Evidence map›Paper›PMID 39548897›Full record

ArticleThe International journal of eating disorders2025

Exploring Reciprocal Associations Between Self-Reported Anxiety and Eating Disorder Symptoms Longitudinally: A Bivariate Latent Change Score Approach.

Erin E Reilly, Tiffany A Brown, Christopher R DeJesus, Walter H Kaye, Christina E Wierenga

Abstract read
In one paragraph

Article in The International journal of eating disorders, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

5 authors.

Erin E ReillyDepartment of Psychiatry and Behavioral Sciences, University of California, San Francisco, California, USA.ORCID 0000-0001-9269-0747
Tiffany A BrownDepartment of Psychological Sciences, Auburn University, Auburn, Alabama, USA.ORCID 0000-0002-7349-7228
Christopher R DeJesusNational Center for PTSD, Behavioral Science Division, Virginia Boston Healthcare System, Boston, Massachusetts, USA.
Walter H KayeEating Disorders Treatment and Research Program, Department of Psychiatry, University of California, San Diego, California, USA.ORCID 0000-0002-4478-4906
Christina E WierengaEating Disorders Treatment and Research Program, Department of Psychiatry, University of California, San Diego, California, USA.ORCID 0000-0002-4843-1809

Funding

Postdoctoral Training Program in Stress and TraumaT32MH019836 · NIMH · TUFTS UNIVERSITY BOSTON · PI DENISE M. SLOAN · 1996 to 2026
$4.7M
Incentive Processing and Learning in Anorexia Nervosa and Bulimia NervosaR01MH125880 · NIMH · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI CHRISTINA E WIERENGA · 2022 to 2026
$3.6M
Targeting Minority Stressors to Improve Eating Disorder Symptoms in Sexual Minority Individuals with Eating DisordersR61MH133710 · NIMH · AUBURN UNIVERSITY AT AUBURN · PI BLASHILL, AARON J, BROWN, TIFFANY ASHTON · 2024 to 2025
$1.9M
Using Computational Modeling to Test Reinforcement Learning as a Predictor of Response in Family-Based Treatment for Adolescent Anorexia NervosaK23MH131871 · NIMH · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Erin E. Reilly · 2022 to 2026
$982k
Avoidance-driven Decision Making and Learning in Anorexia Nervosa and Bulimia NervosaR21MH135070 · NIMH · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI WIERENGA, CHRISTINA E · 2024 to 2024
$437k
Arlene and Michael Rosen FoundationNIMH NIH HHS K23 MH131871NIMH NIH HHS K23MH131871NIMH NIH HHS R01 MH125880NIMH NIH HHS R01MH125880NIMH NIH HHS R21 MH135070NIMH NIH HHS R21MH135070NIMH NIH HHS R61 MH133710NIMH NIH HHS T32 MH019836NIMH NIH HHS T32MH019836
6 · The paper itself

Abstract

objectiveConsistent data support an association between anxiety and eating disorders (EDs), and theoretical models of EDs suggest that anxiety may be involved in the etiology and maintenance of ED symptoms over time. However, the directionality of relations between these variables remains under-characterized, particularly within treatment settings.

methodWe used bivariate latent change score models to explore longitudinal associations between anxiety and ED symptoms in a sample of ED patients (N = 548, 93.2% female, Mage = 21.16, 78.8% White, 79.6% Non-Hispanic/Latinx) throughout intensive treatment and at 6- and 12-month follow-up.

resultsBest-fitting models exploring change in each variable independently (i.e., univariate models) suggested that changes in ED and anxiety symptoms decreased over time, but that change was influenced by an individual's symptom severity at the previous timepoint. Models exploring associations between changes in both variables over time (i.e., bivariate latent change score models) suggested the best fit for a model where both anxiety and ED symptoms at one timepoint were associated with later change in the other. Specifically, parameters within these models suggested that higher levels of anxiety were associated with increased subsequent reductions in ED symptoms, whereas elevations in ED symptoms were associated with decreased later reductions in anxiety.

conclusionsOur findings suggest that anxiety and ED symptoms are intricately related both within and outside of intensive treatment. Future multi-modal research exploring real-time links between anxiety and ED symptoms throughout treatment is critical to extend this work and inform improvements in targeted, mechanistic interventions for this population.

Indexed as

AnxietyFeeding and Eating DisordersAdolescentAdultFemaleHumansLongitudinal StudiesMaleSelf ReportYoung Adultanxietybivariate latent change scoreseating disorderslongitudinaltreatment

Identifiers

PMID39548897
PMCPMC11864894

What OpenQuestion holds

Textmetadata
LicenceTDM
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.