Bivariate binary analysis on composite index of anthropometric failure of under-five children and household wealth-index

Spatially-informed insights into early marriage and school dropout: An advanced bivariate binary multilevel model for understanding Ethiopia's context

The phenomenon of school dropout, which entails the failure to meet the minimum educational requirements, and early marriage, which involves the marital union of girls prior to attaining 18 years of age, constitute crucial issues in Ethiopia. This research endeavor sought to identify the determinants of these two outcomes. A weighted sample of 3091 girls who had experienced early marriage and school dropout was drawn from the 2016 Ethiopian Demographic and Health Survey (EDHS) dataset and analyzed utilizing bivariate binary multilevel models featuring spatial effects. The prevalence rates of early marriage and school dropout were 62.9 % and 75.4 %, respectively. We observed non-uniform spatial distributions of early marriage and school dropout across Ethiopia. The odds ratio of the association between early marriage and school dropout was 1.39, indicating a significant interdependence of these two outcomes. The probability of early marriage and school dropout was estimated to be 1.63 and 1.18 times higher, respectively, for girls hailing from rural areas and 1.70 and 1.23 times higher, respectively, for those classified in the poorest wealth index, as compared to their counterparts. Therefore, stakeholders and policymakers must prioritize hotspots, socio-economic, and demographic factors to achieve a meaningful reduction in the incidence of early marriage and school dropout.

Determinants of aggregate anthropometric failure among children under-five years in Ethiopia: Application of multilevel mixed-effects negative binomial regression modeling

Undernutrition significantly contributes to failure to thrive in children under five, with those experiencing multiple forms of malnutrition facing the highest risks of morbidity and mortality. Conventional markers such as stunting, wasting, and underweight have received much attention but are insufficient to identify multiple types of malnutrition, prompting the development of the Composite Index of Anthropometric Failure (CIAF) and the Composite Index of Severe Anthropometric Failure (CISAF) as an aggregate indicators. This study aimed to identify factors associated with CIAF and CISAF among Ethiopian children aged 0-59 months using data from the 2019 Ethiopia Mini Demographic and Health Survey. The study included a weighted sample of 5,259 children and used multilevel mixed-effects negative binomial regression modeling to identify determinants of CIAF and CISAF. The result showed higher incidence-rate ratio (IRR) of CIAF in male children (adjusted IRR = 1.27; 95% CI = 1.13-1.42), children aged 12-24 months (aIRR = 2.01, 95%CI: 1.63-2.48), and 24-59 months (aIRR = 2.36, 95%CI: 1.91-2.92), those from households with multiple under-five children (aIRR = 1.16, 95%CI: 1.01-1.33), poorer households (aIRR = 1.48; 95%CI: 1.02-2.15), and those who lived in houses with an earthen floor (aIRR = 1.37, 95%CI: 1.03-1.82). Similarly, the factors positively associated with CISAF among children aged 0-59 months were male children (aIRR = 1.47, 95% CI = 1.21-1.79), age group 6-11 months (aIRR = 2.30, 95%CI: 1.40-3.78), age group 12-24 months (aIRR = 3.76, 95%CI: 2.40-5.88), age group 25-59 months (aIRR = 4.23, 95%CI: 2.79-6.39), children from households living with two and more under-five children (aIRR = 1.27, 95%CI:1.01-1.59), and children from poorer households (aIRR = 1.93, 95% CI = 1.02-3.67). Children were more likely to suffer from multiple anthropometric failures if they were: aged 6-23 months, aged 24-59 months, male sex, living in households with multiple under-five children, and living in households with poor environments. These findings underscore the need to employ a wide range of strategies to effectively intervene in multiple anthropometric failures in under-five children.

Multilevel bivariate analysis of the association between high-risk fertility behaviors of birth and stunting with associated risk factors in Ethiopia

Introduction

Currently, the linkage between high-risk fertility behavior of birth and the occurrence of stunting among children under the age of 5 continues to be a significant public health problem in developing countries, including Ethiopia. This issue poses a threat to the health and overall wellbeing of under-five children. Thus, the main objective of this study was to examine the association between high-risk fertility behavior of birth and the stunting status of children and associated factors.

