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Relationship between “a body shape index (ABSI)” and body composition in obese patients with type 2 diabetes

BACKGROUND: Obesity is known to be related to the development of type 2 diabetes mellitus (T2D). The most commonly used anthropometric indicator (body mass index [BMI]) presents several limitations such as the lack of possibility to distinguish adipose tissue distribution. Thus, this study examines...

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Autores principales: Gomez-Peralta, Fernando, Abreu, Cristina, Cruz-Bravo, Margarita, Alcarria, Elvira, Gutierrez-Buey, Gala, Krakauer, Nir Y., Krakauer, Jesse C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5859756/
https://www.ncbi.nlm.nih.gov/pubmed/29568333
http://dx.doi.org/10.1186/s13098-018-0323-8
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author Gomez-Peralta, Fernando
Abreu, Cristina
Cruz-Bravo, Margarita
Alcarria, Elvira
Gutierrez-Buey, Gala
Krakauer, Nir Y.
Krakauer, Jesse C.
author_facet Gomez-Peralta, Fernando
Abreu, Cristina
Cruz-Bravo, Margarita
Alcarria, Elvira
Gutierrez-Buey, Gala
Krakauer, Nir Y.
Krakauer, Jesse C.
author_sort Gomez-Peralta, Fernando
collection PubMed
description BACKGROUND: Obesity is known to be related to the development of type 2 diabetes mellitus (T2D). The most commonly used anthropometric indicator (body mass index [BMI]) presents several limitations such as the lack of possibility to distinguish adipose tissue distribution. Thus, this study examines the suitability of a body shape index (ABSI) for prediction of body composition and sarcopenic obesity in obese or overweight T2D subjects. METHODS: Cross-sectional study in 199 overweight/obese T2D adults. Anthropometric (BMI, ABSI) and body composition (fat mass [FM], fat-free mass [FFM], fat mass index [FMI] and fat-free mass index, and the ratio FM/FFM as an index of sarcopenic obesity) data was collected, as well as metabolic parameters (glycated haemoglobin [HbA(1c)], mean blood glucose, fasting plasma glucose [FPG], high-density-lipoprotein cholesterol [HDL], low-density-lipoprotein cholesterol, total cholesterol, and triglycerides [TG] levels; the ratio TG/HDL was also calculated as a surrogate marker for insulin resistance). RESULTS: ABSI was significantly associated with age and waist circumference. It showed a statistically significant correlation with BMI exclusively in women. Regarding body composition, in men, ABSI was associated with FM (%), while in women it was associated with both FM and FFM. Both males and females groups with high ABSI scores were significantly older (men: 59.3 ± 10.8 vs 54.6 ± 10.1, p ≤ 0.05; women: 65.1 ± 9.8 vs 58.1 ± 13.3, p ≤ 0.005) and showed lower FFM values (men: 62.3 ± 9.0 vs 66.2 ± 9.3, p ≤ 0.05; women: 48.7 ± 5.6 vs 54.5 ± 8.9, p ≤ 0.001) compared with low-ABSI groups. Multiple linear regression revealed that ABSI independently predict FMI and the FM/FFM ratio in women. Sarcopenic obesity was identified in 70 (36.5%) individuals according to the FM/FFM ratio. The AUROC of ABSI was 63.1% (95% CI 54.6–71.6%; p = 0.003) and an ABSI value of 0.083 m(11/6) kg(−2/3) was the optimal threshold in discriminating patients with sarcopenic obesity (sensitivity: 48%, specificity: 73%). Moreover, a significant association between ABSI and FPG was found in men. CONCLUSIONS: ABSI could be useful to identify visceral and sarcopenic obesity in overweight/obese adults with T2D, adding some relevant clinical information to traditional anthropometric measures. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13098-018-0323-8) contains supplementary material, which is available to authorized users.
