TABLE 2.

Estimates for growth curve models with landmark registration of the cortisol response to psychosocial stress predicted by autonomic stress response

	Baseline piecewise growth curve models without autonomic interaction terms
	Model 2.1: Alpha amylase (SNS)			Model 2.2: Preparatory HRV (PNS anticipation)			Model 2.3: Task (story + math) HRV (PNS acute stressor adaptation)
	β	SE	t‐Value	β	SE	t‐Value	β	SE	t‐Value
Intercept	0.032	0.14	0.23	−0.050	0.17	0.75	−0.061	0.17	−0.36
Time before peak	0.32	0.038	8.24***	0.34	0.042	8.08***	0.33	0.041	8.15***
Time after peak	−0.46	0.043	−10.63***	−0.44	0.046	−9.48***	−0.45	0.046	−9.81***
sAA	0.16	0.099	1.64	–	–	–	–	–	–
Time before peak × sAA	0.040	0.036	1.09	–	–	–	–	–	–
Time after peak × sAA	−0.15	0.054	−2.83**	–	–	–	–	–	–
HRV	–	–	–	−0.20	0.11	−1.75	−0.23	0.11	−2.14*
Time before peak × HRV	–	–	–	−0.15	0.044	−3.36***	−0.21	0.045	−4.59***
Time after peak × HRV	–	–	–	0.087	0.045	1.95	0.10	0.044	2.34**

Note: Models 2.1 through 2.3 examine coordination between isolated autonomic systems and the cortisol response trajectory. 2.1 examines the effects of the sympathetic (SNS) system or sAA (using AUCi as a predictor). 2.2 and 2.3 examine the effects of different aspects of the parasympathetic (PNS) system: HRV during the preparatory period and HRV during the TSST story and math tasks. Intercept represents peak activation (when all other predictors are 0 and time is 0). Time before peak indexes cortisol reactivity slope (x = time, y = cortisol concentration), time after peak reflects cortisol recovery slope. Models control for baseline cortisol, biologic sex, time of day, and age in years.

^* p < .05

^** p < .01

^*** p < .001.