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Systematic assessment of the sex ratio at birth for all countries and estimation of national imbalances and regional reference levels
The sex ratio at birth (SRB; ratio of male to female live births) imbalance in parts of the world over the past few decades is a direct consequence of sex-selective abortion, driven by the coexistence of son preference, readily available technology of prenatal sex determination, and fertility declin...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
National Academy of Sciences
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6511063/ https://www.ncbi.nlm.nih.gov/pubmed/30988199 http://dx.doi.org/10.1073/pnas.1812593116 |
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author | Chao, Fengqing Gerland, Patrick Cook, Alex R. Alkema, Leontine |
author_facet | Chao, Fengqing Gerland, Patrick Cook, Alex R. Alkema, Leontine |
author_sort | Chao, Fengqing |
collection | PubMed |
description | The sex ratio at birth (SRB; ratio of male to female live births) imbalance in parts of the world over the past few decades is a direct consequence of sex-selective abortion, driven by the coexistence of son preference, readily available technology of prenatal sex determination, and fertility decline. Estimation of the degree of SRB imbalance is complicated because of unknown SRB reference levels and because of the uncertainty associated with SRB observations. There are needs for reproducible methods to construct SRB estimates with uncertainty, and to assess SRB inflation due to sex-selective abortion. We compile an extensive database from vital registration systems, censuses and surveys with 10,835 observations, and 16,602 country-years of information from 202 countries. We develop Bayesian methods for SRB estimation for all countries from 1950 to 2017. We model the SRB regional and national reference levels, the fluctuation around national reference levels, and the inflation. The estimated regional reference levels range from 1.031 (95% uncertainty interval [1.027; 1.036]) in sub-Saharan Africa to 1.063 [1.055; 1.072] in southeastern Asia, 1.063 [1.054; 1.072] in eastern Asia, and 1.067 [1.058; 1.077] in Oceania. We identify 12 countries with strong statistical evidence of SRB imbalance during 1970–2017, resulting in 23.1 [19.0; 28.3] million missing female births globally. The majority of those missing female births are in China, with 11.9 [8.5; 15.8] million, and in India, with 10.6 [8.0; 13.6] million. |
format | Online Article Text |
id | pubmed-6511063 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | National Academy of Sciences |
record_format | MEDLINE/PubMed |
spelling | pubmed-65110632019-05-23 Systematic assessment of the sex ratio at birth for all countries and estimation of national imbalances and regional reference levels Chao, Fengqing Gerland, Patrick Cook, Alex R. Alkema, Leontine Proc Natl Acad Sci U S A PNAS Plus The sex ratio at birth (SRB; ratio of male to female live births) imbalance in parts of the world over the past few decades is a direct consequence of sex-selective abortion, driven by the coexistence of son preference, readily available technology of prenatal sex determination, and fertility decline. Estimation of the degree of SRB imbalance is complicated because of unknown SRB reference levels and because of the uncertainty associated with SRB observations. There are needs for reproducible methods to construct SRB estimates with uncertainty, and to assess SRB inflation due to sex-selective abortion. We compile an extensive database from vital registration systems, censuses and surveys with 10,835 observations, and 16,602 country-years of information from 202 countries. We develop Bayesian methods for SRB estimation for all countries from 1950 to 2017. We model the SRB regional and national reference levels, the fluctuation around national reference levels, and the inflation. The estimated regional reference levels range from 1.031 (95% uncertainty interval [1.027; 1.036]) in sub-Saharan Africa to 1.063 [1.055; 1.072] in southeastern Asia, 1.063 [1.054; 1.072] in eastern Asia, and 1.067 [1.058; 1.077] in Oceania. We identify 12 countries with strong statistical evidence of SRB imbalance during 1970–2017, resulting in 23.1 [19.0; 28.3] million missing female births globally. The majority of those missing female births are in China, with 11.9 [8.5; 15.8] million, and in India, with 10.6 [8.0; 13.6] million. National Academy of Sciences 2019-05-07 2019-04-15 /pmc/articles/PMC6511063/ /pubmed/30988199 http://dx.doi.org/10.1073/pnas.1812593116 Text en Copyright © 2019 the Author(s). Published by PNAS. https://creativecommons.org/licenses/by-nc-nd/4.0/ This open access article is distributed under Creative Commons Attribution-NonCommercial-NoDerivatives License 4.0 (CC BY-NC-ND) (https://creativecommons.org/licenses/by-nc-nd/4.0/) . |
spellingShingle | PNAS Plus Chao, Fengqing Gerland, Patrick Cook, Alex R. Alkema, Leontine Systematic assessment of the sex ratio at birth for all countries and estimation of national imbalances and regional reference levels |
title | Systematic assessment of the sex ratio at birth for all countries and estimation of national imbalances and regional reference levels |
title_full | Systematic assessment of the sex ratio at birth for all countries and estimation of national imbalances and regional reference levels |
title_fullStr | Systematic assessment of the sex ratio at birth for all countries and estimation of national imbalances and regional reference levels |
title_full_unstemmed | Systematic assessment of the sex ratio at birth for all countries and estimation of national imbalances and regional reference levels |
title_short | Systematic assessment of the sex ratio at birth for all countries and estimation of national imbalances and regional reference levels |
title_sort | systematic assessment of the sex ratio at birth for all countries and estimation of national imbalances and regional reference levels |
topic | PNAS Plus |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6511063/ https://www.ncbi.nlm.nih.gov/pubmed/30988199 http://dx.doi.org/10.1073/pnas.1812593116 |
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