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Table 5 Ordinal logistic regression models describing the association between cognitive ability test scores and dietary patterns in children aged 10–15 years (both as continuous variables and quartiles)

From: Association between dietary patterns and cognitive ability in Chinese children aged 10–15 years: evidence from the 2010 China Family Panel Studies

Test

Dietary pattern

Quartile

Model I a

Model II b

Model III c

OR

P value

95%CI

OR

P value

95%CI

OR

P value

95%CI

Mathematics

‘High protein’

 

1.29

< 0.001

(1.21;1.37)

1.19

< 0.001

(1.11;1.27)

1.15

< 0.001

(1.07;1.23)

‘High fat’

 

0.89

0.004

(0.82;0.96)

0.93

0.090

(0.86;1.01)

0.94

0.136

(0.86;1.02)

‘High salt-oil’

 

0.94

0.182

(0.87;1.03)

1.00

0.955

(0.92;1.09)

1.03

0.568

(0.94;1.12)

Vocabulary

‘High protein’

 

1.19

< 0.001

(1.12;1.26)

1.10

0.005

(1.03;1.17)

1.06

0.076

(0.99;1.13)

‘High fat’

 

0.85

< 0.001

(0.78;0.91)

0.88

0.002

(0.82;0.95)

0.88

0.002

(0.82;0.96)

‘High salt-oil’

 

0.90

0.012

(0.83;0.98)

0.95

0.238

(0.88;1.03)

0.96

0.372

(0.89;1.05)

Mathematics

‘High protein’

Q1

  

0

  

0

  

0

 

Q2

1.20

0.151

(0.94;1.54)

1.10

0.449

(0.86;1.42)

1.06

0.664

(0.82;1.36)

 

Q3

2.09

< 0.001

(1.63;2.68)

1.80

< 0.001

(1.40;2.33)

1.67

< 0.001

(1.29;2.16)

 

Q4

2.47

< 0.001

(1.90;3.20)

1.84

< 0.001

(1.41;2.41)

1.62

0.001

(1.23;2.15)

‘High fat’

Q1

  

0

  

0

  

0

 

Q2

0.74

0.014

(0.58;0.94)

0.84

0.160

(0.66;1.07)

0.86

0.234

(0.67;1.10)

 

Q3

0.85

0.182

(0.67;1.08)

0.95

0.700

(0.75;1.22)

1.00

0.995

(0.78;1.28)

 

Q4

0.69

0.002

(0.54;0.87)

0.77

0.042

(0.61;0.99)

0.76

0.031

(0.59;0.98)

‘High salt-oil’

Q1

  

0

  

0

  

0

 

Q2

0.58

< 0.001

(0.45;0.74)

0.66

0.001

(0.52;0.85)

0.73

0.013

(0.56;0.93)

 

Q3

0.55

< 0.001

(0.43;0.71)

0.68

0.003

(0.53;0.87)

0.75

0.028

(0.59;0.97)

 

Q4

0.76

0.028

(0.60;0.97)

0.91

0.431

(0.71;1.16)

0.99

0.915

(0.77;1.27)

Vocabulary

‘High protein’

Q1

  

0

  

0

  

0

 

Q2

1.18

0.170

(0.93;1.48)

1.07

0.580

(0.85;1.35)

1.03

0.776

(0.82;1.31)

 

Q3

1.29

0.036

(1.02;1.63)

1.10

0.438

(0.87;1.40)

1.03

0.809

(0.81;1.31)

 

Q4

1.82

< 0.001

(1.43;2.33)

1.36

0.017

(1.06;1.75)

1.21

0.149

(0.93;1.58)

‘High fat’

Q1

  

0

  

0

  

0

 

Q2

0.94

0.622

(0.75;1.19)

1.03

0.778

(0.82;1.31)

1.06

0.624

(0.84;1.34)

 

Q3

0.85

0.165

(0.68;1.07)

0.94

0.627

(0.75;1.19)

0.97

0.780

(0.76;1.22)

 

Q4

0.69

0.002

(0.55;0.87)

0.78

0.036

(0.62;0.98)

0.77

0.029

(0.61;0.97)

‘High salt-oil’

Q1

  

0

  

0

  

0

 

Q2

0.65

< 0.001

(0.51;0.81)

0.75

0.016

(0.59;0.95)

0.80

0.064

(0.63;1.01)

 

Q3

0.67

0.001

(0.53;0.85)

0.82

0.101

(0.65;1.04)

0.88

0.305

(0.69;1.12)

 

Q4

0.75

0.014

(0.59;0.94)

0.87

0.269

(0.69;1.11)

0.93

0.544

(0.73;1.18)

  1. aModel I includes gender, age, nationality, and household registration
  2. bModel II includes the variables in model 1 + school type, mother education, and father education
  3. cModel III includes the variables in model 2 + family education environment, family income, and family size
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BMC Public Health

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