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. 2013 Mar 22;13:99. doi: 10.1186/1471-244X-13-99

Table 8.

Stepwise linear regression analyses for CORE scores and domains, controlling for gender, age and clinical status

 
Dependent variable in model
Independent variables3
Well-being1
Symptoms
Functioning
Risk
Non-risk
All items
  β2 p< β p< β p< β p β p β p
Gender
0.08
.001
0.02
n.s.
−0.02
n.s.
−0.14
.0001
0.02
n.s.
0.00
n.s.
(Male=0, female=1)
 
 
 
 
 
 
 
 
 
 
 
 
Age
−0.04
n.s.
0.00
n.s.
−0.06
.05
−0.11
.0001
−0.30
n.s.
−0.04
n.s.
Patient status
0.69
.0001
0.73
.0001
0.65
.0001
0.46
.0001
0.73
.0001
0.72
.0001
(Non-clinical=0, Clinical=1)                        

1 Model fit statistics (ANOVA) with df=3 for all models: Well-being: F=279.1, p<.0001; Symptoms/ Problems: F=363.7, p<.0001; Functioning: F=232.3, p<.0001; Risk: F= 98.6, p<.0001; Non-risk: F= 352.1, p<.0001; All items: F= 338.0, p<.0001.

2 β Standarized Beta of independent variables.

3 Variables entered stepwise in order: Gender + Age+ Patient status.