Testing ecological and universal models of body shape and child health using a global sample of infants and young children

Aim: To test whether a risk of child illness is best predicted by deviations from a population-specific growth distribution or a universal growth distribution. Subjects and methods: Child weight for height and child illness data from 433 776 children (1–59 months) from 47 different low and lower inc...

Full description

Bibliographic Details
Main Authors: Craig Hadley, Daniel J. Hruschka
Format: Article
Language:English
Published: Taylor & Francis Group 2017-10-01
Series:Annals of Human Biology
Subjects:
Online Access:http://dx.doi.org/10.1080/03014460.2017.1357755
_version_ 1797685613081657344
author Craig Hadley
Daniel J. Hruschka
author_facet Craig Hadley
Daniel J. Hruschka
author_sort Craig Hadley
collection DOAJ
description Aim: To test whether a risk of child illness is best predicted by deviations from a population-specific growth distribution or a universal growth distribution. Subjects and methods: Child weight for height and child illness data from 433 776 children (1–59 months) from 47 different low and lower income countries are used in regression models to estimate for each country the child basal weight for height. This study assesses the extent to which individuals within populations deviate from their basal slenderness. It uses correlation and regression techniques to estimate the relationship between child illness (diarrhoea, fever or cough) and basal weight for height, and residual weight for height. Results: In bivariate tests, basal weight for height z-score did not predict the country level prevalence of child illness (r2 = –0.01, n = 47, p = 0.53), but excess weight for height did (r2 = 0.14, p < 0.01). At the individual level, household wealth is negatively associated with the odds that a child is reported as ill (beta = –0.04, p < 0.001, n = 433 776) and basal weight for height was not (beta = 0.20, p = 0.27). Deviations from country-specific basal weight for height were negatively associated with the likelihood of illness (beta = –0.13, p < 0.01), indicating a 13% reduction in illness risk for every 0.1 standard deviation increase in residual weight-for-height Conclusion: These results are consistent with the idea that populations may differ in their body slenderness, and that deviations from this body form may predict the risk of childhood illness.
first_indexed 2024-03-12T00:46:41Z
format Article
id doaj.art-0302c7ac3bae482c852e3faa98317b99
institution Directory Open Access Journal
issn 0301-4460
1464-5033
language English
last_indexed 2024-03-12T00:46:41Z
publishDate 2017-10-01
publisher Taylor & Francis Group
record_format Article
series Annals of Human Biology
spelling doaj.art-0302c7ac3bae482c852e3faa98317b992023-09-14T15:36:09ZengTaylor & Francis GroupAnnals of Human Biology0301-44601464-50332017-10-0144760060610.1080/03014460.2017.13577551357755Testing ecological and universal models of body shape and child health using a global sample of infants and young childrenCraig Hadley0Daniel J. Hruschka1Emory UniversityArizona State UniversityAim: To test whether a risk of child illness is best predicted by deviations from a population-specific growth distribution or a universal growth distribution. Subjects and methods: Child weight for height and child illness data from 433 776 children (1–59 months) from 47 different low and lower income countries are used in regression models to estimate for each country the child basal weight for height. This study assesses the extent to which individuals within populations deviate from their basal slenderness. It uses correlation and regression techniques to estimate the relationship between child illness (diarrhoea, fever or cough) and basal weight for height, and residual weight for height. Results: In bivariate tests, basal weight for height z-score did not predict the country level prevalence of child illness (r2 = –0.01, n = 47, p = 0.53), but excess weight for height did (r2 = 0.14, p < 0.01). At the individual level, household wealth is negatively associated with the odds that a child is reported as ill (beta = –0.04, p < 0.001, n = 433 776) and basal weight for height was not (beta = 0.20, p = 0.27). Deviations from country-specific basal weight for height were negatively associated with the likelihood of illness (beta = –0.13, p < 0.01), indicating a 13% reduction in illness risk for every 0.1 standard deviation increase in residual weight-for-height Conclusion: These results are consistent with the idea that populations may differ in their body slenderness, and that deviations from this body form may predict the risk of childhood illness.http://dx.doi.org/10.1080/03014460.2017.1357755body mass indexecogeographical rulesmalnutritionglobal health
spellingShingle Craig Hadley
Daniel J. Hruschka
Testing ecological and universal models of body shape and child health using a global sample of infants and young children
Annals of Human Biology
body mass index
ecogeographical rules
malnutrition
global health
title Testing ecological and universal models of body shape and child health using a global sample of infants and young children
title_full Testing ecological and universal models of body shape and child health using a global sample of infants and young children
title_fullStr Testing ecological and universal models of body shape and child health using a global sample of infants and young children
title_full_unstemmed Testing ecological and universal models of body shape and child health using a global sample of infants and young children
title_short Testing ecological and universal models of body shape and child health using a global sample of infants and young children
title_sort testing ecological and universal models of body shape and child health using a global sample of infants and young children
topic body mass index
ecogeographical rules
malnutrition
global health
url http://dx.doi.org/10.1080/03014460.2017.1357755
work_keys_str_mv AT craighadley testingecologicalanduniversalmodelsofbodyshapeandchildhealthusingaglobalsampleofinfantsandyoungchildren
AT danieljhruschka testingecologicalanduniversalmodelsofbodyshapeandchildhealthusingaglobalsampleofinfantsandyoungchildren