Age is coming out as a really strong predictor compared to other variables. This is a classification problem, the dependent variable is a (0/1)
Hard to know exactly without knowing what kind of model you're using, but it would be worth repeating the model without age to see what you get. It could be that you're missing important correlations by adjusting for age. Collider bias is one potential issue here.
I would report univariable correlations and a multivariable model in this case.