Potential Factors Associated with Undernutrition in Children Under 5 years and its Patterns in Bangladesh: Insights from Four Cross-Sectional Studies
Notice bibliographique
Résumé
Abstract Background: Undernutrition in children under 5 years of age is one of the most important measurements of assessing the excellence of human life as it confirms healthy growth in early childhood. The main objective of this study is to understand the potential patterns and factors of undernutrition in children under 5 years of age in Bangladesh from 2007 to 2017. Methods: Four cross-sectional rounds of data from the Bangladesh Demographic and Health Survey (2007, 2011, 2014, and 2017) were used for this study. The ordinal logistic regression model was applied to explore the association between selected factors and undernutrition status (stunting, wasting, and underweight). Results: For stunting, the age of the child emerged as a significant factor. Between 2007 and 2017, older children (12–59 months) consistently exhibited a higher likelihood of severe stunting. In 2017, children aged 48–59 months had an odds ratio (OR) of 1.61 [confidence interval (CI): 1.34, 1.94] compared to those aged 0–11 months, a decrease from 3.04 (CI: 2.50, 3.71) in 2007. Regional disparities were notable, with children from the Sylhet division increasingly at risk. The OR for Sylhet rose from 1.02 (CI: 0.85, 1.22) in 2007 to 1.66 (CI: 1.35, 2.04) in 2017. In addition, socioeconomic factors shifted over time: OR for the poorest households decreased from 1.45 (CI: 1.21, 1.74) in 2007 to 1.18 (CI: 0.99, 1.42) in 2017, while children of mothers with higher education saw a consistent effect, with OR of 0.55 (CI: 0.38, 0.77) in 2007 and 0.49 (CI: 0.37, 0.66) in 2017. Over the survey years 2007, 2014, and 2017, girls were consistently less likely to be wasted than boys. In 2007, OR for girls was 0.86 (CI: 0.74, 0.99), slightly decreasing to 0.81 (CI: 0.68, 0.96) in 2017. Children of mothers with higher education were also less likely to be wasted compared to those of mothers without education. OR for children of mother with higher education was 0.79 (CI: 0.52, 1.20) in 2007, decreasing to 0.51 (CI: 0.35, 0.75) in 2017. In 2017, children aged 48–59 months had an OR of 1.84 (CI: 1.51, 2.24) for being underweight compared to those aged 0–11 months, slightly lower than the OR of 2.10 (CI: 1.75, 2.53) in 2007. In addition, in 2017, children from the richest families had OR of 0.68 (CI: 0.53, 0.87), consistent with that of 0.65 (CI: 0.52, 0.80) observed in 2007. Conclusion: These findings underscore the importance of targeted interventions addressing the specific needs of older children, those from low-income families, and regions with persistent disparities. Strengthening educational initiatives, enhancing nutritional programs, and promoting equitable healthcare access are crucial for sustaining the progress in reducing undernutrition in children under 5 years in Bangladesh.
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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 | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,001 |
| 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 ».