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. 2014 Jun 20;15:212. doi: 10.1186/1471-2474-15-212

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)

  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

*Significant associations ρ < 0.05.