Application of an algorithm-driven protocol to simultaneously provide universal and targeted prevention programs.
OBJECTIVE
Our objective was to develop a model to simultaneously prevent eating disorders and weight gain among female high school students.


METHODS
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.


CONCLUSIONS
An Internet-delivered program can be used to assess risk and provide simultaneous universal and targeted interventions in classroom settings.
Luce
Kristine H
KH
Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, California 94305-5722, USA.
Osborne
Megan I
MI
Winzelberg
Andrew J
AJ
Das
Smita
S
Abascal
Liana B
LB
Celio
Angela A
AA
Wilfley
Denise E
DE
Stevenson
Derek
D
Dev
Parvati
P
Taylor
C Barr
CB
D000293:Adolescent; D000465:Algorithms; D001828:Body Image; D002140:California; D003479:Curriculum; D003658:Decision Making, Computer-Assisted; D001068:Feeding and Eating Disorders / Q000517:prevention & control*; D005260:Female; D006266:Health Education / Q000379:methods*; D006801:Humans; D008403:Mass Screening / Q000379:methods*; D009042:Motivation; D009765:Obesity / Q000517:prevention & control*; D009862:Online Systems; D018570:Risk Assessment; D013333:Student Health Services; D015430:Weight Gain