Evidence map›Paper›PMID 37463139›Full record

ArticlePloS one2023

Patterns of mental health problems and well-being in children with disabilities in Sweden: A cross-sectional survey and cluster analysis.

Torun Täljedal, Mats Granlund, Lena Almqvist, Fatumo Osman, Eva Norén Selinus, Karin Fängström

Abstract read
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Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–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

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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

4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Torun TäljedalRegion Västmanland - Uppsala University, Centre for Clinical Research, Västmanland Hospital Västerås, Västerås, Sweden.ORCID 0000-0003-4302-0426
Mats GranlundCHILD Research Environment, Jönköping University, Jönköping, Sweden.
Lena AlmqvistCHILD Research Environment, Jönköping University, Jönköping, Sweden.
Fatumo OsmanCHAP, Department of Public Health and Caring Sciences, Uppsala University, Uppsala, Sweden.
Eva Norén SelinusRegion Västmanland - Uppsala University, Centre for Clinical Research, Västmanland Hospital Västerås, Västerås, Sweden.ORCID 0000-0002-6104-7836
Karin FängströmCHAP, Department of Public Health and Caring Sciences, Uppsala University, Uppsala, Sweden.ORCID 0000-0001-9879-941X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundChildren with disabilities have an increased risk of mental health problems. Patterns of mental health problems and well-being may vary.

aimsTo identify patterns of mental health problems and well-being in children with disabilities in Sweden, and investigate the influence of parental background (migration, education), and child cognitive level.

methodIn this cross-sectional study, cluster analysis was used to analyse parents' ratings of conduct problems, emotional symptoms, and prosocial behaviour on the Strengths and Difficulties Questionnaire (SDQ) in children with disabilities (n = 136). The influence of parental background (migration, education) and child cognitive level on cluster membership was explored through multinomial logistic regression.

resultsFive clusters of mental health patterns emerged. Three clusters had mean ratings near or past clinical cut-off for one each of the SDQ-subscales. One cluster had difficulties on all three subscales. Greater child cognitive difficulties increased the likelihood of low prosocial behaviour (OR 2.501, p < .001) and of difficulties on all three subscales (OR 2.155, p = .006). Parental background did not influence cluster membership.

conclusionChildren with disabilities display varying mental health patterns. Awareness of the complexity of mental health patterns among children with disabilities is important. Screening and support for emotional symptoms and prosocial behaviour deficits should be considered for children with conduct problems.

Indexed as

Children with DisabilitiesMental HealthChildCluster AnalysisCross-Sectional StudiesHumansParentsSurveys and QuestionnairesSweden

Identifiers

PMID37463139
PMCPMC10353824

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LicenceCC BY
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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.