. Author manuscript; available in PMC: 2014 Dec 1.

Published in final edited form as: Med Sci Sports Exerc. 2013 Dec;45(12):10.1249/MSS.0b013e31829e4cea. doi: 10.1249/MSS.0b013e31829e4cea

Table 4. Multilevel models for sleep predicting physical activity the following day.

Physical Activity	Onset latency, min	Sleep time, min	Efficiency, %	Fragmentation index
Daily activity counts, ct·min^-1·d^-1	-.01 (.01)	.10 (.07)	.32 (.14)^*	-.06 (.03)^*
MVPA, min	.006 (.02)	.02 (.12)	.54 (.24)^*	-.10 (.04)^*

Data are regression coefficient (standard error). Physical activity and sleep variables are log transformed. Sleep variables were entered separately.

Covariates: age, education, BMI, depressive symptoms, arthritis, accelerometer wear time

BMI = body mass index

MVPA = moderate to vigorous physical activity

p<.05