F2-IsoPs were analyzed in quartiles (quartile 1 [Q1], 107–738; Q2, 738–999; Q3, 999–1364; and Q4, 1364–5970) and also as a continuous variable (per SD increase). We compared the characteristics of the study participants by AMD status using the χ2 test for categorical and analysis of variance for continuous variables. We also compared participant characteristics by quartiles of F2-IsoPs levels. We examined the association between F2-IsoPs levels and any AMD using two unconditional logistic regression models: model 1 adjusted for age and sex, and model 2 adjusted for age, sex, current smoking, BMI, systolic BP, diabetes, total cholesterol, HDL cholesterol, and CVD. In quartile analysis, Q1 was used as the reference group and P for trend was calculated using the quartiles as an ordinal variable. To examine the consistency of the association between F2-IsoPs levels and any AMD, we performed subgroup analysis stratified by potential confounders including sex, BMI, and hypertension status. We examined statistical interaction by stratifying variables by including cross-product interaction terms (strata factor × quartiles of F2-IsoPs) in the corresponding regression models. We performed three supplementary analyses: first we excluded those with late AMD and repeated the analysis using early AMD (n = 218) as an outcome; second, we examined the association of F2-IsoPs with AMD stratified by lesion type, drusen (n = 301) and pigmentary lesion (n = 242) in separate models; and third, to demonstrate that the associations of AMD observed with F2-IsoPs normalized to urinary creatinine were not driven by urinary creatinine, we evaluated the association of 1/urinary creatinine with AMD in unconditional logistic regression models. In addition, we also examined the association of F2-IsoPs without normalization to urinary creatinine (absolute F2-IsoPs) with AMD in multivariable logistic regression models. All statistical analyses were performed using SAS version 9.3 (SAS Institute, Cary, NC, USA).