Table 3.
The relationships between demographics and solutions using logistic regression.
| 95% CI for OR |
|||||||
|---|---|---|---|---|---|---|---|
| Demographics | Β | SE | Wald | OR | P | LL | UL |
| Malesa | −.308 | .65 | .22 | .735 | .637 | .204 | 2.648 |
| Other nurse typeb | .786 | .60 | 1.69 | 2.194 | .194 | .671 | 7.172 |
| Switch jobs | −1.194 | .52 | 5.33 | .303 | .021 | .110 | .835 |
| Age | −.129 | .20 | .42 | .879 | .517 | .595 | 1.299 |
| Hours worked before pain | .163 | .07 | 5.03 | 1.177 | .025 | 1.021 | 1.357 |
Note. Shoes and/or socks change was compared with shoe change (as a reference) in outcome measures. χ2(5) = 11.09, p = .05, Nagelkerke R2 = 0.134. aCompared with females; bCompared with RN; cCompared with not switching jobs. OR, odds ratio; LL, lower limits; UL, upper limits.