Background: The concept of food insecurity encompasses three dimensions. One of these dimensions, the access component of household food insecurity is measured through the use of the Household Food Insecurity Access Scale (HFIAS). Despite its application in Ethiopia and other similar developing countries, its performance is still poorly explored. Our study aims to evaluate the validity of the HFIAS in Ethiopia. Methods: We conducted repeated cross-sectional studies in urban and rural villages of the Butajera District in southern Ethiopia. The validation was conducted on a pooled sample of 1,516 households, which were selected using a simple random sampling method. The HFIAS was translated into the local Amharic language and tested for face validity. We also evaluated the tool's internal consistency using Cronbach's alpha and factor analysis. We tested for parallelism on HFIAS item response curves across wealth status and further evaluated the presence of a dose-response relationship between the food insecurity level and the consumption of food items, as well as between household wealth status and food insecurity. Additionally, we evaluated the reproducibility of the tool through the first and second round of HFIAS scores. Results: The HFIAS exhibited a good internal consistency (Cronbach's alpha for the values of rounds 1 and 2 were 0.76 and 0.73, respectively). A factor analysis (varimax rotation) resulted in two main factors: the first factor described a level of mild to moderate food insecurity, while the second factor described severe food insecurity. HFIAS item response curves were parallel across wealth status in the sample households, with a dose-response trend between food insecurity levels and the likelihood of previous day food consumption being observed. The overall HFIAS score did not change over the two rounds of data collection. Conclusions: The HFIAS is a simple and valid tool to measure the access component of household food insecurity. However, we recommend the adaptation of questions and wordings and adding examples before application, as we found a discrepancy in understanding of some of the nine HFIAS questions.

BackgroundIn Ethiopia most childbirth occurs at home and is not assisted by skilled birth attendants. On the other hand having a birth attendant with midwifery skills during child birth is one of the most important interventions in reducing maternal morbidity and mortality. The objective of this study was to make an in-depth assessment of reasons why mothers do not use health facilities for child delivery.MethodsFocus Group Discussions were used to gather information on use of health facilities for delivery in Butajira districts of South Central Ethiopia. The study was conducted from January to February 2012. Information was collected from four groups of women who had delivered in the past two years and four groups of men whose wives/partners have delivered in the same period. Data was coded and categorized using open code, qualitative data management software and analyzed based on thematic analysis.ResultsA total of eight FGD sessions, four with women and four with men groups were conducted involving 81 residents of the Butajira district. FGD participants answered that a large majority of women in the district gave birth at home. Two major themes, client related factors and facility/staff factors, emerged. Factors that emerged within major themes of client factors were decision making on place of delivery, reliance on Traditional Birth Attendants (TBAs), misconception about services provided at health facility, inability of family members to be present at time of labor and delivery, lack of privacy, traditional and/or spiritual factors, economic factors and accessibility to health care facilities. Within major themes of facility/staff factors subthemes that emerged were poor reception, refusal of admission, lack of privacy, information gap, poor competence and shortage of staff and materials at health facilities.ConclusionWomen in the study areas do not deliver in health facilities because of reasons that can be attributed to health care system and client related factors. These need to be addressed by considering the specific factors related to the health system and community perspectives.

Background Nutrition transition in many low- and middle-income countries (LMICs) has led to shift in childhood nutritional outcomes from a predominance of undernutrition to a double burden of under- and overnutrition. Yet, policies that address undernutrition often times do not include overnutrition nor do policies on overweight, obesity reflect the challenges of undernutrition. It is therefore crucial to assess the prevalence and determinants of concurrence stunting and overweight/obesity to better inform nutrition programs in Ethiopia and beyond. Methods We analyzed anthropometric, sociodemographic and dietary data of children under five years of age from 2016 Ethiopian Demographic and Health Survey (EDHS). A total of 8,714 children were included in the current study. Concurrence of stunting and overweight/obesity (CSO) prevalence was estimated by basic, underlying and immediate factors. To identify factors associated with CSO, we conducted hierarchical logistic regression analyses. Results The overall prevalence of CSO was 1.99% (95% CI, 1.57–2.53). The odds of CSO was significantly higher in children in agrarian region compared to their counter parts in the pastoralist region (AOR = 1.51). Other significant factors included; not having improved toilet facility (AOR = 1.94), being younger than 12 months (AOR = 4.22), not having history of infection (AOR = 1.83) and not having taken deworming tablet within the previous six months (AOR = 1.49). Conclusion Our study provided evidence on the co-existence of stunting and overweight/obesity among infants and young children in Ethiopia. Therefore, identifying children at risk of growth flattering and excess weight gain provides nutrition policies and programs in Ethiopia and beyond with an opportunity of earlier interventions through improving sanitation, dietary quality by targeting children under five years of age and those living in Agrarian regions of Ethiopia.

