Using optimal subset regression to identify factors associated with insulin resistance and construct predictive models in the US adult population.

The optimal subset predictive model proposed in this study has a great performance in predicting IR, and the decision curve analysis shows that it has a high net clinical benefit, which can help clinicians and epidemiologists easily detect IR and take appropriate interventions as early as possible.