Table 3. Crude and multivariable-adjusted logistic regression models examining associations between race/ethnicity and odds of daily fruit and vegetable consumption among survey participants.

	Model 1	Model 2	Model 3	Model 4
	OR (95% CI)	OR (95% CI)	OR (95% CI)	OR (95% CI)
Race/Ethnicity
NH White	REF	REF	REF	REF
NH Black	.50 (.30-.83)	.44 (.22-.86)	.55 (.34-.90)	.68 (.35-1.31)
Other	.35 (.16-.73)	.46 (.20-1.05)	.29 (.13-.61)	.30 (.12-0.71)
Other Measures
Age, years	-	.98 (.72-1.35)	-	.93 (.67-1.29)
Gender
Male	-	1.24 (.56-2.72)	-	1.05 (.45-2.28)
Female		REF		REF
Household members, n	-	1.07 (.91-1.26)	-	1.10 (.93-1.30)
Location
Chicago	-	1.37 (.71-.24)	-	.84 (.43-1.61)
Other		REF		REF

CI, confidence Interval; NH, non-Hispanic; OR, odds ratio.

Model 1: crude model examining the association between race/ethnicity and odds of daily fruit intake.

Model 2: model 1 adjusted for location (Chicago vs. other), age, gender, and number of household members.

Model 3: crude model examining the association between race/ethnicity and odds of daily vegetable intake.

Model 4: model 3 adjusted for location (Chicago vs. other), age, gender, and number of household members.