Objective: The present study examined the relationship between experiences of discrimination and occurrence of binge eating among overweight and obese persons, a population which has previously shown elevated rates of binge eating. Methods: Internet-based questionnaires were used to measure frequency and impact of discrimination, binge eating frequency, and emotional eating. Results: Pearson correlation analyses demonstrated significant positive relationships between the measures of discrimination and measures of eating behaviors (r = 0.12–0.37). Regression models significantly predicted between 17 and 33% of the variance of emotional eating scores and frequency of binge eating; discrimination measures contributed significantly and independently to the variance in emotional eating and binge eating. Weight bias internalization was found to be a partial mediator of the relationship between discrimination and eating disturbance. Conclusion: Results demonstrate the relationship of discrimination to binge eating. Weight bias internalization may be an important mechanism for this relationship and a potential treatment target.

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We study several aspects of bootstrap inference for covariance structure models based on three test statistics, including Type I error, power and sample-size determination. Specifically, we discuss conditions for a test statistic to achieve a more accurate level of Type I error, both in theory and in practice. Details on power analysis and sample-size determination are given. For data sets with heavy tails, we propose applying a bootstrap methodology to a transformed sample by a downweighting procedure. One of the key conditions for safe bootstrap inference is generally satisfied by the transformed sample but may not be satisfied by the original sample with heavy tails. Several data sets illustrate that, by combining downweighting and bootstrapping, a researcher may find a nearly optimal procedure for evaluating various aspects of covariance structure models. A rule for handling non-convergence problems in bootstrap replications is proposed.

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