Households In Ethiopia Research Articles

Rural-urban disparities in basic sanitation access among households: a multivariable decomposition analysis of Ethiopian demographic and health survey 2019

IntroductionDisparities in access to basic sanitation services between rural and urban households pose significant challenges to public health and human development. Understanding the determinants contributing to this gap is vital for advancing the Sustainable Development Goals (SDGs) and improving environmental and public health through evidence-based interventions.ObjectiveThis study aims to analyze and understand the disparities in access to basic sanitation services between rural and urban households in Ethiopia.MethodsThis study analyzed a sample of 8,663 weighted households, collected using stratified sampling techniques, utilizing the data from the 2019 Ethiopian Demographic and Health Survey (EDHS). The primary outcome was basic sanitation access, defined as access to flush or pour-flush systems, septic tanks, pit latrines, or composting toilets. A multivariable decomposition analysis was conducted to identify factors contributing to rural–urban disparities. Statistically significant variables were determined at a p-value of <0.05 with a 95% confidence interval.ResultsThe weighted proportion of basic sanitation access in Ethiopia was 13.78% (95% CI, 12.67–14.96), with significant disparities between rural (6.02%) and urban (27.15%) residents. Endowment factors accounted for 78.9% of this disparity, while behavioral coefficients contributed 22.1%. If the characteristics of respondents in rural and urban households had been similar, significant factors that would have narrowed the gap included the age of the household head (15–35 years), the absence of under-five children, smaller family size, and the attainment of secondary education, reducing the gap by 1.83, 2.07, 5.08, and 3.25%, respectively. Conversely, illiteracy and primary education levels widened the gap between rural and urban access to basic sanitation services by 16.85 and 0.23%, respectively. Additional factors exacerbating the rural–urban disparity included poverty (which widened the gap by 58.71%), residence in pastoralist regions (which widened the gap by 10.10%) or agrarian regions (which widened the gap by 7.03%), and access to water sources located more than 30 min away (which widened the gap by 7.91%).ConclusionSignificant disparities in access to basic sanitation services exist between rural and urban households in Ethiopia. Key factors contributing to these disparities include the age of the household head, education level, family size, region of residence, and water source proximity. Addressing these factors is essential for improving sanitation access and achieving the Sustainable Development Goals (SDGs).

Factors Affecting Food Security of Expropriated Peri-Urban Households in Ethiopia: The Case of the East Gojjam Administrative Zone

Food insecurity in peri-urban areas is exacerbated by high living costs, limited access to healthy food, and economic inequality. Despite its growing prevalence due to factors like land loss from urban expansion, food insecurity has received limited attention. In Ethiopia, drastic urbanization creates competition for land between agriculture and urban development, which is becoming extreme in peri-urban areas., This study aims to assess the impact of urban expansion on food security among expropriated peri-urban households in Ethiopia. Using a calorie intake-based food security line, we categorize respondents as food-secure or -insecure. The research analyzed data from 350 expropriated peri-urban households through a structured questionnaire, employing descriptive statistics and binary logistic regression. About 67% of the respondents were classified as food-insecure. The binary logit model identified several significant determinants of food security, including compensation amount and type, household head demographics, agricultural land rent participation, irrigation and credit access, off-farm income, and organic fertilizer use. To address food insecurity among expropriated households, policymakers must prioritize these factors. Government attention and policy consideration are crucial to ensure the well-being of these vulnerable populations.

Temporal and Spatial Dynamics of Anthracnose (Colletotrichum sublineolum) Disease on Selected Sorghum Genotypes at Assosa Zone, Western Ethiopia

