Table 3.

Multilevel, Generalized Linear Models with Repeated Measures for Reported Time-in-bed Predicting Physical Activity and Sedentary Behavior the Next Day.^a,b,c

Physical Activity and Sedentary Behavior
	Total accelerometer counts, per 1,000 ct·d−1			Sedentary, per 10 min·d−1			Light Intensity, per 10 min·d−1			MVPA, % < 20 or ≥20 min·d−1
	Estimate	Standard Error	p value	Estimate	Standard Error	p value	Estimate	Standard Error	p value	Estimate	Standard Error		p value
Intercept	655.1	9.5	<0.001	30.1	0.96	<0.001	58.1	0.81	<0.001	5.1	0.24		<0.001
Time-in-bed
	Estimate	Standard Error	p value	Estimate	Standard Error	p value	Estimate	Standard Error	p value	Odds Ratio	95% CI		p value
<7 h·d−1	5.5	1.4	<0.001	4.7	0.15	<0.001	1.2	0.12	<0.001	0.94	0.86	1.03	0.16
>9 h·d−1	−12.7	0.95	<0.001	−3.4	0.11	<0.001	−1.6	0.08	<0.001	0.73	0.67	0.78	<0.001

CI = confidence interval; ct·d⁻¹ = counts per day; h·d⁻¹= hours per day; min·d⁻¹ = minutes per day; MVPA = Moderate to vigorous intensity physical activity

^aReported time-in-bed obtained via recorded times corresponding to time in bed at night and out of bed the next morning; sedentary behavior and physical activity data were assessed via accelerometers.

^bReference category is 7-9 hours of sleep per night.

^cModels adjusted for: age (years), education (<Bachelor’s Degree, Bachelor’s Degree, and Graduate School), body mass index (BMI) categories (underweight, overweight, obese), self-rated health status (poor, fair, good, very good).