Open AccessIndian growth references from 0-18-Year-Old children and adolescents - A comparison of two methods
Author(s) -
Vaman Khadilkar,
Anuradha Khadilkar,
Neha Kajale
Publication year - 2019
Publication title -
indian journal of endocrinology and metabolism
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.456
H-Index - 28
eISSN - 2230-9500
pISSN - 2230-8210
DOI - 10.4103/ijem.ijem_555_19
Subject(s) - percentile , anthropometry , body mass index , statistics , medicine , population , regression analysis , index (typography) , demography , mathematics , computer science , environmental health , pathology , sociology , world wide web
For updating growth references, large datasets are usually required; collection of these data are expensive and cumbersome. Using a combination of regression equations, Preece Baines model and global LMS values, synthetic growth references for the target population can be generated. The objective of this study is to compare growth references created from continuous anthropometric data using LMS method versus those created synthetically from anthropometric means at key ages.