# Investigating relationships between problematic social media use and binge-eating disorder to inform precision guidance for adolescents

> **NIH NIH R01** · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · 2023 · $539,617

## Abstract

PROJECT SUMMARY / ABSTRACT
 Nearly 30 million individuals in the US will suffer from an eating disorder in their lifetime, with onset most
commonly in adolescence and with $65 billion in yearly economic costs. The most prevalent of all eating
disorder phenotypes is binge-eating disorder, which affects 3-5% of the US population and portends an array
of medical and psychiatric sequelae, including cardiometabolic disease and elevated suicidality. Social media
use is ubiquitous among adolescents and implicated in binge-eating disorder, but the directionality and
mechanisms remain unclear. Possible pathways include depression, anxiety, cyberbullying, stress, and poor
sleep. Prior studies have been mostly cross-sectional, and patterns and associations may differ for diverse
subpopulations (e.g., race/ethnicity, gender, sexual orientation). The prevention of binge-eating disorder
requires accurate prediction. Mobile phone use patterns could predict binge-eating disorder; binge-scrolling
social media could predict binge eating. Current guidance for adolescent social media use is limited and non-
specific. Our long-term goal is to inform precision guidance for social media use for adolescents, parents, and
clinicians to mitigate adverse mental health risks and optimize wellbeing. Our objective is to identify
prospective associations, sensitive periods, and mechanisms between social media and binge-eating disorder
from early to late adolescence. Our central hypothesis is that problematic social media behavior patterns (e.g.,
addiction, conflict, overuse, tolerance, and relapse) can predict binge-eating disorder through depression,
anxiety, cyberbullying, stress, and poor sleep. To achieve our objective, we will leverage comprehensive
assessments of social media use (problematic social media use and a novel objective mobile phone tracking
app) and binge-eating behaviors and disorder among a diverse national prospective cohort in the Adolescent
Brain Cognitive Development (ABCD) Study (N=11,875), followed annually (6 years completed). The cohort
uniquely starts prior to adolescence to capture onset of social media and binge-eating patterns through early,
mid, and late-adolescence. We will use robust longitudinal and machine learning methods to analyze all
available years of data in the ABCD Study. Our specific aims will: 1) determine longitudinal associations,
bidirectional relationships, and sensitive windows linking problematic social media use patterns and binge-
eating disorder, applying an intersectional framework to characterize heterogeneity by race/ethnicity, gender,
and sexual orientation; 2) identify mechanisms linking problematic social media use with binge-eating disorder;
3) use machine learning algorithms applied to mobile phone data to determine the extent to which social media
use patterns over time can predict binge-eating disorder; and 4) translate findings to inform guidance for
adolescents, parents, and clinicians. We will partner with a ...

## Key facts

- **NIH application ID:** 10815182
- **Project number:** 1R01MH135492-01
- **Recipient organization:** UNIVERSITY OF CALIFORNIA, SAN FRANCISCO
- **Principal Investigator:** Jason M Nagata
- **Activity code:** R01 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2023
- **Award amount:** $539,617
- **Award type:** 1
- **Project period:** 2023-09-15 → 2028-06-30

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10815182

## Citation

> US National Institutes of Health, RePORTER application 10815182, Investigating relationships between problematic social media use and binge-eating disorder to inform precision guidance for adolescents (1R01MH135492-01). Retrieved via AI Analytics 2026-05-24 from https://api.ai-analytics.org/grant/nih/10815182. Licensed CC0.

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