Assessing the optimal time interval between growth measurements using a combined data set of weights and heights from 5948 infants

Wright, C. M. , Haig, C. , Harjunmaa, U., Sivakanthan, H. and Cole, T. J. (2022) Assessing the optimal time interval between growth measurements using a combined data set of weights and heights from 5948 infants. Archives of Disease in Childhood, 107(4), pp. 341-345. (doi: 10.1136/archdischild-2021-322479) (PMID:34521634)

[img] Text
250355.pdf - Accepted Version
Available under License Creative Commons Attribution Non-commercial.



Background: Current guidance on the optimum interval between measurements in infancy is not evidence based. We used routine data to explore how measurement error and short-term variation (‘noise’) might affect interpretation of infant weight and length gain (‘signal’) over different time intervals. Method: Using a database of weights and lengths from 5948 infants aged 0–12 months, all pairs of measurements per child 2, 4 and 8 weeks apart were extracted. Separately, 20 babies aged 2–10 months were weighed on six occasions over 3 days to estimate the SD of the weight difference between adjacent measurements (=116 g). Values of 116 g and 0.5 cm for ‘noise’ were then used to model its impact on (a) the estimated velocity centile and (b) the chance of seeing no growth during the interval, in individuals. Results: The average gain in weight and length was much larger than the corresponding SD over 8-week and 4-week time intervals, but not over 2 weeks. Noise tended to make apparent velocity less extreme; after age 6 months, a 2-week velocity that appeared to be on to the ninth centile, would truly be on the second–third centile if measured with no noise. For 2-week intervals, there was a 16% risk of no apparent growth by age 10 months. Conclusions: Growth in infancy is so rapid that the change in measurements 4–8 weeks apart is unlikely ever to be obscured by noise, but after age 6 months, measurements 2 weeks or less apart should be treated with caution when assessing growth faltering.

Item Type:Articles
Additional Information:Funding This work was supported by Chief Scientist Office, Scotland (90549) and Glasgow Children’s Hospital Charity (168979-01).
Glasgow Author(s) Enlighten ID:Haig, Dr Caroline and Wright, Professor Charlotte
Authors: Wright, C. M., Haig, C., Harjunmaa, U., Sivakanthan, H., and Cole, T. J.
College/School:College of Medical Veterinary and Life Sciences > School of Health & Wellbeing > Robertson Centre
College of Medical Veterinary and Life Sciences > School of Medicine, Dentistry & Nursing
Journal Name:Archives of Disease in Childhood
Publisher:BMJ Publishing Group
ISSN (Online):1468-2044
Published Online:14 September 2021
Copyright Holders:Copyright © 2021 The Authors
First Published:First published in Archives of Disease in Childhood 107(4): 341-345
Publisher Policy:Reproduced in accordance with the publisher copyright policy

University Staff: Request a correction | Enlighten Editors: Update this record

Project CodeAward NoProject NamePrincipal InvestigatorFunder's NameFunder RefLead Dept
190549The role of weight gain in the identification of under and over nutrition: compiling a longitudinal growth datasetCharlotte WrightOffice of the Chief Scientific Adviser (CSO)CZH/4/676Med - Child Health