Evidence map›Paper›PMID 26795936›Full record

Trial reportJournal of consulting and clinical psychology2016

Reducing eating disorder onset in a very high risk sample with significant comorbid depression: A randomized controlled trial.

C Barr Taylor, Andrea E Kass, Mickey Trockel, Darby Cunning, Hannah Weisman, Jakki Bailey, Meghan Sinton, Vandana Aspen, Kenneth Schecthman, Corinna Jacobi and 1 more

Open access · hybridAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Journal of consulting and clinical psychology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 2 pooled it
11.5field-weighted citation impact, top 1% 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

33 citing papers in PubMed, 2 syntheses or guidelines pooled it, 70 citations in OpenAlex.

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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

11 authors at 5 institutions in 2 countries.

C Barr TaylorDepartment of Psychiatry, Stanford Medical Center.
Andrea E KassDepartment of Psychology, Washington University in St. Louis.
Mickey TrockelDepartment of Psychiatry, Stanford Medical Center.
Darby CunningDepartment of Psychiatry, Stanford Medical Center.
Hannah WeismanDepartment of Counseling, Clinical, and School Psychology, University of California, Santa Barbara.
Jakki BaileyDepartment of Psychiatry, Stanford Medical Center.
Meghan SintonDepartment of Psychology, College of William & Mary.
Vandana AspenDepartment of Psychiatry, Stanford Medical Center.
Kenneth SchecthmanDepartment of Cardiology, Washington University School of Medicine.
Corinna JacobiKlinische Psychologie und Psychotherapie, Technische Universität Dresden.
Denise E WilfleyDepartment of Psychology, Washington University in St. Louis.
Stanford Medicine · USWashington University in St. Louis · USKlinik und Poliklinik für Psychotherapie und Psychosomatik · DEUniversity of California, Santa Barbara · USWilliam & Mary · US

Funding

Research Design, Data, and Analytics CoreP30DK092949 · NIDDK · UNIVERSITY OF CHICAGO · PI MONICA E PEEK · 2011 to 2026
$10.0M
NRSA INSTITUTIONAL TRAINING GRANTT32HS000078 · AHRQ · NORTHWESTERN UNIVERSITY AT CHICAGO · PI HOLL, JANE LOUISE · 1998 to 2018
$5.6M
NUTRITION-BEHAVIORAL CARDIOVASCULAR DISEASE PREVENTIONT32HL007456 · NHLBI · WASHINGTON UNIVERSITY · PI WILFLEY, DENISE ELLA · 1985 to 2014
$2.9M
Clinical Research in Eating Disorders and ObesityK24MH070446 · NIMH · WASHINGTON UNIVERSITY · PI WILFLEY, DENISE ELLA · 2004 to 2013
$1.4M
2/2-Preventing Eating Disorders and Reducing ComorbidityR01MH081125 · NIMH · WASHINGTON UNIVERSITY · PI WILFLEY, DENISE ELLA · 2009 to 2010
$1.0M
AHRQ HHS T32 HS000078NHLBI NIH HHS T32 HL007456NIDDK NIH HHS P30 DK092949NIMH NIH HHS K24 MH070446NIMH NIH HHS R01 MH081125
6 · The paper itself

Abstract

objectiveEating disorders (EDs) are serious problems among college-age women and may be preventable. An indicated online eating disorder (ED) intervention, designed to reduce ED and comorbid pathology, was evaluated.

method206 women (M age = 20 ± 1.8 years; 51% White/Caucasian, 11% African American, 10% Hispanic, 21% Asian/Asian American, 7% other) at very high risk for ED onset (i.e., with high weight/shape concerns plus a history of being teased, current or lifetime depression, and/or nonclinical levels of compensatory behaviors) were randomized to a 10-week, Internet-based, cognitive-behavioral intervention or waitlist control. Assessments included the Eating Disorder Examination (EDE, to assess ED onset), EDE-Questionnaire, Structured Clinical Interview for DSM Disorders, and Beck Depression Inventory-II.

resultsED attitudes and behaviors improved more in the intervention than control group (p = .02, d = 0.31); although ED onset rate was 27% lower, this difference was not significant (p = .28, NNT = 15). In the subgroup with highest shape concerns, ED onset rate was significantly lower in the intervention than control group (20% vs. 42%, p = .025, NNT = 5). For the 27 individuals with depression at baseline, depressive symptomatology improved more in the intervention than control group (p = .016, d = 0.96); although ED onset rate was lower in the intervention than control group, this difference was not significant (25% vs. 57%, NNT = 4).

conclusionsAn inexpensive, easily disseminated intervention might reduce ED onset among those at highest risk. Low adoption rates need to be addressed in future research.

Indexed as

Cognitive Behavioral TherapyInternetAdultComorbidityDepressionDepressive DisorderFeeding and Eating DisordersFemaleHumansMiddle AgedOverweightPsychiatric Status Rating ScalesRiskSurveys and QuestionnairesWaiting Lists

Identifiers

PMID26795936
PMCPMC4836995
OpenAlexW2335806301

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.