Cargando…

Nonlinear association between changes in fasting plasma glucose and the incidence of diabetes in a nondiabetic Chinese cohort

BACKGROUND: Limited data show that changes in fasting plasma glucose (FPG changes) are related to the incidence of type 2 diabetes (T2D). We aimed to correlate FPG changes with incident diabetes and evaluate FPG changes as a marker to screen participants at high risk of T2D in China. METHODS: A tota...

Descripción completa

Detalles Bibliográficos
Autores principales: Huang, Chenghu, Ren, Chenhong, Xuan, Xiuping, Luo, Yi, Peng, Caibi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9327176/
https://www.ncbi.nlm.nih.gov/pubmed/35897092
http://dx.doi.org/10.1186/s12902-022-01094-4
_version_ 1784757451032100864
author Huang, Chenghu
Ren, Chenhong
Xuan, Xiuping
Luo, Yi
Peng, Caibi
author_facet Huang, Chenghu
Ren, Chenhong
Xuan, Xiuping
Luo, Yi
Peng, Caibi
author_sort Huang, Chenghu
collection PubMed
description BACKGROUND: Limited data show that changes in fasting plasma glucose (FPG changes) are related to the incidence of type 2 diabetes (T2D). We aimed to correlate FPG changes with incident diabetes and evaluate FPG changes as a marker to screen participants at high risk of T2D in China. METHODS: A total of 116,816 individuals were followed during a median follow-up of 3.10 years by secondary analysis in a nondiabetic Chinese cohort. The turning points were derived from a receiver operating characteristic curve. Hazard ratios (HRs) were evaluated by Cox proportional hazards models. RESULTS: A total of 2669 cases of T2D were identified (788 women and 1881 men). The age-standardized incidence of diabetes was 12.87 per 1000 person-years (women: 11.04; men: 14.69). A nonlinear relationship between FPG changes and incident diabetes is shown by the fitting curves. The curves were categorized into three stages by two turning points (-0.04 and 1.25 mmol/L) and conformed to the hook-like pattern: an initial decrease (stage-1), then a transient sharp elevation (stage-2), followed by a slow increase (stage-3). HRs per SD of FPG changes on incident diabetes varied with stage: stage-1: 0.16 (0.12, 0.23), stage-2: 0.20 (0.15, 0.28) and stage-3: 0.22 (0.16, 0.31). Compared with stage-1, the HR in stage-3 was significantly higher at 28.05 (23.99, 32.79), while the increase in stage-2 was slight at 2.16 (1.79, 2.61), and the HR in stage-3 rose to 30.09 (25.02, 36.19). CONCLUSIONS: FPG changes had a strong correlation with the incidence of T2D and was a steady indicator that was used to distinguish the participants at high risk of diabetes. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12902-022-01094-4.
format Online
Article
Text
id pubmed-9327176
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-93271762022-07-28 Nonlinear association between changes in fasting plasma glucose and the incidence of diabetes in a nondiabetic Chinese cohort Huang, Chenghu Ren, Chenhong Xuan, Xiuping Luo, Yi Peng, Caibi BMC Endocr Disord Research Article BACKGROUND: Limited data show that changes in fasting plasma glucose (FPG changes) are related to the incidence of type 2 diabetes (T2D). We aimed to correlate FPG changes with incident diabetes and evaluate FPG changes as a marker to screen participants at high risk of T2D in China. METHODS: A total of 116,816 individuals were followed during a median follow-up of 3.10 years by secondary analysis in a nondiabetic Chinese cohort. The turning points were derived from a receiver operating characteristic curve. Hazard ratios (HRs) were evaluated by Cox proportional hazards models. RESULTS: A total of 2669 cases of T2D were identified (788 women and 1881 men). The age-standardized incidence of diabetes was 12.87 per 1000 person-years (women: 11.04; men: 14.69). A nonlinear relationship between FPG changes and incident diabetes is shown by the fitting curves. The curves were categorized into three stages by two turning points (-0.04 and 1.25 mmol/L) and conformed to the hook-like pattern: an initial decrease (stage-1), then a transient sharp elevation (stage-2), followed by a slow increase (stage-3). HRs per SD of FPG changes on incident diabetes varied with stage: stage-1: 0.16 (0.12, 0.23), stage-2: 0.20 (0.15, 0.28) and stage-3: 0.22 (0.16, 0.31). Compared with stage-1, the HR in stage-3 was significantly higher at 28.05 (23.99, 32.79), while the increase in stage-2 was slight at 2.16 (1.79, 2.61), and the HR in stage-3 rose to 30.09 (25.02, 36.19). CONCLUSIONS: FPG changes had a strong correlation with the incidence of T2D and was a steady indicator that was used to distinguish the participants at high risk of diabetes. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12902-022-01094-4. BioMed Central 2022-07-27 /pmc/articles/PMC9327176/ /pubmed/35897092 http://dx.doi.org/10.1186/s12902-022-01094-4 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 Article
Huang, Chenghu
Ren, Chenhong
Xuan, Xiuping
Luo, Yi
Peng, Caibi
Nonlinear association between changes in fasting plasma glucose and the incidence of diabetes in a nondiabetic Chinese cohort
title Nonlinear association between changes in fasting plasma glucose and the incidence of diabetes in a nondiabetic Chinese cohort
title_full Nonlinear association between changes in fasting plasma glucose and the incidence of diabetes in a nondiabetic Chinese cohort
title_fullStr Nonlinear association between changes in fasting plasma glucose and the incidence of diabetes in a nondiabetic Chinese cohort
title_full_unstemmed Nonlinear association between changes in fasting plasma glucose and the incidence of diabetes in a nondiabetic Chinese cohort
title_short Nonlinear association between changes in fasting plasma glucose and the incidence of diabetes in a nondiabetic Chinese cohort
title_sort nonlinear association between changes in fasting plasma glucose and the incidence of diabetes in a nondiabetic chinese cohort
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9327176/
https://www.ncbi.nlm.nih.gov/pubmed/35897092
http://dx.doi.org/10.1186/s12902-022-01094-4
work_keys_str_mv AT huangchenghu nonlinearassociationbetweenchangesinfastingplasmaglucoseandtheincidenceofdiabetesinanondiabeticchinesecohort
AT renchenhong nonlinearassociationbetweenchangesinfastingplasmaglucoseandtheincidenceofdiabetesinanondiabeticchinesecohort
AT xuanxiuping nonlinearassociationbetweenchangesinfastingplasmaglucoseandtheincidenceofdiabetesinanondiabeticchinesecohort
AT luoyi nonlinearassociationbetweenchangesinfastingplasmaglucoseandtheincidenceofdiabetesinanondiabeticchinesecohort
AT pengcaibi nonlinearassociationbetweenchangesinfastingplasmaglucoseandtheincidenceofdiabetesinanondiabeticchinesecohort