Table 4. Multivariate Associations between Student and School Factors and Weight Bias/Attitudes (N=4732).

Table 4 shows the results of multivariate linear models predicting implicit and explicit bias measures. Beta coefficients, global p-values and p-values for each level of categorical variables are presented.

	Model 1: Implicit Bias	Model 2: Explicit Bias	Model 3: Dislike	Model 4: Blame	Model 5: Fear
	Beta (p-value)	Beta (p-value)	Beta (p-value)	Beta (p-value)	Beta (p-value)
Age	−.001 (p=.86)	−.44 (p<.001)	−.01 (p=.04)	−.02 (p<.01)	−.04 (p<.001)
BMI	−.01 (p<.001)	−.43 (p<.001)	−.03 (p<.001)	−.01 (p=.15)	.16 (p<.001)
Sex
Male	.06 (p=.001)	1.57 (p = .01)	.23 (p<.001)	.58 (p<.001)	−1.14 (p<.001)
Female	ref	ref	ref	ref	ref
p-value for Wald F	.001	.01	<.001	<.001	<.001
Race/Ethnicity
White	.11 (p < .01)	7.47 (p<.001)	.54 (p<.001)	.58 (p<.001)	.93 (p<.001)
Hispanic	.13 (p <.01)	4.25 (p = .02)*	.42 (p<.001)	.29 (p= <.01)	.95 (p<.001)
East Asian	.07 (p = .09)	4.33 (p<.01)	.66 (p<.001)	.24 (p= <.01)	1.00 (p<.001)
South Asian	.02 (p = .67)	1.71 (p = .17)	.33 (p<.001)	.13 (p= .19)	1.03 (p<.001)
Black	ref	ref	ref	ref	ref
p-value for Wald F	.001	<.001	p<.001	p<.001	<.001
Born in USA
Yes	.07 (p < .01)	.76 (p = .35)	.05 (p=.41)	.04 (p= .60)	.04 (p=.40)
No	ref	ref	ref	ref	ref
p-value for Wald F	<.01	.35	.41	.60	.30
Parent’s Highest Degree
Doctoral	−.06 (p = .03)	2.73 (p<.01)	.11 (p=.04)	−.04 (p= .45)	.04 (p=.55)
Masters	−.003 (p = .90)	2.44 (p = .02)	.13 (p=.05)	.02 (p= .69)	.10 (p=.19)
Bachelors	−.016 (p = .59)	.71 (p = .43)	.02 (p=.75)	.02 (p=.77)	.05 (p=.39)
Less than Bachelor	ref	ref	ref	ref	ref
p-value for Wald F	.02	.<.01	.046	.58	.49
Anticipated Specialty
Specialty	.01 (p = .50)	3.47 (p<.001)	.22 (p<.001)	.22 (p<.001)	.11 (p=.04)
Primary Care	ref	ref	ref	ref	ref
p-value for Wald F	.50	<.001	<.001	<.001	.04

^*Not significantly different than Black race (p^t-test=.16) in sensitivity model of raw “obese people” thermometer scores.