Determinants of Nutritional Status among Under-Five Children in Rural Bangladesh: A Quantitative Analysis Using Multilevel Approach |
Authors: |
M.K.J. Bhuiyan, M.J. Hossain, M.A. Islam, and M.A. Quddus |
Source: |
Bangladesh Journal of Agricultural Economics, XXXIX(1&2): 17-30; DOI: 10.22004/ag.econ.304084 |
Topic(s): |
Child health Children under five Nutrition
|
Country: |
Asia
Bangladesh
|
Published: |
APR 2020 |
Abstract: |
The present study examines the differential impact of some demographic, socioeconomic and
health-related factors on the nutritional status among under-five children in rural Bangladesh
using a nationally representative Bangladesh Demographic and Health Survey (BDHS) 2011
data. The BDHS follows a hierarchical data structure because the survey is based on two-stage
stratified sampling. Two-level random intercept binary logistic regression models were used to
capture the unobserved heterogeneity between clusters (communities) and to identify the
determinants of under-five children’s malnutrition. The analyses found that 16% of the
children were severely stunted and 26% were moderately stunted. Among the under-five
children, 4% were severely wasted and 12% were moderately wasted. Furthermore, 11% of the
children were severely underweight and 28% were moderately underweight. The potential
factors having significant association with malnutrition were found to be division, child age in
month, sex of child, twin child, preceding birth interval, child birth size, religion, mother’s
and father’s education, wealth index, household size, age of household head at first child birth,
sources of drinking water and suffer from fever and diarrhea. Significant community-level
variations were observed in the analyses which emphasis the need for extra attention on the
poor performing communities. Specific policy recommendations have been suggested for the
improvement of nutritional status of under-five children in rural Bangladesh
.
Key words:
Nutritional status, BDHS, under-five children, Multilevel Modeling, rural
Bangladesh |
Web: |
http://bjae.bau.edu.bd/home/article/view/12/4 |
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