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Type 2 diabetes is more predictable in women than men by multiple anthropometric and biochemical measures
Men and women are sexually dimorphic but whether common anthropometric and biochemical parameters predict type 2 diabetes (T2D) in different ways has not been well studied. Here we recruit 1579 participants in Hainan Province, China, and group them by sex. We compared the prediction power of common...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7960723/ https://www.ncbi.nlm.nih.gov/pubmed/33723361 http://dx.doi.org/10.1038/s41598-021-85581-z |
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author | Li, Tangying Quan, Huibiao Zhang, Huachuan Lin, Leweihua Lin, Lu Ou, Qianying Chen, Kaining |
author_facet | Li, Tangying Quan, Huibiao Zhang, Huachuan Lin, Leweihua Lin, Lu Ou, Qianying Chen, Kaining |
author_sort | Li, Tangying |
collection | PubMed |
description | Men and women are sexually dimorphic but whether common anthropometric and biochemical parameters predict type 2 diabetes (T2D) in different ways has not been well studied. Here we recruit 1579 participants in Hainan Province, China, and group them by sex. We compared the prediction power of common parameters of T2D in two sexes by association, regression, and Receiver Operating Characteristic (ROC) analysis. HbA1c is associated with FPG stronger in women than in men and the regression coefficient is higher, consistent with higher prediction power for T2D. Age, waist circumference, BMI, systolic and diastolic blood pressure, triglyceride levels, total cholesterol, LDL, HDL, fasting insulin, and proinsulin levels all predict T2D better in women. Except for diastolic blood pressure, all parameters associate or tend to associate with FPG stronger in women than in men. Except for diastolic blood pressure and fasting proinsulin, all parameters associate or tend to associate with HbA1c stronger in women than in men. Except for fasting proinsulin and HDL, the regression coefficients of all parameters with FPG and HbA1c were higher in women than in men. Together, by the above anthropometric and biochemical measures, T2D is more readily predicted in women than men, suggesting the importance of sex-based subgroup analysis in T2D research. |
format | Online Article Text |
id | pubmed-7960723 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-79607232021-03-19 Type 2 diabetes is more predictable in women than men by multiple anthropometric and biochemical measures Li, Tangying Quan, Huibiao Zhang, Huachuan Lin, Leweihua Lin, Lu Ou, Qianying Chen, Kaining Sci Rep Article Men and women are sexually dimorphic but whether common anthropometric and biochemical parameters predict type 2 diabetes (T2D) in different ways has not been well studied. Here we recruit 1579 participants in Hainan Province, China, and group them by sex. We compared the prediction power of common parameters of T2D in two sexes by association, regression, and Receiver Operating Characteristic (ROC) analysis. HbA1c is associated with FPG stronger in women than in men and the regression coefficient is higher, consistent with higher prediction power for T2D. Age, waist circumference, BMI, systolic and diastolic blood pressure, triglyceride levels, total cholesterol, LDL, HDL, fasting insulin, and proinsulin levels all predict T2D better in women. Except for diastolic blood pressure, all parameters associate or tend to associate with FPG stronger in women than in men. Except for diastolic blood pressure and fasting proinsulin, all parameters associate or tend to associate with HbA1c stronger in women than in men. Except for fasting proinsulin and HDL, the regression coefficients of all parameters with FPG and HbA1c were higher in women than in men. Together, by the above anthropometric and biochemical measures, T2D is more readily predicted in women than men, suggesting the importance of sex-based subgroup analysis in T2D research. Nature Publishing Group UK 2021-03-15 /pmc/articles/PMC7960723/ /pubmed/33723361 http://dx.doi.org/10.1038/s41598-021-85581-z Text en © The Author(s) 2021 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Li, Tangying Quan, Huibiao Zhang, Huachuan Lin, Leweihua Lin, Lu Ou, Qianying Chen, Kaining Type 2 diabetes is more predictable in women than men by multiple anthropometric and biochemical measures |
title | Type 2 diabetes is more predictable in women than men by multiple anthropometric and biochemical measures |
title_full | Type 2 diabetes is more predictable in women than men by multiple anthropometric and biochemical measures |
title_fullStr | Type 2 diabetes is more predictable in women than men by multiple anthropometric and biochemical measures |
title_full_unstemmed | Type 2 diabetes is more predictable in women than men by multiple anthropometric and biochemical measures |
title_short | Type 2 diabetes is more predictable in women than men by multiple anthropometric and biochemical measures |
title_sort | type 2 diabetes is more predictable in women than men by multiple anthropometric and biochemical measures |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7960723/ https://www.ncbi.nlm.nih.gov/pubmed/33723361 http://dx.doi.org/10.1038/s41598-021-85581-z |
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