Table 4.
Linear regression analysis between demographic variables and Attitudes sub-score
| Attitudes sub-score | |||
|---|---|---|---|
| β | 95% C.I. | P -value | |
| Demographic variables | |||
| Age | |||
| 20–39 years | Ref | ||
| 40–59 years | -0.03 | -0.23, 0.17 | 0.774 |
| 60 + years | 0.26 | -0.07, 0.58 | 0.119 |
| Years in practice | |||
| 0–5 years | Ref | ||
| 6–10 years | -0.10 | -0.26, 0.06 | 0.239 |
| 11–15 years | -0.21 | -0.40, -0.02 | 0.028* |
| 16 + years | -0.11 | -0.36, 0.14 | 0.400 |
| Research hours spent per week (ref: none) | 0.21 | 0.07, 0.35 | 0.004* |
| Clinical setting | |||
| Solo | Ref | ||
| w/chiropractors | 0.10 | -0.12, 0.31 | 0.385 |
| w/conventional health providers | 0.14 | -0.06, 0.33 | 0.173 |
| w/CM | -0.10 | -0.43, 0.24 | 0.581 |
| w/CM and conventional health providers | 0.05 | -0.16, 0.26 | 0.611 |
| Education | |||
| England | Ref | ||
| Denmark | 0.00 | -0.15, 0.16 | 0.970 |
| USA | -0.26 | -0.44, -0.07 | 0.007* |
| Australia | 0.10 | -0.09, 0.29 | 0.324 |
*Statistically significant, p-value < 0.05