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. 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 3. Multilevel models for physical activity predicting sleep.

Physical Activity Onset latency, min Sleep time, min Efficiency, % Fragmentation index
Daily activity counts, ct·min-1·d-1 -.04 (.08) -.04 (.02)** -.007 (.009) -.008 (.04)
MVPA, min -.05 (.05) -.02 (.01)* -.004 (.006) .004 (.03)

Data are regression coefficient (standard error). Physical activity and sleep variables are log transformed. Physical activity 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,

**

p<.01