The Eating Disorder Inventory-III Maturity Fears Scale and Treatment Outcome in an Intensive Outpatient Eating Disorder Program

Eating disorders present a significant physical and psychological problem with a prevalence rate of approximately six percent in the United States. Despite the extensive literature, identifying the consistent risk factors for predicting the course of treatment in eating disorders remains difficult. The present study explores the use of a standardized assessment, using the consistently validated Eating Disorder Inventory-III (EDI-3), in predicting treatment outcome. Specifically, the study investigates the particular scale of Maturity Fears (MF) on the EDI-3, hypothesizing that higher scores on the MF scale would predict lower rates of recovery and treatment completion. The participants were 52 eating disorder patients (19 AN, 18 BN, and 15 EDNOS), consecutively admitted to a five-month long intensive outpatient program (IOP). The participants completed an EDI-3 self-report at pre and post treatment, and their score on the MF scale did not show a significant predictive relationship to treatment completion or change in symptoms, as measured by the Eating Disorder Risk Composite (EDRC) scale on the EDI-3. This finding primarily suggests that maturity fears are not a significant predictive factor in an outpatient setting with adults, as compared to previous studies that found a relationship between maturity fears and treatment outcome, primarily with adolescent and inpatient populations.

Vegetation Changes to the Okavango Delta, Botswana; A Comparison Between Managed and Non-Managed Areas

This capstone explores vegetation changes in the Okavango Delta area of Botswana. Spatial analyses were conducted using Moderate Resolution Imaging Spectroradiometer Normalized Difference Vegetation Index satellite imagery and Geographic Information System land management data to compare vegetation changes within managed areas to determine whether management practices have had beneficial or adverse impacts. Rainfall, logging, and livestock data were utilized to attempt to find a link to precipitation, logging, or overgrazing. After analysis the livestock data were the only one that showed a correlation to the vegetation changes observed. Of the vegetation cover types analyzed, forest showed the most change, a significant decrease. Little difference in vegetation changes was found in the managed areas, indicating that land management techniques are ineffective.