Background Over 500 million people worldwide rely on sorghum as a main food crop. About 10% of the daily caloric intake of households in Ethiopia’s northwest and eastern regions, including Benishangul Gumuz, comes from sorghum. A hemi-biotrophic fungal pathogen called Colletotrichum sublineolum caused anthracnose disease is among the biotic constraints of sorghum production. Methods Ten selected sorghum genotypes were assessed for sorghum anthracnose severity and its temporal and spatial dynamics on field plots in the districts of Assosa and Bambasi. The performance of the chosen sorghum genotypes was assessed using the following metrics: AUDPC, disease progress rate, yield-related trait, sorghum grain yield, and mean severity index. Anthracnose severity was evaluated using a 1–5 disease rating scale and assessments conducted at seven consecutive time points. Results Ten genotypes of sorghum were examined in the districts of Assosa and Bambasi, with mean anthracnose severity index ranging from 60-77 PSI and 53-82 PSI, respectively. AUDPC varied from 351 to 470 % days and 316 to 499 % days at Assosa and Bambasi districts, respectively. Bambasi district achieved a larger grain yield than the Assosa district. Assosa-1 demonstrated a significant level of disease pressure, yet the current investigation found that this genotype is the highest performing genotype in both locations. Conclusions There is a considerable positive link between the severity of anthracnose and the weekly total rainfall and relative humidity. At both trial sites, Mersa-1 continuously produced higher grain yields and reduced disease levels. Breeders might utilize the Baco Striga sorghum genotype as a check line in a breeding effort to resist anthracnose disease because it shown a high vulnerability to the disease at both locations.

Exposure to indoor air pollution using biomass among rural households in Southern Ethiopia

Most rural households in Ethiopia depend on traditional cooking fuels. The inefficient combustion of those fuels significantly raises health concerns by exposing them to indoor air pollution. This study aimed to assess the factors contributing to indoor air pollution exposure in rural households. The study was based on data from 573 households selected randomly using a multi-stage sampling approach. Descriptive statistics and a Generalized Ordered Logit model, which explores the relationship between various independent variables and levels of exposure to indoor air pollution, were used. The study employed indicators such as traditional solid fuel use, inadequate ventilation during cooking, and lack of improved cookstoves as proxies to assess households’ exposure to indoor air pollution. More than 79% of households were found to be severely polluted. Women were the most exposed to indoor air pollution. The number of rooms, having a bank or microfinance savings account, education, income, access to electricity, floor building material, number of dependent family members, and cooking time were the main contributing factors. The use of clean fuels, improved cookstoves, and adequate ventilation must be strongly advocated.

Investigating factors influencing overweight and obesity among adult households in Ethiopia: a multilevel ordered analysis of 2016 EDHS data.

In both high- and low-income countries, including Ethiopia, overweight and obesity have emerged as public health issues of the 21st century. Hence, obtaining conclusive evidence concerning the factors that influence adults' body mass index is important. Therefore, using representative data, our study sought to provide solid evidence on factors influencing overweight and obesity among adults in Ethiopia. The 2016 Ethiopia Demographic and Health Survey (EDHS), a dataset composed of a nationally representative sample of the survey, served as the basis for the study. Both descriptive and analytic findings were produced using STATA version 14. The data collection were conducted from January to June 2016. A total sample of 39,749 adults, 18 years and older, were included. Predictors were assessed using multivariable ordinal logistic regression analysis, and the results were presented as an adjusted proportional ratio (POR) with a 95% confidence interval. Statistical significance was declared at a p-value of <0.05. Overall, the magnitude of overweight and obesity among adults in Ethiopia was 8.5% (95% CI: 8.2% to 8.7%) and 2.9% (95% CI: 2.7% to 3.1%), respectively. Predictor variables such as smoking (POR = 0.53, 95% CI: 0.42-0.67); being female (POR = 1.21, 95% CI: 1.13-1.30); being married (POR = 1.91, 95% CI: 1.26-2.90); having a secondary education (POR = 1.42, 95% CI: 2.23-1.64); having a diploma and above education (POR = 1.78, 95% CI: 1.44-2.21); having a poorer (POR = 1.22, 95% CI: 1.13-1.31), middle (POR = 1.30, 95% CI: 1.20-1.40), richer (POR = 1.35, 95% CI: 1.25-1.47), and richest (POR = 3.13, 95% CI: 2.79-3.51) wealth index rating; and having a rural residence (POR = 0.48, 95% CI: 0.43-0.54) were significantly associated with overweight and obesity. Overall, 8.5% and 2.9% of Ethiopian adults were overweight and obese, respectively. Factors such as smoking, sex, marital status, educational status, wealth index, residence, and region were significantly associated with overweight and obesity among adult households. As a result, enhancing lifestyle modifications is enormous, and it is necessary to have more tangible evidence concerning the factors influencing body mass index utilizing more representative data from local and global.

