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Erschienen in: Journal of Public Health 3/2021

04.12.2019 | Original Article

Risk factors associated with wasting among under-5 children residing in urban areas of Bangladesh: a multilevel modelling approach

verfasst von: Ashis Talukder

Erschienen in: Journal of Public Health | Ausgabe 3/2021

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Abstract

Aim

The main aim of this study was to uncover the risk factors associated with wasting status of under-5 children residing in urban areas of Bangladesh.

Subjects and methods

For analysis purposes, the necessary information was extracted from the Bangladesh Urban Health Survey (BUHS) 2013. The outcome measure was wasting. Chi-square analysis was performed to assess the association between outcome variables and selected factors. Multilevel logistic regression models with a random intercept at each of the individual and regional levels were considered to identify the risk factors of wasting.

Results

A total of 10,511 urban children aged 0 to less than 60 months were included in this study. The overall prevalence of wasting was 17.2%. In the bivariate setup, all the selected covariates except child age were found to be significant for wasting status of children (p < 0.05). According to the two-level logistic regression model, the odds of wasting status of children increase with the age of the child and decrease with the increasing level of mother’s education. Compared to children from poor income families, the odds of being wasted were 18% and 47% lower for children coming from middle and rich income families. Among the domains, the odds of having wasted children was higher in the city-corporation slum compared to the city-corporation non-slum. Mothers receiving ANC services had lower odds of having a wasted child. Moreover, a mother who regularly breastfed her baby had 57% lower odds of having a wasted child, compared to a mother who never breastfed her baby.

Conclusion

The prevalence of wasting among under-5 children in Bangladesh is still high, and the risk was examined at various multilevel factors. Therefore, top priority should be given to reducing the rate of wasting as a major public health intervention.
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Literatur
Zurück zum Zitat Das S, Gulshan J (2017) Different forms of malnutrition among under five children in Bangladesh: a cross sectional study on prevalence and determinants. BMC Nutr 3:1CrossRef Das S, Gulshan J (2017) Different forms of malnutrition among under five children in Bangladesh: a cross sectional study on prevalence and determinants. BMC Nutr 3:1CrossRef
Zurück zum Zitat International Institute for Population Sciences (IIPS), Macro International (2007) National Family Health Survey (NFHS-3), 2005–06: India: volume I. IIPS, Mumbai International Institute for Population Sciences (IIPS), Macro International (2007) National Family Health Survey (NFHS-3), 2005–06: India: volume I. IIPS, Mumbai
Zurück zum Zitat International Institute for Population Sciences (IIPS), Macro International (2017) National Family Health Survey (NFHS-4, 2015–16: India. IIPS, Mumbai, p 2017 International Institute for Population Sciences (IIPS), Macro International (2017) National Family Health Survey (NFHS-4, 2015–16: India. IIPS, Mumbai, p 2017
Zurück zum Zitat Khara T, Dolan C (2014) Technical briefing paper: the relationship between wasting and stunting, policy, programming and research implications. Emergency Nutrition Network (ENN), Kidlington UK Khara T, Dolan C (2014) Technical briefing paper: the relationship between wasting and stunting, policy, programming and research implications. Emergency Nutrition Network (ENN), Kidlington UK
Zurück zum Zitat Mahgoub SEO, Nnyepi M, Bandeke T (2006) Factors affecting prevalence of malnutrition among children under three years of age in Botswana. Afr J Food Agric Nutr Dev 6(1):15 Mahgoub SEO, Nnyepi M, Bandeke T (2006) Factors affecting prevalence of malnutrition among children under three years of age in Botswana. Afr J Food Agric Nutr Dev 6(1):15
Zurück zum Zitat National Institute of Population Research and Training (NIPORT), Mitra and Associates, Macro International (2009) Bangladesh Demographic and Health Survey 2007. NIPORT, Dhaka, Bangladesh; Mitra and Associates, Dhaka, Bangladesh; Macro International, Calverton MD, USA National Institute of Population Research and Training (NIPORT), Mitra and Associates, Macro International (2009) Bangladesh Demographic and Health Survey 2007. NIPORT, Dhaka, Bangladesh; Mitra and Associates, Dhaka, Bangladesh; Macro International, Calverton MD, USA
Zurück zum Zitat National Institute of Population Research and Training (NIPORT), Mitra and Associates, Macro International (2016) Bangladesh Demographic and Health Survey 2014. NIPORT, Dhaka, Bangladesh; Mitra and Associates, Dhaka, Bangladesh; Macro International, Calverton MD, USA National Institute of Population Research and Training (NIPORT), Mitra and Associates, Macro International (2016) Bangladesh Demographic and Health Survey 2014. NIPORT, Dhaka, Bangladesh; Mitra and Associates, Dhaka, Bangladesh; Macro International, Calverton MD, USA
Zurück zum Zitat National Institute of Population Research and Training (NIPORT), Measure Evaluation, International Centre for Diarrhoeal Disease Research, Bangladesh (icddr,b), (2015) Bangladesh Urban Health Survey 2013 Final Report. NIPORT, Dhaka, Bangladesh; Measure Evaluation, Chapel Hill NC, USA; icddr,b, Dhaka, Bangladesh National Institute of Population Research and Training (NIPORT), Measure Evaluation, International Centre for Diarrhoeal Disease Research, Bangladesh (icddr,b), (2015) Bangladesh Urban Health Survey 2013 Final Report. NIPORT, Dhaka, Bangladesh; Measure Evaluation, Chapel Hill NC, USA; icddr,b, Dhaka, Bangladesh
Zurück zum Zitat Park S, Lake ET (2005) Multilevel modeling of a clustered continuous outcome: nurses’ work hours and burnout. Nurs Res 54:406–413CrossRef Park S, Lake ET (2005) Multilevel modeling of a clustered continuous outcome: nurses’ work hours and burnout. Nurs Res 54:406–413CrossRef
Zurück zum Zitat WHO (2014) Global Nutrition Targets 2025: Policy Brief Series (WHO/NMH/NHD/14.2). World Health Organization, Geneva WHO (2014) Global Nutrition Targets 2025: Policy Brief Series (WHO/NMH/NHD/14.2). World Health Organization, Geneva
Zurück zum Zitat WHO Multicenter Growth Reference Study Group (2006) WHO Child Growth Standards based on length/ height, weight and age. Acta Paediatr Suppl 450:76–85 WHO Multicenter Growth Reference Study Group (2006) WHO Child Growth Standards based on length/ height, weight and age. Acta Paediatr Suppl 450:76–85
Zurück zum Zitat World Health Organization (2011) World Health Statistics 2011. World Health Organization, Geneva World Health Organization (2011) World Health Statistics 2011. World Health Organization, Geneva
Metadaten
Titel
Risk factors associated with wasting among under-5 children residing in urban areas of Bangladesh: a multilevel modelling approach
verfasst von
Ashis Talukder
Publikationsdatum
04.12.2019
Verlag
Springer Berlin Heidelberg
Erschienen in
Journal of Public Health / Ausgabe 3/2021
Print ISSN: 2198-1833
Elektronische ISSN: 1613-2238
DOI
https://doi.org/10.1007/s10389-019-01163-4

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