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Using A Body Shape Index (ABSI) and Body Roundness Index (BRI) to predict risk of metabolic syndrome in Peruvian adults
OBJECTIVE: We examined the ability of anthropometric measures to predict the risk of metabolic syndrome (MetS) and its components in Peruvian adults. METHODS: Participants were 1,815 Peruvian adults. Body mass index (BMI), waist circumference (WC), A Body Shape Index (ABSI), Body Roundness Index (BR...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7140225/ https://www.ncbi.nlm.nih.gov/pubmed/31144540 http://dx.doi.org/10.1177/0300060519848854 |
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author | Stefanescu, Andrei Revilla, Luis Lopez, Tania Sanchez, Sixto E. Williams, Michelle A. Gelaye, Bizu |
author_facet | Stefanescu, Andrei Revilla, Luis Lopez, Tania Sanchez, Sixto E. Williams, Michelle A. Gelaye, Bizu |
author_sort | Stefanescu, Andrei |
collection | PubMed |
description | OBJECTIVE: We examined the ability of anthropometric measures to predict the risk of metabolic syndrome (MetS) and its components in Peruvian adults. METHODS: Participants were 1,815 Peruvian adults. Body mass index (BMI), waist circumference (WC), A Body Shape Index (ABSI), Body Roundness Index (BRI) and Visceral Adiposity Index were examined. MetS components were defined using the National Cholesterol Education Program’s Adult Treatment Panel III. Logistic regression was used to calculate odds ratios of MetS and MetS components in relation to increases in anthropometric measures. Receiver operating characteristic curves (and area under the curve) were calculated to compare each measure’s power to predict MetS and MetS components. RESULTS: BRI performed similar to or better than BMI and WC at predicting MetS and MetS components. ABSI underperformed other measures. In men, the odds of MetS and its components increased with unit increases in the anthropometric measures (e.g. a unit increase in BRI was associated with 2.43-fold increased odds of MetS; 95% confidence interval [CI]: 1.95–3.02). A similar association was found for women (odds ratio: 1.89; 95% CI: 1.68–2.12). CONCLUSION: Our study is the first to identify BRI as a potentially useful clinical predictor of MetS in Peruvian adults. |
format | Online Article Text |
id | pubmed-7140225 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | SAGE Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-71402252020-04-13 Using A Body Shape Index (ABSI) and Body Roundness Index (BRI) to predict risk of metabolic syndrome in Peruvian adults Stefanescu, Andrei Revilla, Luis Lopez, Tania Sanchez, Sixto E. Williams, Michelle A. Gelaye, Bizu J Int Med Res Special Issue: Prevention and Treatment of Cardiovascular Disease OBJECTIVE: We examined the ability of anthropometric measures to predict the risk of metabolic syndrome (MetS) and its components in Peruvian adults. METHODS: Participants were 1,815 Peruvian adults. Body mass index (BMI), waist circumference (WC), A Body Shape Index (ABSI), Body Roundness Index (BRI) and Visceral Adiposity Index were examined. MetS components were defined using the National Cholesterol Education Program’s Adult Treatment Panel III. Logistic regression was used to calculate odds ratios of MetS and MetS components in relation to increases in anthropometric measures. Receiver operating characteristic curves (and area under the curve) were calculated to compare each measure’s power to predict MetS and MetS components. RESULTS: BRI performed similar to or better than BMI and WC at predicting MetS and MetS components. ABSI underperformed other measures. In men, the odds of MetS and its components increased with unit increases in the anthropometric measures (e.g. a unit increase in BRI was associated with 2.43-fold increased odds of MetS; 95% confidence interval [CI]: 1.95–3.02). A similar association was found for women (odds ratio: 1.89; 95% CI: 1.68–2.12). CONCLUSION: Our study is the first to identify BRI as a potentially useful clinical predictor of MetS in Peruvian adults. SAGE Publications 2019-05-30 /pmc/articles/PMC7140225/ /pubmed/31144540 http://dx.doi.org/10.1177/0300060519848854 Text en © The Author(s) 2019 http://creativecommons.org/licenses/by-nc/4.0/ Creative Commons Non Commercial CC BY-NC: This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (http://www.creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage). |
spellingShingle | Special Issue: Prevention and Treatment of Cardiovascular Disease Stefanescu, Andrei Revilla, Luis Lopez, Tania Sanchez, Sixto E. Williams, Michelle A. Gelaye, Bizu Using A Body Shape Index (ABSI) and Body Roundness Index (BRI) to predict risk of metabolic syndrome in Peruvian adults |
title | Using A Body Shape Index (ABSI) and Body Roundness Index (BRI) to
predict risk of metabolic syndrome in Peruvian adults |
title_full | Using A Body Shape Index (ABSI) and Body Roundness Index (BRI) to
predict risk of metabolic syndrome in Peruvian adults |
title_fullStr | Using A Body Shape Index (ABSI) and Body Roundness Index (BRI) to
predict risk of metabolic syndrome in Peruvian adults |
title_full_unstemmed | Using A Body Shape Index (ABSI) and Body Roundness Index (BRI) to
predict risk of metabolic syndrome in Peruvian adults |
title_short | Using A Body Shape Index (ABSI) and Body Roundness Index (BRI) to
predict risk of metabolic syndrome in Peruvian adults |
title_sort | using a body shape index (absi) and body roundness index (bri) to
predict risk of metabolic syndrome in peruvian adults |
topic | Special Issue: Prevention and Treatment of Cardiovascular Disease |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7140225/ https://www.ncbi.nlm.nih.gov/pubmed/31144540 http://dx.doi.org/10.1177/0300060519848854 |
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