Literature DB >> 32062919

[Prevalence and risk factors of diabetic peripheral neuropathy in Chinese communities].

L Qin1, J Y Niu1, J Y Zhou2, Q J Zhang3, F Zhou3, N Zhang4, Z Y Zhou4, H Y Sheng4, S C Ren3, J Su2, C H Zhu5, G Y Lyu5, W J Wang1.   

Abstract

Objective: To investigate the prevalence and risk factors of diabetic peripheral neuropathy in type 2 diabetic patients under community management programs.
Methods: A cross-sectional study was conducted on T2DM patients in eight communities in Wuhan and Changshu cities. Data would included questionnaire, body measurement, blood testing and clinical examination. The criterion of diabetic peripheral neuropathy was under the combination of symptoms with five physical examinations. Binary logistic regression model was used to analyze the influential factors.
Results: The overall prevalence of peripheral neuropathy was 71.2% among the diabetic patients who were managed in primary care health services in the two cities. The binary logistic regression method identified older age (≥60 years, OR=2.39, 95%CI:1.95-2.94), longer diabetic duration (≥10 years, OR=1.25, 95%CI: 1.02-1.54), and worse postprandial glucose control (2 h postprandial plasma glucose >10.0 mmol/L: OR=1.65, 95%CI:1.33-2.04) (all P<0.05) as risk factors for the presence of diabetic peripheral neuropathy, while higher education level was protective factor (compared to patients with education levels of primary school or below, OR=0.52, 95%CI: 0.41-0.66; OR=0.59, 95%CI: 0.44-0.79; OR=0.64, 95%CI: 0.44-0.94 for those with education levels of junior high school, senior high school, and college, respectively). Conclusions: High rates of diabetic peripheral neuropathy among T2DM patients suggested the urgent need for early screening and standardized management at the community levels. It is necessary to promote appropriate screening techniques and methods to identify the peripheral neuropathy, in the primary health service institutions.

Entities:  

Keywords:  Cross-sectional study; Diabetes; Peripheral neuropathy; Prevalence; Risk factors

Mesh:

Year:  2019        PMID: 32062919     DOI: 10.3760/cma.j.issn.0254-6450.2019.12.014

Source DB:  PubMed          Journal:  Zhonghua Liu Xing Bing Xue Za Zhi        ISSN: 0254-6450


  4 in total

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2.  Shear wave elastography as a quantitative biomarker of diabetic peripheral neuropathy: A systematic review and meta-analysis.

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Journal:  Front Public Health       Date:  2022-07-22

3.  Effectiveness of acupuncture combined mecobalamin in the treatment of elderly diabetic peripheral neuropathy: A protocol of systematic review and meta-analysis.

Authors:  Yu-Hong Duan; Ai-Xia Liu; Hong-Xia Su; Ji-Hong Lv; Xue-Ying Gong; Li Wang
Journal:  Medicine (Baltimore)       Date:  2020-06-05       Impact factor: 1.817

4.  Prevalence and Risk Factors for Diabetic Peripheral Neuropathy in Type 2 Diabetic Patients From 14 Countries: Estimates of the INTERPRET-DD Study.

Authors:  Yanhui Lu; Pengbo Xing; Xue Cai; Dan Luo; Ruxue Li; Cathy Lloyd; Norman Sartorius; Mingzi Li
Journal:  Front Public Health       Date:  2020-10-20
  4 in total

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