. Author manuscript; available in PMC: 2016 May 7.

Published in final edited form as: Int J Psychophysiol. 2012 Oct 23;86(3):283–290. doi: 10.1016/j.ijpsycho.2012.10.009

Table 2.

Predicting physiological stress reactivity (N=87).

	Heart rate reactivity				Systolic blood pressure				Diastolic blood pressure
	Follicular		Luteal		Follicular		Luteal		Follicular		Luteal
	β	R²	β	R²	β	R²	β	R²	β	R²	β	R²
Shortened Premenstrual Assessment Form
Premenstrual affect score	.01		−.37		−.01		−.14		.15		−.14
Premenstrual water retention score	.18		−.03		−.13		−.31^*		.01		.04
Premenstrual pain score	.10		.19		.08		.21		.03		.04
Model 1	.07		.03		.01		.10^*		.03		.01
Pittsburgh Sleep Quality Index
Subjective sleep quality	.03		.09		.27		−.10		.19		.33^*
Minutes to fall asleep	−.04		−.06		−.14		.12		.03		.08
Hours spent asleep	−.07		−.16		−.17		−.21		.03		−.02
Habitual sleep efficiency	−.09		−.41^**		.04		.09		.08		.01
Sleep disturbance	.08		.15		.01		.07		−.25		−.19
Use of sleep medication	−.001		−.20^*		.01		.07		.16		−.09
Daytime dysfunction	−.01		−.04		.02		−.14		.004		−.02
Model 2	.03		.31^**		.10		.05		.12		.06
Total	.09		.33^**		.11		.15		.15		.08

Note. Hierarchical regression models showing the effects of premenstrual symptoms and sleep characteristics on physiological stress reactivity during the follicular and luteal phases of the menstrual cycle. Model statistics reflect R² change for addition of the variables listed above it to the model.

p<.05.

^**

p<.01.