Methods

The data used for this study were extracted from the recent Ethiopian Mini Demographic and Health Survey data in 2019. A total weighted sample of 4,969 under-five children was included in this study, and the relevant data were extracted from those samples. The multilevel bivariate analysis was used to assess the association between high-risk fertility behavior of birth and the stunting status of under-five children in Ethiopia.

Results

It was found that, out of 4,997 under-five children, 24% of under-five children experienced stunting as a result of high-risk fertility behavior of birth. Our study also revealed an intra-class correlation of 0.2, indicating that 20% of the variability in both high-risk fertility behaviors of birth and stunting can be attributed to differences between communities. Furthermore, there was a statistically significant association between high-risk fertility behavior of birth and the stunting status of children under the age of 5 years [AOR = 8.5, 95% CI: (5.58, 18.70)]. Similarly, the stunting status of birth among boys was 1.36 times greater than the estimated odds of the stunting status of birth among girls [AOR = 1.36, 95% CI: (1.19, 1.55)].

Conclusion

This study found that there was a significant statistical association between high-risk fertility behavior of birth and stunting status of under-five children. Specifically, children born to mothers under 18 years and in households with high parity were identified as the main risk factors for child stunting. Furthermore, health-related education, improved access to maternal healthcare, and training interventions were associated with high-risk fertility behavior during birth and child stunting. The study suggests that regular health assessments and early interventions for infants born to mothers with high-risk reproductive characteristics are crucial to reducing the impact of child stunting under 5 years of age.

Impact of indoor Air Pollution on the Linear growth of children in Jimma, Ethiopia

BACKGROUND

Stunting in children is the term for reduced linear growth and development, which is frequently brought on by a persistently inadequate diet, recurrent infections and chronic diseases or poor health conditions. Apart from the classic covariates of stunting, which include diet and illness, the relative contribution of household air pollution to chronic nutrition conditions is least studied. Hence, this study is conducted to investigate the impact of household air pollution on the linear growth of under-five children in Jimma town, Ethiopia.

METHODS

A prospective cohort study was employed to collect data from 280 under-five children who lived in households using solid fuel (exposed group, n = 140) and clean fuel (unexposed group, n = 140). Height-for-age Z scores were compared in both groups over a 12-month follow-up period. The difference in differences estimators were used for comparison of changes in the height-for-age Z scores from baseline to end line in exposed and non-exposed groups. The independent effect of the use of solid fuels on height-for-age Z scores was analyzed through a multivariable linear regression model. Statistical Significances were declared at P < 0.05 and 95% CI level.

RESULTS

In an unadjusted model (Model 1), compared with the clean fuel type, the mean difference in the height-for-age Z score of children in households using solid fuel was lower by 0.54 (-0.54, 95% CI -0.97, -0.12, P = 0.011). The beta coefficient remained negative after adjusting for age and sex (Model 2 -0.543, 95% CI -1.373, -0.563) and sociodemographic variables (Model 3: -0.543, 95% CI -1.362, -0.575). In the final model (Model 4), which adjusted for wealth quantile, dietary practice, water, sanitation and hygiene status and household food insecurity access scale, the beta coefficient held the same and significant (beta: -0.543, 95% CI -1.357, -0.579, P < 0.001). Higher HAZ scores were observed among female child (β: = 0.48, 95%CI: 0.28, 0.69), Child with father attended higher education (β: = 0.304 95%CI: 0.304, 95% CI 0.19, 0.41) as compared to male gender and those who did not attend a formal education, respectively. In contrast, child living in households with poor hygiene practices had lower HAZ score (β: -0.226, 95% CI: -0.449, -0.003), P < 0.001.

CONCLUSIONS

Exposure to indoor air pollution was inversely related to linear growth. Furthermore, sex, educational status and hygiene were found relevant predictors of linear growth. In such a setting, there is a need to step up efforts to design and implement public education campaigns regarding the health risks associated with exposure to household air pollution. Promoting improvements to kitchen ventilation and the use of improved cooking stoves, which will help to mitigate the detrimental effects of indoor air pollution on child growth impairment and its long-term effects.

