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)."