The Effect of Childhood Experiences, Picky Eating, and Hedonic Hunger on Eating Addiction in University Students: Analyzed by Machine Learning Approach

In our study, childhood experiences, picky eating status, and hedonic hunger status were found to affect eating addiction. Longitudinal studies on eating addiction in young people are recommended.

Authors

Institutions

Publication Details

Journal
Brain and Behavior
Published
2025-07-01
DOI
https://doi.org/10.1002/brb3.70667
Citations
1
Primary Topic
Eating Disorders and Behaviors
Type
article
Field-Weighted Citation Impact
2.31
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The Effect of Childhood Experiences, Picky Eating, and Hedonic Hunger on Eating Addiction in University Students: Analyzed by Machine Learning Approach

Muhammet Ali Aydın, Metin Yıldız, İzzet Ülker, Ceren Karabulutlu
1 citations
Brain and Behavior
Eating Disorders and Behaviors
2.31
article

The Effect of Childhood Experiences, Picky Eating, and Hedonic Hunger on Eating Addiction in University Students: Analyzed by Machine Learning Approach

Muhammet Ali Aydın, Metin Yıldız, İzzet Ülker, Ceren Karabulutlu
article en
1 citations

Abstract

In our study, childhood experiences, picky eating status, and hedonic hunger status were found to affect eating addiction. Longitudinal studies on eating addiction in young people are recommended.

Brain and BehaviorVol. 15(7)
Sakarya University (TR), Erzurum Technical University (TR), Atatürk University (TR)
Zero hunger
Openalex Percentile: Top 13%
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.