Table 1. Repeated measures correlations between different training load variables with competitive performance for four elite international long jump athletes in a 16-week period that included the qualification for and competition at the 2016 Olympic Games. |
|
SMA |
EWMA-W |
EWMA-L |
r [95% CI] |
p |
r [95% CI] |
p |
SM r-z p |
r [95% CI] |
p |
SM r-z p |
EWMA-W r-z p |
sRPE Training Load Variables |
Total week TL |
0.06 [-0.35, 0.46] |
0.74 |
- |
- |
- |
- |
- |
- |
- |
Week-to-week TL change |
-0.13 [-0.51, 0.29] |
0.53 |
- |
- |
- |
- |
- |
- |
- |
Acute TL |
0.06 [-0.35, 0.46] |
0.74 |
0.09 [-0.32, 0.47] |
0.67 |
0.95 |
0.11 [-0.31, 0.49] |
0.61 |
0.90 |
0.95 |
Chronic TL |
0.15 [-0.27, 0.52] |
0.46 |
0.16 [-0.26, 0.53] |
0.44 |
0.97 |
0.29 [-0.13, 0.62] |
0.16 |
0.64 |
0.66 |
TSB |
0.08 [-0.34, 0.47] |
0.71 |
0.20 [-0.22, 0.56] |
0.32 |
0.68 |
0.25 [-0.17, 0.59] |
0.22 |
0.56 |
0.86 |
TSB VOL21 |
-0.27 [-0.85, 0.61] |
0.48 |
0.19 [-0.23, 0.55] |
0.35 |
0.39 |
0.15 [-0.27, 0.52] |
0.47 |
0.43 |
0.88 |
TSB CH21 |
0.23 [-0.63, 0.84] |
0.55 |
0.06 [-0.35, 0.45] |
0.76 |
0.75 |
0.11 [-0.31, 0.49] |
0.60 |
0.82 |
0.85 |
DIFF 7-day |
- |
- |
-0.21 [-0.56, 0.22] |
0.32 |
- |
-0.15 [-0.52, 0.27] |
0.46 |
- |
0.86 |
DIFF 21-day |
- |
- |
-0.15 [-0.52, 0.27] |
0.46 |
- |
-0.19 [-0.55, 0.24] |
0.36 |
- |
0.92 |
|
SMA – simple moving average, EWMA-W – exponentially weighted moving averages as per Williams et al. (2016), EWMA-L - exponentially weighted moving averages as per Lazarus et al. (2017), TL – training load, TSB – training stress balance, DIFF – differential load, VOL21 - the volatility (standard deviation) of values in the last 21 days prior to competition, CH21 - the value 21 days prior to competition subtracted from the value on the day of the competition, r – correlation coefficient; CI – confidence interval. |
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