IntroductionCurrently, diabetes is the second most common non-communicable disease (NCD) in Ethiopia. Its burden is 4.8% in this country, even though three quarter of its population live with undiagnosed diabetes mellitus (DM), which causes complications like heart failure, blood vessels, eyes, kidneys and nerves damages. Early detection of DM is vital for a timely intervention to prevent these life threatening complications. The aim of this study was to assess the prevalence of undiagnosed DM and related factors in East Gojjam, North West Ethiopia, in 2016.Materials and methodsA community-based cross-sectional study was conducted among 757 individuals in East Gojjam from June to September 2016. The sampled population was selected using multi-stage cluster sampling method. Basic data were collected in Amharic (local language) and a pretested interviewer administered the questionnaire. Peripheral blood samples were collected by puncturing the ring finger in order to measure fasting blood glucose. Univarite and multivariate logistic regressions analysis were performed using Statistical Package for Social Sciences (SPSS) software version 20.0.ResultsThe percentage of undiagnosed DM in the study area was 11.5% (95%CI=9.2, 13.7). The prevalence was 11.3% among male vs. 11.8% among female; 13.4% in urban areas vs. 10.3% in rural areas. The occurrence of undiagnosed DM was mainly associated with older age (AOR=5.99, 95%CI=1.54, 23.24), family history of diabetes (AOR=9.86, 95%CI=4.25, 22.89), history of gestational diabetes (AOR=3.01, 95%CI=1.17, 8.39) and sedentary behaviour >4 hours per day (AOR=2.13, 95%CI=1.04, 4.34). Being non-smoker (AOR=0.05, 95%CI=0.01, 0.17) and unmarried (AOR=0.09, 95%CI=0.02, 0.42) were also predictive characteristics for undiagnosed DM in the study area.ConclusionsIn conclusion, this study revealed a relatively high prevalence of undiagnosed DM in the study area. The occurrence of undiagnosed DM was significantly higher when associated with the age of the participants, their marital status, history of hypertension, diabetes family history, history of gestational diabetes mellitus, current smoking practices and sedentary behaviour. Thus, efforts have to be made, particularly by the individuals involved in health practice, to early detect the disease and thereby initiate a suitable therapeutic service, before complications ariseSignificance for public healthCurrently, diabetes is the second most common non-communicable disease in Ethiopia. Its burden is 4.8% in this country, though three quarter of its population live with undiagnosed diabetes mellitus (DM), which could lead to several complications such as heart failure, blood vessels, eyes, kidneys, and nerves damages. Evidence shows that the disease is increasing through time. Early detection of DM is vital for a timely intervention to prevent life-threatening complications. Efforts should be made by politicians, decision makers and other healthy institutions to implement screening modality and early interventions.
BackgroundThis study aimed to assess undernutrition and associated factors among 24–36-month-old children in the slum areas of Bahir Dar city.MethodsA community-based cross-sectional study was conducted among 480 children from May 1 to 26, 2015. The simple random sampling technique was used to select respondents. Data were collected using a structured interviewer-administered questionnaire. Statistical Package for Social Sciences version 20 was used for analysis. The prevalence of undernutrition was computed. Binary and multivariable logistic regression analyses were also carried out to identify the association between the independent and dependent variables and the predictors of undernutrition, respectively. A P-value <0.05 was considered to be statistically significant in the final model.ResultThe prevalence of stunting, underweight, and wasting was 42%, 22.1%, and 6.4%, respectively. Independent predictors for stunting were illness in the preceding two weeks, having two children under three years old, taking prelacteal feeding, and early or late initiation of complementary feeding. Illness in the preceding two weeks, lack of latrine utilization, and lack of hand washing practice were independent predictors for underweight.ConclusionThere was a high prevalence of undernutrition in this study. Thus, health extension workers and health professionals in Bahir Dar city should educate mothers/caretakers on the health impact of giving prelacteal feeding, hand washing practice, time of initiation of complementary feeding, and birth interval.
Background Anemia is more prevalent among women, and it is a moderate public health problem in Ethiopia. The wealth status and place of residence of a woman have implications on the intervention of anemia. Studies that examined the relationship between women’s wealth index status and residency in Ethiopia are scarce. We aimed to identify the urban–rural differential in the association between household wealth index and anemia among women of childbearing age in Ethiopia. Method A cross-sectional design was employed with a nationally representative sample of 14,100 women aged 15–49-year-old from the Ethiopian demographic and health survey conducted in 2016. We used the two-stage sampling method to select the sample size. The primary outcome was anemia in women of childbearing age. A hemoglobin level of below 11 g/dl for pregnant women and 12 g/dl for non-pregnant women was the indicator of anemia. Using a three-level random intercept model to explore associated factors at the individual and household levels quantified the observed and unobserved variations between household wealth index and residence on anemia. Results Women belonging to a lower household wealth index category were more anemic (29.6%) than those middle and above wealth index categories. Women who lived in rural areas (25.5%) were prone to anemia than those who lived in urban areas (17.5%). The odds of anemia were significantly higher in women of the low household wealth category who living in rural compared to women of the middle and above household wealth category who living in urban (AOR = 1.37, 95% CI 1.14–1.65, P < 0.001). Conclusion In this study, anemia is more common among women who live in rural with the low house wealth category. Therefore, novel public health interventions should target women who live in rural areas with the lowest household wealth status.
Background: Anemia is more prevalent among women, and it is a moderate public health problem in Ethiopia. The wealth status and place of residence of a woman have implications on the intervention of anemia. Studies that examined the relationship between women’s wealth index status and place of residency in Ethiopia are scarce. We aimed to identify the urban-rural differential in the association between household wealth index and anemia among women of childbearing age in Ethiopia. Method: A cross-sectional design was employed with nationally representative sample of 14100 women aged 15–49-year-old from the Ethiopian demographic and health survey conducted in 2016. Samples were selected by the two-stage clustering sampling method. The primary outcome was anemia in women of childbearing age. A hemoglobin level of below 11 g/dl for pregnant women and 12 g/dl for non-pregnant women was used as the indicator of anemia. Using a three-level random intercept model to explored associated factors at individual and household levels quantified the observed and unobserved variations between households’ wealth index and place of residence. Results: Women of low household wealth index category were anemic (29.6%) than those middle and rich wealth index categories. Women who live in rural areas were (25.5%) were anemic than those who live in urban. The odds of anemia were significantly higher in women of low household wealth category, compared to women of high household wealth category (AOR = 1.37, 95%CI = 1.14–1.65, P < 0.001). This is not true for women to live in urban residency. Conclusion: Since the driver of anemia in this study is the palace of residency affecting women of reproductive age groups, novel public health interventions should consider urban residency those women with the lowest household wealth status.
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