Table 5.

Regression equations to predict QSART volume from Q-Sweat volume accounting for age when significant

Endpoint	Regression equation	Model R2	RMSE*
Forearm
Men	1.25 + 1.47 × (Q-Sweat vol. in μL)	0.55	1.25
Women	0.435 + 1.27 × (Q-Sweat vol. in μL)	0.47	0.67
Distal leg
Men	0.927 + 1.47 × (Q-Sweat vol. in μL)	0.62	1.04
Women	0.309 + 1.81 × (Q-Sweat vol. in μL) − 0.010 × (Age in y)	0.86	0.54
Proximal leg
Men	0.877 + 1.17 × (Q-Sweat vol. in μL)	0.51	0.92
Women	0.495 + 1.79 × (Q-Sweat vol. in μL) − 0.012 × (Age in y)	0.69	0.63
Foot
Men	0.841 + 1.11 × (Q-Sweat vol.)	0.35	0.89
Women	0.397 + 1.52 × (Q-Sweat vol. in μL)	0.33	0.71

^*Root mean square error. Approximately 95% of QSART values can be expected to fall within 2 RMSE of the regression line.