ArticleScientific reports2024
Peripheral neuropathy and associated factors among type 2 diabetic patients attending referral hospitals in the Amhara region, a multi-center cross-sectional study in Ethiopia.
Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- The effects of high-intensity interval training on glucose metabolism, inflammatory responses, and functional recovery in patients with diabetic peripheral neuropathy.Frontiers in endocrinology · 2026Trial
- Prevalence of overweight and obesity and associated factors among persons with type 2 diabetes mellitus in Ethiopia: A systematic review and meta-analysis.Obesity pillars · 2026Review
- Diabetic peripheral neuropathy in type 2 diabetes: prevalence and associated factors in Midwest Brazil.Archives of endocrinology and metabolism · 2026Article
- Prevalence and determinants of peripheral neuropathy among older Malaysians: Insights from a community-based cross-sectional study.Journal of family medicine and primary care · 2026Article
- Development and Validation of a Machine Learning-Based Predictive Model for Peripheral Neuropathy Risk in Elderly Patients with Type 2 Diabetes.Risk management and healthcare policy · 2026Article
- Role of circ_0012856 in modulating molecular pathways of diabetic peripheral neuropathy.Journal of cell communication and signaling · 2025Article
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Abstract
Diabetic peripheral neuropathy is one of the diabetes most common microvascular complications. It is very prevalent in Sub-Saharan Africa due to a combination of causes, including rising diabetes prevalence, limited healthcare resources, and a lack of access to competent medical care. However, just a few studies have been undertaken in the study area. Institution-based cross-sectional study was conducted in the Amhara region referral hospitals, in 2022. By using a systematic random sampling technique, a total of 627 respondents were included. The data was entered into EPI Data version 4.6 and exported to SPSS version 25 for further analysis. A binary logistic regression was used to determine the relationship between the dependent and predictor variables. The association between predictor variables and the dependent variable was determined using multivariate logistic regression [p value < 0.05, 95% confidence interval]. The overall prevalence of diabetic peripheral neuropathy among the study participants was 48.2% (95% CI; 44.2, 52.1). Aged between 40 and 60 years (AOR = 4:27; 95% CI 2.62, 6.94), and 60 years and older (AOR = 4:47; 95% CI 2.40, 8.35), participants who have lived alone (AOR = 2:14; 95% CI 1.21, 3.79), patients with comorbidity (AOR = 1:83; 95% CI 1.22, 2.76), and being physically inactive (AOR = 1:69; 95% CI 1.14, 2.49) were significantly associated with Diabetic peripheral neuropathy. Diabetic peripheral neuropathy was high among diabetic patients. Healthcare providers should prioritize regular screening and early intervention for individuals at higher risk, particularly those aged 40 and above, those living alone, patients with comorbid conditions, and those who are physically inactive. Implementing community-based support programs, encouraging physical activity, and providing comprehensive management plans for diabetes and associated comorbidities can help mitigate the risk and improve the quality of life for these patients.
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