Literature DB >> 25515677

Screening for the ADHD Phenotype Using the Strengths and Difficulties Questionnaire in a Clinical Sample of Newly Referred Children and Adolescents.

Juan José Carballo1, Lucía Rodríguez-Blanco1, Rebeca García-Nieto1, Enrique Baca-García1.   

Abstract

OBJECTIVE: To examine the screening ability of the Strengths and Difficulties Questionnaire (SDQ) for ADHD subtypes in a clinical sample.
METHOD: Parents of 523 children (3 to 17 years old) referred to Child and Adolescent Mental Health Services completed the Spanish version of the SDQ and the ADHD Rating Scale-IV. Receiver operating curve (ROC) curve analyses and likelihood ratios (LRs) were conducted.
RESULTS: The LR results indicated that the 8/10 cutoff showed the highest diagnostic accuracy. The sensitivity of the SDQ 8/10 cutoff for the three subtypes was significantly different: 84.0% (95% confidence interval [CI] = [75.58, 89.90]) of ADHD combined subtype (ADHD-Co), 25.0% (95% CI = [17.55, 34.30]) of ADHD predominantly inattentive subtype (ADHD-I), and 77.8% (95% CI = [68.71, 84.83]) of ADHD predominantly hyperactive/impulsive subtype (ADHD-H). Sex and age differences were found. These screening differences were also found when using the 7/10 cutoff or the SDQ predictive algorithm.
CONCLUSION: Our study supports the use of the SDQ in the screening for ADHD. However, not all ADHD subtypes are equally screened.

Entities:  

Keywords:  ADHD; clinical sample; screening; strengths and difficulties questionnaire (SDQ)

Mesh:

Year:  2014        PMID: 25515677     DOI: 10.1177/1087054714561858

Source DB:  PubMed          Journal:  J Atten Disord        ISSN: 1087-0547            Impact factor:   3.256


  4 in total

1.  The relationship between financial difficulty and childhood symptoms of attention deficit/hyperactivity disorder: a UK longitudinal cohort study.

Authors:  Abigail Emma Russell; Tamsin Ford; Ginny Russell
Journal:  Soc Psychiatry Psychiatr Epidemiol       Date:  2017-11-09       Impact factor: 4.328

2.  Cortical signatures in behaviorally clustered autistic traits subgroups: a population-based study.

Authors:  Angeline Mihailov; Cathy Philippe; Arnaud Gloaguen; Antoine Grigis; Charles Laidi; Camille Piguet; Josselin Houenou; Vincent Frouin
Journal:  Transl Psychiatry       Date:  2020-06-27       Impact factor: 6.222

3.  Diagnostic efficiency of the SDQ for parents to identify ADHD in the UK: a ROC analysis.

Authors:  Guillermo Perez Algorta; Alyson Lamont Dodd; Argyris Stringaris; Eric A Youngstrom
Journal:  Eur Child Adolesc Psychiatry       Date:  2016-01-14       Impact factor: 4.785

4.  No Medication for My Child! A Naturalistic Study on the Treatment Preferences for and Effects of Cogmed Working Memory Training Versus Psychostimulant Medication in Clinically Referred Youth with ADHD.

Authors:  Peter Muris; Dorien Roodenrijs; Lut Kelgtermans; Sonja Sliwinski; Ulrike Berlage; Hanna Baillieux; Anne Deckers; Marieke Gunther; Bertien Paanakker; Ida Holterman
Journal:  Child Psychiatry Hum Dev       Date:  2018-12
  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.