances for unresisted, speed-strength, power or strength-speed groups
Week
Unresisted Light Moderate Heavy
Rest per
rep (min)Reps p/w
Distance
per rep (m)
Total
distance
p/w Reps p/w
Distance
per rep (m)
Total
distance
p/w Reps p/w
Distance
per rep (m)
Total
distance
p/w Reps p/w
Distance
per rep (m)
Total
distance
p/w
1 6 30 360 6 22.5 270 6 15 180 6 7.5 90 3
2 7 30 420 7 22.5 315 7 15 210 7 7.5 105 3
3 8 30 640 8 22.5 360 8 15 240 8 7.5 120 3
4 6 30 360 6 22.5 270 6 15 180 6 7.5 90 3
5 7 30 420 7 22.5 315 7 15 210 7 7.5 105 3
6 8 30 480 8 22.5 360 8 15 240 8 7.5 120 3
7 9 30 540 9 22.5 405 9 15 270 9 7.5 135 3
8 7 30 420 7 22.5 315 7 15 210 7 7.5 105 3
Abbreviations: p/w, per week; m, meters; min, minute.
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TABLE 2 Means±SD for all measured variables pre- to post-intervention in young athletes completing 8weeks of either unresisted, light, moderate or heavy resisted sprint training
Unresisted
ES
Light
ES
Moderate
ES
Heavy
ESPre Post Pre Post Pre Post Pre Post
VJ (cm) 41.8±6.8 41.8±5.0 0.00 41.4±5.5 43.0±6.3 0.30 43.5±6.55 42.4±5.8 0.17 42.9±5.7 44.2±6.0 0.21
SLJ (cm)a213±24 215±22 0.10 212±25 222±23 0.10 221±24 225±22 0.08 222±19 228±17 0.34
Hex Bar DL (kg) 134±26 137±25 0.11 151±22 155±29 0.10 149±36 152±31 0.08 141±24 143±24 0.07
0-5m (s)a1.62±0.13 1.57±0.10 0.40 1.66±0.09 1.60±0.13* 0.67 1.58±0.08 1.52±0.10* 0.74 1.58±0.07 1.52±0.07* 0.84
0-10m (s)a2.41±0.16 2.37±0.14 0.28 2.47±0.12 2.39±0.15* 0.60 2.38±0.15 2.31±0.13* 0.47 2.39±0.09 2.30±0.08** 1.05
0-15m (s)a3.11±0.19 3.08±0.17 0.18 3.20±0.17 3.11±0.19** 0.54 3.09±0.20 3.01±0.16* 0.42 3.09±0.09 2.99±0.09** 1.16
0-20m (s)a3.77±0.21 3.75±0.21 0.09 3.88±0.21 3.79±0.23* 0.47 3.76±0.23 3.68±0.19* 0.34 3.76±0.10 3.65±0.09** 1.03
5-10m (s) 0.80±0.05 0.80±0.05 0.13 0.81±0.04 0.80±0.05 0.38 0.81±0.07 0.80±0.05 0.15 0.82±0.05 0.79±0.03* 0.57
10-15m (s) 0.70±0.04 0.71±0.03 0.32 0.73±0.05 0.71±0.04 0.34 0.71±0.06 0.70±0.04 0.24 0.70±0.03 0.69±0.02 0.32
15-20m (s) 0.66±0.03 0.68±0.04 0.43 0.68±0.05 0.68±0.04 0.08 0.67±0.04 0.67±0.03 0.06 0.67±0.04 0.66±0.02 0.24
F0 (N/kg)a5.9±1.3 6.2±1.1 0.26 5.4±1.0 5.8±1.7 0.37 5.9±0.8 6.2±0.8 0.39 5.7±1.0 6.3±0.9 0.50
Vmax (m/s)a8.50±0.58 8.24±0.57 0.46 8.10±0.91 8.14±0.70 0.04 8.35±0.76 8.16±0.47 0.25 8.31±0.61 8.24±0.40 0.11
Pmax (w/kg)a12.9±2.7 13.2±2.5 0.12 11.5±2.9 12.3±4.0 0.27 12.6±2.0 13.1±1.8 0.19 12.2±2.0 13.3±1.8 0.51
Abbreviations: CT, contact time; F, maximal theoretical force; FT, flight time; Pmax, maximal theoretical power; SLJ, standing long jump; VJ, vertical jump; Vmax, maximal theoretical velocity.
aSignificant main effect of time (P<.05).
*Significant within-group difference pre- to post-intervention (P<.05).
**Significant within-group difference pre- to post-intervention (P<.01).
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CAHILL et AL.
constructed using custom-made LabVIEW software. All pre-
and post-intervention tests were preceded by a minimum of
72hours to ensure athletes were not fatigued prior to testing.
