Evidence map›Paper›PMID 37657816›Full record

ArticleBMJ mental health2023

Depressive symptom networks in the UK general adolescent population and in those looked after by local authorities.

Pascal Schlechter, Tamsin Ford, Sharon A S Neufeld

Abstract read
In one paragraph

Article in BMJ mental health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

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

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

  1. Pooled it
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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

3 authors.

Pascal SchlechterPsychiatry, University of Cambridge, Cambridge, UK ps798@medschl.cam.ac.uk.ORCID 0000-0002-5916-3694
Tamsin FordPsychiatry, University of Cambridge, Cambridge, UK.
Sharon A S NeufeldPsychiatry, University of Cambridge, Cambridge, UK.

Funding

Wellcome TrustWellcome Trust 204845/Z/16/ZWellcome Trust 226392/Z/22/Z
6 · The paper itself

Abstract

backgroundDespite the importance of understanding depressive symptom constellations during adolescence and specifically in looked-after children, studies often only apply sum score models to understand depression in these populations, neglecting associations among single symptoms that can be elucidated in network analysis. The few network analyses in adolescents have relied on different measures to assess depressive symptoms, contributing to inconsistent cross-study results.

objectiveIn three population-based studies using the Short Mood and Feelings Questionnaire, we used network analyses to study depressive symptoms during adolescence and specifically in looked-after children.

methodWe computed cross-sectional networks (Gaussian Graphical Model) in three separate datasets: the Mental Health of Children and Young People in Great Britain 1999 survey (n=4235, age 10-15 years), the mental health of young people looked after by local authorities in Great Britain 2002 survey (n=643, age 11-17 years) and the Millennium Cohort Study in the UK 2015 (n=11 176, age 14 years).

findingsIn all three networks,

conclusionsFindings indicate that looked-after children's depressive symptoms may be more affected by negative self-evaluation compared with the general population. CLINICAL IMPLICATIONS: Intervention efforts may benefit from being tailored to negative self-evaluations.

Indexed as

AffectDepressionAdolescentChildCohort StudiesCross-Sectional StudiesHumansUnited Kingdomdepression & mood disorders

Identifiers

PMID37657816
PMCPMC10577707

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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.