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. 2009 Sep 18;19(4):323–332. doi: 10.1007/s10926-009-9198-8

Table 2.

Predictors of RTW in 3 models: (1) prediction of RTW at T1 using baseline data; (2) prediction of RTW at T2 using baseline data; (3) prediction of RTW at T2 in those who had not yet resumed work at T1, using data gathered at T0 and T1

P Wald OR 95% CI
Prediction of RTW at T1 using baseline data, N = 185
Problems started > 3 months before T0 0.006 7.588 0.395 0.204–0.765
Own prediction of sick leave duration < 6 weeks 0.042 4.143 2.278 1.031–5.035
Contact OP in past 4 weeks 0.036 4.407 0.489 0.251–0.954
4DSQ somatisation score at T0 0.008 7.102 0.926 0.876–0.980
Constant 0.017 5.700 2.974
Prediction of RTW at T2 using baseline data, N = 175

Treatment condition

(GP = 0; social work = 1)

0.159 1.982 0.573 0.264–1.244
Problems started > 3 months before T0 0.001 11.667 0.275 0.131–0.577
Absenteeism > 3 weeks at T0 0.010 6.555 0.384 0.185–0.799
Attributes cause of absenteeism to family problems 0.024 5.129 0.204 0.052–0.808
Interaction effect: attribution cause of absenteeism to family problems × treatment condition 0.016 5.808 10.440 1.550–70.341
Contact physical therapist in past 4 weeks 0.162 1.953 5.542 0.502–61.206
Interaction effect: contact physical therapist in past 4 weeks × treatment condition 0.048 3.919 0.050 0.003–0.971
4DSQ anxiety score at T0 0.022 5.269 0.902 0.826–0.985
Constant 0.000 21.550 10.885
Prediction of RTW at T2 in those who had not yet resumed work at T1, N = 115
Absenteeism > 3 weeks at T0 0.016 5.767 0.335 0.137–0.818
4DSQ depression score at T1 0.020 5.440 0.738 0.572–0.953
Constant 0.213 1.551 1.431

Logistic regression analyses, manual backwards selection. Presented are the final models