Evidence map›Paper›PMID 31158249›Full record

ArticlePloS one2019

The predictive validity of the Strengths and Difficulties Questionnaire in preschool age to identify mental disorders in preadolescence.

Louise G Nielsen, Martin K Rimvall, Lars Clemmensen, Anja Munkholm, Hanne Elberling, Else Marie Olsen, Charlotte Ulrikka Rask, Anne Mette Skovgaard, Pia Jeppesen

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
7.0field-weighted citation impact, top 3% 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

24 citing papers in PubMed, 45 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Identifying neurodevelopmental disabilities from nationalised preschool health check.The Australian and New Zealand journal of psychiatry · 2023
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

9 authors at 4 institutions in 1 country.

Louise G NielsenChild and Adolescent Mental Health Centre, Mental Health Services Capital Region of Denmark, Gentofte, Denmark.ORCID 0000-0003-1272-2636
Martin K RimvallChild and Adolescent Mental Health Centre, Mental Health Services Capital Region of Denmark, Gentofte, Denmark.
Lars ClemmensenCenter for Telepsychiatry, Mental Health Services, Region of Southern Denmark, Odense, Denmark.
Anja MunkholmChild and Adolescent Mental Health Centre, Mental Health Services Capital Region of Denmark, Gentofte, Denmark.
Hanne ElberlingChild and Adolescent Mental Health Centre, Mental Health Services Capital Region of Denmark, Gentofte, Denmark.
Else Marie OlsenCenter for Clinical Research and Disease Prevention, Frederiksberg Hospital, Capital Region of Denmark, Copenhagen, Denmark.
Charlotte Ulrikka RaskDepartment of Child and Adolescent Psychiatry, Psychiatry Aarhus University Hospital, Aarhus, Denmark.
Anne Mette SkovgaardDepartment of Public Health, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.
Pia JeppesenChild and Adolescent Mental Health Centre, Mental Health Services Capital Region of Denmark, Gentofte, Denmark.
University of Copenhagen · DKAarhus University · DKMental Health Services · DKUniversity of Southern Denmark · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Strengths and Difficulties Questionnaire (SDQ) is a brief, widely used instrument to screen for mental health problems in children and adolescents. The SDQ predictive algorithms developed for the SDQ, synthesize information from multiple informants regarding psychiatric symptoms and their impact on daily life. This study aimed to explore the validity of the SDQ predictive algorithms used in preschool age to predict mental disorders in preadolescence. The study population comprises 1176 children from the Copenhagen Child Cohort 2000 (CCC2000) assessed at age 5-7 years by the SDQ and reassessed at 11-12 years with the Development and Well Being Assessment (DAWBA) for evaluation of ICD-10 mental disorders. Odds Ratios (ORs), sensitivities, specificities, positive predictive values (PPVs) and negative predictive values (NPVs) were calculated for the SDQ predictive algorithms regarding ICD-10 diagnoses of hyperkinetic-inattentive-, behavioural- and emotional disorders. Significant ORs ranging from 2.3-36.5 were found for the SDQ predictive algorithms in relation to the corresponding diagnoses. The highest ORs were found for hyperkinetic and inattentive disorders, and the lowest for emotional disorders. Sensitivities ranging from 4.5-47.4, specificities ranging from 83.0-99.5, PPVs ranging from 5.0-45.5 and NPVs ranging from 90.6-99.0 were found for the SDQ predictive algorithms in relation to the diagnoses. The results support that the SDQ predictive algorithms are useful for screening at preschool-age to identify children at an increased risk of mental disorders in preadolescence. However, early screening with the SDQ predictive algorithms cannot stand alone, and repeated assessments of children are needed to identify, especially internalizing, mental health problems.

Indexed as

Surveys and QuestionnairesAdolescentAlgorithmsChildChild, PreschoolFemaleFollow-Up StudiesHumansMaleMental DisordersOdds RatioPredictive Value of TestsReproducibility of ResultsSensitivity and Specificity

Identifiers

PMID31158249
PMCPMC6546211
OpenAlexW2948471388

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.