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Table 2 Univariate and Multivariate linear regression model demonstrating significant associations (p < 0.05) between individual angles, combined posture and covariates (weight, height and BMI)

From: The spinal posture of computing adolescents in a real-life setting

  Covariates Estimate SE t - value p value
Head flexion Weight 0.09 0.04 2.07 0.040*
  Height 14.62 6.52 2.24 0.026*
  BMI 0.15 0.15 1.02 0.311
Neck flexion Weight 0.20 0.04 5.50 0.0001*
  Height 20.17 5.68 3.55 0.001*
  BMI 0.57 0.13 4.55 0.0001*
Cranio-cervical angle Weight 0.10 0.04 2.54 0.012*
  Height 4.27 6.15 0.69 0.488
  BMI 0.41 0.14 3.03 0.003*
Trunk flexion-binary Weight -0.01 0.01 -0.09 0.930
  Height -4.31 2.24 -1.92 0.055
  BMI 0.05 0.05 1.01 0.313
Trunk flexion-numeric Weight 0.03 0.04 0.79 0.430
  Height -1.30 5.54 -0.23 0.815
  BMI 0.13 0.127 1.09 0.277
Factor 1 Weight 0.023 0.004 5.04 0.0001*
  Height 2.505 0.711 3.52 0.001*
  BMI 0.064 0.016 4.00 0.0001*
Factor 2 Weight 0.005 0.005 1.00 0.319
  Height -0.339 0.8 -0.42 0.672
  BMI 0.032 0.018 1.77 0.079
  1. *Significant associations ρ < 0.05.