Table 3.
Effects of sex, age, race distance, running experience and racing experience on supplement intake
CHO/Protein | Minerals | Vitamins | ||||||||
---|---|---|---|---|---|---|---|---|---|---|
Fit | CI | p | Fit | CI | p | Fit | CI | p | ||
Sex | Female | 0.15 | [0.08, 0.28] | 0.468 | 0.39 | [0.26, 0.53] | 0.280 | 0.40 | [0.27, 0.55] | 0.719 |
Male | 0.21 | [0.12, 0.33] | 0.28 | [0.18, 0.42] | 0.44 | [0.31, 0.57] | ||||
Age (y) | 20 | 0.29 | [0.08, 0.65] | 0.424 | 0.16 | [0.04, 0.43] | 0.140 | 0.30 | [0.10, 0.62] | 0.402 |
30 | 0.23 | [0.11, 0.43] | 0.22 | [0.11, 0.41] | 0.35 | [0.19, 0.55] | ||||
40 | 0.19 | [0.12, 0.28] | 0.31 | [0.22, 0.41] | 0.41 | [0.31, 0.51] | ||||
50 | 0.15 | [0.08, 0.27] | 0.41 | [0.28, 0.55] | 0.47 | [0.33, 0.61] | ||||
70 | 0.09 | [0.01, 0.43] | 0.62 | [0.24, 0.89] | 0.59 | [0.22, 0.88] | ||||
Race Distance | 10 km | 0.17 | [0.06, 0.38] | 0.742 | 0.33 | [0.16, 0.56] | 0.954 | 0.55 | [0.34, 0.75] | 0.380 |
HM | 0.22 | [0.12, 0.37] | 0.31 | [0.19, 0.47] | 0.42 | [0.28, 0.58] | ||||
M/UM | 0.16 | [0.05, 0.45] | 0.34 | [0.22, 0.49] | 0.36 | [0.23, 0.51] | ||||
Running Experience | Low | 0.17 | [0.12, 0.29] | 0.901 | 0.49 | [0.23, 0.76] | 0.451 | 0.48 | [0.22, 0.75] | 0.776 |
Medium | 0.19 | [0.12, 0.30] | 0.32 | [0.22, 0.44] | 0.43 | [0.32, 0.55] | ||||
High | 0.15 | [0.03, 0.49] | 0.21 | [0.07, 0.49] | 0.32 | [0.12, 0.63] | ||||
Racing Experience | Low | 0.15 | [0.08, 0.27] | 0.686 | 0.27 | [0.17, 0.40] | 0.195 | 0.36 | [0.24, 0.49] | 0.230 |
Medium | 0.21 | [0.10, 0.40] | 0.36 | [0.21, 0.54] | 0.46 | [0.29, 0.65] | ||||
High | 0.25 | [0.08, 0.54] | 0.55 | [0.28, 0.79] | 0.63 | [0.35, 0.84] |
CHO carbohydrates. 10 km 10-kilometers; HM half-marathon; M/UM marathon/ultra-marathon; CI mean effect size with 95%-CI, upper and lower boundaries; p p-value