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Best anthropometric discriminators of incident type 2 diabetes among white and black adults: A longitudinal ARIC study
OBJECTIVE: To determine which anthropometric measures are the strongest discriminators of incident type 2 diabetes (T2DM) among White and Black males and females in a large U.S. cohort. METHODS: We used Atherosclerosis Risk in Communities study data from 12,121 participants aged 45–64 years without...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5283673/ https://www.ncbi.nlm.nih.gov/pubmed/28141847 http://dx.doi.org/10.1371/journal.pone.0168282 |
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author | Hardy, Dale S. Stallings, Devita T. Garvin, Jane T. Xu, Hongyan Racette, Susan B. |
author_facet | Hardy, Dale S. Stallings, Devita T. Garvin, Jane T. Xu, Hongyan Racette, Susan B. |
author_sort | Hardy, Dale S. |
collection | PubMed |
description | OBJECTIVE: To determine which anthropometric measures are the strongest discriminators of incident type 2 diabetes (T2DM) among White and Black males and females in a large U.S. cohort. METHODS: We used Atherosclerosis Risk in Communities study data from 12,121 participants aged 45–64 years without diabetes at baseline who were followed for over 11 years. Anthropometric measures included a body shape index (ABSI), body adiposity index (BAI), body mass index (BMI), waist circumference (WC), waist to hip ratio (WHR), waist to height ratio (WHtR), and waist to hip to height ratio (WHHR). All anthropometric measures were repeated at each visit and converted to Z-scores. Hazard ratios and 95% confidence intervals adjusted for age were calculated using repeated measures Cox proportional hazard regression analysis. Akaike Information Criteria was used to select best-fit models. The magnitude of the hazard ratio effect sizes and the Harrell’s C-indexes were used to rank the highest associations and discriminators, respectively. RESULTS: There were 1,359 incident diabetes cases. Higher values of all anthropometric measures increased the risk for development of T2DM (p < 0.0001) except ABSI, which was not significant in White and Black males. Statistically significant hazard ratios ranged from 1.26–1.63 for males and 1.15–1.88 for females. In general, the largest hazard ratios were those that corresponded to the highest Harrell’s C-Index and lowest Akaike Information Criteria values. Among White and Black males and females, BMI, WC, WHR, and WHtR were comparable in discriminating cases from non-cases of T2DM. ABSI, BAI, and WHHR were inferior discriminators of incident T2DM across all race-gender groups. CONCLUSIONS: BMI, the most commonly used anthropometric measure, and three anthropometric measures that included waist circumference (i.e., WC, WHR, WHtR) were the best anthropometric discriminators of incident T2DM across all race-gender groups in the ARIC cohort. |
format | Online Article Text |
id | pubmed-5283673 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-52836732017-02-17 Best anthropometric discriminators of incident type 2 diabetes among white and black adults: A longitudinal ARIC study Hardy, Dale S. Stallings, Devita T. Garvin, Jane T. Xu, Hongyan Racette, Susan B. PLoS One Research Article OBJECTIVE: To determine which anthropometric measures are the strongest discriminators of incident type 2 diabetes (T2DM) among White and Black males and females in a large U.S. cohort. METHODS: We used Atherosclerosis Risk in Communities study data from 12,121 participants aged 45–64 years without diabetes at baseline who were followed for over 11 years. Anthropometric measures included a body shape index (ABSI), body adiposity index (BAI), body mass index (BMI), waist circumference (WC), waist to hip ratio (WHR), waist to height ratio (WHtR), and waist to hip to height ratio (WHHR). All anthropometric measures were repeated at each visit and converted to Z-scores. Hazard ratios and 95% confidence intervals adjusted for age were calculated using repeated measures Cox proportional hazard regression analysis. Akaike Information Criteria was used to select best-fit models. The magnitude of the hazard ratio effect sizes and the Harrell’s C-indexes were used to rank the highest associations and discriminators, respectively. RESULTS: There were 1,359 incident diabetes cases. Higher values of all anthropometric measures increased the risk for development of T2DM (p < 0.0001) except ABSI, which was not significant in White and Black males. Statistically significant hazard ratios ranged from 1.26–1.63 for males and 1.15–1.88 for females. In general, the largest hazard ratios were those that corresponded to the highest Harrell’s C-Index and lowest Akaike Information Criteria values. Among White and Black males and females, BMI, WC, WHR, and WHtR were comparable in discriminating cases from non-cases of T2DM. ABSI, BAI, and WHHR were inferior discriminators of incident T2DM across all race-gender groups. CONCLUSIONS: BMI, the most commonly used anthropometric measure, and three anthropometric measures that included waist circumference (i.e., WC, WHR, WHtR) were the best anthropometric discriminators of incident T2DM across all race-gender groups in the ARIC cohort. Public Library of Science 2017-01-31 /pmc/articles/PMC5283673/ /pubmed/28141847 http://dx.doi.org/10.1371/journal.pone.0168282 Text en © 2017 Hardy et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Hardy, Dale S. Stallings, Devita T. Garvin, Jane T. Xu, Hongyan Racette, Susan B. Best anthropometric discriminators of incident type 2 diabetes among white and black adults: A longitudinal ARIC study |
title | Best anthropometric discriminators of incident type 2 diabetes among white and black adults: A longitudinal ARIC study |
title_full | Best anthropometric discriminators of incident type 2 diabetes among white and black adults: A longitudinal ARIC study |
title_fullStr | Best anthropometric discriminators of incident type 2 diabetes among white and black adults: A longitudinal ARIC study |
title_full_unstemmed | Best anthropometric discriminators of incident type 2 diabetes among white and black adults: A longitudinal ARIC study |
title_short | Best anthropometric discriminators of incident type 2 diabetes among white and black adults: A longitudinal ARIC study |
title_sort | best anthropometric discriminators of incident type 2 diabetes among white and black adults: a longitudinal aric study |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5283673/ https://www.ncbi.nlm.nih.gov/pubmed/28141847 http://dx.doi.org/10.1371/journal.pone.0168282 |
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