Oral Indicators for ED Screening

Overview

The main objective of this research project is to explore the capability of a standardized, evidence-based study tool (the OHEDs Checklist) in the early identification of oro-dental manifestations potentially indicative of an eating disorder. The secondary objective is to evaluate the sensitivity and specificity of the OHEDs Checklist in comparison with validated screening instruments for eating disorders, namely the ESP, SCOFF and DEQ questionnaires.

The OHEDS (Oral Health Eating Disorders Screening) study aims to investigate whether specific oro-dental manifestations can be used as early indicators of eating disorders. The project arises from increasing scientific evidence linking various clinical oral signs to disordered eating behaviors, including dental erosion, mucosal alterations, dentin hypersensitivity, changes in salivary flow, and dysfunctional oral hygiene habits. Despite these associations, no structured clinical tool currently exists to interpret such signs as potential early warning indicators. The OHEDs Checklist was developed from a systematic review of the literature, assigning weighted scores to clinical items based on the consistency and robustness of the available evidence. This study seeks to evaluate the discriminative ability of the Checklist's total score by comparing it with validated screening instruments (SCOFF, ESP, DEQ), with the objective of identifying an optimal cutoff for clinical suspicion. The study is observational, cross-sectional, and multicentric at a national level. All assessments are performed during routine dental visits already scheduled as part of standard clinical practice, without introducing any experimental interventions. After providing informed consent, participants undergo an intraoral clinical examination conducted by trained clinicians, during which the OHEDs Checklist is completed. Participants also complete validated questionnaires assessing disordered eating behaviors. Demographic, behavioral, and general clinical information is collected according to standard anamnesis procedures. All data are recorded in pseudonymized form within an electronic Case Report Form (CRF) using the REDCap platform (University of Bologna). The planned sample size is 461 participants. The first dataset (n = 307) provides adequate precision for estimating the expected prevalence of individuals at risk, while a second independent dataset (n = 154) is used for external validation of the identified cutoff.

Conditions

Eligibility

Locations (1)

Outcomes

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