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A body shape index and body roundness index: two new body indices to identify diabetes mellitus among rural populations in northeast China

BACKGROUND: The Body Mass Index (BMI) has long been used as an anthropometric measurement. Waist circumference (WC) and waist-to-height ratio (WHtR) have been proposed as alternatives to BMI. Recently, two new anthropometric indices, the A Body Shape Index (ABSI) and Body Roundness Index (BRI) have...

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Autores principales: Chang, Ye, Guo, Xiaofan, Chen, Yintao, Guo, Liang, Li, Zhao, Yu, Shasha, Yang, Hongmei, Sun, Yingxian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4544789/
https://www.ncbi.nlm.nih.gov/pubmed/26286520
http://dx.doi.org/10.1186/s12889-015-2150-2
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author Chang, Ye
Guo, Xiaofan
Chen, Yintao
Guo, Liang
Li, Zhao
Yu, Shasha
Yang, Hongmei
Sun, Yingxian
author_facet Chang, Ye
Guo, Xiaofan
Chen, Yintao
Guo, Liang
Li, Zhao
Yu, Shasha
Yang, Hongmei
Sun, Yingxian
author_sort Chang, Ye
collection PubMed
description BACKGROUND: The Body Mass Index (BMI) has long been used as an anthropometric measurement. Waist circumference (WC) and waist-to-height ratio (WHtR) have been proposed as alternatives to BMI. Recently, two new anthropometric indices, the A Body Shape Index (ABSI) and Body Roundness Index (BRI) have been developed as possible improved alternatives to BMI and WC. The main research aim is to assess the capacity of the ABSI and BRI to identify subjects with diabetes mellitus (DM) and the secondary aim is to determine whether ABSI and/or BRI is superior to the traditional body indices (BMI, WC, and WHtR). METHODS AND RESULTS: This cross-sectional study was conducted in the rural areas of northeast China from January 2012 to August 2013, and the final analysis included data obtained form 5253 men and 6092 women. 1182 participants (10.4 %) suffered from DM. Spearman rank test showed that BRI and WHtR showed the highest Spearman correlation coefficient for DM whereas ABSI showed the lowest. The prevalence of DM increased across quartiles for ABSI, BMI, BRI, WC and WHtR. A multivariate logistic regression analysis of the presence of DM for the highest quartile vs. the lowest quartile of each anthropometric measure, showed that the WHtR was the best predictor of DM (OR: 2.40, 95 % CI: 1.42–3.39 in men; OR: 2.67, 95 % CI: 1.60–3.74 in women, both P < 0.001), and the ABSI was the poorest predictor of DM (OR: 1.51, 95 % CI: 1.05–1.97 in men; OR: 1.55, 95 % CI: 1.07–2.04 in women, both P < 0.05). ABSI showed the lowest AUCs (AUC: 0.61, 95 % CI: 0.58–0.63 for men; AUC: 0.61, 95 % CI: 0.59–0.63 for women) for DM in both sexes, while BRI (AUC: 0.66, 95 % CI: 0.63–0.68 for men; AUC: 0.67, 95 % CI: 0.65–0.69 for women) had high AUCs for DM that equaled those of WHtR. CONCLUSIONS: Our results showed neither ABSI nor BRI were superior to BMI, WC, or WHtR for predicting the presence of DM. ABSI showed the weakest predictive ability, while BRI showed potential for use as an alternative obesity measure in assessment of DM.
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spelling pubmed-45447892015-08-22 A body shape index and body roundness index: two new body indices to identify diabetes mellitus among rural populations in northeast China Chang, Ye Guo, Xiaofan Chen, Yintao Guo, Liang Li, Zhao Yu, Shasha Yang, Hongmei Sun, Yingxian BMC Public Health Research Article BACKGROUND: The Body Mass Index (BMI) has long been used as an anthropometric measurement. Waist circumference (WC) and waist-to-height ratio (WHtR) have been proposed as alternatives to BMI. Recently, two new anthropometric indices, the A Body Shape Index (ABSI) and Body Roundness Index (BRI) have been developed as possible improved alternatives to BMI and WC. The main research aim is to assess the capacity of the ABSI and BRI to identify subjects with diabetes mellitus (DM) and the secondary aim is to determine whether ABSI and/or BRI is superior to the traditional body indices (BMI, WC, and WHtR). METHODS AND RESULTS: This cross-sectional study was conducted in the rural areas of northeast China from January 2012 to August 2013, and the final analysis included data obtained form 5253 men and 6092 women. 1182 participants (10.4 %) suffered from DM. Spearman rank test showed that BRI and WHtR showed the highest Spearman correlation coefficient for DM whereas ABSI showed the lowest. The prevalence of DM increased across quartiles for ABSI, BMI, BRI, WC and WHtR. A multivariate logistic regression analysis of the presence of DM for the highest quartile vs. the lowest quartile of each anthropometric measure, showed that the WHtR was the best predictor of DM (OR: 2.40, 95 % CI: 1.42–3.39 in men; OR: 2.67, 95 % CI: 1.60–3.74 in women, both P < 0.001), and the ABSI was the poorest predictor of DM (OR: 1.51, 95 % CI: 1.05–1.97 in men; OR: 1.55, 95 % CI: 1.07–2.04 in women, both P < 0.05). ABSI showed the lowest AUCs (AUC: 0.61, 95 % CI: 0.58–0.63 for men; AUC: 0.61, 95 % CI: 0.59–0.63 for women) for DM in both sexes, while BRI (AUC: 0.66, 95 % CI: 0.63–0.68 for men; AUC: 0.67, 95 % CI: 0.65–0.69 for women) had high AUCs for DM that equaled those of WHtR. CONCLUSIONS: Our results showed neither ABSI nor BRI were superior to BMI, WC, or WHtR for predicting the presence of DM. ABSI showed the weakest predictive ability, while BRI showed potential for use as an alternative obesity measure in assessment of DM. BioMed Central 2015-08-19 /pmc/articles/PMC4544789/ /pubmed/26286520 http://dx.doi.org/10.1186/s12889-015-2150-2 Text en © Chang et al. 2015 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Chang, Ye
Guo, Xiaofan
Chen, Yintao
Guo, Liang
Li, Zhao
Yu, Shasha
Yang, Hongmei
Sun, Yingxian
A body shape index and body roundness index: two new body indices to identify diabetes mellitus among rural populations in northeast China
title A body shape index and body roundness index: two new body indices to identify diabetes mellitus among rural populations in northeast China
title_full A body shape index and body roundness index: two new body indices to identify diabetes mellitus among rural populations in northeast China
title_fullStr A body shape index and body roundness index: two new body indices to identify diabetes mellitus among rural populations in northeast China
title_full_unstemmed A body shape index and body roundness index: two new body indices to identify diabetes mellitus among rural populations in northeast China
title_short A body shape index and body roundness index: two new body indices to identify diabetes mellitus among rural populations in northeast China
title_sort body shape index and body roundness index: two new body indices to identify diabetes mellitus among rural populations in northeast china
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4544789/
https://www.ncbi.nlm.nih.gov/pubmed/26286520
http://dx.doi.org/10.1186/s12889-015-2150-2
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