Pre-testing was also preceded by a familiarization period of
2 weeks low-intensity resistance training and familiariza-
tion of sled pushing. Post-training was preceded by a 1-week
taper to ensure no overreaching occurred.
2.2.3
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Training intervention
Participants were initially matched by speed and randomly
allocated between four training groups: one unresisted and
three resisted groups. A compliance threshold of 85% (14/16
training sessions) was set to be included in the study, leading
to slightly uneven group sizes; unresisted n=12, light=15,
moderate n=14, and heavy n=12, with loads correspond-
ing to a Vdec of 0%, 25%, 50%, and 75% of Vmax, respec-
tively. The training intervention consisted of two resisted
sprint sessions immediately followed by a strength session
in the weight room plus two sport practice sessions on sepa-
rate days per week. All athletes were asked to abstain from
high-intensity activity for the 24 hours prior to each sled-
push training session. Both resisted sprint and strength train-
ing protocols followed a linear periodization model, which
involved a standard 3:1 mesocycle arrangement (ie, 3weeks
of increasing intensity followed by 1week of reduced work-
load) being completed for two consecutive 4-week meso-
cycles. Sport practice training load could not be controlled
due to differentiating demands between lacrosse and rugby.
However, sprint-specific training and strength training load
was controlled across all participants. All groups preformed
identical strength training programs consisting of compound
multi-joint exercises for repetitions ranging between 5 and
10. Specific sets and repetitions for resisted sprinting are pro-
vided in Table 1.
The sled load and sprint distance remained constant for
each subject throughout the training intervention. Total work
was equated for all resisted groups to that of the unresisted
control group by reducing the distance per rep by the same
percentage Vdec caused by sled loading. This resulted in
sprint distances of 22.5, 15, and 7.5m for the training groups
loaded to cause a Vdec of 25%, 50%, and 75%, and meant that
sprint efforts lasted approximately the same duration across
participants in all training groups. All participants had 3min-
utes rest between maximal sprint efforts.
Prior to each training session, all participants performed a
standardized 10-minute dynamic warm-up, inclusive of sub-
maximal repetitions of sprinting and dynamic mobilization
and activation exercises targeting the main muscle groups
of the upper and lower extremities. Upon completion of the
warm-up, all athletes performed sprint training specific to
their training group.
2.3
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Statistical analysis
Descriptive statistics (mean±SD) and effect size statistics
are reported for all dependent variables of jump and sprint-
ing performance. Levene's test was used to ensure the data
met the criteria for normality and homogeneity of variance.
A 4 × 2 (group × time) repeated-measured ANOVA with
Bonferroni post hoc comparisons was used to determine
the within- and between-group effects for each dependent
variable as well as examining interaction effects. An alpha
level of P<.05 was used to indicate statistical significance.
Effect sizes (Cohen's d) were used to quantify the magnitude
of the performance change in each group, with values of
0.00<0.20, 0.20<0.60, 0.60<1.20, and ≥1.20 represent-
ing the qualitative thresholds for trivial, small, moderate, and
large effects, respectively.23
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RESULTS
Means±SD and magnitude of within-group changes for all
variables, in all conditions pre- and post-intervention, are
shown in Table 2. For all variables, there were no signifi-
cant differences between groups at baseline (P>.05). Table
2 shows that there were main effects of time for 0-5, 0-10,
0-15, and 0-20m splits (P<.05), all force-velocity variables
(P<.05), and the standing long jump (P<.05). There are
clear trends for different responses across the groups when
assessing the within-group changes. In terms of the jumps
and lower body strength, there were no significant changes
observed with effect sizes ranging between trivial to small
(d=0.00-0.34).
All resisted interventions demonstrated significant with-
in-group improvements for 0-5, 0-10, 0-15, and 0-20m sprint
times (P < .05). Across 5, 10, 15, and 20 m sprint times,
there is a clear trend of an increasing effect as load increases;
unresisted sprinting resulted in trivial to small improvements
(d= 0.09-0.40), light (d = 0.47-0.67), and moderate load-
ing elicited small to moderate improvements (d=0.34-0.74)
and heavy loading led to moderate improvements (d=0.84-
1.16). The heavy group was the only group to significantly
improve 5-10m. No significant improvement occurred in any
group from 10 to 15m or 15 to 20m. For all resisted groups,
improvements in split times beyond the initial 5m accelera-
tion phase diminished (see Table 2).
