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Table 1 Comparison of groups on study variables

From: Using machine learning to explore core risk factors associated with the risk of eating disorders among non-clinical young women in China: A decision-tree classification analysis

 

Eating disorder risk classification

Total sample (n = 830)

No (n = 697)

Yes (n = 133)

 

Variable

M

SD

M

SD

M

SD

d [95% CI]

BMI

20.16

2.40

20.04

2.41

20.82

2.20

0.33 [0.14, 0.51]

Eating inflexibility

30.70

7.11

29.91

6.87

34.88

6.91

0.72 [0.53, 0.91]

Psychological distress

11.71

4.32

11.00

3.87

15.45

4.64

1.11 [0.92, 1.31]

Loss of control over eating

13.34

5.51

12.34

4.88

18.59

5.68

1.25 [1.05, 1.45]

Body image inflexibility

11.59

6.30

10.11

5.10

19.35

6.29

1.74 [1.53, 1.95]

Body dissatisfaction

34.60

9.13

33.61

8.79

39.79

9.16

0.70 [0.51, 0.89]

Emotional over eating

2.18

0.92

2.06

0.88

2.83

0.87

0.88 [0.69, 1.07]

  1. M = mean, SD = standard deviation, d = Cohen’s d, CI = confidence interval. The classification of “Yes” stands for groups classified with high risk of EDs, and “No” stands for groups classified with low risk of EDs