Evidence map›Paper›PMID 35719123›Full record

ArticleThe International journal of eating disorders2022

Predictors of treatment seeking and uptake among respondents to a widely disseminated online eating disorders screen in the United States.

Anne Claire Grammer, Jillian Shah, Agatha A Laboe, Claire G McGinnis, Katherine N Balantekin, Andrea K Graham, Lauren Smolar, C Barr Taylor, Denise E Wilfley, Ellen E Fitzsimmons-Craft

Open access · greenAbstract read
In one paragraph

Article in The International journal of eating disorders, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
4.0field-weighted citation impact, top 6% of its field
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

15 citing papers in PubMed, 21 citations in OpenAlex.

  1. Bulimia nervosa.Nature reviews. Disease primers · 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

10 authors at 5 institutions in 1 country.

Anne Claire GrammerDepartment of Psychiatry, Washington University School of Medicine, St. Louis, Missouri, USA.ORCID 0000-0001-9163-7055
Jillian ShahDepartment of Psychiatry, Washington University School of Medicine, St. Louis, Missouri, USA.ORCID 0000-0001-6006-3263
Agatha A LaboeDepartment of Psychiatry, Washington University School of Medicine, St. Louis, Missouri, USA.
Claire G McGinnisDepartment of Psychiatry, Washington University School of Medicine, St. Louis, Missouri, USA.
Katherine N BalantekinDepartment of Exercise and Nutrition Sciences, University at Buffalo, Buffalo, New York, USA.ORCID 0000-0002-6760-2714
Andrea K GrahamDepartment of Medical Social Sciences, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA.ORCID 0000-0002-9736-8906
Lauren SmolarNational Eating Disorders Association, New York, New York, USA.
C Barr TaylorDepartment of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, California, USA.ORCID 0000-0002-4564-6548
Denise E WilfleyDepartment of Psychiatry, Washington University School of Medicine, St. Louis, Missouri, USA.ORCID 0000-0002-3599-8689
Ellen E Fitzsimmons-CraftDepartment of Psychiatry, Washington University School of Medicine, St. Louis, Missouri, USA.ORCID 0000-0001-7064-3835
Washington University in St. Louis · USNational Eating Disorders Association · USNorthwestern University · USPalo Alto University · USUniversity at Buffalo, State University of New York · US

Funding

Washington University Nutrition Obesity Research CenterP30DK056341 · NIDDK · WASHINGTON UNIVERSITY · PI Brian N Finck · 1999 to 2026
$30.2M
Washington University Center for Diabetes Translation Research P30DK092950 · NIDDK · WASHINGTON UNIVERSITY · PI Ross C Brownson, Debra Haire-Joshu · 2011 to 2026
$11.7M
WUSTL Transdisciplinary Pre- and Postdoctoral Training Program in Obesity and Cardiovascular DiseaseT32HL130357 · NHLBI · WASHINGTON UNIVERSITY · PI WILFLEY, DENISE ELLA · 2016 to 2025
$4.3M
Using Technology to Improve Eating Disorders TreatmentR01MH100455 · NIMH · WASHINGTON UNIVERSITY · PI TAYLOR, CRAIG BARR, WILFLEY, DENISE ELLA · 2013 to 2017
$3.4M
Developing an Optimized Conversational Agent or "Chatbot" to Facilitate Mental Health Services Use in Individuals with Eating DisordersK08MH120341 · NIMH · WASHINGTON UNIVERSITY · PI FITZSIMMONS-CRAFT, ELLEN E. · 2019 to 2023
$824k
Testing Intervention Strategies for Addressing Obesity and Binge EatingK01DK116925 · NIDDK · NORTHWESTERN UNIVERSITY AT CHICAGO · PI GRAHAM, ANDREA KASS · 2018 to 2022
$799k
The Intersection between Loss of Control Eating and Obesity: The Role of Restriction and Food Reinforcement.K01DK120778 · NIDDK · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI BALANTEKIN, KATHERINE NAIME · 2020 to 2024
$785k
A Naturalistic Examination of Dietary Lapses in Low-Income, Treatment-Seeking Families with ObesityF31HL158000 · NHLBI · WASHINGTON UNIVERSITY · PI GRAMMER, ANNE CLAIRE · 2021 to 2022
$92k
NHLBI NIH HHS F31 HL158000NHLBI NIH HHS T32 HL130357NIDDK NIH HHS K01 DK116925NIDDK NIH HHS K01 DK120778NIDDK NIH HHS P30 DK056341NIDDK NIH HHS P30 DK092950NIMH NIH HHS K08 MH120341NIMH NIH HHS R01 MH100455
6 · The paper itself

Abstract

objectiveTo explore predictors of treatment seeking and uptake among individuals following an online eating disorders (EDs) screen in the U.S. disseminated by the National Eating Disorders Association.

methodRespondents who screened at risk or positive for a probable ED from 04/2019 to 05/2021 (N = 263,530) were eligible to complete a 2-month follow-up survey that assessed treatment seeking and uptake after being offered referral options following screening. Analyses were conducted using chi-square tests or logistic regressions.

resultsSixty thousand thirty-four respondents (22.8%) opted-in to the follow-up survey, of whom 2276 (3.8%) completed it. Of the final analytic sample (n = 1922), 35.7% of respondents reported seeking and 22.4% reported receiving treatment. Treatment seeking and uptake were more common among respondents who were female, White, or >24 years of age; uptake was more common among respondents who were non-Hispanic or higher income. Elevated shape/weight concerns were significantly, albeit modestly, associated with reduced likelihood to receive treatment. DISCUSSION: Demographic differences in treatment seeking and uptake highlight the need to optimize ED screening tools/feedback to meet the needs of underserved groups and to address stereotypes and structural barriers that may interfere. Research is also needed to identify barriers to uptake among those with elevated shape/weight concerns. PUBLIC SIGNIFICANCE: Relatively low rates of treatment seeking and uptake were observed, particularly among underserved groups, 2 months following a widely disseminated online eating disorders screen. Optimization of online eating disorder screening tools and delivery of feedback and referral information may be needed to increase health care utilization.

Indexed as

Feeding and Eating DisordersFemaleHumansMaleMass ScreeningPatient Acceptance of Health CareReferral and ConsultationSurveys and QuestionnairesUnited Stateseating disordershealth care utilizationonlinescreeninguptake

Identifiers

PMID35719123
PMCPMC9444923
OpenAlexW4283217054

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.