Statistical methods for body mass index: a selective review

<p>Obesity rates have been increasing over recent decades, causing significant concern among policy makers. Excess body fat, commonly measured by body mass index, is a major risk factor for several common disorders including diabetes and cardiovascular disease, placing a substantial burden on...

Celý popis

Podrobná bibliografie
Hlavní autoři: Yu, K, Liu, X, Alhamzawi, R, Becker, F, Lord, J
Médium: Journal article
Vydáno: SAGE Publications 2016
_version_ 1826283239847755776
author Yu, K
Liu, X
Alhamzawi, R
Becker, F
Lord, J
author_facet Yu, K
Liu, X
Alhamzawi, R
Becker, F
Lord, J
author_sort Yu, K
collection OXFORD
description <p>Obesity rates have been increasing over recent decades, causing significant concern among policy makers. Excess body fat, commonly measured by body mass index, is a major risk factor for several common disorders including diabetes and cardiovascular disease, placing a substantial burden on health care systems. To guide effective public health action, we need to understand the complex system of intercorrelated influences on body mass index. This paper, based on all eligible articles searched from Global health, Medline and Web of Science databases, reviews both classical and modern statistical methods for body mass index analysis. We give a description of each of these methods, exploring the classification, links and differences between them and the reasons for choosing one over the others in different settings. We aim to provide a key resource and statistical library for researchers in public health and medicine to deal with obesity and body mass index data analysis.</p>
first_indexed 2024-03-07T00:55:55Z
format Journal article
id oxford-uuid:88138fe2-aef5-4def-bbde-923548724b3c
institution University of Oxford
last_indexed 2024-03-07T00:55:55Z
publishDate 2016
publisher SAGE Publications
record_format dspace
spelling oxford-uuid:88138fe2-aef5-4def-bbde-923548724b3c2022-03-26T22:14:40ZStatistical methods for body mass index: a selective reviewJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:88138fe2-aef5-4def-bbde-923548724b3cSymplectic Elements at OxfordSAGE Publications2016Yu, KLiu, XAlhamzawi, RBecker, FLord, J <p>Obesity rates have been increasing over recent decades, causing significant concern among policy makers. Excess body fat, commonly measured by body mass index, is a major risk factor for several common disorders including diabetes and cardiovascular disease, placing a substantial burden on health care systems. To guide effective public health action, we need to understand the complex system of intercorrelated influences on body mass index. This paper, based on all eligible articles searched from Global health, Medline and Web of Science databases, reviews both classical and modern statistical methods for body mass index analysis. We give a description of each of these methods, exploring the classification, links and differences between them and the reasons for choosing one over the others in different settings. We aim to provide a key resource and statistical library for researchers in public health and medicine to deal with obesity and body mass index data analysis.</p>
spellingShingle Yu, K
Liu, X
Alhamzawi, R
Becker, F
Lord, J
Statistical methods for body mass index: a selective review
title Statistical methods for body mass index: a selective review
title_full Statistical methods for body mass index: a selective review
title_fullStr Statistical methods for body mass index: a selective review
title_full_unstemmed Statistical methods for body mass index: a selective review
title_short Statistical methods for body mass index: a selective review
title_sort statistical methods for body mass index a selective review
work_keys_str_mv AT yuk statisticalmethodsforbodymassindexaselectivereview
AT liux statisticalmethodsforbodymassindexaselectivereview
AT alhamzawir statisticalmethodsforbodymassindexaselectivereview
AT beckerf statisticalmethodsforbodymassindexaselectivereview
AT lordj statisticalmethodsforbodymassindexaselectivereview