Childhood Wasting in Bangladesh

Aim: Childhood wasting is a significant public health issue throughout the world, notably in developing countries. 8.4% of Bangladeshi young children under five years old are currently wasted, which has an effect on the country's overall public health outcomes. The study's aim was to determine childhood wasting among under five years old in Bangladesh. Methods: The study's dataset was obtained from the country-wide Bangladesh Demographic Health and Survey (BDHS) in 2017–2018. The study sample contained 30,830 under-five children. The associations between specific independent factors and nutritional status were assessed using chi-square tests, and the risk factors associated with early childhood wasting were found using binary logistic regression. Results: The majority of the children (51.6%) in the study's sample were male, and they resided in rural areas the most often. From 17% in 2007 to 8% in 2017, the frequency of childhood wasting has reduced over time. The study also discovered that mothers' overweight/obese and underweight body mass indices, as well as their relative age (24–35 months and 36–47 months), were risk factors linked to childhood wasting in Bangladesh. Conclusion: This study presents the significant risk factors for severe child wasting in Bangladesh. Countries that suffer from childhood malnourishment may use the findings of this study for further research.

Authors

Institutions

Publication Details

Journal
Edukasiana Jurnal Inovasi Pendidikan
Published
2024-09-23
DOI
https://doi.org/10.56916/ejip.v3i4.854
Primary Topic
Child Nutrition and Water Access
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Childhood Wasting in Bangladesh

Sakib Al Hassan, Tanjirul Islam, Tayeeba Tabussum Anni, Mahmuda Akter Jui et al.
Edukasiana Jurnal Inovasi Pendidikan
Child Nutrition and Water Access
article

Childhood Wasting in Bangladesh

Sakib Al Hassan, Tanjirul Islam, Tayeeba Tabussum Anni, Mahmuda Akter Jui, Md Amirul Islam, Mymuna Islam Moon
article en

Abstract

Aim: Childhood wasting is a significant public health issue throughout the world, notably in developing countries. 8.4% of Bangladeshi young children under five years old are currently wasted, which has an effect on the country's overall public health outcomes. The study's aim was to determine childhood wasting among under five years old in Bangladesh. Methods: The study's dataset was obtained from the country-wide Bangladesh Demographic Health and Survey (BDHS) in 2017–2018. The study sample contained 30,830 under-five children. The associations between specific independent factors and nutritional status were assessed using chi-square tests, and the risk factors associated with early childhood wasting were found using binary logistic regression. Results: The majority of the children (51.6%) in the study's sample were male, and they resided in rural areas the most often. From 17% in 2007 to 8% in 2017, the frequency of childhood wasting has reduced over time. The study also discovered that mothers' overweight/obese and underweight body mass indices, as well as their relative age (24–35 months and 36–47 months), were risk factors linked to childhood wasting in Bangladesh. Conclusion: This study presents the significant risk factors for severe child wasting in Bangladesh. Countries that suffer from childhood malnourishment may use the findings of this study for further research.

Edukasiana Jurnal Inovasi PendidikanVol. 3(4)
University Health Care System (US)
Zero hunger
Openalex Percentile: Top 78%
Child Nutrition and Water Access
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.