Table 5.
Prediction models for participation in PEC, school attendance, and sports frequency
| School attendancea | Full participation PECb | Sports frequencyc | |||||||
|---|---|---|---|---|---|---|---|---|---|
| B | p | SE | B | p | SE | B | p | 95%CI | |
| Gender | −1.83 | .15 | 1.26 | ||||||
| Age | -.35 | .11 | .22 | −1.29 | .04 | .64 | |||
| Dis act | -.06 | .87 | .37 | −1.53 | .06 | .81 | |||
| Medication | -.20.4 | 1.0 | 8.6x103 | −3.31 | .04 | 1.62 | -.43 | .21 | −1.13; .25 |
| Disab. c | -.13 | .88 | .85 | −4.90 | .02 | 2.06 | |||
| Painc | -.32 | .02 | .14 | -.69 | .02 | .29 | |||
| FatigueRc | -.09 | .75 | .03 | .14 | .04 | .07 | -.03 | .01 | -.05; −.01 |
| ECc | .02 | .03 | .01 | ||||||
| SESYMpTOMc | .03 | .25 | 1.34 | ||||||
| SEACTIVITYc | .12 | .15 | 2.05 | ||||||
| Est | 21.0 | .99 | 8.6x103 | 4.34 | .01 | 1.58 | 1.96 | <.01 | 1.37;2.56 |
aR2 Nagelkerke .46 (logistic regression); bR2Nagelkerke .82 (logistic regression); cR2 = .10 Multilevel regression analysis. Participation: 1 = total participation; School attendance, 1 = full attendance during the previous 3 months; gender: 1 = male; medication: 1 = yes; dis act = disease activity; diasb. disability, fatigue R reversed fatigue scale, EC exercise capacity. SE self-efficacy, est estimate, c centered values