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

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Bibliographic Details
Title: Optimal design for longitudinal studies to estimate pubertal height growth in individuals
Authors: Tim James Cole
Source: Ann Hum Biol
Annals of Human Biology, Vol 45, Iss 4, Pp 314-320 (2018)
Publisher Information: Informa UK Limited, 2018.
Publication Year: 2018
Subject Terms: Male, puberty, Adolescent, QH301-705.5, Physiology, Growth, Models, Biological, 01 natural sciences, Young Adult, 03 medical and health sciences, sitar, 0302 clinical medicine, QP1-981, Humans, Longitudinal Studies, Sexual Maturation, Biology (General), 0101 mathematics, Child, 10. No inequality, 2. Zero hunger, Anthropometry, Height, SITAR, QM1-695, Puberty, age at peak velocity, Body Height, 3. Good health, England, Research Design, Human anatomy, height, Research Paper
Description: The SITAR model expresses individual pubertal height growth in terms of mean size, peak height velocity (PHV) and age at PHV.To use SITAR to identify the optimal time interval between measurements to summarise individual pubertal height growth.Heights 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.The 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.Height during puberty needs to be measured only annually and, with slightly lower precision, just four biennial measurements can be sufficient.
Document Type: Article
Conference object
Other literature type
Language: English
ISSN: 1464-5033
0301-4460
DOI: 10.1080/03014460.2018.1453948
Access URL: https://www.tandfonline.com/doi/pdf/10.1080/03014460.2018.1453948?needAccess=true
https://pubmed.ncbi.nlm.nih.gov/29669435
https://doaj.org/article/655514e654ff45c9aca8f3560b0fa83d
https://www.tandfonline.com/doi/full/10.1080/03014460.2018.1453948
https://pubmed.ncbi.nlm.nih.gov/29669435/
https://europepmc.org/article/MED/29669435
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6191888/
https://discovery-pp.ucl.ac.uk/id/eprint/10051893/
Rights: CC BY
Accession Number: edsair.doi.dedup.....e7b28251ab17aa1ea84be855121818c6
Database: OpenAIRE
Description
Abstract:The SITAR model expresses individual pubertal height growth in terms of mean size, peak height velocity (PHV) and age at PHV.To use SITAR to identify the optimal time interval between measurements to summarise individual pubertal height growth.Heights 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.The 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.Height during puberty needs to be measured only annually and, with slightly lower precision, just four biennial measurements can be sufficient.
ISSN:14645033
03014460
DOI:10.1080/03014460.2018.1453948