Table 1 Demographic characteristics of the randomized subject cohort.

From: Predictive model for abdominal liposuction volume in patients with obesity using machine learning in a longitudinal multi-center study in Korea

Characteristics

Study set (n = 9,856)

Age, mean (SD)

38 (10.4)

Sex

 

 Male, N (%)

1354 (13.7%)

 Female, N (%)

8502 (86.3%)

Marital status

 

 Married, N (%)

4922 (49.9%)

 Single, N (%)

4833 (49.0%)

 Divorced, N (%)

101 (1.0%)

Weight, kg, mean (SD)

71 (15.6)

Height, cm, mean (SD)

163 (7.0)

BMI, kg/m2, mean (SD)

26 (4.8)

Preoperative waist circumference, cm, mean (SD)

93 (11.2)

Body water, L, mean (SD)

33 (6.5)

Body protein, kg, mean (SD)

9 (1.8)

Body minerals, kg, mean (SD)

3 (0.6)

BFM, kg, mean (SD)

26 (9.6)

FFM, kg, mean (SD)

45 (8.9)

SMM, kg, mean (SD)

25 (5.4)

Operation time, mean (SD)

123 (44.7)

Liposuction volume, cc, mean (SD)

2632 (1484.7)

  1. Abbreviations BFM: body fat mass; BMI: body mass index; FMM: fat-free mass; SMM: skeletal muscle mass; SD: standard deviation.
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