Application of an algorithm-driven protocol to simultaneously provide universal and targeted prevention programs

Abstract

Objective: Our objective was to develop a model to simultaneously prevent eating disorders and weight gain among female high school students.

Method: Of 188 female 10th graders enrolled in health classes, 174 elected to participate in the current study. They were assessed on-line and decided to participate in one of four interventions appropriate to their risk.

Results: The algorithm identified 111 no-risk (NR), 36 eating disorder risk (EDR), 16 overweight risk (OR), and 5 both risks. Fifty-six percent of the EDR and 50% of the OR groups elected to receive the recommended targeted curricula. Significant improvements in weight and shape concerns were observed in all groups.

Discussion: An Internet-delivered program can be used to assess risk and provide simultaneous universal and targeted interventions in classroom settings.