Evidence map›Paper›PMID 42539037›Full record

ArticlemedRxiv : the preprint server for health sciences2026

Precision psychological markers enable targeted treatment in digital eating disorder interventions.

Eric Hurwitz, Lindsay Merchant, Rachael E Flatt, Kylie K Reed, Zachary Butzin-Dozier, Melissa A Haendel, Laura M Thornton, Cynthia M Bulik, Rachel Presskreischer

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Eric HurwitzDepartment of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC.ORCID 0000-0002-6581-7754
Lindsay MerchantDepartment of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC.ORCID 0009-0001-4381-7534
Rachael E FlattDepartment of Psychiatry, Boston Children's Hospital, Boston, MA.ORCID 0000-0002-2661-7987
Kylie K ReedDepartment of Molecular Genetics and Microbiology, Duke University, Durham, NC.ORCID 0000-0003-1632-7844
Zachary Butzin-DozierDivision of Biostatistics, School of Public Health, University of California, Berkeley, Berkeley, CA.ORCID 0000-0001-6419-0008
Melissa A HaendelDepartment of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC.ORCID 0000-0001-9114-8737
Laura M ThorntonDepartment of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC.ORCID 0000-0001-9384-7988
Cynthia M BulikDepartment of Nutrition, University of North Carolina at Chapel Hill, Chapel Hill, NC.ORCID 0000-0001-7772-3264
Rachel PresskreischerDepartment of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC.ORCID 0000-0001-5069-1776

Funding

Improvements to the LinkML framework to support the Phenomics First open science resourceRM1HG010860 · NHGRI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI HAENDEL, MELISSA A, MUNGALL, CHRISTOPHER J · 2020 to 2024
$10.3M
1/3 Eating Disorders Genetics Initiative 2 (EDGI2)R01MH136149 · NIMH · UNIV OF NORTH CAROLINA CHAPEL HILL · PI CYNTHIA M BULIK, Laura Marianne Huckins · 2024 to 2026
$5.1M
1/7 PGC: Advancing Discovery and ImpactR01MH124871 · NIMH · UNIV OF NORTH CAROLINA CHAPEL HILL · PI BULIK, CYNTHIA M, SULLIVAN, PATRICK F · 2021 to 2025
$3.5M
Predicting Binge and Purge Episodes from Passive and Active Apple Watch Data Using a Dynamical Systems ApproachR01MH119084 · NIMH · UNIV OF NORTH CAROLINA CHAPEL HILL · PI BULIK, CYNTHIA M, BUTNER, JONATHAN · 2019 to 2022
$2.8M
1/7 Psychiatric Genomics Consortium: Finding actionable variationU01MH109528 · NIMH · UNIV OF NORTH CAROLINA CHAPEL HILL · PI SULLIVAN, PATRICK F · 2016 to 2020
$2.5M
Integrating developmental and genomic approaches to identify early trajectories of eating and internalizing disorder symptomsR01MH134039 · NIMH · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Nadia Micali, Jin Peng Szatkiewicz · 2024 to 2026
$1.6M
Genetic Architecture of Avoidant/Restrictive Food Intake DisorderR56MH129437 · NIMH · UNIV OF NORTH CAROLINA CHAPEL HILL · PI BULIK, CYNTHIA M, MICALI, NADIA · 2022 to 2023
$1.5M
NHGRI NIH HHS RM1 HG010860NIMH NIH HHS R01 MH119084NIMH NIH HHS R01 MH124871NIMH NIH HHS R01 MH134039NIMH NIH HHS R01 MH136149NIMH NIH HHS R56 MH129437NIMH NIH HHS U01 MH109528
6 · The paper itself

Abstract

Digital mental health interventions for eating disorders can expand treatment access, but high attrition rates and heterogenous patient responses indicate a need for precision medicine approaches that identify which patients will benefit most and predict their treatment outcomes. We analyzed 30 days of Recovery Record (a widely-adopted digital intervention for eating disorders) data from 1,166 participants with lifetime bulimia nervosa or binge-eating disorder, with assessments at baseline, midpoint, and endpoint. We identified three symptoms (eating preoccupation, shape/weight preoccupation, and fear of losing control over eating) as precision psychological markers that predict and inform treatment response. These symptoms demonstrated the strongest correlations with overall symptom improvement measured by the Eating Disorder Examination Questionnaire (EDE-Q) Global score (

Identifiers

PMID42539037
PMCPMC13419651

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.