Evidence mapPaperPMID 41835803Full record

ArticleFrontiers in clinical diabetes and healthcare2026

Prevalence and associated factors of diabetic kidney disease among rural patients with type 2 diabetes mellitus in Guangxi, China: a cross-sectional study.

Yelan Huang, Jingfeng Chen, Chaoqun Bai, Xiaoxue Lei, Yanping Zhang, Guifen Fu

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Article in Frontiers in clinical diabetes and healthcare, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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6 authors.

Yelan Huang *School of Nursing, Guangxi University of Chinese Medicine, Nanning, China.
Jingfeng Chen *Department of Geriatric Endocrinology and Metabolism, Guangxi Academy of Medical Sciences and the People's Hospital of Guangxi Zhuang Autonomous Region, Nanning, China.
Chaoqun Bai *Department of Geriatric Endocrinology and Metabolism, Guangxi Academy of Medical Sciences and the People's Hospital of Guangxi Zhuang Autonomous Region, Nanning, China.
Xiaoxue LeiDepartment of Geriatric Endocrinology and Metabolism, Guangxi Academy of Medical Sciences and the People's Hospital of Guangxi Zhuang Autonomous Region, Nanning, China.
Yanping ZhangDepartment of Geriatric Endocrinology and Metabolism, Guangxi Academy of Medical Sciences and the People's Hospital of Guangxi Zhuang Autonomous Region, Nanning, China.
Guifen FuDepartment of Nursing, Guangxi Academy of Medical Sciences and the People's Hospital of Guangxi Zhuang Autonomous Region, Nanning, China.

Funding

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6 · The paper itself

Abstract

Objective: To investigate the prevalence of diabetic kidney disease (DKD) and identify its associated factors among rural patients with type 2 diabetes mellitus (T2DM) in Guangxi, China. Methods: A multistage stratified random sampling method was applied. Five cities across Guangxi (Nanning, Guilin, Hechi, Chongzuo, and Yulin) were randomly selected, followed by three counties in each city, yielding 15 counties in total. One hospital from each county was chosen, and patients with T2DM were recruited for questionnaires and laboratory testing. Descriptive epidemiological methods were used to calculate the prevalence of DKD. Univariate and multivariate logistic regression analyses were performed to identify associated factors. Results: A total of 2,178 rural patients with T2DM were included (1,204 men and 974 women; mean age 63.25 ± 12.71 years; mean disease duration 7.96 ± 4.07 years). The HbA1c control rate was 22.68%, and the prevalence of DKD was 23.32% (95% CI: 21.6% to 25.1%; 508/2,178). Logistic regression analysis showed that higher diabetes knowledge levels were protective against DKD (OR = 0.936, 95% CI: 0.891-0.984). Independent associated factors. included elevated HbA1c (OR = 1.530, 95% CI: 1.389-1.686), serum creatinine (OR = 1.037, 95% CI: 1.033-1.041), uric acid (OR = 1.005, 95% CI: 1.004-1.007), and triglycerides (OR = 1.190, 95% CI: 1.010-1.403). Conclusion: The prevalence of DKD among rural patients with T2DM in Guangxi is relatively high. Enhancing diabetes-related knowledge and strengthening the monitoring and control of HbA1c, lipid profiles, creatinine, and uric acid may help reduce the risk of DKD and improve patient outcomes.

Indexed as

associated factorscross-sectional studydiabetic kidney diseaseprevalencerural healthtype 2 diabetes mellitus

Identifiers

PMID41835803
PMCPMC12982030

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