With regards to force-velocity profiling across four in-
tervention groups, Vmax, F0 and Pmax all showed main
effects between pre- and post-test. There were small but
non-significant within-group differences, approaching
significance for the heavy group for both F0 and Pmax
(P < .07). Within-group comparisons demonstrated triv-
ial to small effect size changes (d= 0.12-0.51) with the
heavy group resulting in the greatest magnitude of change.
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CAHILL et AL.
An illustration of the change in velocity over distance and
force-velocity profile from pre- and post-training in each
group can be observed in Figure 1.
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DISCUSSION
The aim of the study was to assess the effectiveness of un-
resisted and resisted sled-push training at multiple loads re-
flective of speed-strength, power, and strength-speed zones
of training. The main findings of the present study were
that resisted sprinting was more effective than unresisted
sprinting in improving short-distance sprint performance,
and that heavy loads seem to provide the greater benefits
of increasing acceleration, force, and power. It seems that
young athletes respond to resisted sled pushing across a
range of loads. However, resisted sled pushing at heavier
loads in a strength-speed training zone may elicit enhanced
acceleration performance in comparison with lighter or un-
resisted loads.
Sled-push training being categorized as a sprint-spe-
cific horizontal strength training exercise provided minimal
transfer to both vertical and horizontal jump performance
and lower body strength. The non-significant and trivial to
small magnitude of change within groups supports previous
research that training is movement specific.24 A small ef-
fect size change was observed in the heavy group during the
standing long jump and the light group during the vertical
jump. Due to the reduced sprint distances as load increased
within each intervention group, the lightest resisted group
and heaviest resisted would have spent more time applying
force vertically and horizontally, respectively.25
The availability of research on resisted sled push-train-
ing in comparison with resisted sled pull training reinforces
the need for more intervention studies to determine the ef-
fectiveness of sled pushing as a sprint-specific method of
training. However, given the lack of empirical evidence
in sled pushing, similarities do exist with sled pulling in
favoring heavier loading over lighter loading to enhance
targeted areas of sprint performance, particularly during
the initial acceleration phase of young athletes.26 It is im-
portant to note; however, the loads previously studied and
categorized as “heavy” (20%BM) within a youth popula-
tion would still be considered light in comparison with the
loads used in this study.26 All resisted sprint groups had
small to moderate significant within-group improvements
in sprint times. The magnitude of effect was greatest over
the initial 5 m and increased with greater loading. This
indicates that resisted sprinting affected the first step and
initial acceleration phase, particularly in the heavy group.
Decreases in split times beyond the initial 5m were pri-
marily a result of the improvement within the acceleration
phase. However, the heavy group was the only group to
significantly improve between the 5 and 10m split, sug-
gesting sled pushing at heavy loads may have additional
benefits outside the initial acceleration phase, providing
the necessary force dominant stimulus to elicit the desired
training response in young athletes. However, more re-
search is needed examining the acute kinetics and kinemat-
ics of sled pushing to quantify the mechanical determinants
of these changes.
There were significant main effects of time on the
force-velocity profiles but no significant changes at a group
level. However, small changes that approached significance
(P<.07) in F0 and Pmax were observed in the heavy group
(d=0.50-0.51) and illustrate that the adaptations occurring
from resisted loads are specific to the imposed demands,
with heavier loads appearing to favor horizontal force pro-
duction during the early acceleration phase (0-10m). The
fact Vmax decreased for most groups also supports the
notion of training specificity, with most groups working
against resistance and below maximal speed. The lack of
any improvement in Vmax in the unresisted group may re-
flect the fact that sprinting is a habitual activity in young
athletes and that the training program did not provide a
stimulus to elicit performance improvements. The findings
may also be specific to the population studied. Previous
meta-analyses have shown that with traditional resistance
training young athletes respond most to work at higher
intensities and that post-pubertal athletes make greater
strength gains than pre-pubertal populations following re-
sistance training.27,28 If sled pushing is considered a spe-
cialized form of horizontal resistance training, then heavy
loads, representing a high-intensity of work, may be par-
ticularly useful for young athletes who are post-PHV to in-
crease their sprint force, power, and velocity.
5
|
PERSPECTIVE
The aim of the present study was to assess the effective-
ness of unresisted and resisted sled-push training at light,
moderate, and heavy loads in high school athletes. All
resisted groups made significant, positive improvements,
suggesting a range of loads can be effective in improv-
ing the sprint performance of young athletes. However,
there was a clear trend for greater and more consistent
improvements in sprinting force, power, and performance
over short distances when training with heavier sled loads.
Cumulatively, the results of this study show that post-PHV
males within limited training exposure to resisted sprint-
ing may reap the greatest gains in acceleration performance
with a heavier external resistance which is representative
of a strength-speed training zone. Given the constant desire
to individualize training, future research should examine
whether greater gains in performance can be achieved if
|
7
CAHILL et AL.
