Evidence map›Paper›PMID 29669435›Full record

ArticleAnnals of human biology2018

Optimal design for longitudinal studies to estimate pubertal height growth in individuals.

Tim James Cole

Abstract read
In one paragraph

Article in Annals of human biology, 2018. 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
–field-weighted citation impact
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.

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.

  1. A Bayesian Modeling Approach to Optimize Longitudinal Biomarker Sampling Schedules Using Hormonal Data.American journal of human biology : the official journal of the Human Biology Council · 2026
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  4. Longitudinal analysis of cortisol changes during pubertal development in indigenous Qom girls.American journal of human biology : the official journal of the Human Biology Council · 2024
    Article
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  11. Muscular Strength Spurts in Adolescent Male Basketball Players: The INEX Study.International journal of environmental research and public health · 2021
    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

1 author.

Tim James Colea Population, Policy and Practice Programme , UCL Great Ormond Street Institute of Child Health , London , UK.ORCID http://orcid.org/0000-0001-5711-8200

Funding

Medical Research Council MR/M012069/1Medical Research Council MR/R010692/1
6 · The paper itself

Abstract

backgroundThe SITAR model expresses individual pubertal height growth in terms of mean size, peak height velocity (PHV) and age at PHV.

aimTo use SITAR to identify the optimal time interval between measurements to summarise individual pubertal height growth. SUBJECTS AND

methodsHeights in 3172 boys aged 9-19 years from Christ's Hospital School measured on 128 679 occasions (a median of 42 heights per boy) were analysed using the SITAR (SuperImposition by Translation And Rotation) mixed effects growth curve model, which estimates a mean curve and three subject-specific random effects. Separate models were fitted to sub-sets of the data with measurement intervals of 2, 3, 4, 6, 12 and 24 months, and the different models were compared.

resultsThe models for intervals 2-12 months gave effectively identical results for the residual standard deviation (0.8 cm), mean spline curve (6 degrees of freedom) and random effects (correlations >0.9), showing there is no benefit in measuring height more often than annually. The model for 2-year intervals fitted slightly less well, but needed just four-to-five measurements per individual.

conclusionsHeight during puberty needs to be measured only annually and, with slightly lower precision, just four biennial measurements can be sufficient.

Indexed as

Body HeightGrowthPubertySexual MaturationAdolescentAnthropometryChildEnglandHumansLongitudinal StudiesMaleModels, BiologicalResearch DesignYoung Adultage at peak velocityHeightpubertySITAR

Identifiers

PMID29669435
PMCPMC6191888

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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.