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This study was supporting by Ministry of Economy and Competitiveness of Spain and the European Regional Development Fund (ERDF). Grant number: PSI2015-64837-P; Ministry of Education of Spain (FPU), Grant number: FPU2013-01245. Generalitat, Government of Catalonia Universities, Researching and Information Society Department, Grant number: 2016FI-01144.

Analysis of institutional authors

Roige-Castellvi, JoanaAuthorMorales-Hidalgo, PaulaAuthorVoltas, NuriaAuthorHernandez-Martinez, CarmenAuthorVigil-Colet, AndreuAuthorCanals, JosefaCorresponding Author
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Article

PREDICTIVE VALUE OF CHILD BEHAVIOR CHECKLIST/6-18, YOUTH SELF-REPORT AND CONNERS 3 ADHD INDEX FOR ADHD IN SCHOOL-AGED CHILDREN

Publicated to:Behavioral Psychology-Psicologia Conductual. 28 (1): 19-34 - 2020-01-01 28(1), DOI:

Authors: Roige-Castellvi, Joana; Morales-Hidalgo, Paula; Voltas, Nuria; Hernandez-Martinez, Carmen; Vigil-Colet, Andreu; Canals, Josefa

Affiliations

Rovira & Virgil Univ, Tarragona, Spain - Author

Abstract

The best predictors of attention deficit hyperactivity disorder (ADHD) were examined using Conners 3 ADHD Index (Conners 3 Al) (teacher and parent reports), Child Behaviour Checklist for ages 6-18 (CBCL/6-18) and Youth Self Report for ages 11-18 (YSR/11-18) in a sample of 350 schoolchildren from the Epidemiological Project on Neurodevelopmental Disorders (EPINED) (n= 2,818). The diagnosis was made on the basis of the DSM-5 criteria and the three presentations of ADHD were categorised as non-diagnosis (n= 175), subclinical (n= 56) or clinical (n= 118). Discriminant analyses showed that the CBCL attention problems scale was the best predictor, correctly classifying almost 80% of cases (78.4% unadjusted model; 79.2% model adjusted for IQ and socioeconomic level). The slow cognitive time scale was the best predictor of inattention presentation (68.7% unadjusted; 71.0% adjusted) and the DSM scale of attention problems was the best predictor of hyperactive-impulsive (71.1% unadjusted; 78.0% adjusted) and the combined (68% unadjusted; 71.0% adjusted) presentation. Predictors did not differ between models for two (nondiagnostic and clinical) or three diagnostic categories (non-diagnostic, subclinical and clinical).

Keywords
AdhdAffective-disordersCbcl/6-18Cross-informant agreementDsm-oriented scalesParentRatingsReliabilitySchizophreniaSchool-age childrenTeacherTrendsValidity

Quality index

Bibliometric impact. Analysis of the contribution and dissemination channel

The work has been published in the journal Behavioral Psychology-Psicologia Conductual due to its progression and the good impact it has achieved in recent years, according to the agency Dialnet (Dialnet Métricas). In the year of publication of the work, 2020, thus managing to position itself as a Q1 (Primer Cuartil).

Notably, the journal is positioned in the Quartile Q4 for the agency WoS (JCR), in the category Psychology, Clinical, in the Quartile Q3 for the agency Scopus (SJR), in the category Clinical Psychology, classified as B in other national agencies such as CIRC, classified as C by the agency AGUAR.

Independientemente del impacto esperado determinado por el canal de difusión, es importante destacar el impacto real observado de la propia aportación.

Según las diferentes agencias de indexación, el número de citas acumuladas por esta publicación hasta la fecha 2025-05-11:

  • Google Scholar: 5
  • WoS: 1
Impact and social visibility

It is essential to present evidence supporting full alignment with institutional principles and guidelines on Open Science and the Conservation and Dissemination of Intellectual Heritage. A clear example of this is:

Leadership analysis of institutional authors

There is a significant leadership presence as some of the institution’s authors appear as the first or last signer, detailed as follows: First Author (Roigé Castellví, Joana) and Last Author (Canals Sans, Josefa).

the author responsible for correspondence tasks has been Canals Sans, Josefa.