Spatial distribution and associated factors of underweight in Ethiopia: An analysis of Ethiopian demographic and health survey, 2016

Employing supervised machine learning algorithms for classification and prediction of anemia among youth girls in Ethiopia

In developing countries, one-quarter of young women have suffered from anemia. However, the available studies in Ethiopia have been usually used the traditional stastical methods. Therefore, this study aimed to employ multiple machine learning algorithms to identify the most effective model for the prediction of anemia among youth girls in Ethiopia. A total of 5642 weighted samples of young girls from the 2016 Ethiopian Demographic and Health Survey dataset were utilized. The data underwent preprocessing, with 80% of the observations used for training the model and 20% for testing. Eight machine learning algorithms were employed to build and compare models. The model performance was assessed using evaluation metrics in Python software. Various data balancing techniques were applied, and the Boruta algorithm was used to select the most relevant features. Besides, association rule mining was conducted using the Apriori algorithm in R software. The random forest classifier with an AUC value of 82% outperformed in predicting anemia among all the tested classifiers. Region, poor wealth index, no formal education, unimproved toilet facility, rural residence, not used contraceptive method, religion, age, no media exposure, occupation, and having more than 5 family size were the top attributes to predict anemia. Association rule mining was identified the top seven best rules that most frequently associated with anemia. The random forest classifier is the best for predicting anemia. Therefore, making it potentially valuable as decision-support tools for the relevant stakeholders and giving emphasis for the identified predictors could be an important intervention to halt anemia among youth girls.

Decreased Weight-for-Age Associated with Mass Deworming among Young Ethiopian Schoolchildren in Jimma Town, Southwest Ethiopia: A School-Based Cross-Sectional Study

School-based mass deworming programs are implemented to reduce soil-transmitted helminth (STH) infection prevalence and intensity among school-aged children. However, previous studies debate the impact of deworming beyond the removal of worms. Hence, this study aimed to examine the effect of mass deworming on nutritional indicators in young Ethiopian schoolchildren. A school-based cross-sectional study was conducted among 1,036 participants from April to May 2020 in Jimma Town, Ethiopia. An interviewer-based questionnaire was administered to the children to gather data on sociodemographic, lifestyle variables, and deworming status. Anthropometric measurements were taken for the height and weight of the children. Stool samples were collected and analyzed for STH infection using direct wet mount microscopy and the Kato-Katz technique. In multivariate logistic regression analysis, deworming within the past 6 months or 1 year was not significantly associated with underweight, stunting, and thinning. However, deworming within the past year was significantly associated with decreased weight-for-age z-score (adjusted mean difference = -0.245; 95% CI: -0.413 to -0.076; P = 0.004). Deworming in the past 6 months demonstrated a nonsignificant trend toward increased stunting (adjusted odds ratio = 1.258; 95% CI: 0.923-1.714; P = 0.145). This study provides evidence that deworming in the past 6 months or 1 year was not significantly associated with underweight, stunting, and thinning. However, deworming within the past year was associated with a significantly decreased weight-for-age z-score in young Ethiopian schoolchildren of Jimma Town after adjustment for confounding variables.

Prevalence and associated factors of stunting and thinness among adolescent Sudanese schoolchildren: a cross-sectional study

BACKGROUND

Malnutrition among adolescents is a considerable health problem worldwide. There are scarce data on undernutrition among adolescents in Sudan.

METHODS

A cross‑sectional study was conducted to investigate the prevalence and associated factors of stunting and thinness among adolescent schoolchildren in northern Sudan. The questionnaires were used to collect information on sociodemographics. Weights and heights were measured and the height-for-age and body mass index-for-age cut-offs recommended by the WHO were applied, followed by logistic regression analysis.

