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Relationship between BMI and risk of impaired glucose tolerance and impaired fasting glucose in Chinese adults: a prospective study
BACKGROUND: Current studies in most Western countries have largely focused on body mass index (BMI) as an important risk factor for impaired glucose tolerance (IGT) and impaired fasting glucose (IFG), which have different pathophysiological bases. In people with obesity, the prevalence of IGT is hig...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9811686/ https://www.ncbi.nlm.nih.gov/pubmed/36597050 http://dx.doi.org/10.1186/s12889-022-14912-0 |
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author | Zhang, Xin Yue, Yankun Liu, Shaobo Cong, Xiangfeng Wang, Wenjuan Li, Jianhong |
author_facet | Zhang, Xin Yue, Yankun Liu, Shaobo Cong, Xiangfeng Wang, Wenjuan Li, Jianhong |
author_sort | Zhang, Xin |
collection | PubMed |
description | BACKGROUND: Current studies in most Western countries have largely focused on body mass index (BMI) as an important risk factor for impaired glucose tolerance (IGT) and impaired fasting glucose (IFG), which have different pathophysiological bases. In people with obesity, the prevalence of IGT is higher and the prevalence of IFG is lower. The prevalence of IGT in the Asian population is higher than that in the white population, and the obesity rate in China is still increasing. However, few cohort studies explore the relationship between BMI and the incidence of IGT and IFG in China. We aimed to explore the relationship between BMI and the risk of IGT and IFG in Chinese adults and analyze the differences between them. METHODS: The baseline data were obtained from the 2010 China Chronic Disease and Risk Factor Surveillance, of which 20 surveillance sites were followed up from 2016 to 2017. Finally, in this study, a total of 5,578 studies were grouped into BMI categories of underweight (BMI < 18.5 kg/m(2)), normal weight (18.5–23.9 kg/m(2)), overweight (24.0–27.9 kg/m(2)), and obesity (≥ 28.0 kg/m(2)). We used the unconditional logistic regression model to analyze the relationship between BMI and the risk of IGT and IFG. RESULTS: During an average follow-up of 6.4 years, 562 developed IGT and 257 developed IFG. After age, gender, urban and rural areas, physical activity, family history of diabetes, hypertension, abdominal obesity, dyslipidemia, and other factors were adjusted, overweight increased the risk of IGT by 35% [odds ratio (OR) 1.35, 95% confidence interval (CI) 1.08–1.70], and obesity increased the risk of IGT by 77% (OR 1.77, 95% CI 1.27–1.47). After the factors consistent with the above were adjusted, only obesity increased the risk of IFG by 122% (OR 2.22, 95% CI 1.39–3.54). CONCLUSIONS: In China, obesity is an important risk factor for IGT and IFG, and the risk of IGT increases during the overweight stage. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-022-14912-0. |
format | Online Article Text |
id | pubmed-9811686 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-98116862023-01-05 Relationship between BMI and risk of impaired glucose tolerance and impaired fasting glucose in Chinese adults: a prospective study Zhang, Xin Yue, Yankun Liu, Shaobo Cong, Xiangfeng Wang, Wenjuan Li, Jianhong BMC Public Health Research BACKGROUND: Current studies in most Western countries have largely focused on body mass index (BMI) as an important risk factor for impaired glucose tolerance (IGT) and impaired fasting glucose (IFG), which have different pathophysiological bases. In people with obesity, the prevalence of IGT is higher and the prevalence of IFG is lower. The prevalence of IGT in the Asian population is higher than that in the white population, and the obesity rate in China is still increasing. However, few cohort studies explore the relationship between BMI and the incidence of IGT and IFG in China. We aimed to explore the relationship between BMI and the risk of IGT and IFG in Chinese adults and analyze the differences between them. METHODS: The baseline data were obtained from the 2010 China Chronic Disease and Risk Factor Surveillance, of which 20 surveillance sites were followed up from 2016 to 2017. Finally, in this study, a total of 5,578 studies were grouped into BMI categories of underweight (BMI < 18.5 kg/m(2)), normal weight (18.5–23.9 kg/m(2)), overweight (24.0–27.9 kg/m(2)), and obesity (≥ 28.0 kg/m(2)). We used the unconditional logistic regression model to analyze the relationship between BMI and the risk of IGT and IFG. RESULTS: During an average follow-up of 6.4 years, 562 developed IGT and 257 developed IFG. After age, gender, urban and rural areas, physical activity, family history of diabetes, hypertension, abdominal obesity, dyslipidemia, and other factors were adjusted, overweight increased the risk of IGT by 35% [odds ratio (OR) 1.35, 95% confidence interval (CI) 1.08–1.70], and obesity increased the risk of IGT by 77% (OR 1.77, 95% CI 1.27–1.47). After the factors consistent with the above were adjusted, only obesity increased the risk of IFG by 122% (OR 2.22, 95% CI 1.39–3.54). CONCLUSIONS: In China, obesity is an important risk factor for IGT and IFG, and the risk of IGT increases during the overweight stage. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-022-14912-0. BioMed Central 2023-01-03 /pmc/articles/PMC9811686/ /pubmed/36597050 http://dx.doi.org/10.1186/s12889-022-14912-0 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Zhang, Xin Yue, Yankun Liu, Shaobo Cong, Xiangfeng Wang, Wenjuan Li, Jianhong Relationship between BMI and risk of impaired glucose tolerance and impaired fasting glucose in Chinese adults: a prospective study |
title | Relationship between BMI and risk of impaired glucose tolerance and impaired fasting glucose in Chinese adults: a prospective study |
title_full | Relationship between BMI and risk of impaired glucose tolerance and impaired fasting glucose in Chinese adults: a prospective study |
title_fullStr | Relationship between BMI and risk of impaired glucose tolerance and impaired fasting glucose in Chinese adults: a prospective study |
title_full_unstemmed | Relationship between BMI and risk of impaired glucose tolerance and impaired fasting glucose in Chinese adults: a prospective study |
title_short | Relationship between BMI and risk of impaired glucose tolerance and impaired fasting glucose in Chinese adults: a prospective study |
title_sort | relationship between bmi and risk of impaired glucose tolerance and impaired fasting glucose in chinese adults: a prospective study |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9811686/ https://www.ncbi.nlm.nih.gov/pubmed/36597050 http://dx.doi.org/10.1186/s12889-022-14912-0 |
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