Evidence map›Paper›PMID 38052980›Full record

ArticleMolecular psychiatry2024

"Puberty age gap": new method of assessing pubertal timing and its association with mental health problems.

Niousha Dehestani, Nandita Vijayakumar, Gareth Ball, Sina Mansour L, Sarah Whittle, Timothy J Silk

Open access · hybridAbstract read
In one paragraph

Article in Molecular psychiatry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
4.6field-weighted citation impact, top 5% of its field
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

15 citing papers in PubMed, 17 citations in OpenAlex.

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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

6 authors at 2 institutions in 1 country.

Niousha DehestaniDeakin University, Centre for Social and Early Emotional Development, School of Psychology, Faculty of Health, Geelong, VIC, Australia. newsha.dehestani.95@gmail.com.ORCID 0000-0002-3970-8239
Nandita VijayakumarDeakin University, Centre for Social and Early Emotional Development, School of Psychology, Faculty of Health, Geelong, VIC, Australia.
Gareth BallCentre for Adolescent Health, Murdoch Children's Research Institute, Parkville, VIC, Australia.ORCID 0000-0003-3509-1435
Sina Mansour LDepartment of Psychiatry, Melbourne Neuropsychiatry Centre, The University of Melbourne and Melbourne Health, Melbourne, VIC, Australia.ORCID 0000-0002-5695-5696
Sarah WhittleDepartment of Psychiatry, Melbourne Neuropsychiatry Centre, The University of Melbourne and Melbourne Health, Melbourne, VIC, Australia.
Timothy J SilkDeakin University, Centre for Social and Early Emotional Development, School of Psychology, Faculty of Health, Geelong, VIC, Australia. tim.silk@deakin.edu.au.ORCID 0000-0002-7290-512X
Deakin University · AUThe University of Melbourne · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Puberty is linked to mental health problems during adolescence, and in particular, the timing of puberty is thought to be an important risk factor. This study developed a new measure of pubertal timing that was built upon multiple pubertal features and their nonlinear changes over time (i.e., with age), and investigated its association with mental health problems. Using the Adolescent Brain Cognitive Development (ABCD) cohort (N ~ 9900, aged 9-13 years), we employed three different models to assess pubertal timing. These models aimed to predict chronological age based on: (i) observed physical development, (ii) hormone levels (testosterone and dehydroepiandrosterone [DHEA]), and (iii) a combination of both physical development and hormones. To achieve this, we utilized a supervised machine learning approach, which allowed us to train the models using the available data and make age predictions based on the input pubertal features. The accuracy of these three models was evaluated, and their associations with mental health problems were examined. The new pubertal timing model performed better at capturing age variance compared to the more commonly used linear regression method. Further, the model based on physical features accounted for the most variance in mental health, such that earlier pubertal timing was associated with higher symptoms. This study demonstrates the utility of our new model of pubertal timing and suggests that, relative to hormonal measures, physical measures of pubertal maturation have a stronger association with mental health problems in early adolescence.

Indexed as

PubertyAdolescentAge FactorsChildCohort StudiesDehydroepiandrosteroneFemaleHumansMaleMental DisordersMental HealthSexual MaturationTestosteroneDehydroepiandrosteroneTestosterone

Identifiers

PMID38052980
PMCPMC11116096
OpenAlexW4389340820

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.