RESULTS

Of 384 enrolled adolescents, 202 (52.6%) were females and 182 (47.4%) were males. The median (IQR) age of these adolescents was 15.1 (14.0‒16.3) y. Seventy-six (19.8%) and 52 (15.4%) adolescents had stunting and thinness, respectively, and 15 (3.9%) had both stunting and thinness. Multivariate analysis showed that increased age (adjusted OR [AOR]=1.30, 95% CI 1.08 to 1.57) and male gender (AOR=5.82, 95% CI 3.11 to 10.91) were associated with stunting. Male gender (AOR=2.08, 95% CI 1.14 to 3.82) and smoking/tobacco snuff (AOR=2.61, 95% CI 1.07 to 6.36) were associated with thinness.

CONCLUSIONS

The findings of the current study are that both stunting and thinness are important health problems, especially among boys, older participants and smokers.

Knowledge, attitudes and practices of patients with chronic pharyngitis toward laryngopharyngeal reflux in Suzhou, China

BACKGROUND

This study aimed to investigate the knowledge, attitudes and practices (KAP) of patients with chronic pharyngitis in Suzhou, China toward laryngopharyngeal reflux (LPR).

METHODS

This cross-sectional study was conducted in patients with chronic pharyngitis in Suzhou, China at the otolaryngology outpatient clinic of the First Affiliated Hospital of Soochow University between November, 2022, and May, 2023. Data was collected through a self-designed online questionnaire encompassing the sociodemographic characteristics and three dimensions of KAP. The questionnaire was administered using SoJump, and data were exported from this platform. Subsequently, statistical analysis, including Structural Equation Modeling, was performed using SPSS 22 software to evaluate the KAP scores.

RESULTS

A total of 487 valid questionnaires were collected, with 275 (56.35%) female patients. The mean score of KAP were 4.76 ± 2.93 (possible range: 0-11), 33.10 ± 4.46 (possible range: 8-40), 31.29 ± 6.04 (possible range: 8-40), respectively. Pearson's correlation analysis showed significant positive correlations between knowledge and attitude dimensions (r = 0.413, P < 0.001), knowledge and practice dimensions (r = 0.355, P < 0.001), and attitude and practice dimensions (r = 0.481, P < 0.001). Structural equation modeling revealed that education exhibited positive effect on knowledge (β = 0.476, P < 0.001) and attitude (β = 0.600, P < 0.001), and having family history of chronic pharyngitis showed positive effect on knowledge (β = 0.580, P = 0.047), experienced with reflux symptoms showed positive effect on knowledge (β = 0.838, P = 0.001) and attitude (β = 0.631, P = 0.085). Moreover, knowledge showed positive effect on attitude (β = 0.555, P < 0.001) and practice (β = 0.351, P < 0.001). Attitude, in turn, showed positive effect on practice (β = 0.511, P < 0.001).

CONCLUSION

Patients with chronic pharyngitis had inadequate knowledge, positive attitudes and suboptimal practices toward LPR. Education, family history of chronic pharyngitis, experienced with reflux symptoms might have effect on their KAP.

Spatial multilevel analysis of age at death of under-5 children and associated determinants: EDHS 2000-2016

OBJECTIVE

This study examines trends, spatial distribution and determinants of age at death of under-5 children in Ethiopia.

DESIGN

This study used secondary data from the 2000, 2005, 2011 and 2016 Ethiopian Demographic and Health Surveys. A multilevel partial ordinal logistic regression model was used to assess the effects of variables on the age at death of children under 5 years.

SETTING

Ethiopia.

PARTICIPANTS

The final analysis included a sample of 3997 deaths of newborns, infants and toddlers.

RESULTS

A total of 1508, 1054, 830 and 605 deaths of under-5 children were recorded in the 2000, 2005, 2011 and 2016 survey years, respectively. The death of newborns, infants and toddlers showed a significant decrease from 2000 to 2016, with reductions of 33.3% to 17.4%, 42.4% to 12.6% and 45.2% to 11.6%, respectively. The analysis using Global Moran's Index revealed significant spatial autocorrelation in mortality for each survey year (p<0.05). The intraclass correlation of age at death of under-5 children within regions was substantial. Furthermore, the odds of newborn deaths among under-5 children (OR: 0.638, 95% CI: 0.535, 0.759) were lower for those delivered in health institutions compared with those delivered at home.

