Psychometric evaluation of the Adult Eating Behavior Questionnaire and its relationship with body mass index among Chinese university students: a cross-sectional validation study

The AEBQ is a reliable and valid psychological measurement for assessing appetitive traits in Chinese adults and conducting large-scale studies. Interventions targeting appetite traits provide new insights into weight management and obesity prevention.

Authors

Institutions

Publication Details

Journal
Frontiers in Public Health
Published
2025-11-12
DOI
https://doi.org/10.3389/fpubh.2025.1691302
Primary Topic
Eating Disorders and Behaviors
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Psychometric evaluation of the Adult Eating Behavior Questionnaire and its relationship with body mass index among Chinese university students: a cross-sectional validation study

Muhammad Waseem Shah, Da Pan, Guiju Sun, Jin Yang et al.
Frontiers in Public Health
Eating Disorders and Behaviors
article

Psychometric evaluation of the Adult Eating Behavior Questionnaire and its relationship with body mass index among Chinese university students: a cross-sectional validation study

Muhammad Waseem Shah, Da Pan, Guiju Sun, Jin Yang, Qinghua Yan
article en

Abstract

The AEBQ is a reliable and valid psychological measurement for assessing appetitive traits in Chinese adults and conducting large-scale studies. Interventions targeting appetite traits provide new insights into weight management and obesity prevention.

Frontiers in Public HealthVol. 13
Southeast University (CN)
Openalex Percentile: Top 54%
Eating Disorders and Behaviors
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.