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Unintended Childbearing and Child Growth in Northern Malawi
Objective The study aims to assess whether unintended children experience slower growth than intended children. Methods We analysed longitudinal data linked to the Karonga Health and Demographic Surveillance Site collected over three rounds between 2008 and 2011 on women’s fertility intentions and a...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5357271/ https://www.ncbi.nlm.nih.gov/pubmed/27491527 http://dx.doi.org/10.1007/s10995-016-2124-8 |
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author | Baschieri, Angela Machiyama, Kazuyo Floyd, Sian Dube, Albert Molesworth, Anna Chihana, Menard Glynn, Judith R. Crampin, Amelia C. French, Neil Cleland, John |
author_facet | Baschieri, Angela Machiyama, Kazuyo Floyd, Sian Dube, Albert Molesworth, Anna Chihana, Menard Glynn, Judith R. Crampin, Amelia C. French, Neil Cleland, John |
author_sort | Baschieri, Angela |
collection | PubMed |
description | Objective The study aims to assess whether unintended children experience slower growth than intended children. Methods We analysed longitudinal data linked to the Karonga Health and Demographic Surveillance Site collected over three rounds between 2008 and 2011 on women’s fertility intentions and anthropometric data of children. Using the prospective information on fertility intention we assessed whether unintended children are more likely to be stunted than intended children. We applied Propensity Score Matching technique to control for endogenous factors affecting both the probability that a family has an unwanted birth and a child with poor health outcomes. Results We found that 24 % of children from unwanted pregnancies were stunted compared with 18 % of mistimed pregnancies and 17 % of those from wanted pregnancies. However, these differences in probability of children being stunted, though in the expected direction, were not significant either for large or small families, after controlling for age. The number of children in the household was associated with stunting and boys were substantially more likely to be stunted than girls. Conclusion We found no significance difference in probability of being stunted by mother’s fertility intention. |
format | Online Article Text |
id | pubmed-5357271 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
spelling | pubmed-53572712017-03-30 Unintended Childbearing and Child Growth in Northern Malawi Baschieri, Angela Machiyama, Kazuyo Floyd, Sian Dube, Albert Molesworth, Anna Chihana, Menard Glynn, Judith R. Crampin, Amelia C. French, Neil Cleland, John Matern Child Health J Article Objective The study aims to assess whether unintended children experience slower growth than intended children. Methods We analysed longitudinal data linked to the Karonga Health and Demographic Surveillance Site collected over three rounds between 2008 and 2011 on women’s fertility intentions and anthropometric data of children. Using the prospective information on fertility intention we assessed whether unintended children are more likely to be stunted than intended children. We applied Propensity Score Matching technique to control for endogenous factors affecting both the probability that a family has an unwanted birth and a child with poor health outcomes. Results We found that 24 % of children from unwanted pregnancies were stunted compared with 18 % of mistimed pregnancies and 17 % of those from wanted pregnancies. However, these differences in probability of children being stunted, though in the expected direction, were not significant either for large or small families, after controlling for age. The number of children in the household was associated with stunting and boys were substantially more likely to be stunted than girls. Conclusion We found no significance difference in probability of being stunted by mother’s fertility intention. Springer US 2016-08-04 2017 /pmc/articles/PMC5357271/ /pubmed/27491527 http://dx.doi.org/10.1007/s10995-016-2124-8 Text en © The Author(s) 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. |
spellingShingle | Article Baschieri, Angela Machiyama, Kazuyo Floyd, Sian Dube, Albert Molesworth, Anna Chihana, Menard Glynn, Judith R. Crampin, Amelia C. French, Neil Cleland, John Unintended Childbearing and Child Growth in Northern Malawi |
title | Unintended Childbearing and Child Growth in Northern Malawi |
title_full | Unintended Childbearing and Child Growth in Northern Malawi |
title_fullStr | Unintended Childbearing and Child Growth in Northern Malawi |
title_full_unstemmed | Unintended Childbearing and Child Growth in Northern Malawi |
title_short | Unintended Childbearing and Child Growth in Northern Malawi |
title_sort | unintended childbearing and child growth in northern malawi |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5357271/ https://www.ncbi.nlm.nih.gov/pubmed/27491527 http://dx.doi.org/10.1007/s10995-016-2124-8 |
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