Table 2.

Predictors of Typical mHealth Use for Personal Health Promotion Among Participants

Step Entered	B	SE	β	t	P	Low CI	High CI
Step 1
Gender	−0.08	0.33	−.01	−0.23	.816	−0.72	0.58
Age	0.00	0.01	−.02	−0.31	.753	−0.03	0.02
Race	0.12	0.24	.02	0.51	.611	−0.30	0.65
Class level	−0.22	0.27	−.05	−0.81	.416	−0.72	0.36
BMI	0.01	0.02	.03	0.64	.520	−0.38	0.42
Step 2 (Δ r2 = .08)
Gender	−0.46	0.33	−.07	−1.41	.159	−1.13	0.16
Age	0.01	0.01	.03	0.45	.650	−0.02	0.04
Race	0.13	0.23	.03	0.55	.583	−0.27	0.64
Class level	−0.20	0.27	−.05	−0.76	.446	−0.68	0.38
BMI	0.00	0.02	.00	0.07	.944	−0.55	0.25
Willap-general health	1.31	0.49	.19	2.66	.008	0.17	2.14
Willap-healthy meals	−0.61	0.42	−.10	−1.45	.148	−1.35	0.34
Willap-control weight	0.35	0.41	.06	0.86	.392	−0.40	1.23
Willap find healthy foods	0.80	0.37	.13	2.15	.032	0.00	1.47
Willap-mental health	0.64	0.25	.13	2.58	.010	0.19	1.17
Text nudging	−0.58	0.23	−.13	−2.49	.013	−1.05	−0.12
Step 3 (Δ r2 = 0.02)
Gender	−0.46	0.32	−.07	−1.42	.158	−1.11	0.17
Age	0.00	0.01	.02	0.32	.747	−0.02	0.03
Race	0.14	0.23	.03	0.62	.538	−0.27	0.64
Class level	−0.12	0.27	−.03	−0.45	.656	−0.61	0.45
BMI	0.00	0.02	.01	0.19	.851	−0.50	0.29
W-general health	1.36	0.49	.20	2.77	.006	0.22	2.18
W-healthy meals and snacks	−0.58	0.41	−.09	−1.39	.164	−1.32	0.36
W-control weight	0.36	0.41	.06	0.88	.379	−0.39	1.23
W-find healthy foods	0.81	0.37	.13	2.19	.029	0.03	1.49
W-mental health	0.60	0.25	.13	2.42	.016	0.16	1.14
Text nudging	−0.59	0.23	−.13	−2.53	.012	−1.06	−0.14
Hope	0.58	0.18	.21	3.16	.002	0.16	0.89
Flourishing	−0.20	0.20	−.06	−1.00	.318	−0.57	0.21
General self-efficacy	−0.19	0.29	−.04	−0.66	.509	−0.76	0.38

Abbreviations: B, unstandardized regression coefficient; β, standardized regression coefficient; CI, 95% confidence interval of the unstandardized regression coefficient B; SE, unstandardized standard error; W, willingness to use an mHealth application.

Note: Class level (0 = undergraduate, 1 = graduate); race (0 = majority, 1 = minority). Missing values were excluded listwise for a sample of 464. Statistically significant predictors are displayed in bold. Willap is a dichotomous (yes/no) survey questions based on the participants willingness to use an mHealth application for a specific healthcare reason (i.e. to find healthy meals).