Table 3.
Variables | z-testa | P | Effect Size (d)b |
---|---|---|---|
Total PedsQL fatigue score (self-report) | 0.19 | .84 | 0.05 |
Total PedsQL fatigue score (parents report) | 1.67 | .09 | 0.48 |
Total ESI score | 1.41 | .15 | 0.40 |
Salivary cortisol AUC | 1.86 | .05 | 0.54 |
Salivary α-amylase AUC | 0.19 | .84 | 0.05 |
IL-1β | 0.00 | >.999 | 0 |
TNF-α | 0.77 | .43 | 0.22 |
IL-6 | 0.57 | .56 | 0.16 |
IL-12p70 | 0.19 | .84 | 0.05 |
TGF-β | 0.40 | .68 | 0.11 |
IL-10 | 0.57 | .56 | 0.16 |
MMP-9 | 1.77 | .08 | 0.50 |
Abbreviations: ESI, Escala de Estresse Infantil (Child Stress Scale); PedsQL, Pediatric Quality of Life Inventory; IL, interleukin; TNF-α, tumor necrosis factor–α; TGF-β, transforming growth factor–β; MMP-9, matrix metalloproteinase-9; AUC, area under curve.
Cohen’s d effect size calculator for z-test. For the single-sample z-test, Cohen’s d is calculated by subtracting the population mean (before intervention) from the sample mean (after the intervention), and then dividing the result by the population’s standard deviation.
Effect sizes using Cohen’s d were calculated for each variable.45 Interpreting Cohen’s d: d = 0.2 small effect—mean difference is 0.2 SD; d = 0.5 medium effect—mean difference is 0.5 SD; d = 0.8 large effect—mean difference is 0.8 SD.