Table 5.
Binary logistic regression (N = 473) | |
---|---|
First step: Nagelkerke R 2 | 6.2 |
Second step: Nagelkerke R 2 | 8.8 |
Third step: Nagelkerke R 2 | 25.9 |
Variables (third step) | Wald | p | Odds ratio | 95% confidence interval |
---|---|---|---|---|
Age | 2.980 | .084 | 1.024 | 0.997–1.052 |
Level of educationa | 7.437 | .006 | 0.521 | 0.326–0.832 |
Diagnostic subgroup: secondary progressiveb | 0.150 | .699 | 1.137 | 0.594–2.174 |
Time since the first MS symptoms | 1.740 | .187 | 1.031 | 0.985–1.079 |
Time since MS diagnosis | 0.936 | .333 | 0.976 | 0.928–1.026 |
Consequences | 5.175 | .023 | 1.202 | 1.026–1.408 |
Personal control | 0.016 | .899 | 0.993 | 0.886–1.112 |
Treatment control | 24.139 | <.001 | 1.298 | 1.170–1.440 |
Identity | 2.043 | .153 | 1.124 | 0.958–1.319 |
Concern | 0.720 | .396 | 1.051 | 0.937–1.180 |
Coherence | 1.673 | .196 | 1.069 | 0.966–1.182 |
Emotional response | 0.002 | .969 | 1.002 | 0.897–1.120 |
Level of education: 1 = higher (technical college qualification or university qualification).
Diagnostic subgroup: secondary progressive: 1 = yes.