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Interactions between different eating patterns on recurrent binge-eating behavior: A machine learning approach.

Jake Linardon¹, Mariel Messer¹, Eric R Helms²

¹School of Psychology, Deakin University, Geelong, Victoria, Australia.

The International Journal of Eating Disorders

|January 31, 2020

Summary

This summary is machine-generated.

Interactions between eating patterns like intuitive eating and rigid restraint significantly predict binge eating. Understanding these complex relationships is key to identifying individuals at risk for recurrent binge eating episodes.

Keywords:

binge eating decision tree classification dietary restraint intuitive eating

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Area of Science:

Psychology
Behavioral Science
Machine Learning in Health

Background:

Distinct eating patterns (rigid restraint, flexible restraint, intuitive eating) show differential associations with binge eating.
These eating patterns are not mutually exclusive, suggesting complex interactions influence disordered eating behaviors.

Purpose of the Study:

To investigate the interactive effects of various eating patterns in distinguishing between recurrent and non-recurrent binge eating.
To apply machine learning classification to identify key predictors of binge eating episodes.

Main Methods:

A machine learning-based decision tree classification analysis was employed.
Data from 1,341 participants were analyzed, classifying individuals based on recurrent binge eating episodes (≥4 in the past month).

Main Results:

The model accurately classified approximately 70% of participants regarding recurrent binge eating.
Intuitive eating was a primary classifier, with high scores associated with lower binge eating incidence.
A combination of low intuitive eating and high dichotomous thinking significantly increased the likelihood of recurrent binge eating (84% incidence).
Interactions between rigid restraint, flexible restraint, and BMI also emerged as significant factors influencing binge eating rates.

Conclusions:

Recurrent binge eating can be distinguished by the interplay of multiple eating patterns, not just individual behaviors.
Exploratory analyses generated hypotheses regarding these interactions that require confirmatory research.