FIGURE 1 Pre- to post-changes in velocity-distance and force-velocity profiles after an 8-week sled-push training intervention at unresisted,
light, moderate, and heavy load
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8
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CAHILL et AL.
resisted push-load is prescribed based on individual weak-
nesses in the force-velocity profile.
ORCID
Micheál J. Cahill https://orcid.
org/0000-0001-8010-2901
Jon L. Oliver https://orcid.org/0000-0001-7425-3148
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How to cite this article: Cahill MJ, Oliver JL, Cronin
JB, Clark KP, Cross MR, Lloyd RS. Influence of
resisted sled-push training on the sprint force-velocity
profile of male high school athletes. Scand J Med Sci
Sports. 2019;00:1–8. https ://doi.org/10.1111/
sms.13600
... In fact, sled-RST protocols are typically performed over longer sprinting distances (>20 m) and utilize low resistances, not exceeding 20% circa of an athlete's body mass [9][10][11]. This approach has been shown to reduce sprint times over distances of 20 and 30 m [12][13][14], enhance maximum sprint speed, and improve vertical jump performance [15][16][17]. ...
... This could allow for greater sprint power, seemingly resulting in a reduction in the time taken to perform the 30 m sprint. On the other hand, heavy loads (up to 115% of BM) could positively influence the pushing capacity to generate horizontal force through the effective application of force to the ground, as demonstrated by previous investigations [11,13,15]. Windwood et al. demonstrated the acute effects of strengthening using a sled with 75% body mass, which resulted in a significantly faster 15 m sprint at 12 min after the pull. ...
... Zisi M. et al. proved that heavy sled towing was an effective post-activation enhancement stimulus to improve sprint acceleration performance without impairing running technique. Results obtained by Cahill MJ. et al. [15] indicated that, in young athletes, heavier loads on the sled led to greater gains in short-distance sprint performance, especially in acceleration, than lighter loads. Also, the combined use of light and heavy loads has been already proven to be effective in different scenarios where athletes have improved their maximum dynamic and isometric resistance in rapid force development and power adaptations [16]. ...
Article
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Background/Objectives: The aim of this study was to investigate the effects of a six-week integrated resisted sprint training (IRST) program on sprint performance and vertical jump height in a sample of U-14 male football players. This study also explored the potential benefits of incorporating variable resistive loads during pre-peak height velocity (pre-PHV) developmental stages, a period often overlooked in the training of young athletes. The IRST program alternated between heavy and light resistive sled loads to enhance sprint and jump capabilities, which are critical components of athletic performance in football. Methods: Nineteen healthy male football players (age: 13 ± 0.63 years) were divided into an experimental group (E, n = 10) and a control group (C, n = 9). The experimental group followed the IRST protocol, involving sled sprints with varying resistive loads (10–115% of the body mass) over specific distances, while the control group engaged in traditional unresisted sprint training. The sprint performance was assessed using 30 m sprint times, and the vertical jump height was measured using countermovement jump (CMJ) data collected via a force platform. Anthropometric measures and peak height velocity (aPHV) estimates were also recorded pre- and post-intervention. Results: The experimental group demonstrated significant improvements in 30 m sprint times (mean difference: −0.29 s; p < 0.01). Additionally, CMJ data revealed a positive trend in the take-off velocity and maximum concentric power, with an increase in jump height (mean difference: +0.44 cm). These results suggest enhanced sprint and explosive power capabilities following the IRST intervention. Conclusions: The findings suggest that the IRST program is an effective training method for enhancing sprint performance and maintaining jump capabilities in young football players. This approach highlights the importance of integrating variable resistance training in pre-PHV athletes to promote athletic development while ensuring safety and effectiveness.
... Collectively, these results suggest that although the magnitude of relative F0 production remained stable over time, the ratio of horizontal to vertical ground reaction force during initial acceleration of the sprint improved. Based on the developmental stability of relative F0 over time, it is recommended that practitioners should focus on improving relative force producing capacities of the lower limbs through both traditional resistance training and resisted sled pulling and pushing that may allow for synergistic adaptations to relative F0 and RFmax (2,3,25,33). ...
... Furthermore, similar to the whole group analysis, a significant increase in body mass was observed in both maturation groups, requiring athletes to produce greater horizontal force to overcome inertia and accelerate center of mass, which may have resulted in the unclear change in relative F0. Therefore, the focus for practitioners aiming to improve sprint performance should be to increase relative strength of the lower limbs for both circa-PHV and post-PHV athletes (2,3,25,33). ...
