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. Author manuscript; available in PMC: 2015 May 1.
Published in final edited form as: Psychosom Med. 2014 May;76(4):252–256. doi: 10.1097/PSY.0000000000000060

Table 3.

Summary of fixed effects for final models of stress hormone trajectories.

Effect Estimate P-value 95% Confidence interval
Cortisol

Intercept 2.211 <0.001 (1.911, 2.510)
Linear 0.031 0.243 (−0.021, 0.084)
CES-D −0.023 0.002 (−0.038, −0.008)
CES-D×Linear 0.003 0.002 (0.001, 0.005)

ACTH

Intercept 3.010 <0.001 (2.465, 3.554)
Linear −0.078 0.407 (−0.262, 0.107)
Quadratic 0.004 0.633 (−0.013, 0.021)
CES-D −0.011 0.361 (−0.034, 0.012)
CES-D×Linear 0.005 0.211 (−0.003, 0.012)
CES-D×Quadratic −0.0003 0.341 (−0.001, 0.0003)

Epinephrine

Intercept 3.389 <0.001 (2.984, 3.795)
Linear −0.047 0.198 (−0.118, 0.024)
CES-D 0.003 0.778 (−0.018, 0.024)
CES-D×Linear −0.002 0.065 (−0.005, 0.0001)

Norepinephrine

Intercept 5.486 <0.001 (5.186, 5.787)
Linear 0.071 0.007 (0.019, 0.122)
CES-D −0.004 0.569 (−0.020, 0.011)
CES-D×Linear −0.0002 0.797 (−0.002, 0.002)

The parameter estimates were calculated using hierarchical linear modeling and maximum likelihood estimation.

Outcomes are the natural log of the stress hormone and values reported in the table are for the original models of the transformed outcomes. Significant effects of depressive symptoms were back-transformed into the original units and are reported in the text. Controls are not shown for clarity. The linear term refers to monthly changes since the baseline assessment. CES-D=Center for Epidemiological Studies Depression Scale.