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. 2023 Dec;20(6):486–494. doi: 10.36131/cnfioritieditore20230603

Table 5.

Stepwise logistic regression model to assess any specific eating habits and features eventually associated with a diagnosis of FA

Risk Factor Β S.E. Wald d.f. p OR 95%CI
Age -.035 .010 13.28 1 .000 .965 .947-.984
Sex -.270 .291 .856 1 .355 .764 .431- 1.352
 BMI 4.264 2 .119
 Overweight vs. Normal -.354 .279 1.612 1 .204 .702 .406-1.212
 Obesity vs. Normal .207 .290 .509 1 .475 1.230 .697-2.169
Internet Diet .737 .268 7.557 1 .006 2.090 1.236-3.536
Number of atempts .265 .092 8.284 1 .004 1.303 1.088-1.560
Nibble .515 .236 4.745 1 .029 1.674 1.053-2.660
Carbs Amount .451 .230 3.840 1 .050 1.570 1.000-2.466
Referred addiction 27.89 2 .000
 Specific vs. no-Addiction 1.295 .258 25.24 1 .000 3.652 2.203-6.053
 Aspecific vs. no-Addiction 1.460 .375 15.12 1 .000 4.308 2.064-8.993
Constant -2.042 .481 18.02 1 .000 .130

Significant associations are shown in in bold characters