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Body adiposity markers and insulin resistance in patients with type 1 diabetes

OBJECTIVES: Body composition changes are associated with adverse effects such as increased insulin resistance (IR) in individuals with diabetes mellitus. This study aims to evaluate the association between different body adiposity markers and IR in adults with type 1 diabetes (T1D). SUBJECTS AND MET...

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Autores principales: Marques, Camila Lemos, Beretta, Mileni Vanti, Prates, Raquel Eccel, de Almeida, Jussara Carnevale, Rodrigues, Ticiana da Costa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Sociedade Brasileira de Endocrinologia e Metabologia 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10247250/
https://www.ncbi.nlm.nih.gov/pubmed/36748935
http://dx.doi.org/10.20945/2359-3997000000599
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author Marques, Camila Lemos
Beretta, Mileni Vanti
Prates, Raquel Eccel
de Almeida, Jussara Carnevale
Rodrigues, Ticiana da Costa
author_facet Marques, Camila Lemos
Beretta, Mileni Vanti
Prates, Raquel Eccel
de Almeida, Jussara Carnevale
Rodrigues, Ticiana da Costa
author_sort Marques, Camila Lemos
collection PubMed
description OBJECTIVES: Body composition changes are associated with adverse effects such as increased insulin resistance (IR) in individuals with diabetes mellitus. This study aims to evaluate the association between different body adiposity markers and IR in adults with type 1 diabetes (T1D). SUBJECTS AND METHODS: The cross-sectional study included outpatient adults with T1D from a university public hospital in southern Brazil. The body adiposity markers studied were waist circumference (WC), waist-height ratio (WHtR), body mass index (BMI), conicity index (CI), lipid accumulation product (LAP) and body adiposity index (BAI). IR was calculated using an Estimated Glucose Disposal Rate (EGDR) equation (analyzed in tertiles), considering an inverse relation between EGDR and IR. Poisson regression models were used to estimate the odds ratio (OR) and 95% CIs of association of adiposity markers with IR. RESULTS: A total of 128 patients were enrolled (51% women), with a median EGDR of 7.2 (4.4-8.7) mg.kg(−1).min(−1). EGDR was negatively correlated with WC (r = −0.36, p < 0.01), WHtR (r = −0.39, p < 0.01), CI (r = −0.44, p < 0.01), LAP (r = −0.41, p < 0.01) and BMI (r = −0.24, p < 0.01). After regression analyses, WC (OR = 2.07; CIs: 1.12-3.337; p = 0.003), WHtR (OR = 2.77; CIs: 1.59-4.79; p < 0.001), CI (OR = 2.59; CIs: 1.43-4.66; p = 0.002), LAP (OR = 2.27; CIs: 1.25-4.11; p = 0.007) and BMI (OR = 1.78; CIs: 1.09-2.91; p = 0.019) remained associated with IR. CONCLUSIONS: The authors suggest using the studied adiposity markers as a routine since they were shown to be suitable parameters in association with IR.
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spelling pubmed-102472502023-06-08 Body adiposity markers and insulin resistance in patients with type 1 diabetes Marques, Camila Lemos Beretta, Mileni Vanti Prates, Raquel Eccel de Almeida, Jussara Carnevale Rodrigues, Ticiana da Costa Arch Endocrinol Metab Original Article OBJECTIVES: Body composition changes are associated with adverse effects such as increased insulin resistance (IR) in individuals with diabetes mellitus. This study aims to evaluate the association between different body adiposity markers and IR in adults with type 1 diabetes (T1D). SUBJECTS AND METHODS: The cross-sectional study included outpatient adults with T1D from a university public hospital in southern Brazil. The body adiposity markers studied were waist circumference (WC), waist-height ratio (WHtR), body mass index (BMI), conicity index (CI), lipid accumulation product (LAP) and body adiposity index (BAI). IR was calculated using an Estimated Glucose Disposal Rate (EGDR) equation (analyzed in tertiles), considering an inverse relation between EGDR and IR. Poisson regression models were used to estimate the odds ratio (OR) and 95% CIs of association of adiposity markers with IR. RESULTS: A total of 128 patients were enrolled (51% women), with a median EGDR of 7.2 (4.4-8.7) mg.kg(−1).min(−1). EGDR was negatively correlated with WC (r = −0.36, p < 0.01), WHtR (r = −0.39, p < 0.01), CI (r = −0.44, p < 0.01), LAP (r = −0.41, p < 0.01) and BMI (r = −0.24, p < 0.01). After regression analyses, WC (OR = 2.07; CIs: 1.12-3.337; p = 0.003), WHtR (OR = 2.77; CIs: 1.59-4.79; p < 0.001), CI (OR = 2.59; CIs: 1.43-4.66; p = 0.002), LAP (OR = 2.27; CIs: 1.25-4.11; p = 0.007) and BMI (OR = 1.78; CIs: 1.09-2.91; p = 0.019) remained associated with IR. CONCLUSIONS: The authors suggest using the studied adiposity markers as a routine since they were shown to be suitable parameters in association with IR. Sociedade Brasileira de Endocrinologia e Metabologia 2023-02-07 /pmc/articles/PMC10247250/ /pubmed/36748935 http://dx.doi.org/10.20945/2359-3997000000599 Text en https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Marques, Camila Lemos
Beretta, Mileni Vanti
Prates, Raquel Eccel
de Almeida, Jussara Carnevale
Rodrigues, Ticiana da Costa
Body adiposity markers and insulin resistance in patients with type 1 diabetes
title Body adiposity markers and insulin resistance in patients with type 1 diabetes
title_full Body adiposity markers and insulin resistance in patients with type 1 diabetes
title_fullStr Body adiposity markers and insulin resistance in patients with type 1 diabetes
title_full_unstemmed Body adiposity markers and insulin resistance in patients with type 1 diabetes
title_short Body adiposity markers and insulin resistance in patients with type 1 diabetes
title_sort body adiposity markers and insulin resistance in patients with type 1 diabetes
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10247250/
https://www.ncbi.nlm.nih.gov/pubmed/36748935
http://dx.doi.org/10.20945/2359-3997000000599
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