Evidence map›Paper›PMID 34793547›Full record

ArticlePloS one2021

Determining the timing of pubertal onset via a multicohort analysis of growth.

Essi Syrjälä, Harri Niinikoski, Helena E Virtanen, Jorma Ilonen, Mikael Knip, Nina Hutri-Kähönen, Katja Pahkala, Olli T Raitakari, Wiwat Rodprasert, Jorma Toppari and 4 more

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Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

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4citing papers in PubMed
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1 · What the graph read from it

What it found

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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.

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

14 authors.

Essi SyrjäläFaculty of Social Sciences, Unit of Health Sciences, Tampere University, Tampere, Finland.ORCID 0000-0002-5782-3089
Harri NiinikoskiResearch Centre for Integrative Physiology and Pharmacology, Institute of Biomedicine, University of Turku, Turku, Finland.
Helena E VirtanenResearch Centre for Integrative Physiology and Pharmacology, Institute of Biomedicine, University of Turku, Turku, Finland.
Jorma IlonenImmunogenetics Laboratory, Institute of Biomedicine, University of Turku, Turku, Finland.
Mikael KnipPediatric Research Center, Children's Hospital, University of Helsinki and Helsinki University Hospital, Helsinki, Finland.ORCID 0000-0003-0474-0033
Nina Hutri-KähönenDepartment of Pediatrics, Tampere University and Tampere University Hospital, Tampere, Finland.
Katja PahkalaResearch Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland.
Olli T RaitakariResearch Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland.
Wiwat RodprasertResearch Centre for Integrative Physiology and Pharmacology, Institute of Biomedicine, University of Turku, Turku, Finland.
Jorma ToppariResearch Centre for Integrative Physiology and Pharmacology, Institute of Biomedicine, University of Turku, Turku, Finland.
Suvi M VirtanenFaculty of Social Sciences, Unit of Health Sciences, Tampere University, Tampere, Finland.
Riitta VeijolaDepartment of Pediatrics, PEDEGO Research Unit, Medical Research Center, University of Oulu, Oulu, Finland.
Jaakko PeltonenFaculty of Information Technology and Communication Sciences, Tampere University, Tampere, Finland.
Jaakko NevalainenFaculty of Social Sciences, Unit of Health Sciences, Tampere University, Tampere, Finland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveGrowth-based determination of pubertal onset timing would be cheap and practical. We aimed to determine this timing based on pubertal growth markers. Secondary aims were to estimate the differences in growth between cohorts and identify the role of overweight in onset timing.

designThis multicohort study includes data from three Finnish cohorts-the Type 1 Diabetes Prediction and Prevention (DIPP, N = 2,825) Study, the Special Turku Coronary Risk Factor Intervention Project (STRIP, N = 711), and the Boy cohort (N = 66). Children were monitored for growth and Tanner staging (except in DIPP).

methodsThe growth data were analyzed using a Super-Imposition by Translation And Rotation growth curve model, and pubertal onset analyses were run using a time-to-pubertal onset model.

resultsThe time-to-pubertal onset model used age at peak height velocity (aPHV), peak height velocity (PHV), and overweight status as covariates, with interaction between aPHV and overweight status for girls, and succeeded in determining the onset timing. Cross-validation showed a good agreement (71.0% for girls, 77.0% for boys) between the observed and predicted onset timings. Children in STRIP were taller overall (girls: 1.7 [95% CI: 0.9, 2.5] cm, boys: 1.0 [0.3, 2.2] cm) and had higher PHV values (girls: 0.13 [0.02, 0.25] cm/year, boys: 0.35 [0.21, 0.49] cm/year) than those in DIPP. Boys in the Boy cohort were taller (2.3 [0.3, 4.2] cm) compared with DIPP. Overweight girls showed pubertal onset at 1.0 [0.7, 1.4] year earlier compared with other girls. In boys, there was no such difference.

conclusionsThe novel modeling approach provides an opportunity to evaluate the Tanner breast/genital stage-based pubertal onset timing in cohort studies including longitudinal data on growth but lacking pubertal follow-up.

Indexed as

AdolescentAge of OnsetBiological PhenomenaBody HeightBreastChildCohort StudiesFemaleFinlandForecastingGenitaliaGrowthHumansMaleMenModels, Theoretical

Identifiers

PMID34793547
PMCPMC8601458

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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.