MITIGATION OF FOOD INSECURITY IN ETHIOPIA: PERSONAL, HOUSEHOLD, AND REGIONAL DETERMINANTS

Food insecurity has plagued Ethiopia for decades. The objective of this study is determining which personal attributes, household features, income-generating undertakings, and regional location change the food insecurity of Ethiopian households updating past studies. Furthermore, the study quantifies the probability changes in a household being food insecure in response to changes in personal attributes, household features, income-generating undertakings, and regional location. The data from the 2021/2022 Ethiopian Rural Socioeconomic Survey have been applied to estimate coefficients using the logit technique and calculate the effects of explanatory variables. Results show that being a male household head, education, having non-farm enterprise, and access to electricity lower the likelihood of a household being food insecure. In contrast, the likelihood of being food insecure has been associated with the region where a household was located, or dependence on raising livestock. The regional discrepancies have been substantial. Broadening access to education, stimulating non-farm enterprise, and promoting economic development while accounting for regional differences will reduce the risk of household food insecurity.

Disability and its consequence on consumption: evidence from Ethiopian households

ABSTRACT This paper examines the prevalence of disability and its effect on non-health consumption using the World Bank’s Living Standards Measurement Study two-year panel data consisting of 4954 Ethiopian households. The fixed effects model is estimated to analyze the impact of disability on consumption. The disability prevalence rate is as large as 26% of surveyed households. The results show that disability of any degree of severity in any of the six functional domains affects all non-health consumption items except for food while disability coming from a severe degree of difficulty has a larger adverse effect on household consumption of all items, implying both short-run and long-run effects. Comparatively, disability highly hits households from rural areas.

Assessing fecal contamination from human and environmental sources using Escherichia coli as an indicator in rural eastern Ethiopian households - a study from the EXCAM project.

Enteric pathogens are a leading causes of diarrheal deaths in low- and middle-income countries. The Exposure Assessment of Campylobacter Infections in Rural Ethiopia (EXCAM) project, aims to identify potential sources of bacteria in the genus Campylobacter and, more generally, fecal contamination of infants during the first 1.5 years of life using Escherichia coli as indicator. A total of 1,310 samples (i.e., hand rinses from the infant, sibling and mother, drinking and bathing water, food and fomite provided to or touched by the infants, areola swabs, breast milk and soil) were collected from 76 households between May 2021 and June 2022. Samples were assigned to two groups by infant age: TP1 (time point 1), infants between 4 and 8 months of age, and TP2, infants between 11 and 15 months of age. Fluorometric and semi-selective colorimetric approaches were used to quantify E. coli in the field samples. Overall, E. coli was ubiquitous within selected households (56.8% across the study). E. coli was more frequently detected than average (>53%) with high concentration (>2-log CFU) in soil (g) and per pair of hand, while the opposite trend (<33%; <1.5-log CFU) was observed in food provided to the infants (g or ml), per areola, and breast milk (ml; P<0.01). E. coli was frequently detected in fomites touched by the infants, drinking and bathing water (>51%), but at low concentration (<1.5-log CFU). Correlation analysis between E. coli concentration in different sample types suggested that the mother's hands might play a key role in the transmission of E. coli between the environment (i.e., soil, bathing water and fomites) and other family members (i.e., infant and sibling; P<0.04; r2>0.3). Using E. coli as surrogate, our study identified mother (hands and areola) as reservoirs likely to be involved in frequent transmission of fecal contaminants to infants within rural Ethiopian households.

