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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Sociedade Brasileira de Endocrinologia e Metabologia
2023
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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. |
format | Online Article Text |
id | pubmed-10247250 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Sociedade Brasileira de Endocrinologia e Metabologia |
record_format | MEDLINE/PubMed |
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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