Poisson regression is the best method to analyze cumulative adverse childhood experiences.

A cumulative count of adverse childhood experiences (ACEs) is associated with poor physical and mental health in adults and more recently associated with poor school performance and behavioral problems in children, although typically analyzed with binary logistic and linear regression models that may inaccurately bias the results. This study compared the results of a Poisson regression model with three binary logistic regression models of ACEs (i.e.