Response to: Is inverted BMI really better than BMI in predicting body fatness in children?

Michael J. Duncan

doi:10.1038/ejcn.2014.147

Response to: Is inverted BMI really better than BMI in predicting body fatness in children?

Research output: Contribution to journal › Comment/debate

Abstract

We thank Dr Singhal1 for their interest in our article.2 The observations made by Dr Singhal are accurate in that inverted body mass index (iBMI) predicted 0.2% greater variance in body fatness than body mass index (BMI). However, we believe our assertion that iBMI is ‘better’ than BMI in our sample population is still valid and appropriate.

Original language	English
Pages (from-to)	1274
Journal	European Journal of Clinical Nutrition
Volume	68
Issue number	11
DOIs	https://doi.org/10.1038/ejcn.2014.147
Publication status	Published - Nov 2014

Bibliographical note

The published record of this letter to the editor is not available on the repository.

Keywords

accuracy
body fat
body mass
child
childhood obesity
disease association
human
inverted body mass index
Letter
medical research
nutritional assessment
nutritional status
nutritional value
outcome assessment
prediction

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1038/ejcn.2014.147

Cite this

@article{def93f8bb1ab4822881ae6249d7ed55f,

title = "Response to: Is inverted BMI really better than BMI in predicting body fatness in children?",

abstract = "We thank Dr Singhal1 for their interest in our article.2 The observations made by Dr Singhal are accurate in that inverted body mass index (iBMI) predicted 0.2% greater variance in body fatness than body mass index (BMI). However, we believe our assertion that iBMI is {\textquoteleft}better{\textquoteright} than BMI in our sample population is still valid and appropriate.",

keywords = "accuracy, body fat, body mass, child, childhood obesity, disease association, human, inverted body mass index, Letter, medical research, nutritional assessment, nutritional status, nutritional value, outcome assessment, prediction",

author = "Duncan, {Michael J.}",

note = "The published record of this letter to the editor is not available on the repository.",

year = "2014",

month = nov,

doi = "10.1038/ejcn.2014.147",

language = "English",

volume = "68",

pages = "1274",

journal = "European Journal of Clinical Nutrition",

issn = "0954-3007",