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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...

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Autores principales: Baschieri, Angela, Machiyama, Kazuyo, Floyd, Sian, Dube, Albert, Molesworth, Anna, Chihana, Menard, Glynn, Judith R., Crampin, Amelia C., French, Neil, Cleland, John
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2016
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.
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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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