Scaling children's waist circumference for differences in body size
Objectives: Both waist circumference (WC) and body size (height) increase with age throughout childhood. Hence, there is a need to scale WC in children to detect differences in adiposity status (eg, between populations and different age groups), independent of body size/height. Methods: Using two cu...
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ir-10336-241182022-05-02T12:37:14Z Scaling children's waist circumference for differences in body size Nevill, Alan M Duncan, Michael J. Lahart, Ian M Davies, Paul Sandercock, Gavin Ramírez-Vélez, Robinson Adolescent Anthropometry Body height Body size Child Colombia England Female Human Male Obesity Procedures Waist circumference Adiposity Adolescent Anthropometry Body height Body size Child Colombia England Female Humans Male Waist circumference Objectives: Both waist circumference (WC) and body size (height) increase with age throughout childhood. Hence, there is a need to scale WC in children to detect differences in adiposity status (eg, between populations and different age groups), independent of body size/height. Methods: Using two culturally different samples, 1 English (10–15.9 years n = 9471) and 2 Colombian (14–15 years, n = 37,948), for WC to be independent of height (HT), a body shape index was obtained using the allometric power law WC = a.HTb. The model was linearized using log-transformation, and multiple regression/ANCOVA to estimate the height exponents for WC controlling for age, sex, and any other categorical/population differences. Results: In both samples, the power-law height exponent varied systematically with age. In younger children (age 10–11 years), the exponent was approximately unity, suggesting that pre-pubertal children might be geometrically similar. In older children, the height exponent declined monotonically to 0.5 (ie, HT0.5) in 15+ year-olds, similar to the exponent observed in adults. UK children's height-adjusted WC revealed a “u” shaped curve with age that appeared to reach a minimum at peak-height velocity, different for boys and girls. Comparing the WC of two populations (UK versus Colombian 14–15-year-old children) identified that the gap in WC between the countries narrowed considerably after scaling for height. Conclusions: Scaling children's WC for differences in height using allometric modeling reveals new insights into the growth and development of children's WC, findings that might well have been be overlooked if body size/height had been ignored. © 2017 Wiley Periodicals, Inc. 2017 2020-05-26T00:08:50Z info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion 10420533 15206300 https://repository.urosario.edu.co/handle/10336/24118 https://doi.org/10.1002/ajhb.23037 eng info:eu-repo/semantics/openAccess application/pdf Wiley-Liss Inc. instname:Universidad del Rosario |
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EdocUR - Universidad del Rosario |
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DSpace |
language |
Inglés (English) |
topic |
Adolescent Anthropometry Body height Body size Child Colombia England Female Human Male Obesity Procedures Waist circumference Adiposity Adolescent Anthropometry Body height Body size Child Colombia England Female Humans Male Waist circumference |
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Adolescent Anthropometry Body height Body size Child Colombia England Female Human Male Obesity Procedures Waist circumference Adiposity Adolescent Anthropometry Body height Body size Child Colombia England Female Humans Male Waist circumference Nevill, Alan M Duncan, Michael J. Lahart, Ian M Davies, Paul Sandercock, Gavin Ramírez-Vélez, Robinson Scaling children's waist circumference for differences in body size |
description |
Objectives: Both waist circumference (WC) and body size (height) increase with age throughout childhood. Hence, there is a need to scale WC in children to detect differences in adiposity status (eg, between populations and different age groups), independent of body size/height. Methods: Using two culturally different samples, 1 English (10–15.9 years n = 9471) and 2 Colombian (14–15 years, n = 37,948), for WC to be independent of height (HT), a body shape index was obtained using the allometric power law WC = a.HTb. The model was linearized using log-transformation, and multiple regression/ANCOVA to estimate the height exponents for WC controlling for age, sex, and any other categorical/population differences. Results: In both samples, the power-law height exponent varied systematically with age. In younger children (age 10–11 years), the exponent was approximately unity, suggesting that pre-pubertal children might be geometrically similar. In older children, the height exponent declined monotonically to 0.5 (ie, HT0.5) in 15+ year-olds, similar to the exponent observed in adults. UK children's height-adjusted WC revealed a “u” shaped curve with age that appeared to reach a minimum at peak-height velocity, different for boys and girls. Comparing the WC of two populations (UK versus Colombian 14–15-year-old children) identified that the gap in WC between the countries narrowed considerably after scaling for height. Conclusions: Scaling children's WC for differences in height using allometric modeling reveals new insights into the growth and development of children's WC, findings that might well have been be overlooked if body size/height had been ignored. © 2017 Wiley Periodicals, Inc. |
format |
Artículo (Article) |
author |
Nevill, Alan M Duncan, Michael J. Lahart, Ian M Davies, Paul Sandercock, Gavin Ramírez-Vélez, Robinson |
author_facet |
Nevill, Alan M Duncan, Michael J. Lahart, Ian M Davies, Paul Sandercock, Gavin Ramírez-Vélez, Robinson |
author_sort |
Nevill, Alan M |
title |
Scaling children's waist circumference for differences in body size |
title_short |
Scaling children's waist circumference for differences in body size |
title_full |
Scaling children's waist circumference for differences in body size |
title_fullStr |
Scaling children's waist circumference for differences in body size |
title_full_unstemmed |
Scaling children's waist circumference for differences in body size |
title_sort |
scaling children's waist circumference for differences in body size |
publisher |
Wiley-Liss Inc. |
publishDate |
2017 |
url |
https://repository.urosario.edu.co/handle/10336/24118 https://doi.org/10.1002/ajhb.23037 |
_version_ |
1740172973905543168 |
score |
12,131701 |