CONCLUSIONS

Throughout the survey years from 2000 to 2016, newborn children had higher mortality rates compared with infants and toddlers, and significant spatial variations were observed across different zones in Ethiopia. Factors such as child's sex, age of mother, religion, birth size, sex of household head, place of delivery, birth type, antenatal care, wealth index, spatial autocovariate, Demographic and Health Survey year, place of residence and region were found to be significant in influencing the death of under-5 children in Ethiopia. Overall, there has been a decreasing trend in the proportion of under-5 child mortality over the four survey years in Ethiopia.

Spatial distribution, magnitude, and predictors of high fertility status among reproductive age women in Ethiopia: Further analysis of 2016 Ethiopia Demographic and Health Survey

BACKGROUND

Women's health and welfare, as well as the survival of their children, are adversely affected by high fertility rates in developing countries. The fertility rate in Ethiopia has been high for a long time, with some pockets still showing poor improvement. Thus, the current study is aimed to assess the spatial distribution and its predictors of high fertility status in Ethiopia.

METHODS

Secondary data analysis was used using the 2016 Ethiopian Demographic and Health Survey (EDHS). The Bernoulli model was used by applying Kulldorff methods using the SaTScan software to analyze the purely spatial clusters of high fertility status. ArcGIS version 10.8 was used to visualize the distribution of high fertility status across the country. Mixed-effect logistic regression analysis was also used to identify the predictors of high fertility.

RESULT

High fertility among reproductive-age women had spatial variation across the country. In this study, a higher proportion of fertility occurred in Somali region, Southeastern part of Oromia region, and Northeastern part of SNNPR. About 45.33% (confidence interval: (44.32, 46.33) of reproductive-age women had high fertility. Education; no formal (aOR: 13.12, 95% CI: 9.27, 18.58) and primary (aOR: 5.51, 95% CI: 3.88, 7.79), religion; Muslim (aOR: 1.52, 95% CI: 1.28, 1.81) and Protestant (aOR: 1.48, 95% CI: 1.23, 1.78), age at first birth (aOR: 2.94, 95% CI: 2.61, 3.31), age at first sex (aOR: 1.70, 95% CI: 1.49, 1.93), rural resident (aOR: 3.76, 95% CI: 2.85, 4.94) were predictors of high fertility in Ethiopia.

CONCLUSION

The spatial pattern of high fertility status in Ethiopia is clustered. Hotspot areas of a problem were located in Somali, Central Afar, Northeastern part of SNNPR, and Southeastern part of Oromia region. Therefore, designing a hotspot area-based interventional plan could help to reduce high fertility. Moreover, much is needed to be done among rural residents, reducing early sexual initiations and early age at first birth, and enhancing women's education. All the concerned bodies including the kebele administration, religious leaders, and community leaders should be in a position to ensure the practicability of the legal age of marriage.

Spatial distribution and associated factors of poor tetanus toxoid immunization among pregnant women in Ethiopia: spatial and multilevel analysis

Background

Neonatal mortality from tetanus can be reduced by 94% when pregnant women receive at least two doses of tetanus toxoid. In Ethiopia, immunization programs are suboptimal despite their importance. Therefore, the aim of this study was to examine the geographic distribution and associated factors of poor tetanus toxoid (TT) immunization among pregnant women in Ethiopia.

Methods

Secondary data analysis was used using the 2016 Ethiopian Demographic and Health Survey (EDHS). ArcGIS version 10.8 statistical software was used to explore the spatial distribution of poor TT immunization and SaTScan version 9.6 software was used to identify significant hotspot areas of poor TT immunization. For associated factors, a multilevel binary logistic regression model was fitted using STATA version 14 software. In the multivariable multilevel analysis, adjusted OR (AOR) with 95% CI was reported to reveal significantly associated factors of poor TT immunization.

