Evidence map›Paper›PMID 38445416›Full record

ArticleThe International journal of eating disorders2024

Eating disorder symptoms and comorbid mental health risk among teens recruited to a digital intervention research study via two online approaches.

Erin Kasson, Hannah S Szlyk, Xiao Li, Anna Constantino-Pettit, Arielle C Smith, Melissa M Vázquez, Denise E Wilfley, C Barr Taylor, Ellen E Fitzsimmons-Craft, Patricia Cavazos-Rehg

Open access · bronzeAbstract 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 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
2.6field-weighted citation impact, top 12% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Trial
  2. Article
  3. Review
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 3 institutions in 1 country.

Erin KassonDepartment of Psychiatry, Washington University School of Medicine, St. Louis, Missouri, USA.ORCID 0000-0003-4888-3319
Hannah S SzlykDepartment of Psychiatry, Washington University School of Medicine, St. Louis, Missouri, USA.ORCID 0000-0001-7337-8475
Xiao LiDepartment of Psychiatry, Washington University School of Medicine, St. Louis, Missouri, USA.ORCID 0000-0002-3649-1820
Anna Constantino-PettitDepartment of Psychiatry, Washington University School of Medicine, St. Louis, Missouri, USA.ORCID 0000-0001-8153-5178
Arielle C SmithDepartment of Medical Social Sciences, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA.ORCID 0000-0003-4679-1808
Melissa M VázquezDepartment of Psychiatry, Washington University School of Medicine, St. Louis, Missouri, USA.ORCID 0000-0002-4651-7561
Denise E WilfleyDepartment of Psychology, Washington University in St. Louis, St. Louis, Missouri, USA.ORCID 0000-0002-3599-8689
C Barr TaylorDepartment of Psychiatry and Behavioral Science, Stanford University School of Medicine, Stanford, California, USA.ORCID 0000-0002-4564-6548
Ellen E Fitzsimmons-CraftDepartment of Psychiatry, Washington University School of Medicine, St. Louis, Missouri, USA.ORCID 0000-0001-7064-3835
Patricia Cavazos-RehgDepartment of Psychiatry, Washington University School of Medicine, St. Louis, Missouri, USA.ORCID 0000-0003-3352-1198
Washington University in St. Louis · USNorthwestern University · USPalo Alto University · US

Funding

Washington University Nutrition Obesity Research CenterP30DK056341 · NIDDK · WASHINGTON UNIVERSITY · PI Dominic N Reeds · 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
Training LEADers to Accelerate Global Mental Health Disparities in Research (LEAD)T37MD014218 · NIMHD · WASHINGTON UNIVERSITY · PI CAVAZOS-REHG, PATRICIA A, SSEWAMALA, FRED M · 2019 to 2023
$1.3M
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
Leveraging Social Media to Identify and Connect Teens with Eating Disorders to a Mobile Guided Self-Help Mobile InterventionR34MH119170 · NIMH · WASHINGTON UNIVERSITY · PI CAVAZOS-REHG, PATRICIA A, WILFLEY, DENISE ELLA · 2019 to 2021
$709k
Leveraging Social Media for Substance Use Behavioral Insight K02DA043657 · NIDA · WASHINGTON UNIVERSITY · PI CAVAZOS-REHG, PATRICIA A · 2017 to 2021
$591k
NIDA NIH HHS K02 DA043657NIDDK NIH HHS P30 DK056341NIDDK NIH HHS P30 DK092950NIMHD NIH HHS T37 MD014218NIMH NIH HHS K08 MH120341NIMH NIH HHS R34 MH119170
6 · The paper itself

Abstract

introductionIt is crucial to identify and evaluate feasible, proactive ways to reach teens with eating disorders (EDs) who may not otherwise have access to screening or treatment. This study aimed to explore the feasibility of recruiting teens with EDs to a digital intervention study via social media and a publicly available online ED screen, and to compare the characteristics of teens recruited by each approach in an exploratory fashion.

methodTeens aged 14-17 years old who screened positive for a clinical/subclinical ED or at risk for an ED and who were not currently in ED treatment completed a baseline survey to assess current ED symptoms, mental health comorbidities, and barriers to treatment. Bivariate analyses were conducted to examine differences between participants recruited via social media and those recruited after completion of a widely available online EDs screen (i.e., National Eating Disorders Association [NEDA] screen).

resultsRecruitment of teens with EDs using the two online approaches was found to be feasible, with 934 screens completed and a total of 134 teens enrolled over 6 months: 77% (n = 103) via social media 23% (n = 31) via the NEDA screen. Mean age of participants (N = 134) was 16 years old, with 49% (n = 66) identifying as non-White, and 70% (n = 94) identifying as a gender and/or sexual minority. Teens from NEDA reported higher ED psychopathology scores (medium effect size) and more frequent self-induced vomiting and driven exercise (small effect sizes). Teens from NEDA also endorsed more barriers to treatment, including not feeling ready for treatment and not knowing where to find a counselor or other resources (small effect sizes). DISCUSSION: Online recruitment approaches in this study reached a large number of teens with an interest in a digital intervention to support ED recovery, demonstrating the feasibility of these outreach methods. Both approaches reached teens with similar demographic characteristics; however, teens recruited from NEDA reported higher ED symptom severity and barriers to treatment. Findings suggest that proactive assessment and intervention methods should be developed and tailored to meet the needs of each of these groups. PUBLIC SIGNIFICANCE: This study examined the feasibility of recruiting teens with EDs to a digital intervention research study via social media and NEDA's online screen, and demonstrated differences in ED symptoms among participants by recruitment approach.

Indexed as

ComorbidityFeeding and Eating DisordersSocial MediaAdolescentFeasibility StudiesFemaleHumansInternetMaleMental DisordersMental HealthPatient SelectionSurveys and Questionnairesbarriers to treatmenteating disordersmHealthscreeningsocial mediateens

Identifiers

PMID38445416
PMCPMC11262972
OpenAlexW4392517035

What OpenQuestion holds

Textmetadata
LicenceTDM
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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.