Analysis of heavy metals and minerals in edible vegetable oils produced and marketed in Gondar City, Northwest Ethiopia

IntroductionNowadays, food safety is regarded as one of the most critical global public health issues. Edible oil, a key ingredient in food processing, is widely used and consumed in every Ethiopian household. However, its safety is often overlooked. Currently, edible oil is produced in Ethiopia from small-scale operations to large industrial levels, as well as imported from other countries.ObjectiveThis study aimed to determine the levels of heavy metals and essential minerals in edible vegetable oils produced and marketed in Gondar City, Northwest Ethiopia.MethodsA laboratory-based cross-sectional study was conducted from May to July 2021 in Gondar City. Seventeen edible oil samples were collected using simple random sampling techniques. Heavy metal content was determined using an atomic absorption spectrophotometer with the standard procedures and techniques after microwave digestion. The efficiency and validity of the method used were evaluated by determining the limit of detection (LOD), the limit of quantification (LOQ), accuracy, and precision. The collected data were entered into Microsoft Excel and transported to Stata for analysis.ResultA total of seventeen vegetable oil samples were analyzed. The accuracy of the method was evaluated by recovery studies, which ranged from 81 to 115%, and the relative standard deviations were found to be below 15%. The concentrations of Zn, Cu, Fe, Cd, and Pb were in the range of 0.07 to 0.8 mg/l, 0.002 to 0.06 mg/l, 0.01 to 0.8 mg/l, 0.08 to 0.18 mg/l, and 0.003 to 0.27 mg/l, respectively. In general, the lead and cadmium content was higher than other metals in some of the investigated edible vegetable oils. Most values fell within the permissible quality limits for edibility as prescribed by the World Health Organization (WHO) and the National Agency for Food and Drug Administration and Control (NAFDAC). However, the levels of Pb and Cd exceeded the reference levels in some locally produced vegetable oils.ConclusionTo address the exceeded levels of heavy metals, it is imperative to implement more careful handling, processing of raw materials, and filtering practices. Producers and marketers should take the necessary precautions to prevent contamination. Strict regulatory control from responsible bodies and stakeholders is recommended to ensure the safety and metal contents of vegetable oils originating from the study area.

Drought shocks and labour reallocation in rural Africa: evidence from Ethiopia

Abstract We study how rural households in Ethiopia adapt to droughts through labour reallocation. Using three waves of panel data and exploiting spatio-temporal variations in drought exposure, we find that households reduce on-farm work and increase off-farm self-employment in response to both short-term and persistent droughts, without abandoning family farming. Diversification into off-farm activities is driven by drought-related productivity declines in agriculture and contributes to consumption smoothing and food security. Households with better access to financial services are more likely to reallocate labour off-farm. Our results highlight the importance of strengthening the rural non-farm economy to enhance rural households’ climate resilience.

Analysis of energy supply, energy policies, and the final energy end-use consumption of the residential sector in Ethiopia

The residential sector in Ethiopia heavily relies on biomass for cooking, using inefficient cookstoves. In order to assess energy policies and decision-making for better economic development, it is essential to have final energy consumption by end-use. However, there is a lack of readily accessible data on residential energy end-use. Our study fills this gap by using data collected from surveys of 590 urban households in Ethiopia, estimating their energy end-use consumption, and analyzing their determinants. The annual final energy consumption per household is about 7.2 MWh, where 90 % is for cooking, baking, tea/coffee boiling end-uses, and only 2.3 % for lighting. The analysis reveals that income has the strongest effect on energy consumption for Injera baking and on miscellaneous end-uses, both directly and partly indirectly as a mediating variable. The study highlights the importance of end-use consumption data to plan energy efficiency, mix technology options, and make suitable policy interventions.

Spatial variations and determinants of receiving cash and food from the productive safety net program among households in Ethiopia: spatial clustering and multilevel analyses.

