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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