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Table 5 Prediction models for participation in PEC, school attendance, and sports frequency

From: Fatigue in patients with Juvenile Idiopathic Arthritis: relationship to perceived health, physical health, self-efficacy, and participation

  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
  1. 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