Rural Sidama survey finds low confirmed diabetes prevalence in adults 45 and older
A community-based survey in rural Sidama, Ethiopia, found a low prevalence of undiagnosed diabetes among adults aged 45 years and above, but the findings also point to a persistent need for screening in older adults and for attention to the nutritional profile of the population. Using a two-step diagnostic strategy that paired fasting blood sugar with confirmatory HbA1c testing, investigators identified 35 previously undiagnosed cases among 2871 adults, yielding a prevalence of 1.2% with a 95% confidence interval of 0.9% to 1.7%.
The total diabetes burden remained modest even after previously known disease was added in. In all, 49 of 2871 participants had diabetes, corresponding to a prevalence of 1.7% (95% CI 1.3% to 2.3%). Seventeen cases were already known before the survey began, while 14 participants had a prior diagnosis of diabetes, representing 0.5% of the sample. The study used a census of adults in selected rural kebeles of Shebedino district and applied a pretested WHO-STEPwise questionnaire alongside physical and biochemical measurements collected between 1 April and 31 July 2024.
Two-step testing sharpened case detection in a rural adult census
The diagnostic approach matters here. Fasting glucose alone can miss people whose glycaemia fluctuates or whose chronic exposure has not yet crossed a single laboratory threshold, while HbA1c captures longer-term glucose burden and offers a more stable confirmatory readout. By combining the two methods, the survey reduced the risk of overcalling transient hyperglycaemia and strengthened the estimate of chronic diabetes prevalence in a setting where routine laboratory access is limited.
That approach also helps explain why the final prevalence estimate remained low despite a sizable, aging cohort. Rural populations with undernutrition, high physical activity, and lower exposure to some urban metabolic drivers may have a different diabetes pattern than city populations, but low prevalence does not equal low need. A prevalence of 1.2% in undiagnosed disease still represents people who are living with vascular risk, often without symptoms, and who would not have been captured without field screening.
The population profile in this survey adds another layer. Nearly half of participants, 1327 of 2875, were undernourished. That finding places chronic metabolic disease in a setting where inadequate caloric intake, food insecurity, and broader nutritional stress remain central public health concerns. Diabetes screening in such communities cannot be separated from the clinical reality of undernutrition, because both conditions may coexist and shape how patients present, how they are counselled, and how they respond to treatment.
Age and income tracked with higher fasting glucose
Advanced age and estimated annual income were both significantly associated with elevated fasting blood sugar. For age, the coefficient was β=0.21 with a 95% CI of 0.08 to 0.32 and p=0.001. For estimated annual income, the coefficient was β=0.15 with a 95% CI of 0.02 to 0.28 and p=0.029. These associations deserve attention because they point in different directions of risk accumulation: aging reflects the expected biological drift toward insulin resistance and pancreatic beta-cell decline, while higher income in this rural setting may signal greater access to energy-dense foods, more sedentary habits, or other lifestyle shifts that accompany rising socioeconomic status.
The direction of the income association is especially important in rural epidemiology. In many low-resource settings, higher income can initially move dietary patterns toward more processed foods and greater caloric availability, even when undernutrition remains common across the same district. A household may be vulnerable to both food insecurity and metabolic risk, depending on seasonal availability, household composition, and the kinds of foods being purchased or produced. Clinical screening programs need to recognize that diabetes risk does not always cluster only among the poorest households.
One sentence captures the bedside consequence: older rural adults with higher fasting glucose may otherwise remain invisible until complications develop.
What the findings mean for screening, counseling, and nutrition policy
The study supports routine community-based screening among older adults in rural settings where diabetes may be underdetected. Field-based case finding is particularly relevant for people over 45, because symptoms can be subtle and access to clinic-based laboratory testing may be limited by distance, cost, or competing household demands. Identifying diabetes at the community level creates an opportunity to connect patients to repeat testing, cardiovascular risk assessment, and practical counseling before hyperglycaemia becomes entrenched.
The nutritional findings matter just as much as the glucose results. With 46% of participants classified as undernourished, any response strategy has to be broader than diabetes alone. Nutrition-focused interventions may help address the background vulnerability that shapes overall health in these communities, while health education can improve awareness of diabetes symptoms, risk factors, and the value of screening. In a setting where chronic undernutrition remains common, metabolic prevention must be tailored carefully rather than borrowed wholesale from urban prevention models.
The use of a community census strengthens the credibility of the prevalence estimate, but it also sets clear limits on interpretation. Cross-sectional data can identify association, not causation, and the survey cannot explain how income, age, diet, or activity patterns produced the observed glycaemic differences. The study also reflects one rural district at one point in time, so the burden in other Ethiopian settings may differ substantially. Even so, the message is concrete: diabetes in rural Sidama is present, measurable, and likely underrecognized without proactive outreach.
Routine screening, better nutrition support, and age-focused case detection form the practical response. The unresolved question is not whether diabetes exists in this population, but how many affected adults are still waiting to be found before complications force the issue.