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

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 st...

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Autores principales: Gillison, Fiona B., Grey, Elisabeth B., Cumming, Sean P., Sherar, Lauren B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8561871/
https://www.ncbi.nlm.nih.gov/pubmed/34727900
http://dx.doi.org/10.1186/s12889-021-12037-4
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author Gillison, Fiona B.
Grey, Elisabeth B.
Cumming, Sean P.
Sherar, Lauren B.
author_facet Gillison, Fiona B.
Grey, Elisabeth B.
Cumming, Sean P.
Sherar, Lauren B.
author_sort Gillison, Fiona B.
collection PubMed
description 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-021-12037-4.
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spelling pubmed-85618712021-11-03 Does adjusting for biological maturity when calculating child weight status improve the accuracy of predicting future health risk? Gillison, Fiona B. Grey, Elisabeth B. Cumming, Sean P. Sherar, Lauren B. BMC Public Health Research 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-021-12037-4. BioMed Central 2021-11-02 /pmc/articles/PMC8561871/ /pubmed/34727900 http://dx.doi.org/10.1186/s12889-021-12037-4 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Gillison, Fiona B.
Grey, Elisabeth B.
Cumming, Sean P.
Sherar, Lauren B.
Does adjusting for biological maturity when calculating child weight status improve the accuracy of predicting future health risk?
title 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_short 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?
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8561871/
https://www.ncbi.nlm.nih.gov/pubmed/34727900
http://dx.doi.org/10.1186/s12889-021-12037-4
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