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Table 5 Hierarchical Regression Analysis for CPDQS and Its Components Predicting SWB (Study 2)

From: Adhere to the Chinese dietary guidelines associated with better subjective well-being: evidence from a cross-sectional survey and a daily diary investigation

 

Model 1

Model 2

Model 3

Varible

β

95%CI

t

β

95%CI

t

β

95%CI

t

Between-person (Level 1)

         

Gender

0.06

[-0.16, 0.28]

0.53

0.06

[-0.16, 0.28]

0.53

0.06

[-0.16, 0.28]

0.53

Age(y)

-0.10

[-0.21, -0.01]

-1.79

-0.10

[-0.21, 0.01]

-1.79

-0.10

[-0.21, 0.01]

-1.79

BMI

-0.01

[-0.04, 0.03]

-0.23

0.07

[-0.04, 0.03]

2.08

-0.01

[-0.04, 0.03]

-0.23

Registered residence

0.20

[-0.07, 0.46]

1.46

0.20

[-0.07, 0.46]

1.46

0.20

[-0.07, 0.46]

1.46

Basic SWB

0.16

[0.10, 0.22]

5.57***

0.16

[0.02, 0.15]

5.57***

0.16

[0.10, 0.22]

5.57***

Within_person (Level 2)

         

CPDQS

   

0.19

[0.11, 0.26]

4.76***

   

Cereals/Tubers

      

0.01

[-0.04, 0.06]

0.43

Vegetables/Fruits

      

0.11

[0.04, 0.17]

3.23**

Dairy/Soy/Nuts

      

0.06

[0.02, 0.11]

2.60**

Animal source food

      

0.06

[0.01, 0.12]

2.22*

Condiments/Alcoholic beverages

      

0.07

[0.01, 0.14]

2.23*

R²

 

0.10***

 

0.17***

 

0.22***

  1. Note: * p < 0.05, ** p < 0.01, *** p < 0.001