over 50-m distance were calculated from GRF
signals. Moreover, effective vertical impulse during
the support phase was computed (Weyand et al.,
2000).
2.3 Statistical Analysis
To examine the relationship among variables during
accelerated sprinting with macroscopic perspective,
each variable at all steps during 50-m distance was
averaged out. Means and standard deviations were
calculated for each variable. Pearson’s product
moment correlation coefficient was calculated to test
relationship among the average variables. The
significance level was set at 5%. All statistical
values were calculated using JMP 12 statistical
software (SAS Institute Japan Ltd, Tokyo, Japan).
3 RESULTS
Averaged running speed, step length and step
frequency over 50-m distance were 8.20 ± 0.17 m/s,
1.82 ± 0.10 m, 4.45 ± 0.22 Hz, respectively. Figure 1
shows changes in step width during the entire
acceleration phase. The step width from the first step
after block clearance decreased to the 14th step (3.43
s), and the magnitude of decrease became small
afterward during the entire acceleration phase. The
averaged step width over 50-m distance and its ratio
were 0.15 ± 0.05 m and 8.9 ± 3.0 % of stature.
Table 1 shows averaged GRF variables over 50-
m distance. The medial (inward) impulse was
greater than the lateral (outward) impulse while
running on straight line.
Figure 1: Step-to-step changes in step width during
accelerated sprinting for 50-m. Black and grey lines
indicate means and standard deviations. The value at the
first step was from block clearance to the first foot strike
on the ground.
The ratio of step width was significantly
positively correlated with running speed (r = .484, P
= .049), whereas no significant correlation was
found between the ratio of step width and step length
or frequency (r = .279 and −.066, P = .279 and .800)
(Figure 2). The ratio of step width was significantly
correlated positively with medial (r = .816, P < .001),
lateral (r = .833, P < .001), net mediolateral (r
= .880, P < .001) and propulsive impulses (r = .539,
P = .026) (Figure 2). No significant relationship was
found between the ratio of step width on the one
hand and braking impulse (r = −.447, P = .072),
anterior–posterior net impulse (r = .423, P = .091)
and effective vertical impulse (r = .015, P = .955) on
the other hand.
4 DISCUSSION
This study aimed to clarify the relationships of step
width with sprinting performance and GRFs. The
results in this study demonstrate the probable
importance of relatively wide step width for better
accelerated sprinting performance. Because the
relationship of step width with both step length and
frequency did not show significant relationship, the
benefit of wider step width may have no specific
effect on longer step length or higher step frequency.
In contrast to the results of this study, Ito et al.
(2006) reported no significant difference in the step
width between elite and national level sprinters. The
reason of this discrepancy may be the difference in
methodological approach in addition to the
difference in the performance levels between our
study and the study by Ito et al. (2006), i.e. sprinting
was investigated at initial acceleration and at
maximal speed phase in the study of Ito et al. (2006),
while it was investigated over the entire 50-m
distance in this study.
The wider step width was associated with greater
medial impulse and smaller lateral impulse, as well
as greater mediolateral net impulse, indicating that
the wide step width will be accompanied by large
mediolateral velocity of body within a step.
Although the mediolateral velocity of body is
theoretically disadvantageous for better sprinting
performance, the wide step width is interestingly
also associated with greater propulsive impulse. This
result suggests that wider step width may be feasible
to produce greater propulsive force during the
support phase of sprinting. While it is difficult to
clearly explain the mechanism of how wider step
width induces greater propulsive impulse during
sprinting, one possible reason is the difference in