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Table 3 Results of correlated component regression analyses for healthy dietary intake outcome measures

From: Describing socioeconomic gradients in children’s diets – does the socioeconomic indicator used matter?

   BOYS (n = 275)

 

   GIRLS (n = 353)

 

Variable

CV predictor counta

β

Model goodness of fit indicesb

Variable

CV predictor counta

β

Model goodness of fit indicesb

Fruit intake (8 predictors)

  

Fruit intake (8 predictors)

  

 SEIFA*

100

0.138

R2 = 0.052

 Employment*

100

−0.122

R2 = 0.014

 Mother’s education*

100

0.128

R2(CV) = 0.011

 Child age*

89

−0.063

R2(CV) = 0.012

 Employment*

96

−0.087

SD (CV) = 0.004

 Mother’s occupation*

89

−0.063

SD (CV) = 0.009

 Mother’s occupation*

92

0.067

 

 Marital status*

82

0.033

 

 Marital status*

82

0.044

 

 Mother’s education*

77

−0.010

 

 Mother’s age*

79

−0.040

 

 Mother’s age*

71

−0.013

 

 Child age*

64

−0.035

 

 SEIFA*

71

−0.002

 

 Income*

47

0.024

 

 Income*

71

−0.006

 

Vegetable intake (1 predictor)

  

Vegetable intake (1 predictor)

  

 Mother’s education*

90

0.120

R2 = 0.015

 Employment*

83

−0.099

R2 = 0.010

 SEIFA

67

 

R2(CV) = 0.007

 Mother’s education

74

 

R2(CV) = 0.005

 Employment

42

 

SD (CV) = 0.009

 Mother’s occupation

10

 

SD (CV) = 0.003

 Mother’s age

39

  

 SEIFA

9

  

 Child age

22

  

 Income

8

  

 Income

17

  

 Mother’s age

7

  

 Mother’s occupation

2

  

 Child age

5

  

 Marital status

1

  

 Marital status

4

  

Healthy behavioursC (4 predictors)

 

Healthy behavioursC (1 predictors)

  

 Employment*

100

−0.116

R2 = 0.036

 Marital status*

54

0.077

R2 = 0.006

 Marital status*

59

0.076

R2(CV) = 0.008

 SEIFA

31

 

R2(CV) = 0.022

 Mother’s occupation*

57

0.082

SD (CV) = 0.004

 Child age

16

 

SD (CV) = 0.013

 Mother’s education*

48

0.062

 

 Mother’s age

12

  

 Income

12

  

 Mother’s occupation

10

  

 SEIFA

3

  

 Income

3

  

 Mother’s age

1

  

 Employment

3

  

 Child age^

--

  

 Mother’s education

1

  
  1. *Predictor retained in final model.
  2. ^Predictor not retained in any model.
  3. ß = standardised regression coefficient.
  4. aCross-validation predictor count - Represents number of regressions in which predictor appeared. Predictor count of 100 indicates that predictor was present in all 100 regressions. Indicates importance of predictor together with standardised regression coefficient (β).
  5. bModel goodness of fit indices: R2(CV) = cross-validated R2; SD (CV) = Standard deviation for cross-validated R2.
  6. cHealthy behaviours: Breakfast intake, carrying water bottle, help parents with groceries, help to prepare dinner, eat dinner with the family.