Table 4.
Multivariate logistic regression analysis for the predictors of mobile technology usage.
| Model 1: MD+PAT vs. MDnoPAT |
Model 2: MDnoPAT vs. NoMD |
|||||||
|---|---|---|---|---|---|---|---|---|
| Predictor | b (SE) | OR | 95% CI | p-value | b (SE) | OR | 95% CI | p-value |
| Constant | −1.36 (.76) | 3.41 (.67) | ||||||
| Age | −.02 (.01) | .98 | [.96, .99] | .037 | −.08 (.01) | .92 | [.91, .94] | <.001 |
| Gender: Male (ref. female) | .37 (.18) | 1.45 | [.49, .98] | .037 | .01 (.17) | .99 | [.70, 1.39] | .987 |
| Education: Secondary school (ref. obligatory school) | .12 (.27) | 1.13 | [.66, 1.94] | .651 | .73 (.21) | 2.07 | [1.37, 3.12] | <.001 |
| Education: Tertiary education (ref. obligatory school) | .06 (.30) | 1.06 | [.59, 1.90] | .835 | .91 (.26) | 2.48 | [1.48, 4.15] | <.001 |
| Interest in new technology | .29 (.07) | 1.34 | [1.16, 1.55] | <.001 | .31 (.06) | 1.36 | [1.20, 1.54] | <.001 |
| Exercise: Several times a month to once a week(ref. never or less than several times a month) | 1.13 (.37) | 3.08 | [1.51, 6.30] | .002 | .10 (.28) | 1.11 | [.64, 1.91] | .708 |
| Exercise: Daily/several times a week (ref. never or less than several times a month) | .93 (.34) | 2.52 | [1.29, 4.94] | .007 | .32 (.23) | 1.37 | [.87, 2.15] | .171 |
| Satisfaction with personal health | −.16 (.09) | .86 | [.71, 1.03] | .099 | .25 (.08) | 1.29 | [1.10, 1.51] | .002 |
| Model χ2 | 43.14 [8], p < .001 | 187.61 [8], p < .001 | ||||||
| Nagelkerke R2 | .08 | .29 | ||||||
| n | 709 | 795 | ||||||
Note: b = logits. SE = standard errors. OR = odds ratios. 95% CI = 95% confidence interval for odds ratios. Missing data was excluded listwise.