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Table 4 Prediction of self-perceived recovery by changes in psychological factors

From: Importance of psychological factors for the recovery from a first episode of acute non-specific neck pain - a longitudinal observational study

  B (SE) Exp B (Odds Ratio) 95 % CI Exp B p
Model 1: psychological factors as independent variables
PGIC 1 week ( N  = 75):
Nagelkerke R2 = 0.05; AUC = 0.62 (95 % CI 0.48–0.76; p = 0.119)
 BQ4: anxiety 0.07 (0.10) 1.07 0.88–1.29 0.488
 BQ5: depression 0.16 (0.13) 1.17 0.90–1.53 0.235
 BQ6: fear avoidance −0.06 (0.11) 0.95 0.76–1.17 0.603
 BQ7: locus of control 0.02 (0.08) 1.02 0.87–1.20 0.806
PGIC 1 month ( N  = 80):
Nagelkerke R2 = 0.71; AUC = 0.97 (95 % CI 0.94–1.00; p < 0.001)
 BQ4: anxiety 0.93 (0.31) 2.53 1.37–4.67 0.003
 BQ5: depression 0.44 (0.36) 1.56 0.77–3.15 0.218
 BQ6: fear avoidance 0.35 (0.28) 1.42 0.83–2.45 0.204
 BQ7: locus of control 0.09 (0.16) 1.09 0.79–1.50 0.598
PGIC 3 months ( N  = 75):
Nagelkerke R2 = 0.36; AUC = 0.90 (95 % CI 0.82–0.98; p < 0.001)
 BQ4: anxiety 0.30 (0.20) 1.35 0.92–1.99 0.123
 BQ5: depression −0.17 (0.18) 0.85 0.85 0.60–1.20 0.352
 BQ6: fear avoidance 0.02 (0.15) 1.02 0.76–1.37 0.074
 BQ7: locus of control 0.23 (0.13) 1.26 0.98–1.63 0.163
Model 2: signifiant factors of model 1 and age and baseline pain as independent variables
PGIC 1 week ( N  = 77):
Nagelkerke R2 = 0.001; AUC = 0.52 (95 % CI 0.39–0.66; p = 0.763
 Age −0.001 (0.02) 1.00 1.44–3.54 <0.001
 Pain at baseline 0.03 (0.14) 0.97 0.74–1.28 0.841
PGIC 1 month ( N  = 83):
Nagelkerke R2 = 0.57; AUC = 0.92 (95 % CI 0.85–0.99; p < 0.001)
 BQ 4: anxiety 0.81 (0.23) 2.26 1.44–3.54 <0.001
 Age −0.01 (0.03) 1.00 0.95–1.05 0.851
 Pain at baseline 0.16 (0.21) 1.17 0.77–1.78 0.454
PGIC 3 months ( N  = 82):
Nagelkerke R2 = 0.12; AUC = 0.75 (95 % CI 0.63–0.86; p = 0.009)
 Age −0.04 (0.02) 0.96 0.92–1.01 0.111
 Pain at baseline −0.27 (0.19) 0.76 0.53–1.10 0.152
  1. Logistic regressions with PGIC (0 = not improved, 1 = improved) of each time point as dependent variable and the changes in the psychological factors as independent variables. Multicollinearity diagnostics model 1/model 2: Tolerance: 0.42-0.83/0.85-0.97, VIF: 1.20-2.38/1.00-1.18. Numbers in bold indicate significant results.
  2. AUC area under the receiver operating curve
  3. BQ Bournemouth questionnaire
  4. PGIC patient global impression of change