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Table 4 Beta co-efficients and their significance in all regression analyses, predicting subsequent FV consumption, fruit consumption and vegetable consumption (N = 194)

From: 5-a-day fruit and vegetable food product labels: reduced fruit and vegetable consumption following an exaggerated compared to a modest label

Model 1

Model 2

Model 3

Model 4

Predictors

Beta value, significance

Predictors

Beta value, significance

Predictor

Beta value, significance

Predictors

Beta value, significance

Subsequent FV consumption

Labela

β = − 0.15, p = 0.04

Labela

β = − 0.10, p = 0.09

Labela x usual FV consumption

β = 0.34, p < 0.01

Labela x Genderb

β = − 0.17, p < 0.01

 

Usual FV consumption

β = 0.56, p < 0.01

Genderb

β = − 0.23, p < 0.01

Usual FV consumption

β = 0.57, p < 0.01

Genderb

β = − 0.18, p < 0.01

  

Subsequent fruit consumption

Labela

β = − 0.10, p = 0.18

Labela

β = − 0.06, p = 0.38

Labela x usual FV consumption

β = 0.28, p < 0.01

Labela x Genderb

β = − 0.14, p = 0.03

 

Usual FV consumption

β = 0.45, p < 0.01

Genderb

β = − 0.22, p < 0.01

Usual FV consumption

β = 0.46, p < 0.01

Genderb

β = − 0.19, p < 0.01

  

Subsequent vegetable consumption

Labela

β = − 0.19, p = 0.01

Labela

β = − 0.14, p = 0.02

Labela x usual FV consumption

β = 0.34, p < 0.01

Labela x Genderb

β = − 0.21, p < 0.01

 

Usual FV consumption

β = 0.53, p < 0.01

Genderb

β = − 0.21, p < 0.01

Usual FV consumption

β = 0.54, p < 0.01

Genderb

β = − 0.16, p = 0.01

  
  1. aLabel variable – ‘1 of your 5-a-day’ label vs ‘3 of your 5-a-day’ label, coded 1 and 3 respectively
  2. bGender variable – female vs male, coded 1 and 2 respectively