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Table3 Multivariate linear regression analysis on the association of dietary factors with serum 25(OH)D3 levels (n = 1,667)

From: Diet, physical activity, and UV protection comprehensively influenced vitamin D status in college students: a cross-section study from China

Food items

β value

Standard β value

P value

Refined rice, steamed

 < 200 g /d

Ref

Ref

Ref

 ≥ 200 g /d

0.03

0.04

0.09

Refined rice, porridge

 < 50 g /d

Ref

Ref

Ref

 ≥ 50 g /d

0.05

0.02

0.34

Refined wheat products

 < 50 g /d

Ref

Ref

Ref

 ≥ 50 g /d

− 0.01

− 0.02

0.47

Desserts

 < 25 g /d

Ref

Ref

Ref

 ≥ 25 g /d

− 0.007

− 0.01

0.72

Whole grains

 < 25 g /d

Ref

Ref

Ref

 ≥ 25 g /d

0.02

0.03

0.35

Tubers

 < 25 g /d

Ref

Ref

Ref

 ≥ 25 g /d

− 0.005

− 0.007

0.77

Milk and yogurt

 < 200 mL /d

Ref

Ref

Ref

 ≥ 200 mL /d

0.05

0.08

0.002

Eggs

 < 50 g /d

Ref

Ref

Ref

 ≥ 50 g /d

0.01

0.02

0.45

Livestock meat

 < 100 g /d

Ref

Ref

Ref

 ≥ 100 g /d

− 0.001

− 0.002

0.94

Poultry meat

 < 50 g /d

Ref

Ref

Ref

 ≥ 50 g /d

− 0.01

− 0.02

0.46

River fish, shrimp and crab

 < 25 g /d

Ref

Ref

Ref

 ≥ 25 g /d

0.03

0.04

0.14

Sea fish, shrimp and crab

 < 25 g /d

Ref

Ref

Ref

 ≥ 25 g /d

− 0.02

− 0.03

0.37

Soybeans and Soy products

 < 25 g /d

Ref

Ref

Ref

 ≥ 25 g /d

0.01

0.02

0.50

Nuts and seeds

 < 10 g /d

Ref

Ref

Ref

 ≥ 10 g /d

− 0.01

− 0.02

0.55

Dark vegetables

 < 100 g /d

Ref

Ref

Ref

 ≥ 100 g /d

0.001

0.002

0.95

Light color vegetables

 < 50 g /d

Ref

Ref

Ref

 ≥ 50 g /d

− 0.003

− 0.005

0.86

Mushrooms

 < 25 g /d

Ref

Ref

Ref

 ≥ 25 g /d

− 0.02

− 0.03

0.25

Fruits

 < 100 g /d

Ref

Ref

Ref

 ≥ 100 g /d

0.03

0.05

0.07

Puffed foods

 < 25 g /d

Ref

Ref

Ref

 ≥ 25 g /d

0.003

0.004

0.87

Candy

 < 10 g /d

Ref

Ref

Ref

 ≥ 10 g /d

− 0.04

− 0.05

0.048

Sugary drinks

 < 100 mL /d

Ref

Ref

Ref

 ≥ 100 mL /d

− 0.03

− 0.04

0.16

Taken calcium or vitamin D supplements within 3 months

No

Ref

Ref

Ref

Yes

0.07

0.05

0.03

  1. Multivariate linear regression analysis model was used, adjusted for age, gender and total energy intake