Skip to main content

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

Ā 

School attendancea

Full participation PECb

Sports frequencyc

B

p

SE

B

p

SE

B

p

95%CI

Gender

Ā Ā Ā 

āˆ’1.83

.15

1.26

Ā Ā Ā 

Age

-.35

.11

.22

āˆ’1.29

.04

.64

Ā Ā Ā 

Dis act

-.06

.87

.37

āˆ’1.53

.06

.81

Ā Ā Ā 

Medication

-.20.4

1.0

8.6x103

āˆ’3.31

.04

1.62

-.43

.21

āˆ’1.13; .25

Disab. c

-.13

.88

.85

āˆ’4.90

.02

2.06

Ā Ā Ā 

Painc

-.32

.02

.14

-.69

.02

.29

Ā Ā Ā 

FatigueRc

-.09

.75

.03

.14

.04

.07

-.03

.01

-.05; āˆ’.01

ECc

Ā Ā Ā 

.02

.03

.01

Ā Ā Ā 

SESYMpTOMc

Ā Ā Ā 

.03

.25

1.34

Ā Ā Ā 

SEACTIVITYc

Ā Ā Ā 

.12

.15

2.05

Ā Ā Ā 

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); cR2ā€‰=ā€‰.10 Multilevel regression analysis. Participation: 1ā€‰=ā€‰total participation; School attendance, 1ā€‰=ā€‰full attendance during the previous 3Ā months; gender: 1ā€‰=ā€‰male; medication: 1ā€‰=ā€‰yes; dis actā€‰=ā€‰disease activity; diasb. disability, fatigue R reversed fatigue scale, EC exercise capacity. SE self-efficacy, est estimate, c centered values