Table 5.
Mean Levels of Predictors | Stress +1SD | Restraint +1SD | Body Dissat +1SD | Wt Suppress +1SD | Female | All +1SD +Female | |
---|---|---|---|---|---|---|---|
Binge Eating | |||||||
Raw Data | 1.50 | 1.59 | |||||
Zeros | 67.6% | 61.8% | |||||
Nonzero M | 4.62 | 5.54 | |||||
OLS | 1.72 | 2.10 | 2.06 | 2.48 | 1.88 | 1.43 | 3.06 |
OLS.Inv | 2.70 | 2.93 | 2.87 | 3.07 | 2.68 | 2.66 | 3.51 |
LR | 66.57% | 57.50% | 60.99% | 54.31% | 65.67% | 66.13% | 37.40% |
PR | 1.23 | 1.53 | 1.43 | 1.93 | 1.30 | 1.02 | 2.40 |
NB | 1.16 | 1.74 | 1.47 | 1.83 | 1.26 | 0.88 | 2.86 |
ZIP | 1.34 | 1.78 | 1.63 | 2.23 | 1.44 | 1.09 | 2.80 |
Excess Zeros | 65.51% | 56.36% | 59.90% | 53.84% | 64.66% | 64.3% | 36.3% |
Count M | 3.88 | 4.07 | 4.06 | 4.83 | 4.08 | 3.06 | 4.40 |
ZINB | 1.77 | 2.12 | 2.08 | 2.76 | 1.86 | 1.38 | 2.45 |
Excess Zeros | 10.35% | 4.49% | 4.20% | 4.02% | 4.41% | 8.51% | 0.21% |
Count M | 1.97 | 2.12 | 2.17 | 2.87 | 1.94 | 1.27 | 2.46 |
Hurdle NB | 1.28 | 1.73 | 1.60 | 2.19 | 1.38 | 1.00 | 2.68 |
Zeros | 43.99% | 30.56% | 36.41% | 29.79% | 43.68% | 35.01% | 0.00% |
Count M | 2.29 | 2.49 | 2.51 | 3.13 | 2.46 | 1.53 | 2.68 |
Exercise | |||||||
Raw Data | 3.78 | 3.65 | |||||
Zeros | 59.3% | 57.9% | |||||
Nonzero M | 9.26 | 7.83 | |||||
OLS | 4.88 | 4.69 | 6.57 | 4.95 | 4.95 | 4.11 | 5.73 |
OLS.Inv | 3.24 | 3.31 | 3.72 | 3.67 | 3.21 | 3.02 | 3.96 |
LR | 52.22% | 49.42% | 41.46% | 41.34% | 53.01% | 58.39% | 35.11% |
PR | 3.62 | 3.50 | 4.92 | 3.86 | 3.67 | 2.91 | 4.12 |
NB | 3.41 | 3.44 | 4.81 | 4.53 | 3.64 | 2.46 | 4.95 |
ZIP | 4.16 | 4.08 | 6.04 | 4.61 | 4.23 | 3.24, | 5.14, |
Excess Zeros | 52.2% | 49.37% | 42.49% | 41.22% | 53.00% | 58.36%, | 35.02%, |
Count M | 8.72 | 8.05 | 10.32 | 7.85 | 9.02 | 7.78 | 7.91 |
ZINB | 4.78 | 4.61 | 6.88 | 5.20 | 4.86 | 3.72 | 5.25 |
Excess Zeros | 34.27% | 30.78% | 21.56% | 17.99% | 34.98% | 41.86% | 12.33% |
Count M | 7.28 | 6.66 | 8.76 | 6.34 | 7.47 | 6.41 | 6.30 |
Hurdle NB | 4.11 | 3.99 | 5.93 | 4.67 | 4.20 | 3.18 | 5.12 |
Zeros | 47.02% | 43.3% | 36.22% | 34.32% | 48.13% | 53.17% | 27.26% |
Count M | 7.77 | 7.03 | 9.30 | 7.11 | 8.10 | 6.79 | 7.04 |
Purging | |||||||
Raw Data | 0.89, | 0.84, | |||||
Zeros | 90.3%, 9.22 | 88.8%, | |||||
Nonzero M | 8.60 | ||||||
OLS | 1.72 | 1.52 | 1.59 | 1.26 | 1.65 | 0.91 | 2.26 |
OLS.Inv | 2.21 | 2.29 | 2.27 | 2.21 | 2.27 | 2.19 | 2.43 |
LR | 91.72% | 86.94% | 89.34% | 91.37% | 89.74% | 91.64% | 78.97% |
PR | 0.66 | 0.88 | 0.91 | 0.75 | 0.79 | 0.50 | 1.29 |
NB | 0.57 | 0.99 | 0.71 | 0.78 | 0.78 | 0.46 | 1.83 |
ZIP | 0.62 | 0.98 | 0.88 | 0.67 | 0.86 | 0.47 | 1.55 |
Excess Zeros | 91.70% | 86.90% | 89.32% | 91.36% | 89.71% | 91.59% | 78.91% |
Count M | 7.47 | 7.48 | 8.20 | 7.87 | 8.31 | 5.69 | 7.36 |
ZINB | 0.65 | 1.02 | 0.91 | 0.76 | 0.87 | 0.51 | 1.61 |
Excess Zeros | 89.37% | 82.71% | 86.44% | 89.06% | 86.40% | 88.81% | 71.74% |
Count M | 6.15 | 5.87 | 6.71 | 6.96 | 6.40 | 4.60 | 5.64 |
Hurdle NB | 0.64 | 0.97 | 0.88 | 0.76 | 0.84 | 0.51 | 1.56 |
Zeros | 89.74% | 83.68% | 86.94% | 89.54% | 87.41% | 89.10 | 73.71% |
Count M | 6.28 | 5.96 | 6.77 | 7.25 | 6.73 | 4.69 | 1.56 |
Note. Purging includes laxative use and vomiting. Exercise refers to endorsement of driven exercise. Outcome variables measured by the Eating Disorder Examination – Questionnaire (EDE-Q). Stress = Stress related to life events measured by the Daily Stress Inventory. Body dissat = Body Dissatisfaction measured by the EDE-Q. Wt Suppress = Weight Suppression calculated as the difference between an individual’s highest adult weight and self-reported current weight. OLS = ordinary least squares regression. OLS-Inverse = ordinary least squares regression with inverse transformation applied to dependent variable. LR = logistic regression. PR = Poisson regression. NB = negative binomial. Numbers reflect predicted scores, percentage (or percentage likelihood) of zero scores, and predicted means of the non-zero distribution. Zero scores in zero-inflated models represent structural zeros, with the assumption that some zero scores may be accounted for in the count portion of the model as sampling zeroes. Predicted models were used to estimate means, percentage zero, and mean of non-distributions for appropriate values. In models indicating +1SD, a value of a predictor was chosen at one standard deviation above the mean value for that predictor, with all other predictors set to their mean level.