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. 2022 Aug 22;23:799. doi: 10.1186/s12891-022-05742-7

Table 1.

Participants’ characteristics from the computer vision-based posture analysis system (n = 140)

Category Characteristics Mean ± SD or No. (%) or IQR
Parameters from computer vision-based posture analysis system Age (years) 24.94 ± 17.36
Sex Male 59 (42.14%)
Female 81 (57.86%)
Height (cm) 153.43 ± 18.57
Weight (kg) 51.51 ± 18.13
SHD (mm) 3.00 ± 1.00
EHD (mm) 8.50 ± 0.50
WHD (mm) 39.00 ± 19.00
PHD (mm) 7.50 ± 2.50
KHD (mm) 10.00 ± 2.00
AHD (mm) 18.50 ± 4.50
LLD (mm) 7.67 ± 5.27
Radiographic assessment Cobb angle

Including 0

(n = 140)

6.16, IQR Q1: 0.00, Q3: 10.25 (0.00–61.00)

Excluding 0

(n = 79)

10.92, IQR Q1: 6.00, Q3: 13.00 (1.00–61.00)
SHD (mm)

Including 0

(n = 140)

1.18, IQR Q1: 0.00, Q3: 0.00 (0.00–18.20)

Excluding 0

(n = 20)

8.25, IQR Q1: 3.98, Q3: 10.73 (1.30–18.20)
PHD (mm)

Including 0

(n = 140)

2.85, IQR Q1: 0.00, Q3: 5.10 (0.00–18.60)

Excluding 0

(n = 58)

8.04, IQR Q1: 4.15, Q3: 8.43 (1.80–18.60)

Scoliosis range in degree

(Cobb angle)

Normal group

(0–9°)

96 (68.57%)

Mild group

(10–25°)

41 (29.29%)
Moderate group (26–40°) 1 (0.71%)
Severe group (> 41°) 2 (1.43%)

Abbreviations: SHD Shoulder height difference, EHD Elbow height difference, WHD Wrist height difference, PHD Pelvic height difference, KHD Knee height difference, AHD Ankle height difference, LLD Leg length discrepancy, IQR Interquartile range