Table 3.

Age, PA, and Bedtime Cortisol

Fixed Effects	Model 1	Model 2
	Estimate (SE)	Estimate(SE)
Intercept	−1.103 (.374)**	−1.114 (.374)**
Sample Time (WP)	.094 (.016)***	.095 (.016)***
Sample Time (BP)	−.081 (.025)**	−.081 (.025)**
Day	.002 (.009)	.002 (.009)
Age	.017 (.002)***	.017 (.002)***
Sex (1 = Male)	−.045 (.045)	−.044 (.045)
Education	−.014 (.019)	−.013 (.019)
Chronic illnesses	.013 (.012)	.013 (.012)
Smoking status (1 = Yes)	−.361 (.070)***	−.359 (.070)***
Race (1 = White)	.367 (.064)***	.368 (.064)***
Medication Use (1 = Yes)	.019 (.046)	.019 (.046)
Positive Affect (WP)	−.045 (.032)	−.043 (.033)
Positive Affect (BP)	−.045 (.033)	−.045 (.033)
Age x Negative Affect (WP)	−.001 (.003)	−.000 (.003)
Age x Negative Affect (BP)	−.006 (.003)*	−.006 (.003)*
Random Effects (WPNA)
Intercept	.492 (.025)***	.492 (.025)***
Negative Affect (WP)		.041 (.034)
Covariance		.002 (.026)
Residual	.525 (.012)***	.520 (.013)***
Model Fit
−2 Log Likelihood	13267.3	13265.4

Note:

^*p<.05,

^**p<.01,

^***p<.001.

WP = Within-Person, BP = Between-Person