Ontology highlight
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