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. Author manuscript; available in PMC: 2017 Apr 1.
Published in final edited form as: Psychoneuroendocrinology. 2016 Jan 12;66:195–204. doi: 10.1016/j.psyneuen.2016.01.008

Table 3.

Multiple regression results with model summary for each steps and coefficient statistics for all predictors in the final step for the outcome variable of CoMIR.

Models Predictors β-coefficientstd t R2 R2adj ΔR2 ΔF
BDI-T Age* −.319 −2.161
Gender −.079 −.550
SBP −.207 −1.379 .200 .122 .200 2.581
Plasma Cort −.168 −1.163 .219 .115 .019 .725
BDI-T# −.269 −1.792 .373 .265 .154 7.122*
BMI* −.364 −2.357 .477 .364 .104 5.556*
BDI-S Age* −.341 −2.445
Gender −.101 −.736
SBP −.231 −1.596 .200 .122 .200 2.581
Plasma Cort −.161 −1.176 .219 .115 .019 .725
BDI-S* −.369 −2.466 .463 .370 .244 13.162***
BMI# −.286 −1.842 .521 .418 .058 3.395
BDI-C Age* −.352 −2.254
Gender −.077 −.515
SBP −.166 −1.054 .200 .122 .200 2.581
Plasma Cort −.205 −1.354 .219 .115 .019 .725
BDI-C −.068 −.454 .230 .097 .011 .418
BMI** −.460 −3.039 .421 .297 .191 9.236**

Each model for the BDI scores included age, gender, and systolic blood pressure as the 1st step and plasma cortisol as the 2nd step. Then, BDI scores and BMI were entered as the 3rd step. Significance was determined at

*

p ≤ 0.05,

**

p ≤ 0.01,

***

p ≤ 0.001 for the predictors and the F change for each step.

#

notes p< .10.