They went on to say that the only signal that survives multiple hypothesis correction was BMI, after reporting their nominal discovery of an association with sex.
"Men demonstrated higher rates of elevated FAI-Score than women (52.8% vs.
25.8%, p=0.016; ≥90th percentile: 26.4% vs. 3.2%, p=0.007). [...] Body mass
index was the sole secondary correlate surviving false discovery rate
correction (AUC = 0.71, p=0.001, all-test FDR q=0.028). Regularized
multivariable models showed modest out-of-sample discrimination for FAI-Score
elevation (cross-validated AUC = 0.71)."
