Methods to obtain referral criteria in growth monitoring

van Dommelen, P; van Buuren, S

HERO ID

1858138

Reference Type

Journal Article

Year

2014

Language

English

PMID

23376959

HERO ID 1858138
In Press No
Year 2014
Title Methods to obtain referral criteria in growth monitoring
Authors van Dommelen, P; van Buuren, S
Journal Statistical Methods in Medical Research
Volume 23
Issue 4
Page Numbers 369-389
Abstract An important goal of growth monitoring is to identify genetic disorders, diseases or other conditions that manifest themselves through an abnormal growth. The two main conditions that can be detected by height monitoring are Turner's syndrome and growth hormone deficiency. Conditions or risk factors that can be detected by monitoring weight or body mass index include hypernatremic dehydration, celiac disease, cystic fibrosis and obesity. Monitoring infant head growth can be used to detect macrocephaly, developmental disorder and ill health in childhood. This paper describes statistical methods to obtain evidence-based referral criteria in growth monitoring. The referral criteria that we discuss are based on either anthropometric measurement(s) at a fixed age using (1) a Centile or a Standard Deviation Score, (2) a Standard Deviation corrected for parental height, (3) a Likelihood Ratio Statistic and (4) an ellipse, or on multiple measurements over time using (5) a growth rate and (6) a growth curve model. We review the potential uses of these methods, and outline their strengths and limitations.
Doi 10.1177/0962280212473301
Pmid 23376959
Is Certified Translation No
Dupe Override No
Is Public Yes
Language Text English