Unknown

Dataset Information

Exploring under-five child malnutrition in Bangladesh: analysis using the Extended Composite Index of Anthropometric Failure (ECIAF).


ABSTRACT:

Objective

The current study is an attempt to explore under-five child malnutrition in a low-income population setting using the Extended Composite Index of Anthropometric Failure (ECIAF).

Design

Data from the Bangladesh Demographic and Health Survey 2017-2018 were analysed. Malnutrition using ECIAF was estimated using stunting, wasting underweight and overweight. Multilevel logistic regression models identified factors associated with malnutrition. Geospatial analysis was conducted using R programming.

Setting

Bangladesh.

Participants

Children under 5 years of age.

Results

In Bangladesh, as indicated by the ECIAF, approximately 40·8 % (95 % CI: 39·7, 41·9) of children under five experience malnutrition, whereas about 3·3 % (95 % CI: 2·9, 3·7) were overwe

SUBMITTER: Bornee FA 

PROVIDER: S-EPMC11883563 | biostudies-literature | 2025 Feb

REPOSITORIES: biostudies-literature