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. Author manuscript; available in PMC: 2015 Nov 1.
Published in final edited form as: Appl Nurs Res. 2014 Feb 27;27(4):237–241. doi: 10.1016/j.apnr.2014.02.006

Table 4. Hierarchal Regression Model to Predict Functional Outcomes.

Dependent Variable: FOSQ Total Score
Variable B SE 95% CI Beta p-
value
Model
LL UL R2 Δ
Block
1
Age .070 .024 .021 .118 .237 .005 .105 R2 model =.408
df = 8
P =.001
Race −.281 .445 −1.165 .602 −.052 .529
Education .395 .436 −.470 1.261 .073 .367
BMI .011 .033 −.115 .039 .028 .733
A1C −.055 .147 −.346 .236 −.031 .709
Block
2
SF-36 Physical
Component
.052 .024 .004 .100 .180 .035 .257
SF-36 Mental
Component
.075 .019 .038 .112 .358 .001
Block
3
PSQI −.161 .059 −.278 −.044 −.245 .008 .046

Note. FOSQ= Functional Outcomes of Sleepiness Questionnaire, BMI= Body Mass Index; A1C= glycosylated hemoglobin; SF-36= Short Form-36, PSQI= Pittsburgh Sleep Quality Index,