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Table 4 The model summary of the block-wise regression analysis

From: Factors associated with self-rated health in a Norwegian population of older people participating in a preventive home visit program: a cross-sectional study

 

Final modela

Model propertiesb

  

R2

 

B (95%CI)

p-value

value

change

p-valuec

Block 1: Single variable

  

0.30

–

< 0.001

 Limited by disease

0.37 (0.26, 0.48)

< 0.001

   

Block 2: Lifestyle

  

0.37

0.07

0.003

 Social support

−0.00 (−0.04, 0.04)

0.835

   

 Use alcohol

−0.11 (0.32, 0.11)

0.332

   

 Have mobile phone

0.32 (−0.01, 0.65)

0.054

   

 Use internet

0.25 (0.02, 0.47)

0.033

   

 Have a hobby

−0.06 (−0.47, 0.35)

0.776

   

Block 3: Demographics

  

0.37

0.00

0.354

 Gender

0.02 (−0.21, 0.24)

0.891

   

 Education

0.12 (−0.13, 0.37)

0.334

   

Block 4: Health conditions

 Hearing

−0.03 (0.11, 0.18)

0.651

0.42

0.05

0.012

 Sleep problems

0.17 (−0.06, 0.40)

0.150

   

 Life orientation

−0.18 (0.04, 0.39)

0.100

   

 Pain

0.25 (0.03, 0.47)

0.023

   

 Home care services

0.21 (−0.06, 0.49)

0.125

   

Block 5: Medical diagnoses

  

0.43

0.01

0.108

 Depression

0.64 (−0.14, 1.43)

0.108

   
  1. aEstimation of the model containing all variables in the table. bR-square for the cumulative model and change of R-square by adding the current block. cANOVA
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