Evidence map›Paper›PMID 33010651›Full record

ArticleBehaviour research and therapy2020

Group and longitudinal intra-individual networks of eating disorder symptoms in adolescents and young adults at-risk for an eating disorder.

Cheri A Levinson, Irina A Vanzhula, Tosha Woods Smith, Eric Stice

Open access · greenAbstract read
In one paragraph

Article in Behaviour research and therapy, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 3 pooled it
4.1field-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, 3 syntheses or guidelines pooled it, 36 citations in OpenAlex.

  1. Pooled it
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  10. The Study of Eating Disorders from a Network Perspective: A Scoping Systematic Review.Clinical psychology : a publication of the Division of Clinical Psychology of the American Psychological Association · 2024
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  14. Observational
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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

4 authors at 3 institutions in 1 country.

Cheri A LevinsonUniversity of Louisville, Department of Psychological & Brain Sciences, Louisville, USA. Electronic address: cheri.levinson@louisville.edu.
Irina A VanzhulaUniversity of Louisville, Department of Psychological & Brain Sciences, Louisville, USA.
Tosha Woods SmithCenter of Excellence for Eating Disorders, School of Medicine, University of North Carolina, Chapel Hill, USA.
Eric SticeOregon Research Institute, Eugene, USA.
University of Louisville · USEugene Research Institute · USUniversity of North Carolina at Chapel Hill · US

Funding

Eating Disorders Prevention: An Effectiveness Trial for At-Risk College StudentsR01MH086582 · NIMH · OREGON RESEARCH INSTITUTE · PI BUTRYN, MEGHAN, STICE, ERIC M · 2010 to 2014
$2.9M
Innovations in Personalizing Treatment for Eating Disorders Using Idiographic Methods and the Impact of Personalization on Psychological, Physical, and Sociodemographic OutcomesDP2MH136495 · NIMH · UNIVERSITY OF LOUISVILLE · PI Cheri Alicia Levinson · 2023 to 2026
$2.6M
Eating Disorder Prevention Program Effectiveness TrialR01MH070699 · NIMH · OREGON RESEARCH INSTITUTE · PI STICE, ERIC M · 2005 to 2009
$1.9M
TEST OF A DISSONANCE EATING DISORDER PREVENTION PROGRAMR01MH061957 · NIMH · UNIVERSITY OF TEXAS AUSTIN · PI STICE, ERIC M · 2001 to 2005
$1.4M
NIMH NIH HHS DP2 MH136495NIMH NIH HHS R01 MH061957NIMH NIH HHS R01 MH070699NIMH NIH HHS R01 MH086582
6 · The paper itself

Abstract

Several studies have identified risk factors that predict future onset of eating disorders (ED) in adolescence, however, it is currently unknown how specific ED symptom dynamics operate both across time and within individuals. Advances in network methodologies allow for the study of how dynamic symptoms interrelate and predict each other within-persons and across time. In the current study, we used longitudinal group-level (N = 1272) (addressing symptom interrelations across people and across time; between-subjects, contemporaneous, and temporal networks) and intra-individual (symptom interrelations within each person and across time; contemporaneous and temporal networks) network analyses (subset n = 50) in prospective 48-month interview data in at-risk adolescents and young adults. We computed between-subject networks (how symptoms are associated on average, for group sample only), contemporaneous networks (how symptoms are associated at one time point, accounting for previous time points), and temporal networks (examining how symptoms predict each other across time). We replicated prior network results which suggest that overvaluation of weight and shape are central in at-risk adolescents and young adults. We found that individual networks (n = 1 networks) were highly variable across individuals. Overall, our results show how both group-level and longitudinal intra-individual network analysis can inform our understanding of how EDs develop in adolescence and point to the importance of conceptualizing development on an individual level of analysis.

Indexed as

BulimiaFastingLaxativesVomitingAdolescentAdultBody ImageFearFeeding and Eating DisordersFemaleHumansLongitudinal StudiesMiddle AgedModels, PsychologicalRisk FactorsYoung AdultLaxativesAdolescenceBehaviorsCognitionsEating disordersnetwork Analysis

Identifiers

PMID33010651
PMCPMC7688499
OpenAlexW3087745319

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.