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Dataset Information

Prevalence and determinants of wasting of under-5 children in Bangladesh: Quantile regression approach.


ABSTRACT:

Background

Wasting is perhaps one of the signs of malnutrition that has been linked to the deaths of children suffering from malnutrition. As a result, understanding its correlations and drivers is critical. Using quantile regression analysis, this research aims to contribute to the discussion on under-5 malnutrition by analyzing the predictors of wasting in Bangladesh.

Methods and materials

The dataset was extracted from the 2017-18 Bangladesh demographic and health survey (BDHS) data. The weight-for-height (WHZ) z-score based anthropometric indicator was used in the study as the target variable. The weighted sample constitutes 8,334 children of under-5 years. However, after cleaning the missing values, the analysis is based on 8,321 children. Sequential quantile regression

SUBMITTER: Hossain MM 

PROVIDER: S-EPMC9683614 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature