Evidence map›Paper›PMID 35954547›Full record

ArticleInternational journal of environmental research and public health2022

Classifying Young Children with Attention-Deficit/Hyperactivity Disorder Based on Child, Parent, and Family Characteristics: A Cross-Validation Study.

Evelyn Law, Georgios Sideridis, Ghadah Alkhadim, Jenna Snyder, Margaret Sheridan

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.1field-weighted citation impact, top 52% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. Article
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

5 authors at 4 institutions in 4 countries.

Evelyn LawYong Loo Lin School of Medicine, National University of Singapore, Singapore 119077, Singapore.
Georgios SideridisICCTR, Boston Children's Hospital, Harvard Medical School, Boston, MA 02115, USA.
Ghadah AlkhadimDepartment of Psychology, College of Arts, Taif University, P.O. Box 11099, Taif 21944, Saudi Arabia.ORCID 0000-0003-4717-4238
Jenna SnyderDepartment of Psychology and Neuroscience, University of North Carolina, Chapel Hill, NC 27599, USA.
Margaret SheridanDepartment of Psychology and Neuroscience, University of North Carolina, Chapel Hill, NC 27599, USA.
University of North Carolina at Chapel Hill · USBoston Children's Hospital · USNational University of Singapore · SGTaif University · SA

Funding

Identifying injurious Thoughts and Behaviors in Childhood: A Mixed-Methods InvestigationR01MH115004 · NIMH · UNIV OF NORTH CAROLINA CHAPEL HILL · PI SHERIDAN, MARGARET ANN · 2018 to 2022
$4.2M
Development of Control Over Rewarding Stimuli: A Cognitive Neuroscience ApproachR03DA037405 · NIDA · UNIV OF NORTH CAROLINA CHAPEL HILL · PI SHERIDAN, MARGARET ANN · 2015 to 2015
$200k
NIDA NIH HHS R03 DA037405NIH HHS 7R03DA037405-02NIMH NIH HHS 1R01MH115004-01NIMH NIH HHS 5K01MH09255NIMH NIH HHS R01 MH115004
6 · The paper itself

Abstract

We aimed to identify subgroups of young children with differential risks for ADHD, and cross-validate these subgroups with an independent sample of children. All children in Study 1 (N = 120) underwent psychological assessments and were diagnosed with ADHD before age 7. Latent class analysis (LCA) classified children into risk subgroups. Study 2 (N = 168) included an independent sample of children under age 7. A predictive model from Study 1 was applied to Study 2. The latent class analyses in Study 1 indicated preference of a 3-class solution (BIC = 3807.70, p < 0.001). Maternal education, income-to-needs ratio, and family history of psychopathology, defined class membership more strongly than child factors. An almost identical LCA structure from Study 1 was replicated in Study 2 (BIC = 5108.01, p < 0.001). Indices of sensitivity (0.913, 95% C.I. 0.814−0.964) and specificity (0.788, 95% C.I. 0.692−0.861) were high across studies. It is concluded that the classifications represent valid combinations of child, parent, and family characteristics that are predictive of ADHD in young children.

Indexed as

Attention Deficit Disorder with HyperactivityChildChild, PreschoolFamilyFamily CharacteristicsHumansResearch Designattention-deficit/hyperactivity disorderpreschoolSES

Identifiers

PMID35954547
PMCPMC9368489
OpenAlexW4288068233

What OpenQuestion holds

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LicenceCC BY
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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.