Child health outcomes and associated factors among under five years children in Ethiopia: a population attributable fractions analysis of Ethiopia demographic and health survey (2005–2016)
Notice bibliographique
Résumé
INTRODUCTION: In Ethiopia, more than half (57%) of children aged 6-59 months were estimated to be anemic in 2016 alone. The country had about 37% of under-five children suffering from stunting and under-five mortality rate of 59 deaths per 1000 live births in 2019. The main purpose of this paper was to estimate the proportion of under-five children prevented from childhood undernutrition, anemia, and under-five mortality by removing the risk factors or inequalities. METHOD: This cross-sectional study was based on a pooled total sample of 29,831 children aged 0-59 months drawn from three rounds of the Ethiopian Demography and Health Surveys (2005-2016). We employed multiple logistic regression analysis to identify the modifiable risk factors associated with childhood anemia, undernutrition, and under-five mortality among under-five children. We also used Population Attributable Fractions (PAFs) to estimate the proportion of under-five children that could be prevented from childhood undernutrition, anemia, and under-five mortality by removing inequalities. RESULT: PAF analyses of risk factors of childhood anemia confirmed that 38.5% of occurrence of childhood anemia was attributed to five selected risk factors, which include having a large household size (5+), being in a poor household, being born from anemic and unemployed mothers, and being breastfed for less than six months. About 45.6% of occurrences of childhood undernutrition were attributed to unimproved toilet facility, solid cooking fuel, and home delivery. About 72% of the reported under-five mortality could possibly be averted by removing the use of unimproved toilet facilities, early age childbirth (< 18 years old mothers), and a large number of children ever born to mothers and less than six months breastfeeding practice at the population level. CONCLUSION: The present study suggests that a substantial reduction in the prevalence of childhood anemia, undernutrition, and under-five mortality in the country is attainable if child survival-focused program interventions and policies target households and mothers with low socioeconomic status and those who have low awareness of child healthcare, including breastfeeding practice and use of safe sanitation facilities.
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Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,002 | 0,003 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».