Study protocol for a parallel-group, randomized controlled trial of enhanced cue exposure therapy for negative emotional eating

If shown to be efficacious, E-CET can be implemented to reduce NEE. This study will be the first experimental evaluation of the mediating effects of CS-US expectancy violation in the working of E-CET for NEE to inform developments of the theories on CET and NEE.

Authors

Institutions

Publication Details

Journal
Contemporary Clinical Trials
Published
2025-05-18
DOI
https://doi.org/10.1016/j.cct.2025.107955
Citations
1
Primary Topic
Eating Disorders and Behaviors
Type
article
Field-Weighted Citation Impact
2.31

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Study protocol for a parallel-group, randomized controlled trial of enhanced cue exposure therapy for negative emotional eating

Wing Yee Cheng, Wai Sze Chan
1 citations
Contemporary Clinical Trials
Eating Disorders and Behaviors
2.31
article

Study protocol for a parallel-group, randomized controlled trial of enhanced cue exposure therapy for negative emotional eating

Wing Yee Cheng, Wai Sze Chan
article en
1 citations

Abstract

If shown to be efficacious, E-CET can be implemented to reduce NEE. This study will be the first experimental evaluation of the mediating effects of CS-US expectancy violation in the working of E-CET for NEE to inform developments of the theories on CET and NEE.

Contemporary Clinical TrialsVol. 154
University of Hong Kong (HK)
University Grants Committee
Zero hunger
Openalex Percentile: Top 14%
Eating Disorders and Behaviors
2.31
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.