Table 4.

Multivariable-Adjusted Linear and Logistic Regression Models for Associations of Sleep Characteristics with the AHA LS7 Score (n=507)^*

	Linear Model†, §			Logistic Model‡, §
Sleep Characteristics	B(SE)	p-value	Sleep Characteristics	OR (95%CI)	p-value
Sleep Duration (Hours)	0.14 (0.08)	0.057	Sleep Duration (<7 vs. ≥7h)	1.60 (0.99–2.60)	0.06
Sleep Quality (PSQI score)	−0.08 (0.02)	0.002	Sleep Quality (PSQI >5 vs. ≤5)	1.51 (0.93–2.45)	0.095
Insomnia Severity Index	−0.05 (0.02)	0.002	Insomnia (Yes vs. No)	1.69 (1.05–2.71)	0.031
Snore (Yes vs. No)	−0.77 (0.20)	0.0001	Snore (Yes vs. No)	1.87 (1.14–3.06)	0.013
OSA Risk (High vs. Low)	−1.63 (0.24)	<0.0001	OSA Risk (High vs. Low)	3.89 (2.23–6.81)	<0.0001

^*OSA: obstructive sleep apnea; PSQI: Pittsburg Sleep Quality Index

^†Results of linear regression models represent the increase in the AHA LS7 score per one-hour increase in sleep duration, per one unit increase in the PSQI or ISI scores, for snoring vs. no snoring, and for high vs. low risk of OSA

^‡Logistic regression models examine the odds of having a poor AHA LS7 score (0–8) by category of sleep characteristics

^§Linear and logistic regression models are adjusted for age, race/ethnicity, education, health insurance, employment, menopausal status, and nativity (born in USA)