There is a global struggle with food insecurity and undernutrition among women, and Ethiopia has been particularly impacted by these issues. To address this challenge, Ethiopia has implemented a cash and food safety net program over many years. However, there is limited information available regarding the program's factors and spatial distributions, with no recent national evidence from Ethiopia. Consequently, the objective of this study is to investigate the spatial clustering and determinants of the Productive Safety Net Program (PSNP) in Ethiopia. This study utilized data from the Ethiopian Demographic and Health Survey. The sample included 8,570 weighted households. Given the hierarchical nature of the data, a multilevel logistic regression model was employed to identify factors influencing the outcome variable. Geographical clusters of individuals receiving assistance from the PSNP were examined using SaTScan software and the Bernoulli model, along with the Kulldorff methods. The nationwide distribution of the program beneficiaries was visualized using ArcGIS version 10.8. Variables were considered statistically significant if their p-value was <0.05. The overall coverage of the PSNP was 13.54% [95% confidence interval (CI): 12.84-14.29] among households in Ethiopia. The study revealed that people from richer households adjusted odds ratio [AOR = 0.46 (95% CI: (0.33, 0.64))], those from the richest households [AOR = 0.26 (95% CI:(0.17,0.41))], and those with educated household heads [AOR = 0.45 (95% CI:(0.28, 0.71))] have a lower likelihood of utilizing the PSNP compared to their counterparts. Conversely, a unit increase in household heads' age [AOR = 1.02 (95% CI:(1.01, 1.02))] and family size [AOR = 1.05 (95% CI:1.021.10)] showed a higher likelihood of joining the PSNP, respectively. Household heads who have joined community health insurance [AOR = 3.21 (95% CI:(2.58, 4.01))] had significantly higher odds of being included in the PSNP than their counterparts. Heads who belong to a community with a high poverty level [AOR = 2.68 (95% CI:(1.51, 4.79))] and community health insurance [AOR = 2.49 (95% CI:(1.51, 4.11))] showed more inclination to utilize the PSNP compared to their counterparts. PSNP was judged to have a low implementation status based on the findings gathered regarding it. We found factors such as age, sex, region, wealth, education, family size, regions, and health insurance to be statistically significant. Therefore, encouraging women empowerment, community-based awareness creation, and coordination with regional states is advisable.

Food Security Status of Female-Headed Households in Ethiopia

Abstract This article aims to explore the food security status of female-headed households and its determinant factors in Sidama Regional State, Ethiopia. To that end, the article used both quantitative and qualitative research approaches, as well as multistage sampling techniques and blending both descriptive and econometric statistics during data analysis. The findings depicted that 40.97% of female-head households were food secure, 15.97% of female headed households were mildly food insecure, 18.75% were highly food insecure, and 24.31% were severely food insecure. The study also involves demographic, socioeconomic, and institutional factors that had a substantial impact on food security in female-headed households in the study area. Finally, the study advised that rural female-headed families receive special care and support in order to improve their livelihoods and food security status, and that livestock holding and cultivated land size play an important role in boosting food security.

Correction: Limited access to improved drinking water, unimproved drinking water, and toilet facilities among households in Ethiopia: Spatial and mixed effect analysis

Correction: Limited access to improved drinking water, unimproved drinking water, and toilet facilities among households in Ethiopia: Spatial and mixed effect analysis

Shocks and Stability of Risk and Time Preferences among Poor Rural Households in Ethiopia

Abstract This paper examines the effects of shocks on temporal stability of risk and time preferences of rural households within a developing country context characterized by frequent droughts, chronic food insecurity, and low levels of education. Leveraging a three-wave large and diverse household panel data that elicits preferences every two years for more than 6,500 individuals from over 5,600 sample rural households in Ethiopia, we analyze the effects of droughts (self-reported) and rainfall shortfalls on household risk and time preferences. Our findings show that households become more risk-averse and impatient after experiencing drought and rainfall shocks; the change in risk preferences is more notable among households that experience recurrent droughts and multiple covariate shocks during the same period.

Determinants of urban households in the diversification of livelihood activities: The case of Wolaita zone in southern Ethiopia

