Prevalence and Associated Factors of Diabetes Mellitus Among Individuals Aged 18 Years and Above in Xiaoshan District, China, 2018: a Community-based Cross-sectional Study

Overview

Journal BMJ Open

Specialty General Medicine

Date 2022 Mar 17

PMID 35296469

Authors

Yurong Li

Yuanyuan Jiang

Junying Lin

Dongfei Wang

Chunli Wang

Fenjuan Wang

Affiliations

Soon will be listed here.

Abstract

Objective: With the rapid development of the Chinese economy, Xiaoshan District, Zhejiang Province has experienced urbanisation, population ageing and significant lifestyle changes, so diabetes mellitus (DM) has attracted more attention. This study aimed to evaluate the prevalence of DM and its risk factors among individuals aged 18 years and above in the district.

Study Design And Methods: A community-based cross-sectional study was carried out in Xiaoshan, China from 1 March to 31 August 2018. A multistage sampling method was used. Sociodemographic and behavioural characteristics were collected using a combination of centralised surveys and household surveys. Anthropometric parameters were measured with standardised techniques and calibrated equipment. Venous blood samples were obtained after at least 8 hours of fasting to determine the level of fasting blood glucose (FBG) and blood lipids. A standard 2-hour 75 g oral glucose tolerance test was also given if 6.1 mmol/L≤FBG<7.0 mmol/L. Univariate and multivariate logistic regression analyses were used to assess the associated factors of DM.

Results: The overall prevalence of DM was 12.47%, and the proportion of previously undiagnosed DM (UDM) was 48.66%. The prevalence of pre-diabetes was 10.92%. Age, family history of DM (FHDM), obesity, abdominal obesity, systolic blood pressure (SBP), triglycerides (TG) and high-density lipoprotein cholesterol (HDL-C) were significantly associated with DM.

Conclusions: This study found a high prevalence of DM and pre-diabetes, especially a high prevalence of UDM among adults. The associated risk factors identified for DM were age, FHDM, obesity, abdominal obesity, SBP, TG and HDL-C.

Citing Articles

Diabetes in China: epidemiology, pathophysiology and multi-omics.

Jia W, Chan J, Wong T, Fisher E Nat Metab. 2025; 7(1):16-34.

PMID: 39809974 DOI: 10.1038/s42255-024-01190-w.

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