2.4. Data Analyses
overweight, overweight/obesity or eating disorders
OBESE
To examine continuous outcome change by single-sex versus mixed-sex group and food response and attention training versus sham training, we fitted generalized additive models (GAM). GAMs were used because outcome change was nonlinear. These analyses were intent-to-treat and included all participants randomized to the conditions. Because participants in the four conditions differed on baseline percent body fat (FTo test whether the onset of overweight/obesity or eating disorders differed by condition, Cox proportional hazard models were fitted. Participants were classified as underweight, healthy, overweight, or obese used the criteria in Gallagher et al. [