Table 2.
Factors significantly associated with saliva cortisol concentrations the night prior to transportation (T-1) and after transport (T1).
| Outcome variable | Explanatory factor(s) | Significance P= |
Effect size |
|---|---|---|---|
| T-1 Cortisol concentration | |||
| Travel history | 0.029 | Nil/unknown 12.8 (8.2–17.4), occ/freq 7.9 (5.8–9.9) nmol/L** | |
| T1 Cortisol concentration | |||
| Waypoint temperature | <0.001 | rs = 0.572 | |
| Arrival temperature | 0.002 | rs = 0.535 | |
| Waypoint humidity | <0.001 | rs = −0.585 | |
| Arrival humidity | 0.001 | rs = −0.569 | |
| Distance traveled | 0.002 | rs = −0.533 | |
| Duration of travel | 0.004 | rs = −0.514 | |
| Time of arrival | 0.011 | rs = −0.457 | |
| Time of sampling | 0.018 | rs = −0.428 | |
| Interval btw arrival & sampling | 0.002 | rs = 0.535 | |
| Trip | <0.001 | Trip 8 16.2 (13.0–19.0), other trips 5.8 (4.5–9.5) nmol/L* | |
| Sweat score | <0.001 | rs = 0.653 | |
| Abnormal demeanour | 0.005 | rs = 0.497 | |
*Median (IQR); **Mean (95% CI). occ, occasional; freq, frequent; btw, between; IQR, interquartile range (non-parametric data); 95% CI, 95% confidence interval (parametric data). Interactions between continuous explanatory data with continuous outcomes data were explored by Pearson (parametric) or Spearman (non-parametric) correlation; effects of categorical explanatory factors on continuous data were explored by analysis of variance or t-test (or non-parametric equivalent, as appropriate), and effects of categorical explanatory data on categorical outcomes were evaluated using Spearman correlation. No significant interactions were observed for salivary cortisol concentrations immediately prior to departure (T0).