Result

In Ethiopia, the spatial distribution of poor tetanus toxoid immunization was clustered with Global Moran's I = 0.59 at p-value of <0.0001. The highest poor TT immunization clusters were observed in the East and South Tigray, the central part of Amhara, West Afar, East Somali, and West Gambella. Pregnant women with no Antenatal care (ANC) visits [Adjusted Odds Ratio (aOR) = 10.46, 95% CI: (8.82, 12.41))], pregnant women with 1-3 ANC visits [aOR = 1.51, 95% CI: (1.31, 1.73)], media exposure [aOR = 1.45, 95% CI: (1.26, 1.67)], poor wealth index [aOR = 1.22; 95% CI: (1.03, 1.45)], middle wealth index [aOR = 1.23; 95% CI: (1.03, 1.47)], family planning use [aOR = 1.28; 95% CI: (1.11, 1.57)] and community level education [aOR = 1.43, 95% CI: (1.14, 1.80)] were significantly associated with poor tetanus toxoid immunization.

Conclusion

Poor tetanus toxoid immunization among pregnant women varies in Ethiopia. It was highest in East and South Tigray, the central part of Amhara, West Afar, East Somali, and West Gambella. Therefore, public health programs should design targeted interventions in identified hot spots to improve tetanus toxoid immunization. Health programmers should be promoting optimal ANC visits, women's education, and family planning use.

Feature selection and association rule learning identify risk factors of malnutrition among Ethiopian schoolchildren

Introduction

Previous studies have sought to identify risk factors for malnutrition in populations of schoolchildren, depending on traditional logistic regression methods. However, holistic machine learning (ML) approaches are emerging that may provide a more comprehensive analysis of risk factors.

Methods

This study employed feature selection and association rule learning ML methods in conjunction with logistic regression on epidemiological survey data from 1,036 Ethiopian school children. Our first analysis used the entire dataset and then we reran this analysis on age, residence, and sex population subsets.

Results

Both logistic regression and ML methods identified older childhood age as a significant risk factor, while females and vaccinated individuals showed reduced odds of stunting. Our machine learning analyses provided additional insights into the data, as feature selection identified that age, school latrine cleanliness, large family size, and nail trimming habits were significant risk factors for stunting, underweight, and thinness. Association rule learning revealed an association between co-occurring hygiene and socio-economical variables with malnutrition that was otherwise missed using traditional statistical methods.

Discussion

Our analysis supports the benefit of integrating feature selection methods, association rules learning techniques, and logistic regression to identify comprehensive risk factors associated with malnutrition in young children.

Seasonality and predictors of childhood stunting and wasting in drought-prone areas in Ethiopia: a cohort study

BACKGROUND AND OBJECTIVES

Over centuries, Ethiopia has experienced severe famines and periods of serious drought, and malnutrition remains a major public health problem. The aims of this study were to estimate seasonal variations in child stunting and wasting, and identify factors associated with both forms of child malnutrition in drought-prone areas.

METHODS

This cohort study was conducted among a random sample of 909 children in rural southern Ethiopia. The same children were followed for 1 year (2017-2018) with quarterly repeated measurements of their outcomes: height-for-age and weight-for-height indices (Z-scores). Linear regression models were used to analyse the association between both outcomes and baseline factors (eg, household participation in a social safety net programme and water access) and some time-varying factors (eg, household food insecurity).

RESULTS

Child wasting rates varied with seasonal household food insecurity (ᵪ² _trend = 15.9, p=0.001), but stunting rates did not. Household participation in a social safety net programme was associated with decreased stunting (p=0.001) and wasting (p=0.002). In addition to its association with decreased wasting (p=0.001), protected drinking water access enhanced the association between household participation in a social safety net programme and decreased stunting (p=0.009). Absence of a household latrine (p=0.011), lower maternal education level (p=0.001), larger family size (p=0.004) and lack of non-farming income (p=0.002) were associated with increased child stunting.

