Table 1 Demographic and clinical characteristics of the population.

From: Advanced machine learning applications in fibromyalgia to assess the relationship between 3D spinal alignment with clinical outcomes

Variable

Overall average (Mean)

Standard deviation (If applicable)

Age (Years)

51.1

8.1

Weight (kg)

75.0

9.0

Male (%)

35.0

N/A

Female (%)

65.0

N/A

Primary school (%)

12.5

N/A

Secondary school (%)

25.0

N/A

Technical certificate (%)

20.0

N/A

University diploma (%)

32.7

N/A

Other education (%)

10.0

N/A

Marital status—single (%)

10.0

N/A

Marital status—married (%)

82.0

N/A

Marital status—separated/divorced/widowed (%)

8.0

N/A

1–5 years pain duration (%)

20.0

N/A

 > 5 years pain duration (%)

80.0

N/A

Sagittal imbalance (mm, Mean)

9.8

2.6

Coronal imbalance (mm, Mean)

11.5

4.0

Vertebral rotation (deg, Mean)

10.8

3.5

Pelvic obliquity (mm, Mean)

12.0

6.0

Pelvic torsion DL/DR (deg, Mean)

7.1

1.2

Pelvis rotation (deg, Mean)

3.3

1.5

FIQ (Mean)

58.5

8.9

PCS (Mean)

39.2

4.5

PSQI (Mean)

14.5

2.3

Total algometric pain score (Sum of PPTs across 18 points, kg/cm2)

132.9

12.9

  1. N/A, not applicable.