... This lack of change in relative force production is likely because of the significant increases in body mass in both the circa-PHV and post-PHV groups, which requires greater force production to overcome inertia and accelerate an athlete's center of mass. Therefore, it is recommended that practitioners seeking to enhance sprint development in junior AF players use modalities that improve the magnitude of relative horizontal force production of the lower limb such as traditional resistance training exercises and resisted sled pulling and pushing (2,3,25,33) in unison with primary sprint training including technical drills for acceleration and maximum velocity sprinting. These training modalities not only improve the ability to apply relative force at low velocities, which is required to overcome inertia and accelerate the center of mass, but also provide a foundation for improving relative Pmax during sprint acceleration (2,3). ...
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Edwards, T, Weakley, J, Banyard, HG, Cripps, A, Piggott, B, Haff, GG, and Joyce, C. Longitudinal development of sprint performance and force-velocity-power characteristics: influence of biological maturation. J Strength Cond Res XX(X): 000-000, 2023-This study was designed to investigate the influence of biological maturation on the longitudinal development of sprint performance. Thirty-two subjects performed 2 assessments of maximal sprint performance that were separated by 18 months. Each sprint assessment was measured through a radar gun that collected instantaneous velocity with the velocity-time data used to derive sprint times and force-velocity-power characteristics. The biological maturity of each subject was assessed using a predictive equation, and subjects were grouped according to predicted years from peak height velocity (circa-PHV: -1.0 to 1.0; post-PHV: >1.0). A 2 × 2 mixed model analysis of variance was used to assess group × time interactions, and paired t-tests were used to assess the longitudinal changes for each maturity group. No significant group × time interactions were observed for any sprint time or force-velocity-power characteristic. The circa-PHV group experienced significant within-group changes in maximal theoretical velocity (6.35 vs. 5.47%; effect size [ES] = 1.26 vs. 0.52) and 5-m sprint time (-3.63% vs. -2.94%; ES = -0.64 vs. -0.52) compared with the post-PHV group. There was no significant change in the magnitude of relative theoretical maximum force in either group; however, both the circa-PHV and post-PHV groups significantly improved the orientation of force production at the start of the sprint (RFmax [4.91 vs. 4.46%; ES = 0.79 vs. 0.74, respectively]). Considering these findings, it is recommended that practitioners adopt training methods aimed to improve relative lower-limb force production, such as traditional strength training and sled pulling and pushing, to improve sprint performance and relative theoretical maximum force.
... Although the mathematically derived force velocity profile has been used for running sprint testing in field sport athletes (4,17,22), it has not been extensively explored in elite sprint speed skaters. This may be attributed to the unique mechanical Table 3 Mean 6 SD, mean bias 6SD with 95% limits of agreement (LoA), and single measure interclass correlation coefficients for measured vs. aspects of skating as compared with running, including the reduced friction and a glide phase push-off, which predominantly occurs in the frontal plane. ...
... Consequently, a velocity-based model of acceleration performance in skating athletes using the methods described in this study may be a reasonable substitute for the force-velocity profile method used in overground running and provide more relevant information for coaches and practitioners wanting to individualize and monitor the training response. The protocol described in this study was also practical for a high performance sport environment and had the advantage that additional participant characteristics required for the running based force velocity profile method (e.g., subject height and body mass) were not required in the model computation (4,17,22). Predictive validity, the final component of criterion validity, denotes the extent to which the outcomes of a test correlate with competition performance (7). In the long track sprint distances, skaters attempt to skate each segment of the race in the shortest time possible (i.e., the 500-m sprint event is typically not paced) (11). ...
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Zukowski, MH, Jordan, MJ, and Herzog, W. Modeling the early and late cceleration phases of the sprint start in elite long track speed skaters. J Strength Cond Res XX(X): 000–000, 2023—This study established the reliability of an exponential function to model the change in velocity during the speed skating sprint start and the validity of associated model parameters in a group of subelite and elite long track speed skaters. Long track speed skaters ( n = 38) performed maximal effort 50-m on-ice accelerations from a standing start while tethered to a horizontal robotic resistance device that sampled position and time data continuously. An exponential function was applied to the raw data to model the change in velocity throughout the acceleration phase and compute the maximal skating speed (MSS), maximal acceleration capacity (MAC), maximum relative net horizontal power ( P Max ), and an acceleration-time constant ( τ ). All constructed models provided a sufficient fit of the raw data ( R -squared > 0.95, mean bias <2%). Intraday reliability of all model parameters ranged from good to excellent (intraclass correlation coefficient >0.8 and coefficient of variation <5%). Strong negative correlations ( r : −0.72 to −0.96) were observed between MSS and P Max and the 10 and 20 m split times measured with the robotic resistance and with 100 split times obtained from 500 m races. Moderate-to-large between-group differences were observed in MSS, MAC, and P Max between the elite vs. subelite speed skaters (Cohen d effect sizes: 1.18–3.53). Our results indicate that monoexponential modeling is a valid and reliable method of monitoring initial acceleration performance in elite level long track speed skaters.
