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

Craig Hadley, Daniel Hruschka

Research output: Contribution to journalArticle

Abstract

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.

Original languageEnglish (US)
Pages (from-to)1-7
Number of pages7
JournalAnnals of Human Biology
DOIs
StateAccepted/In press - Aug 23 2017

Fingerprint

Weights and Measures
Child Health
Population Growth
Cough
Population
Diarrhea
Fever
Growth

Keywords

  • Body mass index
  • ecogeographical rules
  • Global health
  • malnutrition

ASJC Scopus subject areas

  • Epidemiology
  • Physiology
  • Aging
  • Genetics
  • Public Health, Environmental and Occupational Health

Cite this

@article{fdb9af2676e64c87b2d5395c5c8d7ddd,
title = "Testing ecological and universal models of body shape and child health using a global sample of infants and young children",
abstract = "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.",
keywords = "Body mass index, ecogeographical rules, Global health, malnutrition",
author = "Craig Hadley and Daniel Hruschka",
year = "2017",
month = "8",
day = "23",
doi = "10.1080/03014460.2017.1357755",
language = "English (US)",
pages = "1--7",
journal = "Annals of Human Biology",
issn = "0301-4460",
publisher = "Informa Healthcare",

}

TY - JOUR

T1 - Testing ecological and universal models of body shape and child health using a global sample of infants and young children

AU - Hadley, Craig

AU - Hruschka, Daniel

PY - 2017/8/23

Y1 - 2017/8/23

N2 - 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.

AB - 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.

KW - Body mass index

KW - ecogeographical rules

KW - Global health

KW - malnutrition

UR - http://www.scopus.com/inward/record.url?scp=85028549686&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85028549686&partnerID=8YFLogxK

U2 - 10.1080/03014460.2017.1357755

DO - 10.1080/03014460.2017.1357755

M3 - Article

SP - 1

EP - 7

JO - Annals of Human Biology

JF - Annals of Human Biology

SN - 0301-4460

ER -