Table 3.

Summary of Hierarchical Logistic Regression Analysis for Variables Predicting Binge Eating

Variable	OR	95% CI	Wald χ2	R2 a	ΔR2 a
Step 1: Physical Appearance Discrimination	1.31	[1.07, 1.60]	6.78**	.08
Step 2: Discrimination variables				.15	.07
Physical Appearance	1.50	[1.14, 1.97]	8.51**
Income	0.95	[0.66, 1.36]	0.81
Religious	1.26	[0.48, 3.31]	0.21
Age	0.90	[0.59, 1.39]	0.22
Racial	1.31	[0.97, 1.78]	3.05
Ethnicity	1.13	[0.81, 1.57]	0.48
Gender	0.68	[0.35, 1.33]	1.33
Sexual Orientation	0.84	[0.59, 1.18]	1.01
Step 3: Discrimination and demographic variables				.28	.13
Discrimination
Physical Appearance	1.71	[1.24, 2.35]	10.65**
Income	0.98	[0.67, 1.43]	0.15
Religious	1.12	[0.34, 3.67]	0.03
Age	0.84	[0.53, 1.32]	0.61
Racial	1.23	[0.85, 1.78]	1.16
Ethnicity	1.28	[0.87, 1.88]	1.59
Gender	0.70	[0.36, 1.36]	1.10
Sexual Orientation	0.85	[0.60, 1.20]	0.87
Demographics
Age	1.02	[0.96, 1.09]	0.57
Income	1.09	[0.80, 1.48]	0.28
Ethnicity	1.67	[0.27, 10.21]	3.37
Sexual Orientation	2.42	[0.55, 10.66]	0.88
Race	1.69	[0.32, 9.02]	0.85
Education	0.13	[0.24, 0.64]	6.26*
Weight	1.00	[0.99, 1.02]	0.21

Note. OR = odds ratio; CI = confidence interval;

^*p < .05,

^**p < .01,

^***p < .001;

Discrimination count scores ranged from 0–9; Ethnicity was coded as 0 for “Not Hispanic/Latino” and 1 for “Hispanic/Latino”; Sexual orientation was coded as 0 for “Gay” and 1 for “Other”; Race was coded as 0 for “White” and 1 for “Other”; Income was treated as an ordinal variable; Education was coded as 0 for “High school diploma or less” and 1 for “Other.”

^aNagelkerke R² is reported.