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Assessment of adiposity distribution and its association with diabetes and insulin resistance: a population-based study

BACKGROUND: Rational measures in estimating adiposity distribution in diabetic patients has yet to be validated. This study aims to provide insight about the possible links between routinely available body adiposity parameters and the development of both diabetes and insulin resistance. METHODS: We...

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Autores principales: Sun, Kan, Lin, Diaozhu, Feng, Qiling, Li, Feng, Qi, Yiqin, Feng, Wanting, Yang, Chuan, Yan, Li, Ren, Meng, Liu, Dan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6598265/
https://www.ncbi.nlm.nih.gov/pubmed/31297161
http://dx.doi.org/10.1186/s13098-019-0450-x
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author Sun, Kan
Lin, Diaozhu
Feng, Qiling
Li, Feng
Qi, Yiqin
Feng, Wanting
Yang, Chuan
Yan, Li
Ren, Meng
Liu, Dan
author_facet Sun, Kan
Lin, Diaozhu
Feng, Qiling
Li, Feng
Qi, Yiqin
Feng, Wanting
Yang, Chuan
Yan, Li
Ren, Meng
Liu, Dan
author_sort Sun, Kan
collection PubMed
description BACKGROUND: Rational measures in estimating adiposity distribution in diabetic patients has yet to be validated. This study aims to provide insight about the possible links between routinely available body adiposity parameters and the development of both diabetes and insulin resistance. METHODS: We performed a population-based cross-sectional study in 9496 subjects aged 40 years or older. All of the body adiposity measures including body mass index (BMI), waist circumference (WC), waist-hip ratio (WHR), waist-height ratio (WHtR), visceral adiposity index (VAI), body adiposity index (BAI) and lipid accumulation product index (LAP) were separately evaluated according to standard measurement methods. Diabetes was diagnosed according to the American Diabetes Association 2010 criteria. RESULTS: All tested body adiposity measurements were significantly associated with fasting plasma glucose (FPG), oral glucose tolerance test (OGTT) 2 h glucose, HbA1c and fasting insulin. Compared with other adiposity phenotypes, LAP have shown the relatively strongest while BAI have shown the relatively weakest association with increased odds of both diabetes and insulin resistance across all logistic regression models. Additionally, LAP provided the best discrimination accuracy for diabetes [area under the curve (AUC): 0.658 95% confidence intervals (CI) 0.645–0.671] and insulin resistance (AUC: 0.781 95% CI 0.771–0.792) when compared with other body adiposity parameters. CONCLUSIONS: The LAP index seems to be a better indicator than other adiposity measures tested in the study to evaluate the association of visceral fat mass with diabetes and insulin resistance, which should be given more consideration in the clinical practice.
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spelling pubmed-65982652019-07-11 Assessment of adiposity distribution and its association with diabetes and insulin resistance: a population-based study Sun, Kan Lin, Diaozhu Feng, Qiling Li, Feng Qi, Yiqin Feng, Wanting Yang, Chuan Yan, Li Ren, Meng Liu, Dan Diabetol Metab Syndr Research BACKGROUND: Rational measures in estimating adiposity distribution in diabetic patients has yet to be validated. This study aims to provide insight about the possible links between routinely available body adiposity parameters and the development of both diabetes and insulin resistance. METHODS: We performed a population-based cross-sectional study in 9496 subjects aged 40 years or older. All of the body adiposity measures including body mass index (BMI), waist circumference (WC), waist-hip ratio (WHR), waist-height ratio (WHtR), visceral adiposity index (VAI), body adiposity index (BAI) and lipid accumulation product index (LAP) were separately evaluated according to standard measurement methods. Diabetes was diagnosed according to the American Diabetes Association 2010 criteria. RESULTS: All tested body adiposity measurements were significantly associated with fasting plasma glucose (FPG), oral glucose tolerance test (OGTT) 2 h glucose, HbA1c and fasting insulin. Compared with other adiposity phenotypes, LAP have shown the relatively strongest while BAI have shown the relatively weakest association with increased odds of both diabetes and insulin resistance across all logistic regression models. Additionally, LAP provided the best discrimination accuracy for diabetes [area under the curve (AUC): 0.658 95% confidence intervals (CI) 0.645–0.671] and insulin resistance (AUC: 0.781 95% CI 0.771–0.792) when compared with other body adiposity parameters. CONCLUSIONS: The LAP index seems to be a better indicator than other adiposity measures tested in the study to evaluate the association of visceral fat mass with diabetes and insulin resistance, which should be given more consideration in the clinical practice. BioMed Central 2019-06-27 /pmc/articles/PMC6598265/ /pubmed/31297161 http://dx.doi.org/10.1186/s13098-019-0450-x Text en © The Author(s) 2019 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
Sun, Kan
Lin, Diaozhu
Feng, Qiling
Li, Feng
Qi, Yiqin
Feng, Wanting
Yang, Chuan
Yan, Li
Ren, Meng
Liu, Dan
Assessment of adiposity distribution and its association with diabetes and insulin resistance: a population-based study
title Assessment of adiposity distribution and its association with diabetes and insulin resistance: a population-based study
title_full Assessment of adiposity distribution and its association with diabetes and insulin resistance: a population-based study
title_fullStr Assessment of adiposity distribution and its association with diabetes and insulin resistance: a population-based study
title_full_unstemmed Assessment of adiposity distribution and its association with diabetes and insulin resistance: a population-based study
title_short Assessment of adiposity distribution and its association with diabetes and insulin resistance: a population-based study
title_sort assessment of adiposity distribution and its association with diabetes and insulin resistance: a population-based study
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6598265/
https://www.ncbi.nlm.nih.gov/pubmed/31297161
http://dx.doi.org/10.1186/s13098-019-0450-x
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