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Sensor technology in eating disorders research: A systematic review.

Emily K Presseller^1,2, Anna Gabrielle G Patarinski¹, Stephanie C Fan¹

¹Department of Psychological and Brain Sciences, Drexel University, Philadelphia, Pennsylvania, USA.

The International Journal of Eating Disorders

|April 30, 2022

Summary

Sensor technologies offer objective ways to study eating disorders (EDs). While feasible, more research is needed on sensor reliability, validity, and diverse populations in ED research.

Keywords:

anorexia nervosa binge eating disorder bulimia nervosa eating disorders objective measurement sensor technology

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Control of Eating Behavior Using a Novel Feedback System

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Published on: May 8, 2018

Concept Development and Use of an Automated Food Intake and Eating Behavior Assessment Method

Concept Development and Use of an Automated Food Intake and Eating Behavior Assessment Method

Published on: February 19, 2021

A Computer-Based Platform for Aiding Clinicians in Eating Disorder Analysis and Diagnosis

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Published on: May 10, 2022

Area of Science:

Psychiatry and Behavioral Sciences
Biomedical Engineering
Digital Health

Background:

Eating disorders (EDs) are complex mental health conditions.
Objective measurement of psychopathological correlates is crucial for ED research.
Sensor technologies present novel opportunities for objective data collection in EDs.

Purpose of the Study:

To review sensor technologies used in eating disorder research.
To identify psychopathological factors assessed by sensors in EDs.
To evaluate the validity, reliability, and limitations of these sensors.

Main Methods:

Systematic literature search across major databases (PubMed, PsycINFO, Web of Science, ProQuest) and gray literature.
Inclusion of empirical studies using sensors to measure psychological variables in clinical ED populations.
Analysis of sensor types, psychopathological factors, validity, reliability, and limitations.

Main Results:

Sensors have measured eating behaviors, physical activity, sleep, autonomic nervous system activity, and visual-perceptual functions in ED samples.
The reliability and validity of sensors vary significantly across studies.
Significant gaps exist in sensor types, application contexts, and population diversity.

Conclusions:

Sensor technologies show feasibility and acceptability for ED research.
Further research should focus on enhancing sensor reliability and validity in ED populations.
Increasing sample diversity is essential for broader applicability of sensor findings.