Notice: Users may be experiencing issues with displaying some pages on stanfordhealthcare.org. We are working closely with our technical teams to resolve the issue as quickly as possible. Thank you for your patience.
 

See our updated masking policy »

Stanford Health Care

Application of an algorithm-driven protocol to simultaneously provide universal and targeted prevention programs INTERNATIONAL JOURNAL OF EATING DISORDERS Luce, K. H., Osborne, M. I., Winzelberg, A. J., Das, S., Abascal, L. B., Celio, A. A., Wilfley, D. E., Stevenson, D., Dev, P., Taylor, C. B. 2005; 37 (3): 220-226

Abstract

Our objective was to develop a model to simultaneously prevent eating disorders and weight gain among female high school students.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.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.An Internet-delivered program can be used to assess risk and provide simultaneous universal and targeted interventions in classroom settings.

View details for DOI 10.1002/eat.20089

View details for Web of Science ID 000228875900005

View details for PubMedID 15822091