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Table 3 Results of the linear regression analysis and post-hoc tests for type of feedback

From: Sensor-based postural feedback is more effective than conventional feedback to improve lumbopelvic movement control in patients with chronic low back pain: a randomised controlled trial

Linear regression Post-hoc multiple comparisons for type of FB
Fixed effects p-value Comparison Estimated differences between groups (95% CI) p-value
Waiter’s bow
 Initial model
  Health status 0.09    
  Type of FB < 0.0001    
  Joint 0.01    
  Baseline score kinematics 0.06    
  Health status*type of FB 0.61    
  Health status*Joint 0.71    
  Type of FB*Joint 0.94    
 Final model
  Type of FB < 0.0001 Mirror minus Control 0.6 (− 3.1 to 4.4) 0.91
  Joint 0.04 Sensor minus Control 10.6 (6.8 to 14.3) < 0.0001a
  Sensor minus Mirror 9.9 (6.1 to 13.7) < 0.0001a
Lifting task
 Initial model
  Health status 0.20    
  Type of FB < 0.0001    
  Joint 0.029    
  Baseline score kinematics 0.003    
  Health status*type of FB 0.65    
  Health status*Joint 0.44    
  Type of FB*Joint 0.57    
 Final model
  Type of FB < 0.0001 Mirror minus Control −0.3 (− 3.7 to 3.0) 0.97
  Joint 0.02 Sensor minus Control 6.9 (3.5 to 10.2) < 0.0001a
  Baseline score kinematics 0.002 Sensor minus Mirror 7.2 (3.8 to 10.6) < 0.0001a
  1. FB Feedback, Health status healthy of CLBP, Joint lumbar spine or hip, Type of FB sensor, mirror or control
  2. ain favour of the sensor group