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Associations Between Sex Composition of Older Siblings and Infant Mortality in India from 1992 to 2016

BACKGROUND: This study examines associations between sex composition of older siblings and infant mortality by sex, to guide efforts to address excess female infant mortality in India. METHODS: We conducted a retrospective cross-sectional study of infant mortality in India using four waves of data f...

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Autores principales: Raj, Anita, Johns, Nicole E., McDougal, Lotus, Trivedi, Amruta, Bharadwaj, Prashant, Silverman, Jay G., Kumar, Kaushalendra, Ladusingh, Laishram, Singh, Abhishek
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6833454/
https://www.ncbi.nlm.nih.gov/pubmed/31709398
http://dx.doi.org/10.1016/j.eclinm.2019.08.016
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author Raj, Anita
Johns, Nicole E.
McDougal, Lotus
Trivedi, Amruta
Bharadwaj, Prashant
Silverman, Jay G.
Kumar, Kaushalendra
Ladusingh, Laishram
Singh, Abhishek
author_facet Raj, Anita
Johns, Nicole E.
McDougal, Lotus
Trivedi, Amruta
Bharadwaj, Prashant
Silverman, Jay G.
Kumar, Kaushalendra
Ladusingh, Laishram
Singh, Abhishek
author_sort Raj, Anita
collection PubMed
description BACKGROUND: This study examines associations between sex composition of older siblings and infant mortality by sex, to guide efforts to address excess female infant mortality in India. METHODS: We conducted a retrospective cross-sectional study of infant mortality in India using four waves of data from the nationally-representative National Family Health Survey, collected between 1992 and 2016 (unweighted N = 338,504 for children aged 1–5). We used sex-stratified multivariable logistic regression models to assess the associations between sex composition of older siblings and risk of infant mortality. FINDINGS: Male infants with two living older sisters and no living older brothers had lower odds of infant mortality relative to those with one living older brother (e.g., 2015–16 AOR 0.62, 95% CI 0.50–0.76); this effect was significant for boys across all waves of data but was not seen for girls in any wave. Exploratory models focused on third order births found that boys were less likely than girls to die in infancy if born subsequent to two older sisters (2015–16 AOR 0.48, 95% CI 0.31–0.74); analysis of crude prevalence data indicated that this converts into a 64% greater risk for infant mortality for girls relative to boys in this third-order group. INTERPRETATION: Higher birth order males with older sisters have greater protection against infant mortality, a finding that has persisted for over 25 years. To address ongoing gender inequities in infant survival in India, greater focus is needed to support higher birth order girls and social norm movements against son preference.
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spelling pubmed-68334542019-11-08 Associations Between Sex Composition of Older Siblings and Infant Mortality in India from 1992 to 2016 Raj, Anita Johns, Nicole E. McDougal, Lotus Trivedi, Amruta Bharadwaj, Prashant Silverman, Jay G. Kumar, Kaushalendra Ladusingh, Laishram Singh, Abhishek EClinicalMedicine Research Paper BACKGROUND: This study examines associations between sex composition of older siblings and infant mortality by sex, to guide efforts to address excess female infant mortality in India. METHODS: We conducted a retrospective cross-sectional study of infant mortality in India using four waves of data from the nationally-representative National Family Health Survey, collected between 1992 and 2016 (unweighted N = 338,504 for children aged 1–5). We used sex-stratified multivariable logistic regression models to assess the associations between sex composition of older siblings and risk of infant mortality. FINDINGS: Male infants with two living older sisters and no living older brothers had lower odds of infant mortality relative to those with one living older brother (e.g., 2015–16 AOR 0.62, 95% CI 0.50–0.76); this effect was significant for boys across all waves of data but was not seen for girls in any wave. Exploratory models focused on third order births found that boys were less likely than girls to die in infancy if born subsequent to two older sisters (2015–16 AOR 0.48, 95% CI 0.31–0.74); analysis of crude prevalence data indicated that this converts into a 64% greater risk for infant mortality for girls relative to boys in this third-order group. INTERPRETATION: Higher birth order males with older sisters have greater protection against infant mortality, a finding that has persisted for over 25 years. To address ongoing gender inequities in infant survival in India, greater focus is needed to support higher birth order girls and social norm movements against son preference. Elsevier 2019-09-08 /pmc/articles/PMC6833454/ /pubmed/31709398 http://dx.doi.org/10.1016/j.eclinm.2019.08.016 Text en © 2019 Published by Elsevier Ltd. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Research Paper
Raj, Anita
Johns, Nicole E.
McDougal, Lotus
Trivedi, Amruta
Bharadwaj, Prashant
Silverman, Jay G.
Kumar, Kaushalendra
Ladusingh, Laishram
Singh, Abhishek
Associations Between Sex Composition of Older Siblings and Infant Mortality in India from 1992 to 2016
title Associations Between Sex Composition of Older Siblings and Infant Mortality in India from 1992 to 2016
title_full Associations Between Sex Composition of Older Siblings and Infant Mortality in India from 1992 to 2016
title_fullStr Associations Between Sex Composition of Older Siblings and Infant Mortality in India from 1992 to 2016
title_full_unstemmed Associations Between Sex Composition of Older Siblings and Infant Mortality in India from 1992 to 2016
title_short Associations Between Sex Composition of Older Siblings and Infant Mortality in India from 1992 to 2016
title_sort associations between sex composition of older siblings and infant mortality in india from 1992 to 2016
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6833454/
https://www.ncbi.nlm.nih.gov/pubmed/31709398
http://dx.doi.org/10.1016/j.eclinm.2019.08.016
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