... sled pulling and pushing) loading parameters that target particular horizontal force, velocity and power adaptations Cahill et al., 2020a;Carlos-Vivas et al., 2019;Cross, Brughelli, Samozino, Brown, et al., 2017;Cross et al., 2018;Macadam et al., 2017Macadam et al., , 2018. Furthermore, as an important next step, a large amount of research has investigated the efficacy of different resistance training interventions (sprintspecific, non sprint-specific and combined) on improving maximal horizontal sprint acceleration and the underlying kinetic and kinematic determinants (Alcaraz et al., 2014;Cahill et al., 2020b;Carlos-Vivas et al., 2020;Cross et al., 2018;Lahti, Huuhka, et al., 2020;Lahti, Jiménez-Reyes, et al., 2020;Mendiguchia et al., 2015Mendiguchia et al., , 2020Morin et al., 2017Morin et al., , 2020Rakovic et al., 2018). Finally, advanced sprint acceleration diagnostics have also been used in team sport settings to monitor seasonal changes in sprint acceleration force-velocity profile , identify the influence of neuromuscular fatigue on sprint acceleration performance (Edouard et al., 2018;Jiménez-Reyes, Cross, et al., 2019;Marrier et al., 2017;Nagahara et al., 2016) and to assess a player's return-to-sport following injury (Mendiguchia et al., 2014(Mendiguchia et al., , 2016. ...
Thesis
Full-text available
Horizontal accelerations and decelerations are crucial components underpinning the many fast changes of speed and direction that are performed in team sports competitive match play. Extensive research has been conducted into the assessment of horizontal acceleration and the underpinning neuromuscular performance determinants, leading to evidence-informed guidelines on how to best develop specific components of a team sport players horizontal acceleration capabilities. Unlike horizontal acceleration, little scientific research has been conducted into how to assess horizontal deceleration, meaning the neuromuscular performance determinants underpinning horizontal deceleration are largely based on anecdotal opinion or qualitative observations. Therefore, the overall purpose of this thesis was to investigate the neuromuscular determinants of maximal horizontal deceleration ability in team sport players. Furthermore, since there are no recognised procedures on how to assess maximal horizontal deceleration ability, an important and novel aim of this thesis was to develop a test capable of obtaining reliable and sensitive data on a team sport player’s maximal horizontal deceleration ability. In part one of this thesis (chapter three) a systematic review and meta-analysis identified that high-intensity (< -2.5 m.s-2) decelerations were more frequently performed than equivalently intense accelerations (> 2.5 m.s-2) in most elite team sports competitive match play, signifying the importance of developing maximal horizontal deceleration ability in team sport players. In chapter four, a new test of maximal horizontal deceleration ability (named the acceleration-deceleration ability test – ADA test), measured using radar technology, identified a number of kinematic and kinetic variables that had good intra- and inter-day reliability and were sensitive to detecting small-to-moderate changes in maximal horizontal deceleration ability. The ADA test was used in chapters five to seven to examine associations with isokinetic eccentric and concentric knee strength capacities and countermovement and drop jump kinetic and kinematic variables, respectively. Using the neuromuscular and biomechanical determinants identified to be important for horizontal deceleration ability within this thesis, in addition to other contemporary research findings, the final part of this thesis developed an evidence-based framework that could be used by practitioners to help inform decisions on training solutions for improving horizontal deceleration ability – named the dynamic braking performance framework.
... La investigación realizada por Cahill et al., (2020), quienes después de 7 semanas de entrenamiento de sprint con arrastre de trineo, utilizaron diferentes cargas con el 5 % del peso corporal (carga baja), 12.5 % del peso corporal (carga media) y el 20 % del peso corporal (carga alta). Se obtuvo como resultado que solo en el grupo que movilizaba carga alta mejoraba los tiempos de sprint en la distancia de 20 m., 30 m. y 40 m. ...