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spelling pubmed-58597562018-03-22 Relationship between “a body shape index (ABSI)” and body composition in obese patients with type 2 diabetes Gomez-Peralta, Fernando Abreu, Cristina Cruz-Bravo, Margarita Alcarria, Elvira Gutierrez-Buey, Gala Krakauer, Nir Y. Krakauer, Jesse C. Diabetol Metab Syndr Research BACKGROUND: Obesity is known to be related to the development of type 2 diabetes mellitus (T2D). The most commonly used anthropometric indicator (body mass index [BMI]) presents several limitations such as the lack of possibility to distinguish adipose tissue distribution. Thus, this study examines the suitability of a body shape index (ABSI) for prediction of body composition and sarcopenic obesity in obese or overweight T2D subjects. METHODS: Cross-sectional study in 199 overweight/obese T2D adults. Anthropometric (BMI, ABSI) and body composition (fat mass [FM], fat-free mass [FFM], fat mass index [FMI] and fat-free mass index, and the ratio FM/FFM as an index of sarcopenic obesity) data was collected, as well as metabolic parameters (glycated haemoglobin [HbA(1c)], mean blood glucose, fasting plasma glucose [FPG], high-density-lipoprotein cholesterol [HDL], low-density-lipoprotein cholesterol, total cholesterol, and triglycerides [TG] levels; the ratio TG/HDL was also calculated as a surrogate marker for insulin resistance). RESULTS: ABSI was significantly associated with age and waist circumference. It showed a statistically significant correlation with BMI exclusively in women. Regarding body composition, in men, ABSI was associated with FM (%), while in women it was associated with both FM and FFM. Both males and females groups with high ABSI scores were significantly older (men: 59.3 ± 10.8 vs 54.6 ± 10.1, p ≤ 0.05; women: 65.1 ± 9.8 vs 58.1 ± 13.3, p ≤ 0.005) and showed lower FFM values (men: 62.3 ± 9.0 vs 66.2 ± 9.3, p ≤ 0.05; women: 48.7 ± 5.6 vs 54.5 ± 8.9, p ≤ 0.001) compared with low-ABSI groups. Multiple linear regression revealed that ABSI independently predict FMI and the FM/FFM ratio in women. Sarcopenic obesity was identified in 70 (36.5%) individuals according to the FM/FFM ratio. The AUROC of ABSI was 63.1% (95% CI 54.6–71.6%; p = 0.003) and an ABSI value of 0.083 m(11/6) kg(−2/3) was the optimal threshold in discriminating patients with sarcopenic obesity (sensitivity: 48%, specificity: 73%). Moreover, a significant association between ABSI and FPG was found in men. CONCLUSIONS: ABSI could be useful to identify visceral and sarcopenic obesity in overweight/obese adults with T2D, adding some relevant clinical information to traditional anthropometric measures. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13098-018-0323-8) contains supplementary material, which is available to authorized users. BioMed Central 2018-03-20 /pmc/articles/PMC5859756/ /pubmed/29568333 http://dx.doi.org/10.1186/s13098-018-0323-8 Text en © The Author(s) 2018 Open AccessThis 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
Gomez-Peralta, Fernando
Abreu, Cristina
Cruz-Bravo, Margarita
Alcarria, Elvira
Gutierrez-Buey, Gala
Krakauer, Nir Y.
Krakauer, Jesse C.
Relationship between “a body shape index (ABSI)” and body composition in obese patients with type 2 diabetes
title Relationship between “a body shape index (ABSI)” and body composition in obese patients with type 2 diabetes
title_full Relationship between “a body shape index (ABSI)” and body composition in obese patients with type 2 diabetes
title_fullStr Relationship between “a body shape index (ABSI)” and body composition in obese patients with type 2 diabetes
title_full_unstemmed Relationship between “a body shape index (ABSI)” and body composition in obese patients with type 2 diabetes
title_short Relationship between “a body shape index (ABSI)” and body composition in obese patients with type 2 diabetes
title_sort relationship between “a body shape index (absi)” and body composition in obese patients with type 2 diabetes
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5859756/
https://www.ncbi.nlm.nih.gov/pubmed/29568333
http://dx.doi.org/10.1186/s13098-018-0323-8
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