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Excessive adiposity at low BMI levels among women in rural Bangladesh

Asian populations have a higher percentage body fat (%BF) and are at higher risk for CVD and related complications at a given BMI compared with those of European descent. We explored whether %BF was disproportionately elevated in rural Bangladeshi women with low BMI. Height, weight, mid-upper arm ci...

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Autores principales: Shaikh, Saijuddin, Jones-Smith, Jessica, Schulze, Kerry, Ali, Hasmot, Christian, Parul, Shamim, Abu Ahmed, Mehra, Sucheta, Labrique, Alain, Klemm, Rolf, Wu, Lee, Rashid, Mahbubur, West, Keith P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cambridge University Press 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4791523/
https://www.ncbi.nlm.nih.gov/pubmed/27313847
http://dx.doi.org/10.1017/jns.2015.32
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author Shaikh, Saijuddin
Jones-Smith, Jessica
Schulze, Kerry
Ali, Hasmot
Christian, Parul
Shamim, Abu Ahmed
Mehra, Sucheta
Labrique, Alain
Klemm, Rolf
Wu, Lee
Rashid, Mahbubur
West, Keith P.
author_facet Shaikh, Saijuddin
Jones-Smith, Jessica
Schulze, Kerry
Ali, Hasmot
Christian, Parul
Shamim, Abu Ahmed
Mehra, Sucheta
Labrique, Alain
Klemm, Rolf
Wu, Lee
Rashid, Mahbubur
West, Keith P.
author_sort Shaikh, Saijuddin
collection PubMed
description Asian populations have a higher percentage body fat (%BF) and are at higher risk for CVD and related complications at a given BMI compared with those of European descent. We explored whether %BF was disproportionately elevated in rural Bangladeshi women with low BMI. Height, weight, mid-upper arm circumference, triceps and subscapular skinfolds and bioelectrical impedance analysis (BIA) were measured in 1555 women at 3 months postpartum. %BF was assessed by skinfolds and by BIA. BMI was calculated in adults and BMI Z-scores were calculated for females <20 years old. Receiver operating characteristic (ROC) curves found the BMI and BMI Z-score cut-offs that optimally classified women as having moderately excessive adipose tissue (defined as >30 % body fat). Linear regressions estimated the association between BMI and BMI Z-score (among adolescents) and %BF. Mean BMI was 19·2 (sd 2·2) kg/m(2), and mean %BF was calculated as 23·7 (sd 4·8) % by skinfolds and 23·3 (sd 4·9) % by BIA. ROC analyses indicated that a BMI value of approximately 21 kg/m(2) optimised sensitivity (83·6 %) and specificity (84·2 %) for classifying subjects with >30 % body fat according to BIA among adults. This BMI level is substantially lower than the WHO recommended standard cut-off point of BMI ≥ 25 kg/m(2). The equivalent cut-off among adolescents was a BMI Z-score of –0·36, with a sensitivity of 81·3 % and specificity of 80·9 %. These findings suggest that Bangladeshi women exhibit excess adipose tissue at substantially lower BMI compared with non-South Asian populations. This is important for the identification and prevention of obesity-related metabolic diseases.
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spelling pubmed-47915232016-05-09 Excessive adiposity at low BMI levels among women in rural Bangladesh Shaikh, Saijuddin Jones-Smith, Jessica Schulze, Kerry Ali, Hasmot Christian, Parul Shamim, Abu Ahmed Mehra, Sucheta Labrique, Alain Klemm, Rolf Wu, Lee Rashid, Mahbubur West, Keith P. J Nutr Sci Research Article Asian populations have a higher percentage body fat (%BF) and are at higher risk for CVD and related complications at a given BMI compared with those of European descent. We explored whether %BF was disproportionately elevated in rural Bangladeshi women with low BMI. Height, weight, mid-upper arm circumference, triceps and subscapular skinfolds and bioelectrical impedance analysis (BIA) were measured in 1555 women at 3 months postpartum. %BF was assessed by skinfolds and by BIA. BMI was calculated in adults and BMI Z-scores were calculated for females <20 years old. Receiver operating characteristic (ROC) curves found the BMI and BMI Z-score cut-offs that optimally classified women as having moderately excessive adipose tissue (defined as >30 % body fat). Linear regressions estimated the association between BMI and BMI Z-score (among adolescents) and %BF. Mean BMI was 19·2 (sd 2·2) kg/m(2), and mean %BF was calculated as 23·7 (sd 4·8) % by skinfolds and 23·3 (sd 4·9) % by BIA. ROC analyses indicated that a BMI value of approximately 21 kg/m(2) optimised sensitivity (83·6 %) and specificity (84·2 %) for classifying subjects with >30 % body fat according to BIA among adults. This BMI level is substantially lower than the WHO recommended standard cut-off point of BMI ≥ 25 kg/m(2). The equivalent cut-off among adolescents was a BMI Z-score of –0·36, with a sensitivity of 81·3 % and specificity of 80·9 %. These findings suggest that Bangladeshi women exhibit excess adipose tissue at substantially lower BMI compared with non-South Asian populations. This is important for the identification and prevention of obesity-related metabolic diseases. Cambridge University Press 2016-02-17 /pmc/articles/PMC4791523/ /pubmed/27313847 http://dx.doi.org/10.1017/jns.2015.32 Text en © The Author(s) 2016 http://creativecommons.org/licenses/by/4.0/ This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Shaikh, Saijuddin
Jones-Smith, Jessica
Schulze, Kerry
Ali, Hasmot
Christian, Parul
Shamim, Abu Ahmed
Mehra, Sucheta
Labrique, Alain
Klemm, Rolf
Wu, Lee
Rashid, Mahbubur
West, Keith P.
Excessive adiposity at low BMI levels among women in rural Bangladesh
title Excessive adiposity at low BMI levels among women in rural Bangladesh
title_full Excessive adiposity at low BMI levels among women in rural Bangladesh
title_fullStr Excessive adiposity at low BMI levels among women in rural Bangladesh
title_full_unstemmed Excessive adiposity at low BMI levels among women in rural Bangladesh
title_short Excessive adiposity at low BMI levels among women in rural Bangladesh
title_sort excessive adiposity at low bmi levels among women in rural bangladesh
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4791523/
https://www.ncbi.nlm.nih.gov/pubmed/27313847
http://dx.doi.org/10.1017/jns.2015.32
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