Hemoglobin glycation index and all-cause mortality in adults: insights from a decade-long prospective cohort study

BackgroundThe hemoglobin glycation index (HGI), an indicator of individual differences in glucose metabolism. This study undertakes a detailed 10-year cohort analysis to investigate the potential association between HGI and all-cause mortality in a Chinese adult population.MethodsBaseline data encom...

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Main Authors: Yue-Yang Zhang, Wen-Yan Li, Qin Wan
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-05-01
Series:Frontiers in Endocrinology
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Online Access:https://www.frontiersin.org/articles/10.3389/fendo.2025.1586309/full
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author Yue-Yang Zhang
Yue-Yang Zhang
Yue-Yang Zhang
Yue-Yang Zhang
Yue-Yang Zhang
Wen-Yan Li
Wen-Yan Li
Wen-Yan Li
Wen-Yan Li
Wen-Yan Li
Wen-Yan Li
Qin Wan
Qin Wan
Qin Wan
Qin Wan
Qin Wan
author_facet Yue-Yang Zhang
Yue-Yang Zhang
Yue-Yang Zhang
Yue-Yang Zhang
Yue-Yang Zhang
Wen-Yan Li
Wen-Yan Li
Wen-Yan Li
Wen-Yan Li
Wen-Yan Li
Wen-Yan Li
Qin Wan
Qin Wan
Qin Wan
Qin Wan
Qin Wan
author_sort Yue-Yang Zhang
collection DOAJ
description BackgroundThe hemoglobin glycation index (HGI), an indicator of individual differences in glucose metabolism. This study undertakes a detailed 10-year cohort analysis to investigate the potential association between HGI and all-cause mortality in a Chinese adult population.MethodsBaseline data encompassing lifestyle and metabolic parameters were collected from 10,008 participants, with a subsequent 10-year follow-up. Following exclusions based on predefined criteria, 9,084 individuals were included in the final analysis. Participants were categorized into quartiles based on their HGI values. A suite of statistical tools, including Kaplan-Meier survival analysis, Cox proportional hazards models, restricted cubic splines (RCS), threshold effect models, and subgroup analyses, was employed to investigate the association between HGI and all-cause mortality.ResultsDuring the 10-year follow-up period, a total of 514 all-cause mortality cases were recorded. Kaplan-Meier survival analysis identified the Q2 group as having the lowest mortality rate. Fully adjusted Cox proportional hazards models demonstrated significant associations, indicating higher all-cause mortality risks in participants with both extremely low and high HGI levels compared to the Q2 group. RCS analysis further illustrated a U-shaped relationship between HGI and all-cause mortality.ConclusionsIn the Chinese population, both markedly elevated and significantly reduced HGI levels are associated with adverse impacts on long-term survival.Core tipThe aim of this study was to assess the association of Hemoglobin Glycation Index(HGI) with all-cause mortality in non-type 2 diabetic patients based on a 10-year cohort study from China. After COX regression, restricted cubic spline analysis, and subgroup analyses, it was found that a significant increase or decrease in HGI adversely affected long-term survival.
