ArticleSAGE open medicine2023
Diabetic peripheral neuropathy and their associations with overweight/obesity and impaired blood glucose among diabetic patients in Eastern Ethiopia: Institutional-based study.
Article in SAGE open medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
1 citing paper in PubMed, 3 citations in OpenAlex.
- Machine learning models predict mortality risk in diabetic neuropathy patients using MIMIC-IV data.Scientific reports · 2025Article
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Authors and funding
6 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objective: This study aimed to determine the burden of diabetic peripheral neuropathy and its associations with overweight/obesity and impaired blood glucose among diabetic patients in Eastern Ethiopia. Method: A total of 644 diabetic individuals were included in the study through systematic random sampling techniques. The Michigan neuropathy screening instrument was used to evaluate the presence of diabetic neuropathy. Data were presented using narrative, figures, and tables from the results of statistical analysis. The descriptive result was reported using frequency (percentage) for categorical variables and mean ± SD for continuous measures, respectively. Multivariable logistic regression was performed to identify factors associated with diabetic peripheral neuropathy. Results: The overall prevalence of diabetic peripheral neuropathy was 47.8% (95% CI: 43.9%-51.7%). Low monthly income (AOR: 2.02, 95% CI: 1.09, 3.73), history of khat chewing (AOR: 2.32, 95% CI: 1.04, 4.907), impaired blood glucose (AOR: 1.52, 95% CI: 1.63, 1.94), physical inactivity (AOR: 2.76, 95% CI: 1.74, 4.36), and raised body mass index (AOR: 2.45, 95% CI: 1.01, 4.99) were factors significantly associated with diabetic peripheral neuropathy. Conclusion: The study emphasizes the value of early diabetic peripheral neuropathy detection and the widespread presence of diabetic peripheral neuropathy risk factors in diabetes patients. Any initiative intended to lessen the burden of diabetic peripheral neuropathy-related morbidity and high health care costs must be implemented as a strategy.
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