BackgroundAdolescence is characterized by rapid growth and development with a significantly increased need for macro and micronutrients. However, there is little empirical evidence on the burden of anaemia among adolescent girls in developing countries such as Ethiopia. This study aims to address this gap by evaluating the magnitude of anaemia with an aim to guide design of intervention modalities to address anaemia among adolescent girls.MethodsThe study employed a community based cross sectional design. The study was conducted on weekends to capture both in school and out of school adolescent girls. Data was collected from a total 1323 adolescent girls. From each district, we randomly selected villages and ensured that the sampled households had a range geographical spread (lowlands, highlands) within the larger category of rural and urban. We performed anaemia testing using HemoCue B-Haemoglobin analyser. We applied a complex survey data analysis method to estimate the level of anaemia. The hemoglobin level was adjusted for altitude and smoking status. We ran a logistic regression model to evaluate predictors of anaemia.ResultsThe overall anaemia prevalence ranged from 24 to 38%, with an average rate of 29%. Less than half of the girls heard the term anaemia, and about one third knew the relationship between anaemia and the intake of iron rich foods. The risk of anaemia is higher among adolescent girls in their early adolescence period (10–14 years) (Adjusted Odds Ratio (AOR); 1.98; 95% CI; 1.03, 3.82] and among adolescent girls who lived in moderately food insecure households (AOR 1.48; 95% CI; 1.05–2.09). However, knowing the term “anaemia” was found to be protective against the risk of anaemia.ConclusionsThe risk of anaemia was particularly high among adolescent girls in their early age and among those living in food insecure households. The prevalence of anaemia among adolescent girls is a moderate public health problem. According to the WHO set criteria, the districts could be candidates for intermittent iron and Folic acid supplementation program.

Although pregnant women are required to increase food and nutrient intake to accommodate for the increased nutritional demands, information on dietary behaviour and nutrient intake is limited. This study aimed to identify the adequacy and differences in intake between pregnant and non-pregnant women in a rural community of Butajira district, Southern Ethiopia. Simple random sampling was used to recruit 159 pregnant and 164 non-pregnant women. An interactive multiple pass 24-h recall survey was used to evaluate the food and nutrient intake of the study participants. Except for iron, vitamin A and C, intakes of macro and micronutrient were below the recommendations. Almost all study participants were deficient in energy, protein, calcium, folate and niacin intakes. There was no significant difference in the mean dietary intake of all nutrients between pregnant and non-pregnant women (p > 0.05). The prevalence of inadequacy was comparable between pregnant and non-pregnant women in all of the nutrient intakes except for Zn, where the prevalence of inadequacy was much higher among the pregnant women. Nearly all (99.0%) of the pregnant women were deficient in niacin, folate and calcium. Although all pregnant women considered it important to increase food intake during pregnancy, only a quarter of women reported to do so. In conclusion, pregnant women in the rural community of Butajira district do not make significant dietary intake adjustments to account for increased nutrient needs during pregnancy. In food insecure areas, such as ours, nutritional counselling complemented with supplementary feeding programmes could be key to ensure adequate dietary intake. © 2016 John Wiley & Sons Ltd.

Background: Seasonality poses a considerable food security challenge in Ethiopia. Yet, measuring seasonal variations in food insecurity, particularly the dimension of food access, lacks an adequately validated tool. We therefore evaluated the performance of an adapted Household Food Insecurity Access Scale (HFIAS) to estimate seasonal variations in food insecurity (FI) among subsistence villagers in Ethiopia. Methods: We employed a cohort study design using a panel of four repeated measurements taken in June, September, and December in the year 2017, and in March 2018. The study recruited 473 villagers from the droughtaffected Wolaita area in southwest Ethiopia. The performance of the HFIAS was evaluated via internal consistency (Chronbach's alpha values) and criterion validation techniques. The set of criteria include: parallelism between affirmative responses to FI questions and wealth strata; dose-response relationship between FI and dietary intake; and also FI severity and household wealth status. Results: This study revealed that the HFIAS had satisfactory performance in four repeated measurements. The likelihood of affirmative responses to questions about FI decreased with ascending wealth quintiles. We observed an inverse dose-response relationship between FI and wealth status, and between FI and household dietary diversity. Conclusions: The HFIAS showed an acceptable potential for measuring seasonal variations in FI in the study area. Our findings complement efforts to evaluate the scale's applicability in various settings, in order to promote crossculture monitoring and comparisons. However, it required a careful adaption for contextual and cultural sensitivities.

Objective: The present study aimed to evaluate the clustering of undernutrition indicators of children under the age of 5 years in relation to different scales. Design: A community-based cross-sectional study design was employed. We collected anthropometric data, geographic locations/elevations of households and other data from visited households. We used a retrospective purely spatial Poisson probability model to identify and locate clusters (high rates) of stunting and wasting using the software SaTScan™ version 9·1·1. We ran a logistic regression model to help evaluate the causes of clustering. Settings: Six villages in the Meskane Mareko District (38·45763°E, 8·042144°N) of southern Ethiopia. Subjects: We surveyed 2371 children aged <5 years, who were found in 1744 households. Results: We found a micro-level variation in the risk of stunting and wasting within the studied district. We found the most likely significant clusters for wasting and severe wasting in two of the six villages. For stunting, a single large cluster size of 390 cases (304·19 expected) in 756 households was identified (relative risk = 1·48, P < 0·01). For severe stunting, a single cluster size of 106 cases (69·39 expected) in 364 households was identified (relative risk = 1·69, P = 0·035). Conclusions: We conclude that the distribution of wasting and stunting was partly spatially structured. We identified distinct areas within and between villages that have a higher risk than the underlying at-risk population. Our analysis identified the spatial locations of high-risk areas for stunting that could be an input for geographically targeting and optimizing nutritional interventions. KeywordsClustering Undernutrition Stunting Wasting EthiopiaThe burden of undernutrition has declined progressively in developing countries, with the rate of reduction varying by region. The largest reductions have been in Asia, whereas a modest reduction in prevalence is documented in Africa (1) . Ethiopia has documented a significant decline in the prevalence of both stunting and underweight over the past 14 years (between 2000 and 2014). For example, the prevalence of stunting decreased by 31 % (from 58 % to 40 %), while the prevalence of underweight decreased by 39 % (from 41 % to 25 %), between 2000 and 2014 (2-5) .Although this is significant progress in the reduction of stunting and underweight prevalence, the current prevalence levels are still considerable. Based on the WHO recommended criteria for assessing the severity of stunting and underweight at the population level, the country is classified under a medium to high grade (prevalence range of 20-40 % for stunting and 10-30 % for underweight). To help ameliorate the current unacceptably high burden of undernutrition among children under the age of 5 years, the Government of Ethiopia has launched a national nutrition programme (June 2013-June 2015 prioritizing nutrition as a viable strategy for the country's growth and development plans (6) . Among other things, a reduction in the burden of ch...

BackgroundChild undernutrition remains the major public health problem in low and middle-income countries including Ethiopia. The effects of good governance, urbanization and public health expenditure on childhood undernutrition are not well studied in developing countries. The objective of the study is to examine the relationship between quality of governance, public health expenditures, urbanization and child undernutrition in Ethiopia.MethodsThis is pooled data analysis with ecological design. We obtained data on childhood undernutrition from the Ethiopian Demographic and Health Surveys (EDHS) that were conducted in 2000, 2005, 2011 and 2016. Additionally, data on quality of governance for Ethiopia were extracted from the World Governance Indicators (WGI) and public health spending and urbanization were obtained from the World Development Indicators and United Nations’ World Population Prospects (WPP) respectively. Univariate and multivariate analysis were done to assess the relationship between governance, public health expenditure and urbanization with childhood undernutrition.ResultGovernment effectiveness (adjusted odd ratio (AOR) = 20.7; p = 0.046), regulatory quality (AOR = 0.0077; p = 0.026) and control of corruption (AOR = 0.0019; p = 0.000) were associated with stunting. Similarly, government effectiveness (AOR = 72.2; p = 0.007), regulatory quality (AOR = 0.0015; p = 0.004) and control of corruption (AOR = 0.0005; p = 0.000) were associated with underweight. None of the governance indicators were associated with wasting. On the other hand, there is no statistically significant association observed between public health spending and urbanization with childhood undernutrition. However, other socio-demographic variables play a significant effect on reducing of child undernutrition.ConclusionThis study indicates that good governance in the country plays a significant role for reducing childhood undernutrition along with other socio-demographic factors. Concerned bodies should focus on improving governance and producing a quality policy and at the same time monitor its implementation and adherence.Electronic supplementary materialThe online version of this article (10.1186/s12913-018-3822-2) contains supplementary material, which is available to authorized users.