Evidence map›Paper›PMID 32787994›Full record

ArticlePsychological medicine2021

A computational network perspective on pediatric anxiety symptoms.

Rany Abend, Mira A Bajaj, Daniel D L Coppersmith, Katharina Kircanski, Simone P Haller, Elise M Cardinale, Giovanni A Salum, Reinout W Wiers, Elske Salemink, Jeremy W Pettit and 8 more

Open access · bronzeAbstract read
In one paragraph

Article in Psychological medicine, 2021. 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
2.1field-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

11 citing papers in PubMed, 18 citations in OpenAlex.

  1. Article
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  4. The Organization of Anxiety Symptoms Along the Threat Imminence Continuum.Current topics in behavioral neurosciences · 2025
    Review
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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

18 authors at 11 institutions in 4 countries.

Rany AbendEmotion and Development Branch, National Institute of Mental Health, National Institutes of Health, Bethesda, MD, USA.
Mira A BajajEmotion and Development Branch, National Institute of Mental Health, National Institutes of Health, Bethesda, MD, USA.
Daniel D L CoppersmithDepartment of Psychology, Harvard University, Cambridge, MA, USA.
Katharina KircanskiEmotion and Development Branch, National Institute of Mental Health, National Institutes of Health, Bethesda, MD, USA.
Simone P HallerEmotion and Development Branch, National Institute of Mental Health, National Institutes of Health, Bethesda, MD, USA.
Elise M CardinaleEmotion and Development Branch, National Institute of Mental Health, National Institutes of Health, Bethesda, MD, USA.
Giovanni A SalumNational Institute of Developmental Psychiatry for Children and Adolescents (INCT-CNPq), São Paulo, Brazil.
Reinout W WiersAddiction Development and Psychopathology (ADAPT)-lab, Department of Psychology, University of Amsterdam, Amsterdam, the Netherlands.
Elske SaleminkDepartment of Clinical Psychology, Utrecht University, Utrecht, the Netherlands.
Jeremy W PettitFlorida International University, Miami, FL, USA.
Koraly Pérez-EdgarThe Pennsylvania State University, University Park, PA, USA.
Eli R LebowitzYale University, New Haven, CT, USA.
Wendy K SilvermanYale University, New Haven, CT, USA.
Yair Bar-HaimTel Aviv University, Tel Aviv, Israel.
Melissa A BrotmanEmotion and Development Branch, National Institute of Mental Health, National Institutes of Health, Bethesda, MD, USA.
Ellen LeibenluftEmotion and Development Branch, National Institute of Mental Health, National Institutes of Health, Bethesda, MD, USA.
Eiko I FriedDepartment of Clinical Psychology, Leiden University, Leiden, the Netherlands.
Daniel S PineEmotion and Development Branch, National Institute of Mental Health, National Institutes of Health, Bethesda, MD, USA.
National Institutes of Health · USNational Institute of Mental Health · USYale University · USFlorida International University · USHarvard University · USLeiden University · NLNational Council for Scientific and Technological Development · BRPennsylvania State University · USTel Aviv University · ILUniversity of Amsterdam · NLUtrecht University · NL

Funding

fMRI Studies Of Pediatric Mood And Anxiety DisordersZIAMH002781 · NIMH · NATIONAL INSTITUTE OF MENTAL HEALTH · PI PINE, DANIEL · 2009 to 2025
$41.5M
Fmri Studies Of Risk For Mood And Anxiety Disorders In ChildrenZIAMH002782 · NIMH · NATIONAL INSTITUTE OF MENTAL HEALTH · PI PINE, DANIEL · 2009 to 2025
$28.3M
Unit on Neuroscience and Novel TherapeuticsZIAMH002969 · NIMH · NATIONAL INSTITUTE OF MENTAL HEALTH · PI BROTMAN, MELISSA · 2019 to 2025
$13.8M
Attention Training's Impact on Biobehavioral Correlates of Behavioral InhibitionR01MH094633 · NIMH · PENNSYLVANIA STATE UNIVERSITY, THE · PI PEREZ-EDGAR, KORALY E · 2011 to 2015
$2.3M
Attention Bias Modification Training in Child Anxiety CBT NonrespondersR34MH097931 · NIMH · FLORIDA INTERNATIONAL UNIVERSITY · PI PETTIT, JEREMY W, SILVERMAN, WENDY K. · 2013 to 2015
$623k
Attention Bias Modification Training in Youth with Subthreshold Impairing AnxietyUH2MH101470 · NIMH · FLORIDA INTERNATIONAL UNIVERSITY · PI PETTIT, JEREMY W · 2014 to 2015
$556k
Intramural NIH HHS Z99 MH999999Intramural NIH HHS ZIA MH002781NIMH NIH HHS R01 MH094633NIMH NIH HHS R34 MH097931NIMH NIH HHS UH2 MH101470
6 · The paper itself

Abstract

backgroundWhile taxonomy segregates anxiety symptoms into diagnoses, patients typically present with multiple diagnoses; this poses major challenges, particularly for youth, where mixed presentation is particularly common. Anxiety comorbidity could reflect multivariate, cross-domain interactions insufficiently emphasized in current taxonomy. We utilize network analytic approaches that model these interactions by characterizing pediatric anxiety as involving distinct, inter-connected, symptom domains. Quantifying this network structure could inform views of pediatric anxiety that shape clinical practice and research.

methodsParticipants were 4964 youths (ages 5-17 years) from seven international sites. Participants completed standard symptom inventory assessing severity along distinct domains that follow pediatric anxiety diagnostic categories. We first applied network analytic tools to quantify the anxiety domain network structure. We then examined whether variation in the network structure related to age (3-year longitudinal assessments) and sex, key moderators of pediatric anxiety expression.

resultsThe anxiety network featured a highly inter-connected structure; all domains correlated positively but to varying degrees. Anxiety patients and healthy youth differed in severity but demonstrated a comparable network structure. We noted specific sex differences in the network structure; longitudinal data indicated additional structural changes during childhood. Generalized-anxiety and panic symptoms consistently emerged as central domains.

conclusionsPediatric anxiety manifests along multiple, inter-connected symptom domains. By quantifying cross-domain associations and related moderation effects, the current study might shape views on the diagnosis, treatment, and study of pediatric anxiety.

Indexed as

AnxietyBrief Psychiatric Rating ScaleInternationalityPediatricsChildChild DevelopmentComorbidityFemaleHumansLongitudinal StudiesMaleSex FactorsSurveys and QuestionnairesAdolescentanxietychildcomorbiditydevelopmentnetworkpediatricsymptoms

Identifiers

PMID32787994
PMCPMC8486314
OpenAlexW3049027898

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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.