ArticleThe Pan African medical journal2022
Prevalence and characteristics associated with diabetes mellitus and impaired fasting glucose among people aged 15 to 64 years in rural and urban Rwanda: secondary data analysis of World Health Organization surveillance data.
Article in The Pan African medical journal, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed, 14 citations in OpenAlex.
- Early Type 2 diabetes risk prediction using explainable machine learning in a two-stage approach.Frontiers in digital health · 2026Article
- Blood pressure screening in Mata Sector, a rural area of Rwanda.Journal of human hypertension · 2025Article
- Hypoglycemia and associated cardiovascular diseases, morbidity and mortality in patients with type 2 diabetes mellitus in university teaching hospitals in Rwanda.Journal of pharmacy & pharmaceutical sciences : a publication of the Canadian Society for Pharmaceutical Sciences, Societe canadienne des sciences pharmaceutiques · 2025Article
- Prevalence of metabolic syndrome and its components among rural and urban populations at a provincial hospital in Northern Rwanda: a cross-sectional study.The Pan African medical journal · 2025Article
- County Rurality and Incidence and Prevalence of Diagnosed Diabetes in the United States.Mayo Clinic proceedings · 2024Observational
- Frequency and Sex-Specific Associations of Metabolic Syndrome in Rwandans Seeking Outpatient Care: A Cross Sectional, Single Centre Study.Diabetes, metabolic syndrome and obesity : targets and therapy · 2024Article
- Prevalence, medication adherence, and determinants of type 2 diabetes mellitus during Coronavirus Disease 2019 pandemic among adults in Tanzania.SAGE open medicine · 2024Article
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- Community Health Worker-Led Cardiovascular Disease Risk Screening and Referral for Care and Further Management in Rural and Urban Communities in Rwanda.International journal of environmental research and public health · 2023Article
- Population-Level Interventions Targeting Risk Factors for Hypertension and Diabetes in Rwanda: A Situational Analysis.Frontiers in public health · 2022Article
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Authors and funding
6 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction: diabetes mellitus is an increasing public health burden in developing countries. The magnitude of diabetes association with traditional risk factors for diabetes have been given less attention in rural population. This study aims to determine the prevalence of diabetes and impaired fasting glucose and to assess associated characteristics to hyperglycemia in rural and urban Rwanda. Methods: this is a secondary analysis of data from a population-based cross-sectional study of 7240 people describing risk factors for non-communicable diseases using the WHO stepwise methods (STEPS). Relative frequencies of variables of interest were compared in rural and urban residence using Pearson chi-square tests. Diabetes and impaired fasting glucose were combined in a single hyperglycemia variable and odds ratios with 95% confidence intervals were used to explore associations between hyperglycemia, socio-demographic and health factors in urban and rural populations. Results: the prevalence in rural and urban areas was 7.5% and 9.7% (p.005) for diabetes and 5.0% and 6.2% for impaired fasting glucose (p.079) respectively. Obesity (AOR 2.57: CI: 0.86-7.9), high total cholesterol (AOR 3.83: CI: 2.03-7.208), hypertension (AOR 1.18: CI: 0.69-2.00), increasing age were associated with hyperglycemia in urban participants but only high total cholesterol and low high density lipoproteins (HDL) cholesterol were risk factors for hyperglycemia in rural participants. Conclusion: approximately one in six people in Rwanda have hyperglycemia. The magnitude of the association with traditional risk factors for diabetes differ in rural and urban settings. Different approaches to primary and secondary prevention of diabetes may be needed in rural populations.
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