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Table 2 Course of outcome measures in patients with chronic LBP at end of program, 6- and 18-month follow-up

From: Recovering the capability to work among patients with chronic low Back pain after a four-week, multidisciplinary biopsychosocial rehabilitation program: 18-month follow-up study

  Baseline (n = 201) End of program (n = 160) 6-month (n = 127) 18-month (n = 107) Coefficient (95% CI) p-value
Work status (recovered work capability, n (%)   39 (24.4%) 72 (56.7%) 84 (78.5%)   
COMI pain: M (SD) 6.2 (1.7) 5.7 (2.0) 4.9 (2.4) 4.9 (2.7) −0.32 (−0.42; −0.23) <  0.01**
COMI function: M (SD) 6.3 (2.1) 5.0 (2.3) 4.5 (2.6) 4.6 (3.0) −.035 (− 0.47; − 0.25) <  0.01**
COMI sQoL: M (SD) 8.6 (2.0) 7.4 (2.6) 6.5 (2.6) 6.1 (3.1) −0.60 (− 0.72; − 0.48) <  0.01**
COMI gQoL: M (SD) 5.8 (1.8) 5.0 (1.9) 5.0 (2.7) 4.6 (2.6) −0.23 (− 0.34; − 0.14) <  0.01**
COMI dis: M (SD) 6.4 (3.2) 5.0 (3.5) 3.8 (3.7) 3.1 (3.6) −0.80 (− 0.96; − 0.63) <  0.01**
COMI total: M (SD) 6.7 (1.5) 5.6 (1.9) 4.9 (2.3) 4.8 (2.6) −0.44 (− 0.53; − 0.35) <  0.01**
ODI disability: M (SD) 41.0 (13.3) 34.3 (16.2) 30.8 (17.8) 30.7 (19.8) −2.15 (−2.76; −1.54) <  0.01**
TSK: M (SD) 43.5 (7.7) 39.0 (8.8) 37.8 (9.2) 39.5 (10.3) −0.97 (−1.35; − 0.58) <  0.01**
HADS depression: M (SD) 8.7 (3.9) 6.5 (4.2) 6.9 (4.5) 6.3 (4.4) −0.38 (− 0.55; − 0.21) <  0.01**
HADS anxiety: M (SD) 9.8 (3.7) 8.5 (3.8) 8.7 (4.5) 8.5 (4.0) −0.25 (− 0.40; − 0.10) <  0.01**
SF-12 PCS: M (SD) 32.9 (7.6) 37.6 (9.1) 39.3 (10.8) 39.1 (11.6) 1.57 (1.06; 2.10) <  0.01**
SF-12 MCS: M (SD) 38.3 (11.1) 46.2 (10.1) 43.1 (13.4) 41.6 (12.1) 0.66 (−0.01; 1.33) 0.051
  1. COMI Core Outcome Measure Index, sQol symptom-related Quality of Life, gQol general Quality of Life, ODI Oswestry Disability Index (range 0–100), TSK Tampa Scale for Kinesiophobia (range 17–68), HADS Hospital Anxiety and Depression Scale (range 0–21), SF-12 Medical Outcome Study Short-Form Health Survey, PCS physical quality of life (range 0–100), MCS mental quality of life (range 0–100)
  2. P values were obtained using multivariable linear mixed models