Diversification of Livelihood Activities (DLA) is indeed crucial for populous countries like Ethiopia, where it serves as a strategy to mitigate food insecurity. Despite its significance, empirical studies focusing on DLA among urban households in Ethiopia are relatively scarce. Therefore, this study examines factors affecting urban households' participation in the DLA in selected towns of the Wolaita zone. The study used both primary and secondary data. A total of 310 sample respondents from three town administrations in the Wolaita zone: Areka, Boditi, and Sodo, were selected using a multi-phase sampling technique. The study used a survey questionnaire, Key Informant Interviews, Focus Group Discussions, and observations as methods for primary data collection. The collected data was analyzed using descriptive and inferential statistics. The results revealed that among the sampled respondents, 23.9 %, 28.4 %, and 33.2 % depend on on-farm, on-farm + non-farm, non-farm + off-farm activities, respectively, while the remaining 14.5 % diversify their livelihood activities through combinations of on-farm + non-farm + off-farm Livelihood Diversification Activities (LDA). The Multinomial Logot (MNL) model result shows that the participation of LDA in the study areas was positively and negatively determined by cooperative membership, development agent training, gender, education, home ownership, rural connections, household income, and technical skills that were found to be statistically significant at 1 %, 5 %, and 10 %. Therefore, the government should prioritize empowering the diversification of livelihood activities and develop policies and programs that support urban households’ livelihoods, with a specific focus on promoting off-farm and non-farm endeavors.

Aspiring to more? New evidence on the effect of light-touch aspirations interventions in rural Ethiopia

ABSTRACT A growing literature in economics has analysed the effects of psychological interventions designed to boost individual aspirations as a strategy to increase households’ propensity to make long-term investments and thus reduce poverty. This paper reports on a randomised controlled trial evaluating a short video-based intervention designed to increase aspirations of adults in poor rural Ethiopian households who are beneficiaries of the Productive Safety Net Program, the main government safety net program in Ethiopia. Evidence from a sample of 5,258 adults from 3,220 households is consistent with the hypothesis that there are no significant effects of the intervention on self-reported aspirations for the household, educational investment in children, or savings nine months post-treatment. This suggests that the effect of light-touch aspirations treatments for extremely poor adults may be limited in this context.

Behavior change intervention to sustain iodide salt utilization in households in Ethiopia and study of the effect of iodine status on the growth of young children: community trial.

Monitoring systems in a broad range of countries are a notable effort to eliminate iodine deficiency disorders (IDDs). This study aimed to gather data on the amount of iodide present in table salt and how household consumption patterns affect children's iodine status and its effect on their growth. A single treatment arm community trial study design was designed. Lower community units (LCUs) were chosen at random from districts assigned either intervention or control. From a list of LCUs, 834 mothers and their paired children were chosen randomly. Urine and table salt samples were collected and examined in the national food and nutrition laboratory. The deference between arms was determined using a t test, and the generalized estimating equation (GEE) was used to forecast parameters. The mean iodide content in the table salt samples of 164 (98.1%) was 45.3 ppm and a standard deviation (SD) of 14.87, which were above or equal to the recommended parts per million (ppm). Between the baseline survey and the end-line survey, the mean urine iodine concentration (UIC) was 107.7 µg/L (+/- 8.64 SD) and 260.9 µg/L (+/- 149 SD). Children's urine iodine excretion (UIE) had inadequate iodine in 127 (15.2%) children at the beginning of the study, but only 11 (2.6%) of the intervention group still had inadequate iodine at the end. The childrens' mean height (Ht) was 83.1 cm (+/-10 SD) at baseline and 136.4 cm (+/-14 SD) at the end of the survey. Mothers knew a lot (72%) about adding iodized salt to food at the end of cooking, and 183 (21.9%) of them did so regularly and purposefully. A total of 40.5% of children in the intervention group had stunted growth at baseline, which decreased to 15.1% at the end of the study but increased in the control group to 51.1%. The mean difference (MD) of urine iodine concentration (UIC) between intervention and control groups was 97.56 µg/L, with a standard error (SE) of 9.83 (p=0.001). The end-line Ht of children in the intervention group was increased by 7.93 cm (β=7.93, p=0.005) compared to the control group. Our research has shown that mothers who embraced healthy eating habits had perceived improvements in both the iodine status and height growth of their children. In addition to managing and using iodine salt, it has also introduced options for other healthy eating habits that will also play a significant role in their children's future development. This sort of knowledge transfer intervention is essential for the sustainability of society's health. Therefore, this trial's implications revealed that the intervention group's iodine status and growth could essentially be improved while the control group continued to experience negative effects. ClinicalTrials.gov Identifier: NCT048460 1.

Co-existence of maternal overweight/obesity, child undernutrition, and anaemia among mother-child pairs in Ethiopia.

