T J Cole1. 1. MRC Dunn Nutrition Centre, Cambridge.
Abstract
AIM: To provide a simple method for assessing centile change based on the British 1990 growth reference. STATISTICAL METHOD: The change in SD score over a period of time has SD square root of 2(1-r), where r is the correlation between the first and second SD score. This leads to an SD score for centile change. DATA: Annual height measurements from 2 to 9 years for 318 children from the French longitudinal growth study. RESULTS: The correlations between heights at different ages are higher for shorter measurement intervals and at older ages. The chance of a child's height centile falling one centile band width is correspondingly smaller for shorter measurement intervals and at older ages. An increase in height measurement error reduces the correlations and dramatically increases the chances of centile crossing. CONCLUSIONS: Quantitative height monitoring based on centile change is provided for whole year periods between 2 and 9 years of age. Effective monitoring requires the measurement error to be as small as possible.
AIM: To provide a simple method for assessing centile change based on the British 1990 growth reference. STATISTICAL METHOD: The change in SD score over a period of time has SD square root of 2(1-r), where r is the correlation between the first and second SD score. This leads to an SD score for centile change. DATA: Annual height measurements from 2 to 9 years for 318 children from the French longitudinal growth study. RESULTS: The correlations between heights at different ages are higher for shorter measurement intervals and at older ages. The chance of a child's height centile falling one centile band width is correspondingly smaller for shorter measurement intervals and at older ages. An increase in height measurement error reduces the correlations and dramatically increases the chances of centile crossing. CONCLUSIONS: Quantitative height monitoring based on centile change is provided for whole year periods between 2 and 9 years of age. Effective monitoring requires the measurement error to be as small as possible.
Authors: C McCowan; R G Neville; G E Thomas; I K Crombie; R A Clark; I W Ricketts; A Y Cairns; F C Warner; S A Greene; E White Journal: BMJ Date: 1998-02-28
Authors: Rebecca Zhang; Eduardo A Undurraga; Wu Zeng; Victoria Reyes-García; Susan Tanner; William R Leonard; Jere R Behrman; Ricardo A Godoy Journal: Ann Hum Biol Date: 2016-06-29 Impact factor: 1.533
Authors: Melissa Wake; Louise A Baur; Bibi Gerner; Kay Gibbons; Lisa Gold; Jane Gunn; Penny Levickis; Zoë McCallum; Geraldine Naughton; Lena Sanci; Obioha C Ukoumunne Journal: BMJ Date: 2009-09-03