The overall goal of this study was to evaluate the outcome of a residential program for eating disorders that uses a multidimensional approach to treatment. Patients were males and females admitted with a diagnosis of Anorexia Nervosa using DSM-IV criteria. A phone survey was developed by our staff and applied to patients 15-months post discharge. Responses were analyzed using paired t-test and multiple regression analysis. From discharge to follow-up, the females experienced an average weight gain of almost 7 lbs (P = 0.03) and the males experienced an average weight gain of 19 lbs (P = 0.025). Multiple regression analysis showed that a higher weight at contact date was associated with a higher weight at discharge, less fasting and the male gender. This kind of study helps us evaluate treatment outcome and identify key variables that predict changes in anorexics' body weight over time.

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The goal of this study was to analyze the impact of obsessive compulsive behaviors (OCB) in eating disorder males and females admitted for residential treatment in terms of length of stay and severity of symptoms. Patients (N=384) were separated into four groups based on gender and the score obtained for the Maudsley Obsessive-Compulsive Inventory at admission. The instrument used to assess severity of eating disorder symptoms was the Eating Disorder Inventory (EDI-2) at admission and discharge. The results showed that the presence of comorbid OCB in eating disordered males and females account for longer length of stay (LOS) and an increased severity of eating disorder symptoms. Clinically, these findings point to the need for development of more targeted residential programs that are equipped for and adept at treating the comorbid eating disorder/OCB patient population.

These findings demonstrate the benefits of more individualized interventions with repeat OWI offenders and calls for further development of multimodal approaches in traffic medicine including those that use direct alcohol biomarkers as evidence-based practices to reduce recidivism.

The objective of this study was to measure the extent to which self-functioning traits relate to meal compliance in eating disorder patients by using multiple regression analysis. Compliance was the dependent variable. It was recorded on a meal flowsheet during breakfast, lunch and dinner and compiled for the 8 days immediately preceding each patient's discharge. The independent variables were gender, self-esteem (Rosenberg Scale) and 7 subscales of the Eating Disorder Inventory (EDI-2): drive for thinness, body dissatisfaction, ineffectiveness, perfectionism, interpersonal distrust, interoceptive awareness and maturity fears. A random sample of 30 subjects who completed the above instruments before May 1999 were included in the study. The results suggest that close to 50% of their meal compliance can be explained by variations in four explanatory variables: gender, ineffectiveness, interoceptive awareness and distrust. The adjusted r2 was 0.497 and the significance of the equation, measured by the p-value, was p = 0.0002. We conclude that multiple regression analysis is a valuable tool to identify patients' traits with the strongest effect in meal compliance.