Using a Smartphone Application to Promote Healthy Dietary Behaviours and Local Food Consumption

Table 3

Pearson’s correlations between food consumption and level of engagement with SmartAPPetite.

	Visits	New visits	Tips	Likes	Check-ins	Links
Fruit juice	−0.30^*	0.02	−0.30^*	−0.26^*	−0.35^*	−0.07
Soft drinks	−0.23^*	−0.06	−0.24^*	−0.34^*	−0.30^*	0.01
Diet soft drinks	−0.12	0.03	−0.13	−0.16	−0.24^*	−0.04
Caffeinated beverages	−0.09	0.01	−0.08	0.01	−0.04	−0.14
Fruit	0.01	0.06	0.02	0.10	0.03	−0.07
Vegetables	0.13	0.05	0.14	0.29^*	0.23^*	−0.08
Whole grains	0.00	−0.07	0.01	0.06	0.00	−0.10
Milk and dairy	−0.03	−0.18^*	−0.03	0.04	−0.07	−0.11
Milk alternatives	−0.13	−0.03	−0.13	−0.12	−0.10	−0.09
Fish	−0.01	−0.04	−0.01	−0.01	−0.01	−0.04
Red meat	−0.04	−0.10	−0.03	0.02	−0.06	−0.08
Eggs	−0.06	−0.11	−0.06	0.02	−0.05	−0.08
Poultry	−0.05	−0.12	−0.05	−0.01	−0.05	−0.05
Sugary foods	−0.08	−0.31^*	−0.08	−0.11	−0.13	−0.04
Fast food	−0.04	−0.14	−0.05	−0.08	−0.02	−0.07
Other restaurants	−0.03	0.02	−0.01	0.09	0.03	−0.05
Bakeries	−0.06	0.16	−0.05	−0.06	−0.01	−0.03
Prepared meals	−0.10	0.06	−0.10	−0.07	−0.07	−0.02
Homemade meals	0.06	0.01	0.07	0.23^*	0.17	−0.03
BMI	0.01	0.10	0.01	0.00	0.04	−0.08

Correlation is significant at the 0.05 level (2-tailed).