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

Kristine H. Luce, Megan I. Osborne, Andrew J. Winzelberg, Smita Das, Liana B. Abascal, Angela A. Celio, Denise E. Wilfley, Derek Stevenson, Parvati Dev, C. Barr Taylor

Research output: Contribution to journalArticle

14 Scopus citations

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.

Original languageEnglish
Pages (from-to)220-226
Number of pages7
JournalInternational Journal of Eating Disorders
Volume37
Issue number3
DOIs
StatePublished - Apr 1 2005

Keywords

  • Algorithm
  • Eating disorder risk
  • Prevention programs

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    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). Application of an algorithm-driven protocol to simultaneously provide universal and targeted prevention programs. International Journal of Eating Disorders, 37(3), 220-226. https://doi.org/10.1002/eat.20089