Role and Risk Factors of Glycosylated Hemoglobin Levels in Early Disease Screening

Guanqun Chao1, Yue Zhu1, Liying Chen1

  • 1Department of General Practice, Sir Run Run Shaw Hospital, Zhejiang University, China.

Insights

Glycosylated hemoglobin (HbA1c) levels are higher in men and individuals with diabetes or fatty liver. Key risk factors for elevated HbA1c include age, male gender, fatty liver, and certain metabolic indicators.

Area of Science:

  • Endocrinology and Metabolism
  • Clinical Biochemistry
  • Public Health

Background:

  • Glycosylated hemoglobin (HbA1c) is a critical marker for glycemic control and diabetes management.
  • Understanding factors influencing HbA1c is essential for early disease detection and intervention.
  • Large-scale database analysis provides robust insights into complex health correlations.

Purpose of the Study:

  • To investigate the correlations between HbA1c, gender, age, fatty liver, and various biochemical indicators.
  • To identify significant risk factors associated with elevated HbA1c levels.
  • To establish a foundation for managing HbA1c-related chronic diseases.

Main Methods:

  • Analysis of a large dataset from 23,933 individuals examined between July 2018 and June 2019.
  • Utilized R software for statistical analysis, including t-tests, Mann-Whitney U tests, chi-square tests, and logistic regression.
  • Data collection involved medical history, laboratory tests, and B-ultrasound examinations.

Main Results:

  • Men, individuals with diabetes, and those with fatty liver exhibited significantly higher HbA1c levels.
  • In non-diabetic individuals, HbA1c increased with weight gain.
  • Identified risk factors: age, male gender, fatty liver, waist circumference, SBP, TG, BUN, FT4, RBC. Protective factors: HDL-C, UA, Cr, FT3, hemoglobin.

Conclusions:

  • HbA1c levels are influenced by blood glucose, age, weight, gender, fatty liver, blood lipids, and uric acid.
  • HbA1c correlates with numerous metabolic indicators.
  • HbA1c shows potential as an early detection marker for chronic diseases.
Abstract

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