Table 2.

Post-estimation of contrasts from linear mixed-effects regression model for stress parameter reactivity.

Dependent variables	Group ( df = 1)		Time ( df = 3)		Group*time ( df = 3)
	chi2	p	chi2	p	chi2	p
Systolic blood pressure	0.15	0.703	171.89	<0.001	8.80	0.032
Diastolic blood pressure	0.05	0.819	149.83	<0.001	5.92	0.116
Heart rate	0.00	0.993	260.04	<0.001	7.69	0.053
log(SDNN)	1.69	0.194	91.81	<0.001	18.05	<0.001
log(RMSSD)	0.69	0.406	82.10	<0.001	4.25	0.236
log(ACTH)	1.25	0.265	3.57	0.312	4.98	0.173
log(Cortisol)	7.48	0.006	38.66	<0.001	42.76	<0.001
log(Dopamine)	15.50	<0.001	2.61	0.455	3.95	0.267
log(Norepinephrine)	1.87	0.172	21.17	<0.001	2.40	0.493
log(Epinephrine)	4.04	0.045	2.36	0.502	0.27	0.965
baPWV	0.30	0.585	34.49	<0.001	2.84	0.418
cPWV	0.38	0.540	67.02	<0.001	5.83	0.120
log(cPP)	1.43	0.232	18.43	<0.001	1.39	0.709

Post-estimation of contrasts from linear mixed-effects regression model with random intercepts.

Covariates included in the models: age, body mass index.

Time was level 1, the individual level (Persons) were on level 2.

A two-way-interaction between group (Healthy vs. Hypertensive) and time (rest [1], AAP [2], sSRr [3], recovery [4]) was modeled using restricted maximum likelihood.

Significance level: p < 0.05.

SDNN, standard deviation of normal to normal R-R intervals; RMSSD, root mean square of successive differences; ACTH, adreno-corticotrope hormone; baPWV, brachial-ankle pulse wave velocity; cPWV, central pulse wave velocity; cPP, central pulse pressure; df, degrees of freedom.