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

Table 3.

Logistic regression coefficients predicting health attitudes following the use of mobile health apps.

Variables affecting health attitudes				B		SE		Wald		Significance (P value)		Explained (B)
Approach regarding a health concern
	Mobile health apps’ use
		Number of health apps = −1	−0.448^a		0.112		16.046		<.001		0.639
		Number of health apps = +1	0.247		0.174		2.006		.16		1.280
		Updates frequency	1.40^a		0.128		120.447		<.001		4.054
	Socioeconomic factors
		Sex: 1=male	0.000		0.006		0.004		.95		1.000
		Married or cohabitation	0.772^a		0.126		37.351		<.001		2.163
		Parenthood	0.034		0.035		0.961		.33		1.035
		Education	0.048		0.152		0.099		.75		1.049
		Income	−0.155^a		0.037		17.252		<.001		0.857
Decision regarding a health concern
	Mobile health apps’ use
		Number of health apps = −1	−0.801^a		0.138		33.804		<.001		0.449
		Number of health apps = +1	0.794^a		0.170		21.787		<.001		2.212
		Updates frequency	−0.164		0.127		1.664		.197		0.849
	Socioeconomic factors
		Sex: 1=male	0.009		0.006		2.420		.12		1.010
		Married or cohabitation	0.417^a		0.128		10.562		.001		1.518
		Parenthood	0.054		0.036		2.253		.13		1.055
		Education	0.232		0.157		2.184		.14		1.261
		Income	−0.120^a		0.039		9.749		.002		0.887
Consulting regarding a health concern
	Mobile health apps’ use
		Number of health apps = −1	0.197		0.112		3.071		.08				1.217
		Number of health apps = +1	1.749^a		0.174		100.893		<.001				5.748
		Updates frequency	−0.348^a		0.125		7.762		.005				0.706
	Socioeconomic factors
		Sex: 1=male	−0.008		0.006		1.580		.21				0.992
		Married or cohabitation	−0.195		0.126		2.381		.12				0.823
		Parenthood	0.056		0.035		2.589		.11				1.058
		Education	−0.048		0.156		0.094		.76				0.953
		Income	−0.142^a		0.038		14.036		<.001				0.867

^aP<.001.