The role of dairy consumption in the relationship between wealth and early life physical growth in India: evidence from multiple national surveys

INTRODUCTION

Prevalence of undernutrition continues to be high in India and low household wealth is consistently associated with undernutrition. This association could be modified through improved dietary intake, including dairy consumption in young children. The beneficial effect of dairy on child growth has not been explored at a national level in India. The present analyses aimed to evaluate the direct and indirect (modifying association of household level per adult female equivalent milk and milk product consumption) associations between household wealth index on height for age (HAZ) and weight for age (WAZ) in 6-59 months old Indian children using data from of nationally representative surveys.

METHODS

Two triangulated datasets of two rounds of National Family Health Survey, (NFHS-3 and 4) and food expenditure (National Sample Survey, NSS61 and 68) surveys, were produced by statistical matching of households using Non-Iterative Bayesian Approach to Statistical Matching technique. A Directed Acyclic Graph was constructed to map the pathways in the relationship of household wealth with HAZ and WAZ based on literature. The direct association of wealth index and its indirect association through per adult female equivalent dairy consumption on HAZ and WAZ were estimated using separate path models for each round of the surveys.

RESULTS

Wealth index was directly associated with HAZ and WAZ in both the rounds, but the association decreased from NFHS-3 (βHAZ: 0.145; 95% CI: 0.129, 0.16) to NFHS-4 (βHAZ: 0.102; 95%CI: 0.093, 0.11). Adult female equivalent milk intake (increase of 10gm/day) was associated with higher HAZ (β_NFHS-3=0.001;95% CI: 0, 0.002; β_NFHS-4=0.002;95% CI: 0.002, 0.003) but had no association with WAZ. The indirect association of wealth with HAZ through dairy consumption was 2-fold higher in NFHS-4 compared to NFHS-3.

CONCLUSIONS

The analysis of triangulated survey data shows that household level per- adult female equivalent dairy consumption positively modified the association between wealth index and HAZ, suggesting that regular inclusion of milk and milk products in the diets of children from households across all wealth quintiles could improve linear growth in this population.

Undernutrition Among the Children from Different Social Groups in India: Prevalence, Determinants, and Transition Over Time (2005-2006 to 2019-2021)

Combating undernutrition among children under 5 years is presently an enormous challenge for India. The study aims to determine the prevalence of undernutrition by the Composite Index of Anthropometric Failure (CIAF) and the time-dependent significant determinants of undernutrition among children under 5 years from four recognized social groups, i.e., Scheduled Tribe (ST), Scheduled Caste (SC), Other Backward Class (OBC), and Others, or General group, between 2005-2006 and 2019-2021 in India. It also explains the transition in the probability of CIAF among ST, SC, OBC, and General children belonging to different socio-demographic, economic backgrounds, and geographic regions from 2005-2006 to 2015-2016, 2015-2016 to 2019-2021, and 2005-2006 to 2019-2021 in India. Time-dependent and time-independent logistic regression models are employed to identify the major determinants and predicted probabilities of CIAF, respectively, among four social groups. The predicted probabilities of CIAF among ST, SC, OBC, and General children belonging to various socio-demographic, economic backgrounds, and geographic regions are extracted from logistic regression models and represented graphically. The study outlines a higher prevalence of CIAF among ST children, followed by SC, OBC, and General children throughout the last 15 years. Since 2005-2006, the magnitude of CIAF risk elimination has been comparatively higher among socially marginalized children (ST, SC, OBC) than in General. The investigation also outlines a significant (p < 0.001), and consistent effect of child age, maternal nutritional level, education status, household economic status, and geographic regions on the prevalence of undernutrition among all four social groups in India from 2005-2006 to 2019-2021. The policymakers must focus much on the ST, SC, and OBC sections for eliminating childhood undernutrition. Specifically, more attention is needed for the ST, SC, and OBC children living with non- or less-educated mothers, belonging to poor families, living in central, western, and eastern Indian states for eliminating the childhood CIAF. This might contribute to lowering intergroup inequality (SDG 10.2) in India in terms of the incidence of hunger (SDG 2.2), undernutrition, and child mortality (SDG 3.2).

