Under nutrition and associated factors among adolescent girls attending school in the rural and urban districts of Debark, Northwest Ethiopia: A community-based comparative cross-sectional study

The Association between Intrahousehold Food Allocation Social Norms and Thinness among Young Adolescent Girls: A Community-Based Study

Background

Inequalities in food allocation related to social norms among household members significantly affect the nutritional status and well-being of the vulnerable members of the household, such as adolescent girls. This study assesses the association between social norms related to intrahousehold food allocation and young adolescent girls' thinness.

Materials and Methods

The study involved 1,083 pairs of mothers/caregivers and young adolescent girls. Data were collected using a structured and pretested questionnaire. Multilevel mixed-effect logistic regression analysis was employed to examine associations using STATA/SE V.14 statistical software. In addition, a stratified analysis was done to investigate the effect of social norms on thinness in food-secure and food-insecure households.

Result

The overall prevalence of young adolescent girls' thinness was 15.70% (95% CI 13.52-17.86%). Young adolescent girls' thinness was associated with mothers'/caregivers' conformity to inequitable intrahousehold food allocation social norms in food-secure households [Adjusted odds ratio (AOR): 1.43, 95% CI: 1.14-1.80] but not in food-insecure households.

Conclusion

Nearly 16% of adolescent girls were thin. Mothers/female caregivers conforming to inequitable intrahousehold food allocation social norms compromise the nutritional status of adolescent girls, particularly in food-secure households. The lack of statistically significant association in food-insecure households hints at the need to address inequality in food-secure households while addressing food shortage to improve the nutritional status of adolescents in low-income countries. We also recommend more studies in different sociocultural contexts to fully gather the evidence for adopting appropriate policies and practices.

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.

Prevalence and correlates of stunting and thinness among adolescent students in Lideta subcity, Addis Ababa, Ethiopia: a cross-sectional study

OBJECTIVES

To determine the prevalence of stunting and thinness and associated factors among adolescents attending public schools in Lideta subcity, Addis Ababa, Ethiopia, in 2021.

DESIGN

Cross-sectional.

SETTING

Public schools in Lideta subcity, Addis Ababa, Ethiopia.

ELIGIBILITY

Adolescents from grades 5-12 in public schools and students whose parents gave consent for participation.

DATA ANALYSIS

Bivariate and multivariable logistic regression analyses were used to examine the association between the independent variables and stunting and thinness. Using a 95% CI and adjusted OR (AOR), factors with a p value of less than 0.05 were determined to have a significant association.

OUTCOME MEASURES

The prevalence of stunting and thinness, as well as the factors associated with stunting and thinness, were secondary outcomes.

RESULTS

The overall prevalence of stunting and thinness was 7.2% (95% CI: 5.3% to 9.3%) and 9% (95% CI: 6.8% to 11.4%), respectively. Stunting was associated with a larger family size (AOR=3.76; 95% CI: 1.58 to 8.94), low dietary diversity (AOR=2.87; 95% CI: 1.44 to 5.74), food insecurity (AOR=2.81; 95% CI: 1.38 to 5.71) and a lower wealth index (AOR=3.34; 95% CI: 1.51 to 7.41). On the other hand, thinness was associated with maternal education in those who were unable to read and write (AOR=2.5; 95% CI: 1.97 to 8.11), inadequate dietary diversity (AOR=4.81; 95% CI: 2.55 to 9.07) and larger family size (AOR=2.46; 95% CI: 1.14 to 5.29).

CONCLUSION

Adolescent stunting and thinness were common in Addis Ababa's public schools. Family size, dietary diversity and food security were the main factors associated with both thinness and stunting. Therefore, to solve the problem of adolescent stunting and thinness, the administration of Addis Ababa city should prioritise minimising food insecurity while boosting productivity to enhance adolescent nutritional diversity. Moreover, nutritional education should be strengthened by healthcare providers working at public schools as well as health extension workers.

Stunting and thinness in school-attending adolescents in Addis Ababa

BACKGROUND

Adolescent population Global Diet Quality Score (GDQS) is uncommon in low-income settings. Though Global Diet Quality Score is a good measure of dietary diversity, it has not been used in assessing nutritional outcomes among adolescents. Therefore, the aim of this study is to assess school-attending adolescents stunting and thinness status and associations with global diet quality scores in Addis Ababa.

METHODS

A school-based cross-sectional study was conducted among school-attending adolescents in the age group of 10-14 years in urban settings in Ethiopia. A multi-stage stratified random sampling procedure was used to select schools and students. A total of 1200 adolescents were included in the study. Binary and Multinomial logistic regression analyses were used to determine the predictors of stunting and thinness respectively.

RESULTS

The proportion of school-attending adolescents stunting was 8.17% (95% CI: 6.74%,9.85%) and their thinness status 12.66% (95% CI: 10.89%, 14.67%). The overall mean GDQS food groups for Seven days period consumed were 19.99 + 2.81 SD. Male adolescents were 1.95 times more likely to be stunted compared to female adolescents (1.95; 95%CI: 1.11,3.39). Frequent consumption of low-fat dairy increased the risk of thinness, while frequent consumption of citrus fruits and white root tubers decreased the risk of school-attending adolescents' thinness.

CONCLUSION

The proportion of thin or stunted adolescents attending school was high still, about 1 in 10. Stunting and thinness have no association with the overall GDQS. Nutritional interventions need to consider frequent consumption of citrus fruits, low-fat dairy, and white roots and tubers in school adolescents' nutritional programs. Further studies should validate the GDQS for stunting and thinness of school adolescents.

Magnitude of under-nutrition among under five children in Ethiopia based on 2019 Mini-Ethiopia Demographic and Health Survey: Generalized Linear Mixed Model (GLMM)

INTRODUCTION

Malnutrition is a major public health problem that is experienced by many developing countries, like Ethiopia. Though some studies were conducted to identify the magnitude and determinants of acute malnutrition among under-five children, there is a lack of evidence that is representative of all children in Ethiopia. Hence, this national-level data could be representative of all targets and provide us with updated information on the nation-wide magnitude of nutritional status among children under the age of five in Ethiopia.

METHODS

This study used data from the 2019 Mini-Ethiopia Demographic and Health Survey (EDHS). Children aged 0-59 months with anthropometry data were included. Data processing and analysis were performed using STATA 15 software. Cross-tabulations and summary statistics were done to describe the study population. Generalized Linear Mixed Models (GLMMs) were used to estimate the association between nutritional status and explanatory variables and were expressed as an odds ratio with a 95% confidence interval (CI). Model comparison was done based on Akaike and Bayesian information criteria (AIC and BIC).

RESULTS

The magnitude of stunting was 37.71% [95%CI: 36.35-39.08], while the magnitude of wasting was 7.14% [95%CI: 6.52-7.91]. Living in Tigray [AOR = 2.90, 95%CI: 2.05-4.11], Amhara [AOR = 1.98, 95%CI: 1.41-2.79], having a child aged 24-35 [AOR = 3.79, 95%CI: 3.07-4.68], and being a rural resident were all significantly associated with stunting. Being born in Tigray [AOR = 1.75, 95% CI: 1.02-3.01], being born into the richest family [AOR = 0.74, 95% CI: 0.27-0.80], and being born from mothers aged 25-29 [AOR = 0.73, 95% CI: 0.55-0.96] were all significantly associated with wasting.

CONCLUSION

The magnitude of stunting and wasting is relatively high in Ethiopia. Region, place of residence, and age of the child were significantly associated with stunting, and region, wealth index, and age of the child were significantly associated with wasting. This result provides a clue to give due consideration to under-five children to mitigate the risks of malnutrition through various techniques.