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Table 2 Regression Analysis for CPDQS and Its Components Predicting SWB (Study 1)

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

Gender

0.01

[-0.11, 0.11]

0.07

 

-0.02

[-0.15, 0.06]

-0.90

 

-0.02

[-0.15, 0.06]

-0.80

Age(y)

0.04

[-0.02, 0.07]

1.26

 

0.04

[-0.01, 0.07]

1.44

 

0.04

[-0.01, 0.08]

1.55

BMI

-0.02

[-0.02, 0.10]

-0.77

 

-0.02

[-0.02, 0.01]

-0.63

 

-0.02

[-0.02, 0.01]

-0.62

Registered residence

0.04

[-0.04, 0.19]

1.30

 

0.04

[-0.04, 0.18]

1.26

 

0.13

[-0.03, 0.20]

1.43

CPDQS

    

0.24

[0.19, 0.30]

9.47***

    

Cereals/Tubers

        

0.07

[0.01, 0.14]

2.26***

Vegetables/Fruits

        

0.12

[0.05, 0.19]

3.37**

Dairy/Soy/Nuts

        

0.11

[0.04, 0.18]

3.07**

Animal source food

        

-0.01

[-0.08, 0.06]

-0.35

Condiments/Alcoholic beverages

        

0.08

[0.03, 0.14]

3.15**

R²

0.01

 

0.06***

 

0.06***

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