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Record W4411237100 · doi:10.1002/jcv2.70016

Mapping developmental transitions in mental health from mid‐ to late‐adolescence: Concurrent and longitudinal links to cognition

2025· article· en· W4411237100 on OpenAlexaff
Silvana Mareva, Jenna Parker, Marc Bennett, Laura Pass, Tobias Banaschewski, Arun L.W. Bokde, Sylvane Desrivières, Herta Flor, Sarah Hohmann, Dimitri Papadopoulos Orfanos, Hugh Garavan, Penny Gowland, Henrik Walter, Rüdiger Brühl, Jean‐Luc Martinot, Marie‐Laure Paillère Martinot, Éric Artiges, Frauke Nees, Tomáš Paus, Luise Poustka, Michael N. Smolka, Nilakshi Vaidya, Robert Whelan, Joni Holmes

Bibliographic record

VenueJCPP Advances · 2025
Typearticle
Languageen
FieldPsychology
TopicChild and Adolescent Psychosocial and Emotional Development
Canadian institutionsUniversité de Montréal
FundersMedical Research CouncilFédération pour la Recherche sur le CerveauFondation de FranceBundesministerium für Bildung und ForschungFondation pour la Recherche MédicaleNational Natural Science Foundation of ChinaInstitut National de la Santé et de la Recherche MédicaleHORIZON EUROPE Framework ProgrammeAgence Nationale de la RechercheEuropean CommissionMission Interministérielle de Lutte Contre les Drogues et les Conduites AddictivesScience Foundation IrelandUK Research and InnovationDeutsche ForschungsgemeinschaftNational Institutes of HealthFondation de l'Avenir pour la Recherche Médicale Appliquée
KeywordsMental healthCognitionPsychologyDevelopmental psychologyLongitudinal studyCognitive psychologyMedicinePsychiatry

Abstract

fetched live from OpenAlex

Abstract Background Developmental changes in mental health are mostly mapped between childhood and adolescence or childhood and adulthood. This study maps developmental transitions in mental health profiles from mid‐ to late‐adolescence, exploring how these transitions relate to cognitive function in mid‐adolescence. Method Participants from the IMAGEN cohort ( N = 1304) were followed from mid‐ (14 years) to late (22 years) adolescence. K‐means clustering was applied to data from those with elevated mental health problems to identify common profiles of mental health symptoms at each timepoint ( n = 784 at 14 years, n = 655 at 22 years). Those with no mental health symptoms formed a comparison group ( n = 520 at 14 years, n = 649 at 22 years). Transitions between the groups were mapped across time and related to cognitive function at age 14. Results Three distinct mental health profiles were identified: presentations of externalising, internalising, or social problems. These were similar in mid‐ and late adolescence. Externalising problems were more common in mid‐adolescence. Persistent externalising and social problems were related to cognitive function in mid‐adolescence, but problems that emerged or resolved in late adolescence were not. Conclusions These data highlight the importance of understanding the developmental context in which mental health symptoms occur, and the cognitive factors linked to their persistence.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.736
Threshold uncertainty score0.645

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.023
GPT teacher head0.328
Teacher spread0.304 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2025
Admission routes1
Has abstractyes

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