Regional Distribution of the Anthropometric Failure among Under-five Children and Its Determinants in India

Background

Undernutrition in children seems to be one of the major health issues in developing nations including India. Stunting, underweight, and wasting are the three most often used anthropometric indicators to evaluate childhood undernutrition. Children who exhibit one or more indicators of undernutrition are considered as anthropometric failure (AF). The present study aims to determine the distribution and determinants of anthropometric failure in children under the age of five in different regions of India.

Methods

NFHS-5 data, collected between 2019 and 2021, were utilized for the study. Pearson's chi-square (χ2) test was used to look into the association between categorical variables. Binary logistic regression was used to find the explanatory factors that influence anthropometric failure.

Results

More than half of the under-five children (52.18%) in India are suffering from anthropometric failure, out of these West (57.88%), East (56.58%), and Central (53.94%) regions have covered half of the total occurrence. State-wise, Bihar (61.66%), followed by Gujarat (60.26%), and Jharkhand (58.05%) have recorded the highest rates of anthropometric failure. Anthropometric failure is higher among anemic children, boys, parent not alives, the higher number of birth order, lower educated mothers, rural dwellers, belonging to scheduled tribes and scheduled castes communities, living in nuclear families, and having lower household wealth indexes than their other counterparts.

Conclusion

These aspects imply that regional determinants should be taken into consideration when implementing child nutrition development programs.

Spatiotemporal distribution and bivariate binary analysis of antenatal and delivery care utilizations in Ethiopia: EDHS 2000-2016

BACKGROUND

Antenatal care (ANC) is a maternal health care service given by skilled health professionals to pregnant women. Women may give birth at home or in health institutions. Home delivery care (DC) increases the likelihood of mortality of the mother and the newborn. Globally, each year nearly 303,000 maternal deaths occurred from complications of pregnancy and childbirth. Ethiopia alone accounted for 13,000 deaths, which disproportionately affects women living in different places of the country. Thus, this study aimed to assess the spatiotemporal patterns and associated factors of antenatal and delivery care utilization in Ethiopia.

METHOD

This study used the 2000 to 2016 EDHS (Ethiopian and Demographic Health Survey) data as a source. A total weighted sample of 30,762 women (7966 in 2000, 7297 in 2005, 7908 in 2011, and 7591 in 2016) was used. The separate and bivariate logistic regression analyses with and without the spatial effect were modeled using SAS version 9.4 and ArcGIS version 10.8.

RESULTS

The spatial distribution of ANC and DC was non-random in Ethiopia. The overall odds ratio of ANC and DC was 2.09. In 2016, 31.8% and 33.2% of women had ANC and DC respectively. The estimated odds of following ANC among mothers from middle and rich households were 1.346 and 1.679 times the estimated odds of following ANC among mothers from poor households respectively. Women who had attained higher education were 1.56 and 2.03 times more likely to have ANC and DC respectively compared to women who had no formal education.

CONCLUSIONS

Despite the government's report that women now have better access to maternal health care, a sizable proportion of women continue to give birth at home without going to the advised antenatal care appointment. Women and husbands with low education, having non-working partners, religion, regions of dwelling, residing in rural, lower birth order, low birth interval, unable to access mass media, low wealth status, and earlier EDHS survey years were significant predictors that hinder antenatal and delivery care utilization simultaneously in Ethiopia. Whereas the spatial variable significantly affects antenatal care and being unable to access mobile phones lead to low utilization of delivery care. We recommend that policymakers, planners, and researchers consider these variables and the spatiotemporal distribution of ANC and DC to reduce maternal mortality in Ethiopia. Besides, it is recommended that further studies use the latest EDHS survey data.

Potential mediators of the link between wealth index and anthropometric indices of under-five children in Ethiopia

Background

Malnutrition of under-five children has adverse effects on child's health and development, such as growth failure and muscle wasting. The household wealth index has a direct contribution to child malnutrition despite little attention being given to its indirect effect through other factors. This study aimed to identify the potential mediators of the link between wealth index and malnutrition.

