Evidence map›Paper›PMID 38456092›Full record

ArticleThe Lancet regional health. Western Pacific2024

Identify adolescents' help-seeking intention on suicide through self- and caregiver's assessments of psychobehavioral problems: deep clustering of the Tokyo TEEN Cohort study.

Daiki Nagaoka, Akito Uno, Satoshi Usami, Riki Tanaka, Rin Minami, Yutaka Sawai, Ayako Okuma, Syudo Yamasaki, Mitsuhiro Miyashita, Atsushi Nishida and 2 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in The Lancet regional health. Western Pacific, 2024. 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

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

2 citing papers in PubMed.

  1. Article
  2. Article
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

12 authors.

Daiki NagaokaThe Department of Neuropsychiatry, The University of Tokyo, Tokyo, Japan.
Akito UnoThe Department of Neuropsychiatry, The University of Tokyo, Tokyo, Japan.
Satoshi UsamiThe Graduate School of Education, The University of Tokyo, Tokyo, Japan.
Riki TanakaThe Department of Neuropsychiatry, The University of Tokyo, Tokyo, Japan.
Rin MinamiThe Department of Neuropsychiatry, The University of Tokyo, Tokyo, Japan.
Yutaka SawaiThe Department of Neuropsychiatry, The University of Tokyo, Tokyo, Japan.
Ayako OkumaThe Department of Neuropsychiatry, The University of Tokyo, Tokyo, Japan.
Syudo YamasakiResearch Center for Social Science & Medicine, Tokyo Metropolitan Institute of Medical Science, Tokyo, Japan.
Mitsuhiro MiyashitaResearch Center for Social Science & Medicine, Tokyo Metropolitan Institute of Medical Science, Tokyo, Japan.
Atsushi NishidaResearch Center for Social Science & Medicine, Tokyo Metropolitan Institute of Medical Science, Tokyo, Japan.
Kiyoto KasaiThe Department of Neuropsychiatry, The University of Tokyo, Tokyo, Japan.
Shuntaro AndoThe Department of Neuropsychiatry, The University of Tokyo, Tokyo, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Psychopathological and behavioral problems in adolescence are highly comorbid, making their developmental trajectories complex and unclear partly due to technical limitations. We aimed to classify these trajectories using deep learning and identify predictors of cluster membership. Methods: We conducted a population-based cohort study on 3171 adolescents from three Tokyo municipalities, with 2344 pairs of adolescents and caregivers participating at all four timepoints (ages 10, 12, 14, and 16) from 2012 to 2021. Adolescent psychopathological and behavioral problems were assessed by using self-report questionnaires. Both adolescents and caregivers assessed depression/anxiety and psychotic-like experiences. Caregivers assessed obsession/compulsion, dissociation, sociality problem, hyperactivity/inattention, conduct problem, somatic symptom, and withdrawal. Adolescents assessed desire for slimness, self-harm, and suicidal ideation. These trajectories were clustered with variational deep embedding with recurrence, and predictors were explored using multinomial logistic regression. Findings: Five clusters were identified: Interpretation: Approximately 40% of adolescents were classified as "affected" clusters. Proactive societal attention is warranted toward adolescents in the Funding: Japan Ministry of Health, Labor and Welfare, Japan Agency for Medical Research and Development, and Japan Science and Technology Agency.

Indexed as

AdolescentClusteringCohort studyComorbidityDeep learningLongitudinalPsychobehavioral problemsPsychopathological and behavioral problemsPsychopathologyTrajectory

Identifiers

PMID38456092
PMCPMC10920037

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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.