CONCLUSIONS

Seasonal household food insecurity was associated with child undernutrition in rural Ethiopia. Strengthening community-based food security programmes, such as the Ethiopian social safety net programme, could help to reduce child undernutrition in drought-prone areas. Improving clean water access and sanitation could also decrease child undernutrition.Key terms: Z-scores; Social safety net program; Water access.

Unpacking principles of resilience mainstreamed in Ethiopia's local urban spatial planning documents: Practices from Kombolcha, an urbanizing secondary city

Adopting and enforcing redundancy, diversity, robustness, and integration principles are required to create spatially resilient cities. However, no studies have demonstrated their significance and application to local urban spatial planning legal frameworks (policy documents) and plans. Therefore, this study aims to fill this gap through an ex-ante review of six Ethiopian spatial planning policy documents: the Urban Development Policy (UDP), the Urban Planning Proclamation (UPP), the Structure Plan Manual (SPM), the Urban Plan Preparation and Implementation Strategy (UPPIS), and the first and second Growth and Transformation Plans (GTP I and II). Besides, the paper undertook post-ante evaluations of the 2001 Development Plan (DP), 2011 Structure Plan (SP), and the 2020 existing land use (ELU) of Kombolcha, a secondary city located in the South Wollo Zone of Amhara National Regional State, Ethiopia. Site observations supplemented the desk-based policy evaluation, Google Earth images, and data gathered from twenty-three purposefully selected key informants. NVivo 12 plus software aided the content analysis, where codes and categories were created based on the characteristics, and respective scores/coefficients were recorded. The findings revealed inconsistencies in the principles' mainstreaming with integration was well assimilated into the policy documents, receiving a score of 67.22, followed by redundancy, a value of 54.21. The tally for diversity and robustness were 44.84 and 31.83, respectively. Concerning policy-specific review, GTP I and II received the highest values of 54.28 and 57.74, respectively. However, UPPIS got the lowest with 18.50. Despite the plans' optimistic visions of addressing hazards and population growth-induced development pressures, their practical implementation had been hampered by the dominance of residential and manufacturing land-uses, haphazard block arrangements, and the municipality's limited ability to implement the proposals. The study, hence, necessitated capacity-building activities to improve local governments' spatial plan implementation capacities. The active participation of stakeholders and institutional collaboration also need further attention from all tiers of government.

Maternal anemia and baby birth size mediate the association between short birth interval and under-five undernutrition in Ethiopia: a generalized structural equation modeling approach

Background

Studies assessing the association between short birth interval, a birth-to-birth interval of less than 33 months, and under-five undernutrition have produced inconclusive results. This study aimed to assess the relationship between short birth interval and outcomes of stunting, underweight, and wasting among children aged under-five in Ethiopia, and potential mediation of any associations by maternal anemia and baby birth size.

Method

Data from the 2016 Ethiopia Demographic and Health Survey (EDHS) was used. Stunting, wasting, and underweight among children aged under-five were outcome variables. Generalized Structural Equation Modeling (GSEM) was used to examine associations between short birth interval and outcomes, and to assess hypothesized mediation by maternal anemia and baby birth size.

Results

Significant associations between short birth interval and stunting (AOR = 1.49; 95% CI = 1.35, 1.66) and underweight (AOR = 1.43; 95% CI = 1.28, 1.61) were found. There was no observed association between short birth interval and wasting (AOR = 1.05; 95% CI = 0.90, 1.23). Maternal anemia and baby birth size had a significant partial mediation effect on the association between short birth interval and stunting (the coefficient reduced from β = 0.337, p < 0.001 to β = 0.286, p < 0.001) and underweight (the coefficient reduced from β = 0.449, p < 0.001 to β = 0.338, p < 0.001). Maternal anemia and baby birth size mediated 4.2% and 4.6% of the total effect of short birth interval on stunting and underweight, respectively.

Conclusion

Maternal anemia and baby birth size were identified as mediators of the association between short birth interval and under-five undernutrition status. Policies and programs targeting the reduction of under-five undernutrition should integrate strategies to reduce maternal anemia and small baby birth size in addition to short birth interval.

