Evidence map›Paper›PMID 39115175›Full record

ArticleThe International journal of eating disorders2024

Assessing Avoidant/Restrictive Food Intake Disorder (ARFID) Symptoms Using the Nine Item ARFID Screen in >9000 Swedish Adults With and Without Eating Disorders.

Emily K Presseller, Gabrielle E Cooper, Laura M Thornton, Andreas Birgegård, Afrouz Abbaspour, Cynthia M Bulik, Emma Forsén Mantilla, Lisa Dinkler

Abstract read
In one paragraph

Article in The International journal of eating disorders, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Endorsement of Avoidant/Restrictive Eating Motivations Across Restrictive Eating Disorders: A Trait- and State-Level Examination.European eating disorders review : the journal of the Eating Disorders Association · 2026
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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

8 authors.

Emily K PressellerDepartment of Psychological and Brain Sciences, Drexel University, Philadelphia, Pennsylvania, USA.ORCID 0000-0001-6854-1207
Gabrielle E CooperDepartment of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.ORCID 0009-0000-7288-080X
Laura M ThorntonDepartment of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.ORCID 0000-0001-9384-7988
Andreas BirgegårdDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.ORCID 0000-0003-1220-9680
Afrouz AbbaspourDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.ORCID 0000-0002-1337-0102
Cynthia M BulikDepartment of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.ORCID 0000-0001-7772-3264
Emma Forsén MantillaDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.ORCID 0000-0001-9550-3820
Lisa DinklerDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.ORCID 0000-0002-9901-4984

Funding

Eating Disorders Genetics Initiative (EDGI)R01MH120170 · NIMH · UNIV OF NORTH CAROLINA CHAPEL HILL · PI BULIK, CYNTHIA M · 2019 to 2023
$7.2M
Predicting the multi-omic impact of psychiatric GWAS associationsR01MH118278 · NIMH · YALE UNIVERSITY · PI HUCKINS, LAURA MARIANNE · 2019 to 2023
$3.6M
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
Postdoctoral Research Training in Eating DisordersT32MH076694 · NIMH · UNIV OF NORTH CAROLINA CHAPEL HILL · PI BULIK, CYNTHIA M · 2007 to 2016
$1.8M
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
Ventral and dorsal visual streams in action planningK01MH002022 · NIMH · UNIVERSITY OF OREGON · PI FREY, SCOTT H · 2002 to 2005
$632k
Using Wearable Passive Sensing to Predict Engagement in Binge Eating in Response to Negative Affect: A Multimethod Investigation of Predictive Utility, Feasibility, and AcceptabilityF31MH131262 · NIMH · DREXEL UNIVERSITY · PI PRESSELLER, EMILY KELLEY · 2022 to 2024
$96k
NIMH NIH HHS F31 MH131262NIMH NIH HHS R01 MH118278NIMH NIH HHS R01 MH119084NIMH NIH HHS R01 MH120170NIMH NIH HHS R01 MH124871NIMH NIH HHS R56 MH129437NIMH NIH HHS T32 MH076694
6 · The paper itself

Abstract

objectiveThe Nine Item ARFID Scale (NIAS) is a widely used measure assessing symptoms of avoidant/restrictive food intake disorder (ARFID). Previous studies suggest that individuals with eating disorders driven by shape/weight concerns also have elevated scores on the NIAS. To further describe NIAS scores among individuals with diverse current and previous eating disorders, we characterized NIAS scores in a large sample of individuals with eating disorders and evaluated overlap in symptoms measured by the NIAS and the Eating Disorder Examination-Questionnaire (EDE-Q) version 6.0.

methodOur sample comprised 9148 participants from the Eating Disorders Genetics Initiative Sweden (EDGI-SE), who completed surveys including NIAS and EDE-Q. NIAS scores were calculated and compared by eating disorder diagnostic group using descriptive statistics and linear models.

resultsParticipants with current anorexia nervosa demonstrated the highest mean NIAS scores and had the greatest proportion (57.0%) of individuals scoring above a clinical cutoff on at least one of the NIAS subscales. Individuals with bulimia nervosa, binge-eating disorder, and other specified feeding or eating disorder also demonstrated elevated NIAS scores compared to individuals with no lifetime history of an eating disorder (ps < 0.05). All subscales of the NIAS showed small to moderate correlations with all subscales of the EDE-Q (rs = 0.26-0.40). DISCUSSION: Our results substantiate that individuals with eating disorders other than ARFID demonstrate elevated scores on the NIAS, suggesting that this tool is inadequate on its own for differentiating ARFID from shape/weight-motivated eating disorders. Further research is needed to inform clinical interventions addressing the co-occurrence of ARFID-related drivers and shape/weight-related motivation for dietary restriction.

Indexed as

Avoidant Restrictive Food Intake DisorderFeeding and Eating DisordersAdolescentAdultFemaleHumansMaleMiddle AgedSurveys and QuestionnairesSwedenYoung Adultadultsanorexia nervosaassessmentavoidant/restrictive food intake disorderbinge‐eating disorderbulimia nervosascreening

Identifiers

PMID39115175
PMCPMC11560655

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.