Rationale: African American individuals have worse outcomes in chronic obstructive pulmonary disease (COPD).Objectives: To assess whether race-specific approaches for estimating lung function contribute to racial inequities by failing to recognize pathological decrements and considering them normal.Methods: In a cohort with and at risk for COPD, we assessed whether lung function prediction equations applied in a racespecific versus universal manner better modeled the relationship between FEV 1 , FVC, and other COPD outcomes, including the COPD Assessment Test, St. George's Respiratory Questionnaire, computed tomography percent emphysema, airway wall thickness, and 6-minute-walk test. We related these outcomes to differences in FEV 1 using multiple linear regression and compared predictive performance between fitted models using root mean squared error and Alpaydin's paired F test.Measurements and Main Results: Using race-specific equations, African American individuals were calculated to have better lung function than non-Hispanic White individuals (FEV 1 , 76.8% vs. 71.8% predicted; P = 0.02). Using universally applied equations, African American individuals were calculated to have worse lung function. Using Hankinson's Non-Hispanic White equation, FEV 1 was 64.7% versus 71.8% (P , 0.001). Using the Global Lung Initiative's Other race equation, FEV 1 was 70.0% versus 77.9% (P , 0.001). Prediction errors from linear regression were less for universally applied equations compared with race-specific equations when examining FEV 1 % predicted with the COPD Assessment Test (P , 0.01), St. George's Respiratory Questionnaire (P , 0.01), and airway wall thickness (P , 0.01). Although African American participants had greater adversity (P , 0.001), less adversity was only associated with better FEV 1 in non-Hispanic White participants (P for interaction = 0.041).Conclusions: Race-specific equations may underestimate COPD severity in African American individuals.Clinical trial registered with www.clinicaltrials.gov (NCT01969344).