Does adjusting for biological maturity when calculating child weight status improve the accuracy of predicting future health risk?

Abstract Background The aim of this study was to assess whether adjusting the weight categorisation of children for their biological maturity status could improve the accuracy of predicting weight status and cardiometabolic risk at age 17. Methods Data from 1525 participants (787 female) from the AL...

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Autores principales: Fiona B. Gillison, Elisabeth B. Grey, Sean P. Cumming, Lauren B. Sherar
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Lenguaje:EN
Publicado: BMC 2021
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Acceso en línea:https://doaj.org/article/5571413d4c714051a4d4ce2220291118
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spelling oai:doaj.org-article:5571413d4c714051a4d4ce22202911182021-11-08T10:43:51ZDoes adjusting for biological maturity when calculating child weight status improve the accuracy of predicting future health risk?10.1186/s12889-021-12037-41471-2458https://doaj.org/article/5571413d4c714051a4d4ce22202911182021-11-01T00:00:00Zhttps://doi.org/10.1186/s12889-021-12037-4https://doaj.org/toc/1471-2458Abstract Background The aim of this study was to assess whether adjusting the weight categorisation of children for their biological maturity status could improve the accuracy of predicting weight status and cardiometabolic risk at age 17. Methods Data from 1525 participants (787 female) from the ALSPAC study were analysed. Participants’ weight status at age 11 was estimated using first standard chronological age and sex adjusted BMI cut-offs, and again using maturity adjusted BMI cut-offs. Each BMI category at age 11 was regressed against cardiometabolic risk score and BMI category at age 17, controlling for sex, ethnicity and socio-economic status. Results At age 11 years, 22% of boys and 46% of girls who were categorised as overweight or having obesity based on chronological age were re-categorised into a lower BMI category after adjusting for biological maturity. Biologically adjusted BMI categories better predicted BMI category at age 17 compared with non-adjusted BMI categories (∆BIC = − 21.69); the odds of having obesity at age 17 were 18.28 times greater with each increase in BMI category at age 11. Adjusted and non-adjusted BMI status at 11 years showed equivalent accuracy in predicting cardiometabolic risk at age 17; the odds ratio of high cardiometabolic risk was 1.85, with heightened risk in boys, particularly early maturers. Conclusion The traditional method of categorising adolescents into a BMI category may over-predict overweight and obesity, particularly in girls. Adjusting for biological maturity when estimating weight status through calculating adolescents’ BMI classification was equivalent to standard approaches in predicting other cardiovascular risk at age 17.Fiona B. GillisonElisabeth B. GreySean P. CummingLauren B. SherarBMCarticleALSPACMaturity timingChildhood obesityPublic aspects of medicineRA1-1270ENBMC Public Health, Vol 21, Iss 1, Pp 1-8 (2021)
institution DOAJ
collection DOAJ
language EN
topic ALSPAC
Maturity timing
Childhood obesity
Public aspects of medicine
RA1-1270
spellingShingle ALSPAC
Maturity timing
Childhood obesity
Public aspects of medicine
RA1-1270
Fiona B. Gillison
Elisabeth B. Grey
Sean P. Cumming
Lauren B. Sherar
Does adjusting for biological maturity when calculating child weight status improve the accuracy of predicting future health risk?
description Abstract Background The aim of this study was to assess whether adjusting the weight categorisation of children for their biological maturity status could improve the accuracy of predicting weight status and cardiometabolic risk at age 17. Methods Data from 1525 participants (787 female) from the ALSPAC study were analysed. Participants’ weight status at age 11 was estimated using first standard chronological age and sex adjusted BMI cut-offs, and again using maturity adjusted BMI cut-offs. Each BMI category at age 11 was regressed against cardiometabolic risk score and BMI category at age 17, controlling for sex, ethnicity and socio-economic status. Results At age 11 years, 22% of boys and 46% of girls who were categorised as overweight or having obesity based on chronological age were re-categorised into a lower BMI category after adjusting for biological maturity. Biologically adjusted BMI categories better predicted BMI category at age 17 compared with non-adjusted BMI categories (∆BIC = − 21.69); the odds of having obesity at age 17 were 18.28 times greater with each increase in BMI category at age 11. Adjusted and non-adjusted BMI status at 11 years showed equivalent accuracy in predicting cardiometabolic risk at age 17; the odds ratio of high cardiometabolic risk was 1.85, with heightened risk in boys, particularly early maturers. Conclusion The traditional method of categorising adolescents into a BMI category may over-predict overweight and obesity, particularly in girls. Adjusting for biological maturity when estimating weight status through calculating adolescents’ BMI classification was equivalent to standard approaches in predicting other cardiovascular risk at age 17.
format article
author Fiona B. Gillison
Elisabeth B. Grey
Sean P. Cumming
Lauren B. Sherar
author_facet Fiona B. Gillison
Elisabeth B. Grey
Sean P. Cumming
Lauren B. Sherar
author_sort Fiona B. Gillison
title Does adjusting for biological maturity when calculating child weight status improve the accuracy of predicting future health risk?
title_short Does adjusting for biological maturity when calculating child weight status improve the accuracy of predicting future health risk?
title_full Does adjusting for biological maturity when calculating child weight status improve the accuracy of predicting future health risk?
title_fullStr Does adjusting for biological maturity when calculating child weight status improve the accuracy of predicting future health risk?
title_full_unstemmed Does adjusting for biological maturity when calculating child weight status improve the accuracy of predicting future health risk?
title_sort does adjusting for biological maturity when calculating child weight status improve the accuracy of predicting future health risk?
publisher BMC
publishDate 2021
url https://doaj.org/article/5571413d4c714051a4d4ce2220291118
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