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Background Sprinting is important for both individual and team sports, and enhancing performance is often done through resisted, assisted, or combined sprint training. However, the effectiveness of these methods compared to traditional sprint training remains inconclusive. The objective of this review with meta-analysis was to review the current literature on intervention studies analyzing the effects of resisted, assisted, and combined (resisted–assisted) training on sprint kinematics and performance in terms of acceleration and maximum velocity. Methods A literature search was conducted using SPORTDiscus up to and including April 19, 2023. The following eligibility criteria were applied: (1) a longitudinal study over a minimum of four weeks; (2) studies using resistance (sleds, parachutes, uphill slope, towing devices) or assistance (towing devices, downhill slope), or a combination of both; (3) a main intervention focused on resisted or assisted training, or a combination of both; (4) measurement of maximum velocity, acceleration measured in (s) with a minimum distance of 10-m, or kinematic changes such as step frequency, ground contact time, flight time, and step length; and (5) peer-reviewed studies. Results Twenty-one studies were included in this review with meta-analysis. Kinematic changes, changes in acceleration, and changes in maximum velocity were analyzed. Only resisted sprint training was associated with a significant improvement in 10-m acceleration compared to normal (i.e. without assistance or resistance) sprinting (Z = 2.01, P = 0.04). With resisted, assisted and combined sprint training no significant changes in kinematics, 20-m times or maximum velocity were found when compared to normal sprint training. However, in the within group, effect sizes resisted sprint training had a moderate effect on 10-m times. A moderate effect on ground contact time, step frequency, 10-and 20-meter time after assisted sprint training was found, while combined sprint training had a moderate effect on maximum velocity. Conclusion Resisted sprint training seems to be effective for improving acceleration ability, with significant decreases in the 10-m times. There were no other significant findings, suggesting that normal sprinting yields the same change in 20-m times, kinematics and maximum velocity as resisted, assisted and combined sprint training. However, moderate effect sizes using these different training methods were found, which may suggest that the different training forms could be useful for improving different parts of the sprint and changing the kinematics. Combination (uphill–downhill) sprint training seems to be effective at improving maximum velocity, while assisted sprint training was the most effective training to increase step frequency, which can affect sprint performance positively. However, more studies, especially in assisted sprints, need to be conducted to determine the full effect of these training forms.
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Cahill, M, Oliver, JL, Cronin, JB, Clark, K, Cross, MR, and Lloyd, RS. Sled-push load-velocity profiling and implications for sprint training prescription in young athletes. J Strength Cond Res XX(X): 000-000, 2019-Resisted sled pushing is a popular method of sprint-specific training; however, little evidence exists to support the prescription of resistive loads in young athletes. The purpose of this study was to determine the reliability and linearity of the force-velocity relationship during sled pushing, as well as the amount of between-athlete variation in the load required to cause a decrement in maximal velocity (Vdec) of 25, 50, and 75%. Ninety (n 5 90) high school, male athletes (age 16.9 6 0.9 years) were recruited for the study. All subjects performed 1 unresisted and 3 sled-push sprints with increasing resistance. Maximal velocity was measured with a radar gun during each sprint and the load-velocity (LV) relationship established for each subject. A subset of 16 subjects examined the reliability of sled pushing on 3 separate occasions. For all individual subjects, the LV relationship was highly linear (r. 0.96). The slope of the LV relationship was found to be reliable (CV AU5 5 3.1%), with the loads that cause a decrement in velocity of 25, 50, and 75% also found to be reliable (CVs 5 ,5%). However, there was large between-subject variation (95% confidence interval) in the load that caused a given Vdec, with loads of 23-42% body mass (%BM) causing a Vdec of 25%, 45-85 %BM causing a Vdec of 50%, and 69-131 %BM causing a Vdec of 75%. The Vdec method can be reliably used to prescribe sled-push loads in young athletes, but practitioners should be aware that the load required to cause a given Vdec is highly individualized.
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Resisted sprinting in the form of both sled pushing and pulling is a popular training method to improve speed capability, although research has been biased towards investigating the effects of sled pulling. Practitioners need to understand whether the sled push and pull offer differential training effects, and hence their utility in influencing sprint kinematics and kinetics for targeted adaptation. Furthermore, there are a number of recent developments in loading and assessment that warrant discussion, given the impact of these techniques on understanding the load-velocity relationship and optimizing horizontal power output. Finally, some thoughts regarding load prescription are shared with the reader.
