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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.