Evidence map›Paper›PMID 27844161›Full record

ArticleEuropean child & adolescent psychiatry2017

Latent classes of emotional and behavioural problems in epidemiological and referred samples and their relations to DSM-IV diagnoses.

Valentina Bianchi, Paolo Brambilla, Marco Garzitto, Paola Colombo, Livia Fornasari, Monica Bellina, Carolina Bonivento, Alessandra Tesei, Sara Piccin, Stefania Conte and 6 more

Abstract read
In one paragraph

Article in European child & adolescent psychiatry, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

22 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. [Prospective study of ketogenic diet in treatment of children with global developmental delay].Zhongguo dang dai er ke za zhi = Chinese journal of contemporary pediatrics · 2017
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  15. Co-occurrence of Psychopathology Problems in At-Risk Adolescents.Journal of psychopathology and behavioral assessment · 2022
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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

16 authors.

Valentina BianchiScientific Institute, IRCCS Eugenio Medea, Bosisio Parini, Lecco, Italy. valentina.bianchi@bp.lnf.it.ORCID http://orcid.org/0000-0002-2072-0019
Paolo BrambillaDepartment of Neurosciences and Mental Health, Psychiatric Clinic, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, University of Milan, Milan, Italy.
Marco GarzittoScientific Institute, IRCCS Eugenio Medea, San Vito al Tagliamento, Pordenone, Italy.
Paola ColomboScientific Institute, IRCCS Eugenio Medea, Bosisio Parini, Lecco, Italy.
Livia FornasariScientific Institute, IRCCS Eugenio Medea, San Vito al Tagliamento, Pordenone, Italy.
Monica BellinaScientific Institute, IRCCS Eugenio Medea, Bosisio Parini, Lecco, Italy.
Carolina BoniventoDepartment of Experimental and Clinical Medicine, University of Udine, Udine, Italy.
Alessandra TeseiScientific Institute, IRCCS Eugenio Medea, Bosisio Parini, Lecco, Italy.
Sara PiccinScientific Institute, IRCCS Eugenio Medea, San Vito al Tagliamento, Pordenone, Italy.
Stefania ConteDepartment of Psychology, University of Milano-Bicocca, Milan, Italy.
Giampaolo PernaHermanas Hospitalarias, FoRiPsi, Albese con Cassano, Italy.
Alessandra FrigerioScientific Institute, IRCCS Eugenio Medea, Bosisio Parini, Lecco, Italy.
Isabella CastiglioniInstitute of Molecular Bioimaging and Physiology, National Research Council, Milan, Italy.
Franco FabbroScientific Institute, IRCCS Eugenio Medea, San Vito al Tagliamento, Pordenone, Italy.
Massimo MolteniScientific Institute, IRCCS Eugenio Medea, Bosisio Parini, Lecco, Italy.
Maria NobileScientific Institute, IRCCS Eugenio Medea, Bosisio Parini, Lecco, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Researchers' interest have recently moved toward the identification of recurrent psychopathological profiles characterized by concurrent elevations on different behavioural and emotional traits. This new strategy turned to be useful in terms of diagnosis and outcome prediction. We used a person-centred statistical approach to examine whether different groups could be identified in a referred sample and in a general-population sample of children and adolescents, and we investigated their relation to DSM-IV diagnoses. A latent class analysis (LCA) was performed on the Child Behaviour Checklist (CBCL) syndrome scales of the referred sample (N = 1225), of the general-population sample (N = 3418), and of the total sample. Models estimating 1-class through 5-class solutions were compared and agreement in the classification of subjects was evaluated. Chi square analyses, a logistic regression, and a multinomial logistic regression analysis were used to investigate the relations between classes and diagnoses. In the two samples and in the total sample, the best-fitting models were 4-class solutions. The identified classes were Internalizing Problems (15.68%), Severe Dysregulated (7.82%), Attention/Hyperactivity (10.19%), and Low Problems (66.32%). Subsequent analyses indicated a significant relationship between diagnoses and classes as well as a main association between the severe dysregulated class and comorbidity. Our data suggested the presence of four different psychopathological profiles related to different outcomes in terms of psychopathological diagnoses. In particular, our results underline the presence of a profile characterized by severe emotional and behavioural dysregulation that is mostly associated with the presence of multiple diagnosis.

Indexed as

Diagnostic and Statistical Manual of Mental DisordersProblem BehaviorAdolescentAffective SymptomsChecklistChildChild Behavior DisordersEmotionsFemaleHumansLogistic ModelsMalePsychiatric Status Rating ScalesPsychopathologyAdolescenceChild Behaviour ChecklistChildhoodDysregulationLatent class analysis (LCA)Psychopathology

Identifiers

PMID27844161
PMCPMC5394137

What OpenQuestion holds

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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.