Urban-rural differences in the associated factors of severe under-5 child undernutrition based on the composite index of severe anthropometric failure (CISAF) in Bangladesh.


Journal

BMC public health
ISSN: 1471-2458
Titre abrégé: BMC Public Health
Pays: England
ID NLM: 100968562

Informations de publication

Date de publication:
23 11 2021
Historique:
received: 07 04 2021
accepted: 15 10 2021
entrez: 24 11 2021
pubmed: 25 11 2021
medline: 15 12 2021
Statut: epublish

Résumé

Severe undernutrition among under-5 children is usually assessed using single or conventional indicators (i.e., severe stunting, severe wasting, and/or severe underweight). But these conventional indicators partly overlap, thus not providing a comprehensive estimate of the proportion of malnourished children in the population. Incorporating all these conventional nutritional indicators, the Composite Index of Severe Anthropometric Failure (CSIAF) provides six different undernutrition measurements and estimates the overall burden of severe undernutrition with a more comprehensive view. This study applied the CISAF indicators to investigate the prevalence of severe under-5 child undernutrition in Bangladesh and its associated socioeconomic factors in the rural-urban context. This study extracted the children dataset from the 2017-18 Bangladesh Demographic Health Survey (BDHS), and the data of 7661 children aged under-5 were used for further analyses. CISAF was used to define severe undernutrition by aggregating conventional nutritional indicators. Bivariate analysis was applied to examine the proportional differences of variables between non-severe undernutrition and severe undernutrition group. The potential associated socioeconomic factors for severe undernutrition were identified using the adjusted model of logistic regression analysis. The overall prevalence of severe undernutrition measured by CISAF among the children under-5 was 11.0% in Bangladesh (rural 11.5% vs urban 9.6%). The significant associated socioeconomic factors of severe undernutrition in rural areas were children born with small birth weight (AOR: 2.84), children from poorest households (AOR: 2.44), and children aged < 36 months, and children of uneducated mothers (AOR: 2.15). Similarly, in urban areas, factors like- children with small birth weight (AOR: 3.99), children of uneducated parents (AOR: 2.34), poorest households (APR: 2.40), underweight mothers (AOR: 1.58), mothers without postnatal care (AOR: 2.13), and children's birth order ≥4 (AOR: 1.75), showed positive and significant association with severe under-5 undernutrition. Severe undernutrition among the under-5 children dominates in Bangladesh, especially in rural areas and the poorest urban families. More research should be conducted using such composite indices (like- CISAF) to depict the comprehensive scenario of severe undernutrition among the under-5 children and to address multi-sectoral intervening programs for eradicating severe child undernutrition.

Identifiants

pubmed: 34814880
doi: 10.1186/s12889-021-12038-3
pii: 10.1186/s12889-021-12038-3
pmc: PMC8611976
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

2147

Informations de copyright

© 2021. The Author(s).

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Auteurs

Asibul Islam Anik (AI)

Department of Public Health and Informatics, Bangabandhu Sheikh Mujib Medical University (BSMMU), Shahbag, Dhaka, Bangladesh.
Department of Research and Evaluation, SAJIDA Foundation, Gulshan-1, Dhaka, Bangladesh.

Mohammad Rocky Khan Chowdhury (MRK)

Department of Public Health, First Capital University of Bangladesh, Chuadanga, Bangladesh.

Hafiz T A Khan (HTA)

College of Nursing, Midwifery and Healthcare, University of West London, London, UK.

Md Nazrul Islam Mondal (MNI)

Department of Population Science and Human Resource Development, University of Rajshahi, Rajshahi, Bangladesh.

Nirmala K P Perera (NKP)

Nuffield Department of Orthopaedics, Rheumatology, and Musculoskeletal Sciences, University of Oxford, Oxford, UK.
Unit of Physiotherapy, Department of Health, Medicine and Caring Sciences (HMV), Linköping University, Linköping, Sweden.

Manzur Kader (M)

Unit of Occupational Medicine, Institute of Environmental Medicine | Karolinska Institutet, Solnavägen 4, Torsplan floor 10, 113 65, Stockholm, Sweden. Manzur.Kader@ki.se.

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