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grouped by parent-reported race and ethnicity. We analyzed how the equations affected FEV1, FVC, and FEV1\/FVC z-scores. We used multivariable logistic models to evaluate associations between z-scores calculated with different equations and asthma diagnosis, emergency department visits, and hospitalization.<\/jats:p>\n <\/jats:sec>\n \n Measurements and Main Results<\/jats:title>\n For Black children, the GLI-Global versus GLI\u2013Race-Specific equations estimated significantly lower z-scores for FEV1 and FVC but similar values for FEV1\/FVC, thus increasing the proportion of children classified with low FEV1 by 14%. Although both equations yielded strong inverse relationships between FEV1 and FEV1\/FVC z-scores and asthma outcomes, these relationships varied across racial and ethnic groups (P\u2009&lt;\u20090.05). For any given FEV1 or FEV1\/FVC z-score, asthma diagnosis and emergency department visits were higher among Black and Hispanic than among White children (P\u2009&lt;\u20090.05). For FEV1, GLI-Global equations estimated asthma outcomes that were more uniform across racial and ethnic groups.<\/jats:p>\n <\/jats:sec>\n \n Conclusions<\/jats:title>\n Parent-reported race and ethnicity influenced relationships between lung function and asthma outcomes. 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