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Table 1.

Participant characteristics in the overall sample and stratified by race.

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Table 1 Expand

Fig 1.

Significant three-way interaction of race × age × gender with lifetime discrimination burden.

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Fig 1 Expand

Table 2.

Inverse Gaussian regression model estimating three-way interaction effects among race and age, gender, or poverty status with lifetime discrimination burden.

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Table 2 Expand

Fig 2.

Significant three-way interaction of race × gender × poverty status with lifetime discrimination burden.

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Fig 2 Expand

Fig 3.

Significant two-way interactions of race × age with (a) racial discrimination and (b) frequency of discrimination across sources.

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Fig 3 Expand

Table 3.

Inverse Gaussian regression model estimating two-way interaction effects among race and age, gender, or poverty status with multiple indices of discrimination.

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Table 3 Expand

Fig 4.

Significant two-way interactions of race × gender with (a) racial discrimination, (b) frequency of discrimination across sources, and (c) everyday discrimination.

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Fig 4 Expand