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Why under five children are stunted in Pakistan? A multilevel analysis of Punjab Multiple indicator Cluster Survey (MICS-2014)
BACKGROUND: Pakistan is facing a serious problem of child under-nutrition as about 38% of children in Pakistan are stunted. Punjab, the largest province by population and contributes high gross domestic product (GDP) share in economy has reported 27% moderately and 10% severely stunted children of l...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7302159/ https://www.ncbi.nlm.nih.gov/pubmed/32552812 http://dx.doi.org/10.1186/s12889-020-09110-9 |
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author | Mahmood, Tahir Abbas, Faisal Kumar, Ramesh Somrongthong, Ratana |
author_facet | Mahmood, Tahir Abbas, Faisal Kumar, Ramesh Somrongthong, Ratana |
author_sort | Mahmood, Tahir |
collection | PubMed |
description | BACKGROUND: Pakistan is facing a serious problem of child under-nutrition as about 38% of children in Pakistan are stunted. Punjab, the largest province by population and contributes high gross domestic product (GDP) share in economy has reported 27% moderately and 10% severely stunted children of less than 5 years. Thus, this study aims at examining the determinants of stunting (moderate and severe) at different level of hierarchy empirically in Punjab province of Pakistan. METHODOLOGY: Data for this study is coming from Punjab Multiple Indicators Cluster Survey (MICS-2014), used two-stage, stratified cluster sampling approach. Sub-national level data covering urban and rural areas were used for this study consists of 25,067 children less than 5 year’s ages, from nine administrative divisions and 36 districts of Punjab province of Pakistan. Descriptive statistics and multilevel hierarchical models were estimated. Multilevel data analyses have an advantage because it provides robust standard error estimates and helps in finding variation in the data at various levels. RESULTS: Punjab has a stunting prevalence of about 27% moderately and 10% severely stunted children of less than 5 years. The results depict that increasing the age of the child, increasing birth order, illiterate mothers and fathers, lack of sanitation facilities and being poor are associated significantly with the likelihood of moderate and severe stunting. Surprisingly, there is a gender bias in stunting in Punjab, Pakistan and being a girl child is more likely associated with moderate and severe stunting, which shows the patriarchal nature of the society and a substantial prevalence of gender bias in household resource allocations. CONCLUSION: This outcome of our analysis points towards targeting not only households (focus on girls) but also their families and communities. |
format | Online Article Text |
id | pubmed-7302159 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-73021592020-06-19 Why under five children are stunted in Pakistan? A multilevel analysis of Punjab Multiple indicator Cluster Survey (MICS-2014) Mahmood, Tahir Abbas, Faisal Kumar, Ramesh Somrongthong, Ratana BMC Public Health Research Article BACKGROUND: Pakistan is facing a serious problem of child under-nutrition as about 38% of children in Pakistan are stunted. Punjab, the largest province by population and contributes high gross domestic product (GDP) share in economy has reported 27% moderately and 10% severely stunted children of less than 5 years. Thus, this study aims at examining the determinants of stunting (moderate and severe) at different level of hierarchy empirically in Punjab province of Pakistan. METHODOLOGY: Data for this study is coming from Punjab Multiple Indicators Cluster Survey (MICS-2014), used two-stage, stratified cluster sampling approach. Sub-national level data covering urban and rural areas were used for this study consists of 25,067 children less than 5 year’s ages, from nine administrative divisions and 36 districts of Punjab province of Pakistan. Descriptive statistics and multilevel hierarchical models were estimated. Multilevel data analyses have an advantage because it provides robust standard error estimates and helps in finding variation in the data at various levels. RESULTS: Punjab has a stunting prevalence of about 27% moderately and 10% severely stunted children of less than 5 years. The results depict that increasing the age of the child, increasing birth order, illiterate mothers and fathers, lack of sanitation facilities and being poor are associated significantly with the likelihood of moderate and severe stunting. Surprisingly, there is a gender bias in stunting in Punjab, Pakistan and being a girl child is more likely associated with moderate and severe stunting, which shows the patriarchal nature of the society and a substantial prevalence of gender bias in household resource allocations. CONCLUSION: This outcome of our analysis points towards targeting not only households (focus on girls) but also their families and communities. BioMed Central 2020-06-17 /pmc/articles/PMC7302159/ /pubmed/32552812 http://dx.doi.org/10.1186/s12889-020-09110-9 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Article Mahmood, Tahir Abbas, Faisal Kumar, Ramesh Somrongthong, Ratana Why under five children are stunted in Pakistan? A multilevel analysis of Punjab Multiple indicator Cluster Survey (MICS-2014) |
title | Why under five children are stunted in Pakistan? A multilevel analysis of Punjab Multiple indicator Cluster Survey (MICS-2014) |
title_full | Why under five children are stunted in Pakistan? A multilevel analysis of Punjab Multiple indicator Cluster Survey (MICS-2014) |
title_fullStr | Why under five children are stunted in Pakistan? A multilevel analysis of Punjab Multiple indicator Cluster Survey (MICS-2014) |
title_full_unstemmed | Why under five children are stunted in Pakistan? A multilevel analysis of Punjab Multiple indicator Cluster Survey (MICS-2014) |
title_short | Why under five children are stunted in Pakistan? A multilevel analysis of Punjab Multiple indicator Cluster Survey (MICS-2014) |
title_sort | why under five children are stunted in pakistan? a multilevel analysis of punjab multiple indicator cluster survey (mics-2014) |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7302159/ https://www.ncbi.nlm.nih.gov/pubmed/32552812 http://dx.doi.org/10.1186/s12889-020-09110-9 |
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