Table 3.

Multiple linear regression analysis used to identify the factors provided by the antiobesity program with mHealth and clinical variables associated with weight change and fat mass change.

Variables		Weight change			Fat mass change
		Beta coefficient	SE	P value	Beta coefficient	SE	P value
Model 1a,b
	Age	.06	0.03	.04	.05	0.03	.07
	Sex	—c	—	—	1.08	0.65	.10
	ΔMETd	−.0009	0.0003	<.001	−.0009	0.0003	<.001
	Total counts using a mobile appe	−.005	0.001	<.001	−.005	0.001	<.001
Model 2f,g
	Age	.07	0.04	.06	.06	0.03	.03
	Sex	—	—	—	1.16	0.64	.08
	ΔMET	−.0009	0.0005	.10	−.0009	0.0003	<.001
	Number of articles reads	−.01	0.006	.04	−.02	0.004	<.001
	Number of weight records	−.05	0.03	.10	—	—	—

^aWeight change R²=0.3936.

^bFat mass change R²=0.3559.

^cNot applicable.

^dMET: metabolic equivalent.

^eTotal counts using a mobile app is the sum of diet records, exercise records, weight records, all in-app group records, number of messages, and number of articles read.

^fWeight change R²=0.4843.

^gFat mass change R²=0.3728.