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spelling doaj-art-22842df49ebf4addba7d8870930b0ed12025-08-20T03:22:19ZengFrontiers Media S.A.Frontiers in Endocrinology1664-23922025-05-011610.3389/fendo.2025.15863091586309Hemoglobin glycation index and all-cause mortality in adults: insights from a decade-long prospective cohort studyYue-Yang Zhang0Yue-Yang Zhang1Yue-Yang Zhang2Yue-Yang Zhang3Yue-Yang Zhang4Wen-Yan Li5Wen-Yan Li6Wen-Yan Li7Wen-Yan Li8Wen-Yan Li9Wen-Yan Li10Qin Wan11Qin Wan12Qin Wan13Qin Wan14Qin Wan15Department of Endocrinology and Metabolism, Affiliated Hospital of Southwest Medical University, Luzhou, ChinaMetabolic Vascular Disease Key Laboratory of Sichuan Province, Luzhou, ChinaSichuan Clinical Research Center for Diabetes and Metabolism, Luzhou, ChinaSichuan Clinical Research Center for Nephropathy, Luzhou, ChinaCardiovascular and Metabolic Diseases Key Laboratory of Luzhou, Luzhou, ChinaDepartment of Endocrinology and Metabolism, Affiliated Hospital of Southwest Medical University, Luzhou, ChinaMetabolic Vascular Disease Key Laboratory of Sichuan Province, Luzhou, ChinaSichuan Clinical Research Center for Diabetes and Metabolism, Luzhou, ChinaSichuan Clinical Research Center for Nephropathy, Luzhou, ChinaCardiovascular and Metabolic Diseases Key Laboratory of Luzhou, Luzhou, ChinaDepartment of Endocrinology and Metabolism, The First People's Hospital of Zigong, Zigong, ChinaDepartment of Endocrinology and Metabolism, Affiliated Hospital of Southwest Medical University, Luzhou, ChinaMetabolic Vascular Disease Key Laboratory of Sichuan Province, Luzhou, ChinaSichuan Clinical Research Center for Diabetes and Metabolism, Luzhou, ChinaSichuan Clinical Research Center for Nephropathy, Luzhou, ChinaCardiovascular and Metabolic Diseases Key Laboratory of Luzhou, Luzhou, ChinaBackgroundThe hemoglobin glycation index (HGI), an indicator of individual differences in glucose metabolism. This study undertakes a detailed 10-year cohort analysis to investigate the potential association between HGI and all-cause mortality in a Chinese adult population.MethodsBaseline data encompassing lifestyle and metabolic parameters were collected from 10,008 participants, with a subsequent 10-year follow-up. Following exclusions based on predefined criteria, 9,084 individuals were included in the final analysis. Participants were categorized into quartiles based on their HGI values. A suite of statistical tools, including Kaplan-Meier survival analysis, Cox proportional hazards models, restricted cubic splines (RCS), threshold effect models, and subgroup analyses, was employed to investigate the association between HGI and all-cause mortality.ResultsDuring the 10-year follow-up period, a total of 514 all-cause mortality cases were recorded. Kaplan-Meier survival analysis identified the Q2 group as having the lowest mortality rate. Fully adjusted Cox proportional hazards models demonstrated significant associations, indicating higher all-cause mortality risks in participants with both extremely low and high HGI levels compared to the Q2 group. RCS analysis further illustrated a U-shaped relationship between HGI and all-cause mortality.ConclusionsIn the Chinese population, both markedly elevated and significantly reduced HGI levels are associated with adverse impacts on long-term survival.Core tipThe aim of this study was to assess the association of Hemoglobin Glycation Index(HGI) with all-cause mortality in non-type 2 diabetic patients based on a 10-year cohort study from China. After COX regression, restricted cubic spline analysis, and subgroup analyses, it was found that a significant increase or decrease in HGI adversely affected long-term survival.https://www.frontiersin.org/articles/10.3389/fendo.2025.1586309/fullhemoglobin glycation indexall-cause mortalityprospective cohort studyU-shaped correlationrisk fcator
spellingShingle Yue-Yang Zhang
Yue-Yang Zhang
Yue-Yang Zhang
Yue-Yang Zhang
Yue-Yang Zhang
Wen-Yan Li
Wen-Yan Li
Wen-Yan Li
Wen-Yan Li
Wen-Yan Li
Wen-Yan Li
Qin Wan
Qin Wan
Qin Wan
Qin Wan
Qin Wan
Hemoglobin glycation index and all-cause mortality in adults: insights from a decade-long prospective cohort study
Frontiers in Endocrinology
hemoglobin glycation index
all-cause mortality
prospective cohort study
U-shaped correlation
risk fcator
title Hemoglobin glycation index and all-cause mortality in adults: insights from a decade-long prospective cohort study
title_full Hemoglobin glycation index and all-cause mortality in adults: insights from a decade-long prospective cohort study
title_fullStr Hemoglobin glycation index and all-cause mortality in adults: insights from a decade-long prospective cohort study
title_full_unstemmed Hemoglobin glycation index and all-cause mortality in adults: insights from a decade-long prospective cohort study
title_short Hemoglobin glycation index and all-cause mortality in adults: insights from a decade-long prospective cohort study
title_sort hemoglobin glycation index and all cause mortality in adults insights from a decade long prospective cohort study
topic hemoglobin glycation index
all-cause mortality
prospective cohort study
U-shaped correlation
risk fcator
url https://www.frontiersin.org/articles/10.3389/fendo.2025.1586309/full
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