Ethiopia is currently known to be the most food-insecure country in sub-Saharan Africa, where childhood undernutrition remains endemic. While attention is increasingly being paid to childhood undernutrition in Ethiopia, a current surge of "triple burden of malnutrition" (TBM) has received less attention. The purpose of this study was to determine the prevalence of TBM and identify the associated factors in Ethiopia. Data were from the Ethiopian Demographic and Health Surveys (2005-2016) and a total of 20,994 mother-child pairs were examined in this study. The TBM was our primary outcome variable, which encompasses three types of nutritional problems-when a mother may be overweight/obese, while her child is stunted, wasted, or underweight plus has anaemia under the same roof. A multilevel logistic regression explored the individual- and community-level factors associated with TBM. Our study indicated that children under-five years of age were anaemic, stunted, wasted, and underweight [49.3% (95% CI: 48.7-49.9), 43.1% (95% CI: 42.4-43.7), 10.3% (95% CI: 9.9-10.7), and 27.6% (95% CI: 27.0-28.1)] respectively. The overall prevalence of TBM was 2.6% (95% CI: 2.39-2.83). Multilevel analyses revealed that TBM was more likely to occur among children aged 12-23 months (AOR: 2.54, 95% CI: 1.68-3.83), 24-35 months (AOR: 1.54, 95% CI: 1.03-2.29), children perceived by their mothers to be smaller than normal at birth (AOR: 1.94, 95% CI: 1.48-2.56), who experienced fever in the past 2 weeks (AOR: 1.58, 95% CI: 1.24-2.01), and lived in urban settings (AOR: 1.79, 95% CI: 1.13-2.86). Lower odds of TBM were reported among female children (AOR: 0.59, 95% CI: 0.47-0.72), and those who lived in rich households (AOR: 0.69: 95% CI: 0.49-0.98). TBM was found to be present in almost three percent of households in Ethiopia. Addressing the TBM through double-duty actions will be of critical importance in achieving malnutrition in all its forms in Ethiopia.

The spatial effects of the household's food insecurity levels in Ethiopia: by ordinal geo-additive model.

Food insecurity and vulnerability in Ethiopia are historical problems due to natural- and human-made disasters, which affect a wide range of areas at a higher magnitude with adverse effects on the overall health of households. In Ethiopia, the problem is wider with higher magnitude. Moreover, this geographical distribution of this challenge remains unexplored regarding the effects of cultures and shocks, despite previous case studies suggesting the effects of shocks and other factors. Hence, this study aims to assess the geographic distribution of corrected-food insecurity levels (FCSL) across zones and explore the comprehensive effects of diverse factors on each level of a household's food insecurity. This study analyzes three-term household-based panel data for years 2012, 2014, and 2016 with a total sample size of 11505 covering the all regional states of the country. An extended additive model, with empirical Bayes estimation by modeling both structured spatial effects using Markov random field or tensor product and unstructured effects using Gaussian, was adopted to assess the spatial distribution of FCSL across zones and to further explore the comprehensive effect of geographic, environmental, and socioeconomic factors on the locally adjusted measure. Despite a chronological decline, a substantial portion of Ethiopian households remains food insecure (25%) and vulnerable (27.08%). The Markov random field (MRF) model is the best fit based on GVC, revealing that 90.04% of the total variation is explained by the spatial effects. Most of the northern and south-western areas and south-east and north-west areas are hot spot zones of food insecurity and vulnerability in the country. Moreover, factors such as education, urbanization, having a job, fertilizer usage in cropping, sanitation, and farming livestock and crops have a significant influence on reducing a household's probability of being at higher food insecurity levels (insecurity and vulnerability), whereas shocks occurrence and small land size ownership have worsened it. Chronically food insecure zones showed a strong cluster in the northern and south-western areas of the country, even though higher levels of household food insecurity in Ethiopia have shown a declining trend over the years. Therefore, in these areas, interventions addressing spatial structure factors, particularly urbanization, education, early marriage control, and job creation, along with controlling conflict and drought effect by food aid and selected coping strategies, and performing integrated farming by conserving land and the environment of zones can help to reduce a household's probability of being at higher food insecurity levels.