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. 2021 Apr 22;8(2):e21251. doi: 10.2196/21251

Table 4.

Logistic regression coefficients predicting lifestyle and health management behaviors following the use of mobile health apps.

Characteristics		Lifestyle behavior						Health management behavior
		B	SE	Wald	Significance (P values)	Explained (B)	B		SE	Wald	Significance (P values)	Explained (B)
Mobile health app use
	Number of mobile apps = −1	−0.863^a	0.187	21.295	<.001	0.422	0.220		0.124	3.154	.08	1.246
	Number of mobile apps = +1	−1.827^a	0.330	30.725	<.001	0.161	0.042		0.200	0.044	.83	1.043
	Frequency of updates	2.099^a	0.267	61.795	<.001	8.162	0.513		0.145	12.532	<.001	1.670
Health attitudes
	Approach	1.493^a	0.263	32.110	<.001	4.450	0.230		0.155	2.189	.14	1.258
	Decision	0.865^a	0.283	9.333	.002	2.374	0.914		0.155	34.915	<.001	2.494
	Consulting	2.713^a	0.322	70.820	<.001	15.07	0.481		0.154	9.796	.002	1.618
Socioeconomic effects
	Age	−0.070^a	0.011	44.445	<.001	0.932	0.042		0.007	35.855	<.001	1.043
	Sex: 1=male	−01.736^a	0.244	50.567	<.001	0.176	−0.406		0.143	8.094	.004	0.666
	Married: 1=yes	−0.043	0.060	0.516	.47	0.958	0.238		0.039	36.962	<.001	1.269
	Parent: 1=yes	−0.144	0.250	0.332	.56	0.866	0.595		0.171	12.175	<.001	1.813
	Education	0.641^a	0.069	85.811	<.001	1.898	−0.094		0.042	4.944	.03	0.911
	Income	0.002	0.003	0.290	.59	1.002	0.002		0.002	0.618	.43	1.002
Situational effects
	Chronic disease	−1.35^a	0.239	32.221	<.001	0.257	1.007		0.142	50.471	<.001	2.737
	Emergency	−1.842^a	0.602	9.367	.002	6.312	−1.012		0.280	13.101	<.001	0.363
	Health crisis	−0.751^a	0.343	4.795	.03	0.472	1.086		0.208	27.256	<.001	2.962
	Health change	−0.699^a	0.254	7.583	.006	0.497	−0.679		0.168	16.290	<.001	0.507

^aP<.001.