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Socioeconomic and demographic factors determining the underweight prevalence among children under-five in Punjab
BACKGROUND: Underweight prevalence continues to be major public health challenge worldwide, particularly in developing countries like Pakistan. This study is focused on socio-economic and demographic aspects of underweight prevalence among children under-five in Punjab. METHODS: In this study, sever...
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/PMC7708259/ https://www.ncbi.nlm.nih.gov/pubmed/33256664 http://dx.doi.org/10.1186/s12889-020-09675-5 |
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author | Farooq, Rizwan Khan, Hina Khan, Masood Amjad Aslam, Muhammad |
author_facet | Farooq, Rizwan Khan, Hina Khan, Masood Amjad Aslam, Muhammad |
author_sort | Farooq, Rizwan |
collection | PubMed |
description | BACKGROUND: Underweight prevalence continues to be major public health challenge worldwide, particularly in developing countries like Pakistan. This study is focused on socio-economic and demographic aspects of underweight prevalence among children under-five in Punjab. METHODS: In this study, several socioeconomic and demographic factors are considered using MICS-4 data-set. Only those variables which are usually described in the nutritional studies of children were picked. Covariates include: the age of children, sex of the children, age of mother, total number of children born to women, family wealth index quintile, source of drinking water, type of sanitation, place of residence, parents’ education and occupation. All Categorical variables are effect coded. The child’s age and the mother’s age are assumed to be nonlinear, geographical region is spatial effect, while other variables are parametric in nature. Since, the response is binary, covariate comprises linear terms, nonlinear effects of continues covariates and geographic effects, so we have use Geo-additive models (based on Fully Bayesian approach) with binomial family under logit link. Statistical analysis is performed on Statistical package R using Bayes X and R2 Bayes X Libraries. RESULTS: Underweight status of children was found to be positively associated with number of under-five children in household, total number of children ever born to women and age of mother when the child was born. Whereas, it negatively associated with place of residence, parent’s education and family wealth index quintile. On the regional effect, the Southern Punjab has higher prevalence of underweight compared to Central and Northern Punjab. CONCLUSION: Similarity of our results with several other studies demonstrate that the Geo-additive models are an ideal substitute of other statistical models to analyze the underweight prevalence among children. Moreover, our findings suggest the Punjab Government, to introduce target-oriented programs such as poverty reduction and enhancement of education and health facilities for poor population and disadvantaged regions, especially Southern Punjab. SUPPLEMENTARY INFORMATION: Supplementary information accompanies this paper at 10.1186/s12889-020-09675-5. |
format | Online Article Text |
id | pubmed-7708259 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-77082592020-12-02 Socioeconomic and demographic factors determining the underweight prevalence among children under-five in Punjab Farooq, Rizwan Khan, Hina Khan, Masood Amjad Aslam, Muhammad BMC Public Health Research Article BACKGROUND: Underweight prevalence continues to be major public health challenge worldwide, particularly in developing countries like Pakistan. This study is focused on socio-economic and demographic aspects of underweight prevalence among children under-five in Punjab. METHODS: In this study, several socioeconomic and demographic factors are considered using MICS-4 data-set. Only those variables which are usually described in the nutritional studies of children were picked. Covariates include: the age of children, sex of the children, age of mother, total number of children born to women, family wealth index quintile, source of drinking water, type of sanitation, place of residence, parents’ education and occupation. All Categorical variables are effect coded. The child’s age and the mother’s age are assumed to be nonlinear, geographical region is spatial effect, while other variables are parametric in nature. Since, the response is binary, covariate comprises linear terms, nonlinear effects of continues covariates and geographic effects, so we have use Geo-additive models (based on Fully Bayesian approach) with binomial family under logit link. Statistical analysis is performed on Statistical package R using Bayes X and R2 Bayes X Libraries. RESULTS: Underweight status of children was found to be positively associated with number of under-five children in household, total number of children ever born to women and age of mother when the child was born. Whereas, it negatively associated with place of residence, parent’s education and family wealth index quintile. On the regional effect, the Southern Punjab has higher prevalence of underweight compared to Central and Northern Punjab. CONCLUSION: Similarity of our results with several other studies demonstrate that the Geo-additive models are an ideal substitute of other statistical models to analyze the underweight prevalence among children. Moreover, our findings suggest the Punjab Government, to introduce target-oriented programs such as poverty reduction and enhancement of education and health facilities for poor population and disadvantaged regions, especially Southern Punjab. SUPPLEMENTARY INFORMATION: Supplementary information accompanies this paper at 10.1186/s12889-020-09675-5. BioMed Central 2020-11-30 /pmc/articles/PMC7708259/ /pubmed/33256664 http://dx.doi.org/10.1186/s12889-020-09675-5 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 Farooq, Rizwan Khan, Hina Khan, Masood Amjad Aslam, Muhammad Socioeconomic and demographic factors determining the underweight prevalence among children under-five in Punjab |
title | Socioeconomic and demographic factors determining the underweight prevalence among children under-five in Punjab |
title_full | Socioeconomic and demographic factors determining the underweight prevalence among children under-five in Punjab |
title_fullStr | Socioeconomic and demographic factors determining the underweight prevalence among children under-five in Punjab |
title_full_unstemmed | Socioeconomic and demographic factors determining the underweight prevalence among children under-five in Punjab |
title_short | Socioeconomic and demographic factors determining the underweight prevalence among children under-five in Punjab |
title_sort | socioeconomic and demographic factors determining the underweight prevalence among children under-five in punjab |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7708259/ https://www.ncbi.nlm.nih.gov/pubmed/33256664 http://dx.doi.org/10.1186/s12889-020-09675-5 |
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