Evidence map›Paper›PMID 40014526›Full record

ArticleDevelopmental psychology2025

Population-level transitions in observed difficulties through childhood and adolescence.

Elia Benhamou, Danyal Akarca, Joe Bathelt, Sue Fletcher-Watson, Duncan E Astle

Abstract read
In one paragraph

Article in Developmental psychology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
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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

5 authors.

Elia BenhamouMRC Cognition and Brain Sciences Unit, University of Cambridge.
Danyal AkarcaMRC Cognition and Brain Sciences Unit, University of Cambridge.ORCID 0000-0002-5931-0295
Joe BatheltDepartment of Psychology, Royal Holloway, University of London.
Sue Fletcher-WatsonSalvesen Mindroom Research Centre, University of Edinburgh.
Duncan E AstleMRC Cognition and Brain Sciences Unit, University of Cambridge.ORCID 0000-0002-7042-5392

Funding

James S. McDonnell FoundationMedical Research CouncilNational Institute for Health ResearchNational Institute for Health Research; Cambridge Biomedical Research CentreUniversity of Cambridge
6 · The paper itself

Abstract

In an attempt to better characterize the complexity of difficulties observed within developing populations, numerous data-driven techniques have been applied to large mixed data sets. However, many have failed to incorporate the core role of developmental time in these approaches, that is, the typical course of change in behavioral features that occurs over childhood to adolescence. In this study, we utilized manifold projections alongside a gradient-boosting model on data collected from the Millennium Cohort Study to unpack the central role of developmental time in how behavioral difficulties transition between the ages of 5, 11, and 17. Our analysis highlights numerous observations: (a) Girls develop relatively greater internalized behavioral problems during adolescence; (b) in the case of a chaotic home environment, co-occurring internalizing and externalizing difficulties tend to persist during childhood; (c) peer problems were the most likely to persist over the whole 12-year period (especially in the presence of early maternal depression and poor family relationships); and (d) there were two pathways with distinct risk factors leading to antisocial behaviors in adolescence-an early-childhood onset pathway and later adolescent onset pathway. Our findings provide evidence that investigations of child and adolescent difficulties must be open to the possibility of multiple subgroups and variability in trajectory over time. We further highlight the crucial role of family and social support and school experience-related factors in predicting children's outcomes. (PsycInfo Database Record (c) 2025 APA, all rights reserved).

Indexed as

Adolescent BehaviorAdolescent DevelopmentChild DevelopmentProblem BehaviorAdolescentChildChild, PreschoolFemaleHumansLongitudinal StudiesMalePeer GroupRisk Factors

Identifiers

PMID40014526
PMCPMC12243395

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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.