A cross-sectional study of common comorbidity patterns in patients with type 2 diabetes mellitus

GAO Ning; SHENG Dan; TANG Shaoyan; WANG Minzhen

doi:10.16462/j.cnki.zhjbkz.2025.02.005

Volume 29 Issue 2

Feb. 2025

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GAO Ning, SHENG Dan, TANG Shaoyan, WANG Minzhen. A cross-sectional study of common comorbidity patterns in patients with type 2 diabetes mellitus[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2025, 29(2): 152-157. doi: 10.16462/j.cnki.zhjbkz.2025.02.005

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GAO Ning, SHENG Dan, TANG Shaoyan, WANG Minzhen. A cross-sectional study of common comorbidity patterns in patients with type 2 diabetes mellitus[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2025, 29(2): 152-157. doi: 10.16462/j.cnki.zhjbkz.2025.02.005

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A cross-sectional study of common comorbidity patterns in patients with type 2 diabetes mellitus

doi: 10.16462/j.cnki.zhjbkz.2025.02.005

Institution of Epidemiology and Health Statistics, School of Public Health, Lanzhou University, Lanzhou 730000, China

Funds:

Gansu Outstanding Youth Fund 23JRRA1019

Hebei Province Key Laboratory of Basic Medical Research of Diabetes Province Open Project KF2023-02

More Information

Corresponding author: WANG Minzhen, E-mail: wangmzh@lzu.edu.cn
Received Date: 2024-07-23
Rev Recd Date: 2024-11-18

Available Online: 2025-03-08

Publish Date: 2025-02-10

Abstract

Abstract

Objective To investigate the comorbidity conditions and patterns among patients with type 2 diabetes mellitus, and to provide data support for the management of comorbidities in these patients. Methods The participants of the present study included 3 592 patients with type 2 diabetes from the Jinchang cohort, based on baseline surveys conducted from June 2011 to December 2013. By combining data from epidemiological investigations, physical examinations, and clinical biochemical tests, our study included 18 chronic diseases with prevalence rates greater than 5%, and the comorbidity status of patients with type 2 diabetes were analyzed. The Apriori algorithm was used to explore common comorbidity patterns, and the results were visualized through network diagrams, grouped matrix plots, and parallel coordinate plots. Results The comorbidity rate among the Jinchang cohort patients with type 2 diabetes was as high as 98.58% (3 541/3 592), primarily involving 2-4 comorbidities. The top three individual diseases were hyperlipidemia (78.29%), hypertension (63.20%), and fatty liver (46.97%). The most common binary, ternary, and quaternary comorbidity patterns were hypertension and hyperlipidemia, followed by hypertension and hyperlipidemia and fatty liver, and finally arrhythmia and fatty liver and hyperlipidemia and hypertension, respectively. Differences in comorbidity patterns were observed across different genders and age groups. Conclusions Comorbidity is a common phenomenon among patients with type 2 diabetes in the Jinchang cohort, with hyperlipidemia, hypertension, and fatty liver being the core diseases in these patterns. There should be an emphasis on screening and prevention of these three chronic diseases among patients with type 2 diabetes.
- Type 2 diabetes mellitus,
- Chronic disease,
- Comorbidity pattern,
- Cross-sectional study

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References(21)

References

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