Evidence map›Paper›PMID 25413651›Full record

ArticleAnnals of nutrition & metabolism2014

Modelling childhood growth using fractional polynomials and linear splines.

Kate Tilling, Corrie Macdonald-Wallis, Debbie A Lawlor, Rachael A Hughes, Laura D Howe

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Article in Annals of nutrition & metabolism, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 60 papers.

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60citing papers in PubMed
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3 · Its place in the literature

Who cites it

60 citing papers in PubMed.

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  6. Clopidogrel Dosing Scheme in Pediatric Cardiac Patients 0-24 Months Old Using P2YThe journal of pediatric pharmacology and therapeutics : JPPT : the official journal of PPAG · 2026
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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Kate TillingSchool of Social and Community Medicine and MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK.
Corrie Macdonald-Wallis
Debbie A Lawlor
Rachael A Hughes
Laura D Howe

Funding

Medical Research Council G1000726Medical Research Council G1002375Medical Research Council MC_PC_15018Medical Research Council MC_UU_12013/5Medical Research Council MC_UU_12013/9Medical Research Council MR/J011932/1Medical Research Council MR/J013773/1Wellcome Trust 102215
6 · The paper itself

Abstract

backgroundThere is increasing emphasis in medical research on modelling growth across the life course and identifying factors associated with growth. Here, we demonstrate multilevel models for childhood growth either as a smooth function (using fractional polynomials) or a set of connected linear phases (using linear splines).

methodsWe related parental social class to height from birth to 10 years of age in 5,588 girls from the Avon Longitudinal Study of Parents and Children (ALSPAC). Multilevel fractional polynomial modelling identified the best-fitting model as being of degree 2 with powers of the square root of age, and the square root of age multiplied by the log of age. The multilevel linear spline model identified knot points at 3, 12 and 36 months of age.

resultsBoth the fractional polynomial and linear spline models show an initially fast rate of growth, which slowed over time. Both models also showed that there was a disparity in length between manual and non-manual social class infants at birth, which decreased in magnitude until approximately 1 year of age and then increased.

conclusionsMultilevel fractional polynomials give a more realistic smooth function, and linear spline models are easily interpretable. Each can be used to summarise individual growth trajectories and their relationships with individual-level exposures.

Indexed as

Models, StatisticalBody HeightChildChild DevelopmentChild, PreschoolFemaleHumansInfantLinear ModelsLongitudinal StudiesSocial Class

Identifiers

PMID25413651
PMCPMC4264511

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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.