Methods

In this study, a cross-sectional study design was implemented based on the data obtained from the 2019 Ethiopia Mini Demographic and Health Survey (EMDHS), which consists of a total of 3,918 under-five children. Mediation analysis of structural equation (SEM) was implemented to determine and estimate the effects of potential mediators of the link between wealth index and under-five children malnutrition.

Results

Among 3,918 under-five children involved in this study, 51.4% were male children and 20.2% were from urban areas. The place of delivery of the majority of mothers (56.1%) was at home, and the majority of children were from the poorest household (36.4%). The estimated effects of height-for-age of female children were higher (1.31:95% CI = 0.45, 0.200), indicating that female children had a lower likelihood of stunting than males. As compared to children in an urban area, children from rural areas were more likely to be stunted (-0.269; 95%CI = -0.388, -0.135). The estimated total indirect effects of wealth index on stunting and underweight was 0.69 (95% = 0.045, 0.094) and 0.036 (95% = 0.013, 0.054), respectively, and significant (p-value of <0.05).

Conclusion

Environmental, maternal, biological, and behavioral factors were the potential mediators of the link between the wealth index and the anthropometric indices. Besides, the total effects of the household wealth index had a significant effect on stunting, underweight, and wasting in which children from a household with low economic status were more likely to be malnourished.

Factor associated with anthropometric failure among under-five Bengali children: A comparative study between Bangladesh and India

Background

Child undernutrition is a burden and the leading cause of child mortality in low-and middle-income countries like Bangladesh and India. Currently, this issue is a matter of great concern, inasmuch as achieving the Sustainable Development Goals (SDGs). The study intends to determine the factors of child undernutrition using a single composite index of anthropometric failure (CIAF) among the Bengali population.

Methods

Unit level data on 14055 under 5 children were extracted from the Bangladesh Demographic and Health Survey 2017–18 (BDHS) and the 4^th National Family Health Survey of India (NFHS-4). To understand child undernutrition and generate CIAF, data on height-for-age (stunting), weight-for-height (wasting), and weight-for-age (underweight) were used by WHO guidelines. These three undernutrition indicators were combined into a single undernutrition indicator called anthropometric failure (anth-failure) using the CIAF concept. Explanatory factors of anth-failure included data on maternal health, socio-demographic and birth-related variables. Differences of frequency were determined by Z-proportional and Chi-square tests; predictors of anth-failure were determined by binary logistic regression. Cut off point of p-value was taken as 0.05 to test the significance.

Results

Inter-country disparities were revealed, about half of Bengali children in India and two-fifths in Bangladesh being prone to anth-failure. Stunting and underweight were more prevalent in both countries than wasting. Maternal undernutrition, lack of maternal education, and poor wealth index were common factors of anth-failure for both countries. Children in Bangladesh developed anth-failure after the end of breastfeeding period, indicating a lack of nutritious food. Lack of antenatal care was another significant factor in Bangladesh. In India, the first child suffered from anth-failure due to lack of maternal education.

Conclusions

This study provides a better understanding of multifactorial impact on child undernutrition. It is proposed that the emphasis should be on initiatives that improve maternal education and nutrition, child food security, boost household wealth index, and enhance mothers’ access to health care. The study strongly recommends that the governments of Bangladesh and India invest financially in preventing child malnutrition, which will contribute to achieving the first four SDGs.

Exploring and modeling recurrent birth events in Ethiopia: EMDHS 2019

Background

Globally, the estimated recurrent childbirth of one forth of women happens every two years or fewer. Next to Nigeria, Ethiopia is the second populist country in Africa and the first populist country in sub-Saharan Africa which consists of over 114 million population. There are prevalent short successive birth intervals problems in underdeveloped nations such as Ethiopia that contributes to adverse effects on mother and child health. However, studies that explore recurrent birth events and associated factors are very limited. Thus, this study aimed to explore and model the recurrent birth event by considering its subsequent within a mother and identifying its important determinants. As a result, the research findings of this study will be one of the preliminary research papers on the recurrent birth events that take into account the subsequent event and enable to be input for the policymakers, health institutions, and future researchers.

