Table 2.

Linear and Logistic Regression Predicting Cognitive Function from Perceived Discrimination

Discrimination	Memory	Speed-Attention	Visuospatial Ability	Language	Numeric Reasoning
			Linear Analysis
Weight Discrimination	−.03	−.05**	−.07**	−.02	−.05*
Age Discrimination	−.01	−.01	−.01	.02	−.03
Gender Discrimination	.03	.00	.00	.03	.04*
Race Discrimination	.03	.00	.00	.02	.00
			Logistic Analysis
Weight Discrimination	2.23 (1.32–3.79)**	1.98 (1.11–3.53)*	1.89 (1.14–3.11)*	1.28 (.76–2.13)	2.08 (1.18–3.66)*
Age Discrimination	1.03 (.78–1.35)	1.22 (.91–1.64)	.97 (.74–1.28)	.99 (.77–1.28)	1.16 (.85–1.58)
Gender Discrimination	1.05 (.66–1.67)	1.05 (.65–1.70)	1.31 (.86–1.99)	.93 (.61–1.43)	.61 (.36–1.02)
Race Discrimination	.52 (.30-.91)*	.99 (.59–1.66)	.61 (.37–1.00)	.74 (.46–1.18)	.93 (.55–1.58)

Note. N=2,593. Analytic ns range from 2,272 (Numeric Reasoning) to 2,569 (Memory and Language) due to missing data. Cognitive function measures were an aggregate of standardized subscale measures in the linear analysis. Cognitive function measures were dichotomized in the logistic analysis (1 standard deviation or more below the mean = 1, others = 0). All analyses control for age, sex, race, Latinx ethnicity, education, and body mass index.

^*p<.05.

^**p<.01.