Table 3.

Logistic regression predicting mobile app use

	B	S.E.	Sig.	Exp(B)	95% C.I. for EXP(B)
					Lower	Upper
Block 1
Gender	0.65	0.28	0.01	1.96	1.11	3.36
Age	0.00	0.02	0.99	1.00	0.96	1.04
Income	0.09	0.16	0.57	1.09	0.81	1.48
Education	− 0.06	0.20	0.75	0.94	0.64	1.38
BMI	− 0.04	0.02	0.09	0.96	0.91	1.01
Smartphones skill	0.40	0.06	0.00	1.49	1.31	1.68
Intensity of website activity	0.17	0.14	0.22	1.19	0.90	1.56
Frequency of website visits	0.25	0.11	0.02	1.29	1.04	1.60
Block 2
Excessive exercise	0.25	0.12	0.03	1.29	1.02	1.63
Drive for thinness	0.08	0.10	0.42	1.08	0.89	1.31
Sensation seeking	− 0.11	0.13	0.42	0.90	0.69	1.17
Neuroticism	0.08	0.09	0.37	1.08	0.91	1.28
Block 1 Nagelkerke R = 0.20	Total Nagelkerke R = 0.22