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The Prevalence of Abnormal Glucose Metabolism and Its Correlates in the Zhuang Nationality, Nanning, Guangxi Province

Year: 2025

Type: article

Abstract: BACKGROUND: The prevalence of diabetes prevalence has surged in China, becoming a severe public health issue. However, data on abnormal glucose metabolism among ethnic minorities, particularly the Zhuang population, remains limited. This study aims to fill this gap by analyzing the prevalence and risk factors of glucose abnormalities in the Zhuang population. METHODS: In 2017, data were gathered from a sample of 1957 Zhuang adults, aged 18 and older, who underwent a comprehensive physical examination at the First Affiliated Hospital of Guangxi Medical University. Variables included demographic information, lifestyle habits, anthropometric measurements, and biochemical indicators. Abnormal glucose metabolism was diagnosed based on fasting blood glucose (GLU) and 2-h postprandial glucose (2hPG) levels. Statistical analysis was performed using SPSS 24.0. RESULTS: This study shows reveals a 37.52% prevalence of abnormal glucose metabolism among the Zhuang population in Nanning, with Type 2 diabetes mellitus (T2DM) and pre-diabetes (PDM) rates of 9.7% and 23.17%, respectively. Risk factors identified include age, high BMI, hypertension, dyslipidemia, and alcohol consumption. CONCLUSION: This study highlights that the prevalence of abnormal glucose metabolism is very high in Nanning, Guangxi. Targeted intervention measures, such as enhanced health education, should be implemented for high-risk populations to effectively implement diabetes prevention policies and interventions. TRIAL REGISTRATION: This study is not a clinical trial, so there is no clinical trial registry.

Source: Journal of Clinical Laboratory Analysis

DOI: 10.1002/jcla.70117

Authors: Qin Yuanyuan, Liao Lin, Chen Qingyun, Huang Yunhua, Lin Faquan

Institutions: Guangxi Medical University, First Affiliated Hospital of GuangXi Medical University

Language: English

Topic: Diabetes, Cardiovascular Risks, and Lipoproteins

Subfield: Endocrinology, Diabetes and Metabolism

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: gold

Estimated APC paid: $3,120