Methods

A total of 4676 mothers with their 16833 corresponding children were involved in this study. The data was obtained from the 2019 Ethiopian Mini Demographic and Health Survey (EMDHS). In this study, extended cox regression models such as Andersen-Gill (AG), Prentice, Williams, and Peterson total time (PWP-TT) model, PWP-gap time (PWP-GT) model, and Frailty model were employed. These all models are used to consider recurrent events within mothers and determine the potential determinants. AG, PWP-TT, and PWP-GT estimate the effect of covariates by considering the correlation between event times for a person can be explained by past events given the covariates, k^th event since the entry time, k^th event since the time from the previous event, respectively.

Results

Among mothers who have first and ninth recurrent birth events, 75.5% and 80.1% of them respectively were rural residents while 57.6% and 70.6% of them respectively were a place of delivery in the health sector. The highest prevalence of first recurrent births (44.3%) was obtained from Muslim mothers. Mothers' education level (HR: 1.210; 95%CI: 1.010, 1.460), mothers' age at first birth (HR: 0.713; 95% CI: 0.614, 0.828), household wealth index (HR: 0.776; 95% CI: 0.625, 0.965), child mortality (HR: 0.673; 95%CI: 0.514, 0.881), household size (HR: 1.914; 95%CI:1.539,2.381) and sex of child (HR:0.836; 95%CI = 0.755,0.926) were important determinants of recurrent birth event. This indicates mothers’ education level and household size were positively associated with recurrent birth events. Whereas mothers’ age at first birth, household wealth index, child mortality, and sex of the child was negatively associated with recurrent birth events.

Conclusion

The WHO recommends a minimum of 33 months between two consecutive births, which is longer than the Ethiopian recurrent birth intervals observed in this study. The highest recurrent birth occurred during the age of fewer than twenty years old of mothers at first birth as compared to mothers whose age was older at first birth. Mothers, children, and household characteristics had significant effects on recurrent birth events. We authors would like to recommend communities, governmental and non-governmental stakeholders consider the associated factors of frequent recurrence of birth noticed in this study. Besides, we would also like to recommend women start birth while they got mature in age to reduce frequent recurrent birth and its corresponding adverse effects.

Multilevel multivariate analysis on the anthropometric indicators of under-five children in Ethiopia: EMDHS 2019

Background

Undernutrition is the main cause of morbidity and mortality of children aged under five and it is an important indicator of countries’ economic and health status. Limited attention is given to research papers conducted in Ethiopia that identified and estimates the determinants of under-five anthropometric indicators by considering their association and clustering effect. Therefore, this study aimed to identify and estimate the effects of important determinants of anthropometric indicators by taking into account their association and cluster effects.

Methods

In this study, a cross-sectional study design was implemented based on the data obtained from the 2019 Ethiopia Mini Demographic and Health Survey (EMDHS) consists a total of 5027 under-five children. A multilevel multivariate logistic regression model was employed to estimate the effect of the determinants given their association of anthropometric indicators and clustering effect.

Results

Among 5027 children considered in the study 36.0, 23.3, and 9.1% of them were stunted, underweight, and wasted, respectively. Whereas the total number of undernourished (stunting, underweight and/or wasting) children was 42.9%. More than half of the children (51.2%) were males and 77.0% lived in rural area. The estimated odds of children from households with secondary and above education levels being stunted was 0.496 (OR = 0.496) times the estimated odds of children from households with no education. Whereas children from the richest households were less likely to be stunted as compared to children from the poorest households (OR = 0.485). The estimated odds of children from urban areas being underweight and wasting were lower by 24.9 and 33.7% of estimated odds of children from rural areas respectively.

Conclusion

The prevalence of anthropometric indicators of stunting, underweight, and wasting in Ethiopia was increased. The children underweight has significant dependency with both stunting and wasting. The sex of the child, wealth index, and education level of a household are the common important determinants of stunting, underweight and wasting. The undernourished status of children was more alike within the region and differences between regions.