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

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

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
Label^a	β = − 0.15, p = 0.04	Label^a	β = − 0.10, p = 0.09	Label^a x usual FV consumption	β = 0.34, p < 0.01	Label^a x Gender^b	β = − 0.17, p < 0.01
		Usual FV consumption	β = 0.56, p < 0.01	Gender^b	β = − 0.23, p < 0.01	Usual FV consumption	β = 0.57, p < 0.01
		Gender^b	β = − 0.18, p < 0.01
Subsequent fruit consumption
Label^a	β = − 0.10, p = 0.18	Label^a	β = − 0.06, p = 0.38	Label^a x usual FV consumption	β = 0.28, p < 0.01	Label^a x Gender^b	β = − 0.14, p = 0.03
		Usual FV consumption	β = 0.45, p < 0.01	Gender^b	β = − 0.22, p < 0.01	Usual FV consumption	β = 0.46, p < 0.01
		Gender^b	β = − 0.19, p < 0.01
Subsequent vegetable consumption
Label^a	β = − 0.19, p = 0.01	Label^a	β = − 0.14, p = 0.02	Label^a x usual FV consumption	β = 0.34, p < 0.01	Label^a x Gender^b	β = − 0.21, p < 0.01
		Usual FV consumption	β = 0.53, p < 0.01	Gender^b	β = − 0.21, p < 0.01	Usual FV consumption	β = 0.54, p < 0.01
		Gender^b	β = − 0.16, p = 0.01

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