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Background Sprinting is key in the development and final results of competitions in a range of sport disciplines, both individual (e.g., athletics) and team sports. Resisted sled training (RST) might provide an effective training method to improve sprinting, in both the acceleration and the maximum-velocity phases. However, substantial discrepancies exist in the literature regarding the influence of training status and sled load prescription in relation to the specific components of sprint performance to be developed and the phase of sprint. Objectives Our objectives were to review the state of the current literature on intervention studies that have analyzed the effects of RST on sprint performance in both the acceleration and the maximum-velocity phases in healthy athletes and to establish which RST load characteristics produce the largest improvements in sprint performance. Methods We performed a literature search in PubMed, SPORTDiscus, and Web of Science up to and including 9 January 2018. Peer-reviewed studies were included if they met all the following eligibility criteria: (1) published in a scientific journal; (2) original experimental and longitudinal study; (3) participants were at least recreationally active and towed or pulled the sled while running at maximum intensity; (4) RST was one of the main training methods used; (5) studies identified the load of the sled, distance covered, and sprint time and/or sprint velocity for both baseline and post-training results; (6) sprint performance was measured using timing gates, radar gun, or stopwatch; (7) published in the English language; and (8) had a quality assessment score > 6 points. Results A total of 2376 articles were found. After filtering procedures, only 13 studies were included in this meta-analysis. In the included studies, 32 RST groups and 15 control groups were analyzed for sprint time in the different phases and full sprint. Significant improvements were found between baseline and post-training in sprint performance in the acceleration phase (effect size [ES] 0.61; p = 0.0001; standardized mean difference [SMD] 0.57; 95% confidence interval [CI] − 0.85 to − 0.28) and full sprint (ES 0.36; p = 0.009; SMD 0.38; 95% CI − 0.67 to − 0.10). However, non-significant improvements were observed between pre- and post-test in sprint time in the maximum-velocity phase (ES 0.27; p = 0.25; SMD 0.18; 95% CI − 0.49 to 0.13). Furthermore, studies that included a control group found a non-significant improvement in participants in the RST group compared with the control group, independent of the analyzed phase. Conclusions RST is an effective method to improve sprint performance, specifically in the early acceleration phase. However, it cannot be said that this method is more effective than the same training without overload. The effect of RST is greatest in recreationally active or trained men who practice team sports such as football or rugby. Moreover, the intensity (load) is not a determinant of sprint performance improvement, but the recommended volume is > 160 m per session, and approximately 2680 m per total training program, with a training frequency of two to three times per week, for at least 6 weeks. Finally, rigid surfaces appear to enhance the effect of RST on sprint performance.
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PurposeWe sought to compare force–velocity relationships developed from unloaded sprinting acceleration to that compiled from multiple sled-resisted sprints. Methods Twenty-seven mixed-code athletes performed six to seven maximal sprints, unloaded and towing a sled (20–120% of body-mass), while measured using a sports radar. Two methods were used to draw force–velocity relationships for each athlete: A multiple trial method compiling kinetic data using pre-determined friction coefficients and aerodynamic drag at maximum velocity from each sprint; and a validated single trial method plotting external force due to acceleration and aerodynamic drag and velocity throughout an acceleration phase of an unloaded sprint (only). Maximal theoretical force, velocity and power were determined from each force–velocity relationship and compared using regression analysis and absolute bias (± 90% confidence intervals), Pearson correlations and typical error of the estimate (TEE). ResultsThe average bias between the methods was between − 6.4 and − 0.4%. Power and maximal force showed strong correlations (r = 0.71 to 0.86), but large error (TEE = 0.53 to 0.71). Theoretical maximal velocity was nearly identical between the methods (r = 0.99), with little bias (− 0.04 to 0.00 m s−1) and error (TEE = 0.12). Conclusions When horizontal force or power output is considered for a given speed, resisted sprinting is similar to its associated phase during an unloaded sprint acceleration [e.g. first steps (~ 3 m s−1) = heavy resistance]. Error associated with increasing loading could be resultant of error, fatigue, or technique, and more research is needed. This research provides a basis for simplified assessment of optimal loading from a single unloaded sprint.
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The trainability of youths and the existence of periods of accelerated adaptation to training have become key subjects of debate in exercise science. The purpose of this meta-analysis was to characterise youth athletes' adaptability to sprint training across PRE-, MID-, and POST-peak height velocity (PHV) groups. Effect sizes were calculated as a measure of straight-line sprinting performance with studies qualifying based on the following criteria: (a) healthy male athletes who were engaged in organised sports; (b) groups of participants with a mean age between 10 and 18 years; (c) sprint training intervention duration between 4 and 16 weeks. Standardised mean differences showed sprint training to be moderately effective (Effect size=1.01, 95% confidence interval: 0.43-1.59) with adaptive responses being of large and moderate magnitude in the POST- (ES=1.39; 0.32-2.46) and MID- (ES=1.15; 0.40-1.9) PHV groups respectively. A negative effect size was found in the PRE group (ES=-0.18; -1.35-0.99). Youth training practitioners should prescribe sprint training modalities based on biological maturation status. Twice weekly training sessions should comprise up to 16 sprints of around 20 m with a work-to-rest ratio of 1:25 or greater than 90 s.