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A Computer-Based Platform for Aiding Clinicians in Eating Disorder Analysis and Diagnosis
Published on: May 10, 2022
Exploring differential item functioning on eating disorder measures by food security status
Shannon M O'Connor1, Vivienne M Hazzard2, Hana F Zickgraf3
1Department of Psychology, Montclair State University, Dickson Hall 119, 1 Normal Ave, Montclair, NJ, 07043, USA. oconnors@montclair.edu.
Food insecurity may affect how individuals report eating disorder (ED) symptoms. Some items on the Eating Disorder Diagnostic Scale for DSM-5 (EDDS-5) showed differences based on food security status, suggesting potential measurement issues.
Area of Science:
- Psychiatry
- Psychology
- Public Health
Background:
- Food insecurity is linked to increased eating disorder (ED) pathology.
- Existing ED measures may not accurately reflect pathology in food-insecure individuals.
- Differential item functioning (DIF) can reveal item biases in questionnaires.
Purpose of the Study:
- To investigate if item endorsement on two common ED questionnaires differs between food-secure and food-insecure individuals.
- To identify potential biases in ED measures within food-insecure populations using DIF analysis.
Main Methods:
- 634 cisgender women recruited via Amazon Mechanical Turk.
- Differential item functioning (DIF) analysis applied to the Short Eating Disorder Examination Questionnaire (S-EDE-Q) and the Eating Disorder Diagnostic Scale for DSM-5 (EDDS-5).
- Hybrid ordinal logistic regression/item response theory approach used, with statistical (p < .01) and clinical significance (pseudo ΔR² ≥ .035) defining DIF.
Main Results:
- No clinically significant DIF found for the S-EDE-Q.
- Two items on the EDDS-5 demonstrated statistically and clinically significant DIF.
- Food-insecure participants were more likely to report eating large amounts when not hungry and experiencing negative emotions about overeating at lower ED pathology levels.
Conclusions:
- Findings suggest that ED measures may require adaptation for food-insecure populations.
- The EDDS-5 items showing DIF may not fully capture ED pathology in this demographic.
- Further research is needed to refine ED assessment tools for diverse socioeconomic contexts.
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