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Prevalence and associated factors of stunting, wasting and underweight of children below five using quintile regression analysis (PDHS 2017–2018)
The objective of the current study is to identify the risk factors for malnutrition among the age of under-five children’s in Pakistan. This is secondary data analysis for the data taken from Pakistan Demographic and Health Survey (PDHS 2017–18) and was analyzed by implementing quantile regression a...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9700674/ https://www.ncbi.nlm.nih.gov/pubmed/36434025 http://dx.doi.org/10.1038/s41598-022-24063-2 |
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author | Siddiqa, Maryam Zubair, Amber Kamal, Asifa Ijaz, Muhammad Abushal, Tahani |
author_facet | Siddiqa, Maryam Zubair, Amber Kamal, Asifa Ijaz, Muhammad Abushal, Tahani |
author_sort | Siddiqa, Maryam |
collection | PubMed |
description | The objective of the current study is to identify the risk factors for malnutrition among the age of under-five children’s in Pakistan. This is secondary data analysis for the data taken from Pakistan Demographic and Health Survey (PDHS 2017–18) and was analyzed by implementing quantile regression analysis. The sample size included 12,708 alive children in the study, for which the data collection period was from November 22, 2017, to April 30, 2018. The prevalence of malnutrition among boys is high (51.2%). Older age mother’s children have more prevalence of malnutrition (20.7%). A child born with small body size (underweight: Q(0.25): − 0.625; Q(0.50): − 0.623; Q(0.75): − 0.426 and wasting: Q(0.50): − 0.513); having uneducated mother (underweight: Q(0.25): − 0.387; Q(0.50): − 0.247; Q(0.75): − 0.328), belonged to a poor household (underweight: Q(0.50): − 0.251),residing in rural areas (underweight: Q(0.25): − 0.443), not following properly breastfeeding practices (underweight: Q(0.50): − 0.439; Q(0.75): − 0.438) have negative effect on different measures of malnutrition and this effect is significantly raises across different quantiles of stunting , wasting and underweight (at p value < 0.01 and < 0.05). Older age mother (stunting: Q(0.50): 0.777; Q(0.75): 1.078; underweight Q(0.20): 0.568; Q(0.50): 0.429; Q(0.75): 0.524) and higher birth order number (stunting: Q(0.50): 0.415; Q(0.75): 0.535), have a positive effect on three measures of under-nutrition and this effect is gradual raises at different quantile of stunting, wasting and underweight. Elder and smoker mothers were proved associated risk factors of both stunting and being underweight in Pakistan. Moreover, Proper breastfeeding practices, better economic status, average or above the average birth weight of the child, and milk consumption are found protective factors against stunting, wasting, and underweight children in Pakistan. |
format | Online Article Text |
id | pubmed-9700674 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-97006742022-11-27 Prevalence and associated factors of stunting, wasting and underweight of children below five using quintile regression analysis (PDHS 2017–2018) Siddiqa, Maryam Zubair, Amber Kamal, Asifa Ijaz, Muhammad Abushal, Tahani Sci Rep Article The objective of the current study is to identify the risk factors for malnutrition among the age of under-five children’s in Pakistan. This is secondary data analysis for the data taken from Pakistan Demographic and Health Survey (PDHS 2017–18) and was analyzed by implementing quantile regression analysis. The sample size included 12,708 alive children in the study, for which the data collection period was from November 22, 2017, to April 30, 2018. The prevalence of malnutrition among boys is high (51.2%). Older age mother’s children have more prevalence of malnutrition (20.7%). A child born with small body size (underweight: Q(0.25): − 0.625; Q(0.50): − 0.623; Q(0.75): − 0.426 and wasting: Q(0.50): − 0.513); having uneducated mother (underweight: Q(0.25): − 0.387; Q(0.50): − 0.247; Q(0.75): − 0.328), belonged to a poor household (underweight: Q(0.50): − 0.251),residing in rural areas (underweight: Q(0.25): − 0.443), not following properly breastfeeding practices (underweight: Q(0.50): − 0.439; Q(0.75): − 0.438) have negative effect on different measures of malnutrition and this effect is significantly raises across different quantiles of stunting , wasting and underweight (at p value < 0.01 and < 0.05). Older age mother (stunting: Q(0.50): 0.777; Q(0.75): 1.078; underweight Q(0.20): 0.568; Q(0.50): 0.429; Q(0.75): 0.524) and higher birth order number (stunting: Q(0.50): 0.415; Q(0.75): 0.535), have a positive effect on three measures of under-nutrition and this effect is gradual raises at different quantile of stunting, wasting and underweight. Elder and smoker mothers were proved associated risk factors of both stunting and being underweight in Pakistan. Moreover, Proper breastfeeding practices, better economic status, average or above the average birth weight of the child, and milk consumption are found protective factors against stunting, wasting, and underweight children in Pakistan. Nature Publishing Group UK 2022-11-25 /pmc/articles/PMC9700674/ /pubmed/36434025 http://dx.doi.org/10.1038/s41598-022-24063-2 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This 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/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Siddiqa, Maryam Zubair, Amber Kamal, Asifa Ijaz, Muhammad Abushal, Tahani Prevalence and associated factors of stunting, wasting and underweight of children below five using quintile regression analysis (PDHS 2017–2018) |
title | Prevalence and associated factors of stunting, wasting and underweight of children below five using quintile regression analysis (PDHS 2017–2018) |
title_full | Prevalence and associated factors of stunting, wasting and underweight of children below five using quintile regression analysis (PDHS 2017–2018) |
title_fullStr | Prevalence and associated factors of stunting, wasting and underweight of children below five using quintile regression analysis (PDHS 2017–2018) |
title_full_unstemmed | Prevalence and associated factors of stunting, wasting and underweight of children below five using quintile regression analysis (PDHS 2017–2018) |
title_short | Prevalence and associated factors of stunting, wasting and underweight of children below five using quintile regression analysis (PDHS 2017–2018) |
title_sort | prevalence and associated factors of stunting, wasting and underweight of children below five using quintile regression analysis (pdhs 2017–2018) |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9700674/ https://www.ncbi.nlm.nih.gov/pubmed/36434025 http://dx.doi.org/10.1038/s41598-022-24063-2 |
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