Table 5. Significant variables associated with technophobia toward digital health technologies among older patients with stroke in the multivariable linear regression model (N=343)a. Only variables statistically significant at P<.05 are shown. The complete multivariable linear regression results are provided in Multimedia Appendix 2.
| Variable | B b | SE | βc | t test (df) | 95% CI | P value |
|---|---|---|---|---|---|---|
| Intercept | 75.01 | 5.04 | N/Ad | 14.89 (316) | 65.09 to 84.92 | <.001 |
| Monthly per capita household income (RMBe) | ||||||
| 5000–6999e | −3.60 | 1.44 | −0.16 | −2.49 (316) | −6.44 to −0.76 | .01 |
| Frequency of digital health technology use | ||||||
| Occasionally | −3.98 | 1.50 | −0.19 | −2.65 (316) | −6.94 to −1.03 | .008 |
| eHealth literacy | −0.45 | 0.07 | −0.38 | −6.82 (316) | −0.58 to −0.32 | <.001 |
| Perceived social support | −0.35 | 0.03 | −0.49 | −10.63 (316) | −0.42 to −0.29 | <.001 |
| Stroke self-efficacy | −0.08 | 0.03 | −0.13 | −2.60 (316) | −0.13 to −0.02 | .01 |
a
R=0.83, R²=0.69, adjusted R²=0.66, F=26.87, P<.001.
b
B indicates unstandardized regression coefficient.
c
β indicates standardized regression coefficient.
d
N/A: not applicable.
e
RMB: Renminbi (Chinese yuan); RMB 1=US $0.14 as of January 29, 2026.