120 Chapter 5 Figure 1: Graphs of significant moderators of treatment. Footnote: Graphs were created using regression coefficients to generate predicted scores across the observed range of the moderator. End-of-treatment Predictors. Smaller reductions in OBE frequency at end of treatment were significantly predicted by higher overvaluation of weight and shape (b = .246, SE(b) = .094, 95% CI(b) = .062, .431, p = .009, IRR = 1.279, 95% CI(IRR) = 1.064, 1.539), higher shape concerns (b = .396, SE(b) = .137, 95% CI(b) = .129, .664, p = .004, IRR = 1.487, 95% CI(IRR) = 1.137, 1.943), greater low self-esteem (b = .093, SE(b) = .021, 95% CI(b) = .052, .135, p = < .001, IRR = 1.098, 95% CI(IRR) = 1.051, 1.145), and higher depressive symptoms (b = .055, SE(b) = .012, 95% CI(b) = .032, .079, p = < .001, IRR = 1.057, 95% CI(IRR) = 1.032, 1.082). Other predictors were non-significant.
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