Exploring Spatial Variations and Determinants of Dietary Diversity Among Children in Ethiopia: Spatial and Multilevel Analysis Using EDHS (2011-2016)

Introduction

Dietary diversity has a significant impact on children’s nutritional health. For developing and implementing interventions, it is critical to understand the regional distribution of dietary diversity and underlying factors. However, the application of spatial techniques in dietary studies has not been well documented. The study’s goal was to look into the regional variances and factors that influence children’s dietary diversity. Further, we have discussed the spatial correlation of dietary diversity with nutritional status.

Methods

Data from the National Demographic and Health Survey were used during analyses. This work evaluated the overall dietary diversity of children aged 6–23 months based on the 2017 WHO and UNICEF classification of minimum dietary diversity (MDD). The Local Anselin Moran’s I was estimated to look into the regional variation of dietary diversity and hotspot and cold spot areas. Further, multivariate multilevel logistic regression was used for factor analyses.

Results

Overall, only 13.3% (95% CI: 10.2–14.7%) of children in 2011 and 24% (95% CI: 15.5–26.5%) in 2016 achieved MDD. We identified statistically significant clusters of high inadequate dietary diversity (hotspots) in the districts of northern Ethiopia, notably in the Amhara, Tigray, and Afar regions, and clusters of low inadequate dietary diversity (cold spots) in the country’s central and western regions. In both studies, the frequency of dietary diversity was significantly higher among older children, those who had media exposure, and mothers and fathers who had received formal education.

Conclusion

According to our findings, the MDD of children in Ethiopia, as measured by WHO dietary assessment, slightly increased from 2011 to 2016. The dietary diversity of children was distributed non-randomly in different districts across regions of Ethiopia. Localized intervention and preventative methods to improve dietary patterns and culture can be developed using existing socio-demographic factors and districts with a larger distribution of inadequate dietary diversity.

Factors Associated with Numbers of Antenatal Care Visits in Rural Ethiopia

INTRODUCTION

Antenatal care (ANC) is a medical care and procedure carried out for pregnant women. Data on ANC visits can help policymakers show gaps in service provision. Therefore, this study assessed the factors associated with the number of ANC visits among women in rural Ethiopia.

METHODS

We included a total of 6611 women who gave birth within 5 years preceding the survey from the 2016 Ethiopian Demographic and Health Survey. A multi-level negative binomial regression analysis was employed to consider the hierarchical nature of the data. In the multivariable analysis, variables with a p-value <0.05 were considered to be significantly associated with the number of ANC visits.

RESULTS

Overall, 27.3% (95% CI: 14.63, 15.76) of women had at least four ANC visits during pregnancy in rural Ethiopia. Among individual level factors, age group 25-29 years (adjusted incidence rate ratio (AIRR)=1.13,95% CI:1.02,1.26), household rich wealth status (AIRR=1.17, 95% CI:1.04,1.31), women's educational status (primary, AIRR=1.19,95% CI:1.08,1.32; secondary, AIRR= 1.30,95% CI:1.08,1.55; above secondary, AIRR=1.35, 95% CI:1.07,1.71), partner educational status (primary, AIRR=1.16, 95% CI:1.05,1.28; secondary, AIRR=1.22,95% CI:1.08,1.38), and autonomy to decision to their care (AIRR=1.25,95% CI:1.10,1.42) were positively associated factors whereas having a birth order of five or more (AIRR=0.80,95% CI: 0.69,0.94) was a negative associated with number of ANC visits. Among community-level variables, being in higher community level literacy (AIRR=1.35, 95% CI: 1.14, 1.59) and higher poverty level (AIRR=0.77, 95% CI: 0.64, 0.92) were significant factors with the number of ANC visits.

CONCLUSIONS AND RECOMMENDATIONS

Women's age, wealth status, women's educational status, partner educational status, autonomy to decision making in health care, and birth order were determinants of the number of ANC visits. Furthermore, poverty and literacy are also important factors at the community level. Addressing economic and educational interventions for rural women should be prioritized.