1. Association Between Hemoglobin Glycation Index and Metabolic Syndrome in Middle-Aged and Older People
- Author
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Xie SS, Luo XT, Dong MH, Wang Q, Li J, and Wu QF
- Subjects
hemoglobin glycation index ,metabolic syndrome ,cross-sectional study ,Specialties of internal medicine ,RC581-951 - Abstract
Si-si Xie,1 Xiao-ting Luo,2 Ming-hua Dong,3 Qi Wang,3 Jian Li,4 Qing-feng Wu3 1School of Graduate, Gannan Medical University, Ganzhou, Jiangxi, People’s Republic of China; 2School of General Medicine, Gannan Medical University, Ganzhou, Jiangxi, People’s Republic of China; 3School of Public Health and Health Management, Gannan Medical University, Ganzhou, Jiangxi, People’s Republic of China; 4School of Basic Medical, Gannan Medical University, Ganzhou, Jiangxi, People’s Republic of ChinaCorrespondence: Qing-feng Wu, Gannan Medical University, Rongjiang New District College Park, Ganzhou, Jiangxi, 341000, People’s Republic of China, Tel/Fax +86 18970786090, Email wuqf0920@163.comPurpose: Hemoglobin glycation index (HGI) is used to describe the difference between estimated and measured glycated hemoglobin A1c (HbA1c). The present study aimed to investigate the association between metabolic syndrome (MetS) and HGI in middle-aged and elderly Chinese.Patients and Methods: In this cross-sectional study, a multi-stage random sampling method was used to select objects from the permanent residents aged 35 years and above living in Ganzhou, Jiangxi, China. The demographic information, history of illness, physical examination, and blood biochemistry data were obtained. HGI was calculated from fasting plasma glucose (FPG) and HbA1c (HGI = measured HbA1c value - predicted HbA1c value). All participants were divided into low HGI and high HGI groups using the median HGI as a cut-off value. Univariate analysis was used to detect the influencing factors of HGI, and Logistic regression analysis was adopted to analyze the relationship between significant variables found in univariate analysis, MetS, or MetS’s components and HGI.Results: A total of 1826 participants were enrolled in the study, and the prevalence of MetS was 27.4%. There were 908 in the low HGI group and 918 in the high HGI group, and the prevalence of MetS was 23.7% and 31.0%, respectively. Logistic regression analysis showed that the prevalence of MetS in the high HGI group was higher than that in the low HGI group (OR=1.384, 95% CI:1.110~1.725), further analysis showed that HGI was related with abdominal obesity (OR=1.287, 95% CI:1.061~1.561), hypertension (OR=1.349, 95% CI:1.115~1.632), and hypercholesterolemia (OR=1.376, 95% CI:1.124~1.684) (all P < 0.05). After adjusting for age, sex, and serum uric acid (UA), the relationship still existed.Conclusion: This study found that HGI is directly associated with MetS.Keywords: hemoglobin glycation index, metabolic syndrome, cross-sectional study
- Published
- 2023