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. Author manuscript; available in PMC: 2016 Oct 1.
Published in final edited form as: Psychoneuroendocrinology. 2015 Jun 4;60:46–56. doi: 10.1016/j.psyneuen.2015.05.009

Table 3.

The effects of napping on the diurnal cortisol pattern.

Reference Condition

No-Nap-P Morning Nap-E Afternoon Nap-P

B SE B SE B SE
Intercept 9.22 0.82 9.95 1.04 8.09 0.84
  Morning nap-E 0.73 0.96 -- -- 1.86 1.13
  Afternoon nap-P −1.13 1.02 −1.86 1.13 -- --
  Afternoon nap- E 0.44 1.06 −0.29 1.12 1.57 0.60
  No-Nap-P -- -- −0.73 0.96 1.13 0.02
Morning decline −2.19*** 0.37 −2.72*** 0.42 −2.15*** 0.36
  Morning nap-E −0.53 0.45 -- -- −0.57 0.52
  Afternoon nap-P 0.04 0.36 0.57 0.52 -- --
  Afternoon nap-E −0.21 0.40 0.32 0.50 −0.26 0.29
  No-Nap-P -- -- 0.53 0.45 −0.04 0.36
Noon decline −0.27*** 0.07 −0.06 0.16 −0.19* 0.09
  Morning nap-E 0.21 0.17 -- -- 0.12 0.16
  Afternoon nap-P 0.09 0.10 −0.12 0.16 -- --
  Afternoon nap-E −0.08 0.09 −0.29 0.16 −0.17 0.11
  No-Nap-P -- -- −0.21 0.17 −0.09 0.10
Nap-awakening rise −0.17 0.49 7.32*** 1.54 3.24*** 0.76
  Morning nap-E 7.50*** 1.64 -- -- 4.08* 1.70
  Afternoon nap-P 3.41*** 0.84 −4.08* 1.70 -- --
  Afternoon nap-E 0.89 0.50 −6.61*** 1.52 −2.53** 0.77
  No-Nap-P -- -- −7.50*** 1.64 −3.41*** 0.84
Post-nap decline −.38* 0.18 −1.71*** 0.41 −1.00*** 0.23
  Morning nap-E −1.34** 0.47 -- -- −0.71 0.40
  Afternoon nap-P −0.63* 0.27 0.71 0.40 -- --
  Afternoon nap-E −1.10*** 0.25 0.24 0.41 −0.47 0.26
  No-Nap-P -- -- 1.34** 0.47 0.63* 0.27
Evening decline −0.33** 0.09 −0.60*** 0.12 −0.30** 0.11
  Morning nap-E −0.27** 0.10 -- -- −0.30* 0.14
  Afternoon nap-P 0.04 0.15 0.30* 0.14 -- --
  Afternoon nap-E 0.20 0.29 0.47 0.29 0.16 0.27
  No-Nap-P -- -- 0.27* 0.10 −0.04 0.15

Note: The four nap conditions were dummy coded. Three models were estimated, each with either the parent collected no-nap (No-Nap-P), experimenter collected morning nap (Morning Nap-E), or parent collected afternoon nap (Afternoon Nap-P) as a reference condition in order to evaluate all pairwise comparisons among the four cortisol profiles. Piecewise growth modeling was used to estimate linear coefficients for five separate periods.

*

p < .05,

**

p < .01,

***

p < .001