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Table 3 Modeling effects of sex, age and EAT-26 scores on the BMI (obesity/no obesity) outcome (binominal logistic regression)

From: The association of obesity with eating disorders risk: online survey of a large cohort of Russian-speaking individuals seeking medical weight correction assistance

Parameter

Analysis of maximum likelihood estimates

Odds ratio estimates

DF

Estimate

Standard error

Wald chi-square

Pr > ChiSq

Point estimate

95% wald confidence limits

Min-

Max

Cohort

 Bulimia

1

0.034

0.007

24.729

 < .0001

1.03

1.02

1.05

 Oral control

1

− 0.073

0.010

56.210

 < .0001

0.93

0.91

0.95

 Men versus women

1

0.571

0.048

139.219

 < .0001

3.13

2.59

3.79

 Age 25–44 versus 18–24

1

− 0.374

0.046

64.806

 < .0001

1.95

1.70

2.23

 Age 45–59 versus 18–24

1

0.381

0.053

52.424

 < .0001

4.15

3.56

4.82

 Age > 60 versus 18–24

1

1.034

0.119

75.645

 < .0001

7.96

5.71

11.09

Women

 Dieting

1

0.020

0.003

40.099

 < .0001

1.02

1.01

1.03

 Bulimia

1

0.030

0.008

15.461

 < .0001

1.03

1.02

1.05

 Oral control

1

− 0.069

0.011

42.945

 < .0001

0.93

0.92

0.95

 Age 25–44 versus 18–24

1

− 0.064

0.030

4.435

0.0352

2.46

2.16

2.81

 Age 45–59 versus 18–24

1

0.617

0.043

209.672

 < .0001

4.87

4.18

5.67

 Age > 60 versus 18–24

1

0.412

0.083

24.421

 < .0001

3.96

3.04

5.16

Men

 Oral control

1

0.080

0.013

37.186

 < .0001

1.08

1.06

1.11

 Age 25–44 versus 18–24

1

0.511

0.127

16.106

 < .0001

5.75

3.10

10.68

 Age 45–59 versus 18–24

1

1.198

0.205

34.150

 < .0001

11.44

5.38

24.34

 Age > 60 versus 18–24

1

− 0.469

0.302

2.422

0.1196

2.16

0.78

5.98