Toward Individualized Prediction of Binge-Eating Episodes Based on Ecological Momentary Assessment Data: Item Development and Pilot Study in Patients With Bulimia Nervosa and Binge-Eating Disorder.

ABSTRACT:

Background

Prevention of binge eating through just-in-time mobile interventions requires the prediction of respective high-risk times, for example, through preceding affective states or associated contexts. However, these factors and states are highly idiographic; thus, prediction models based on averages across individuals often fail.

Objective

We developed an idiographic, within-individual binge-eating prediction approach based on ecological momentary assessment (EMA) data.

Methods

We first derived a novel EMA-item set that covers a broad set of potential idiographic binge-eating antecedents from literature and an eating disorder focus group (n=11). The final EMA-item set (6 prompts per day for 14 days) was assessed in female patients with bulimia nervosa or binge-e

SUBMITTER: Arend AK 

PROVIDER: S-EPMC9999257 | biostudies-literature | 2023 Feb

REPOSITORIES: biostudies-literature