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Trends and population-attributable risk estimates for predictors of early neonatal mortality in Nigeria, 2003–2013: a cross-sectional analysis

OBJECTIVES: To assess trends in early neonatal mortality (ENM) and population-attributable risk (PAR) estimates for predictors of ENM in Nigeria. DESIGN, SETTING AND PARTICIPANTS: A cross-sectional data on 63 844 singleton live births within the preceding 5 years from the 2003, 2008 and 2013 Nigeria...

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Autor principal: Ezeh, Osita Kingsley
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Open 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5623451/
https://www.ncbi.nlm.nih.gov/pubmed/28515184
http://dx.doi.org/10.1136/bmjopen-2016-013350
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author Ezeh, Osita Kingsley
author_facet Ezeh, Osita Kingsley
author_sort Ezeh, Osita Kingsley
collection PubMed
description OBJECTIVES: To assess trends in early neonatal mortality (ENM) and population-attributable risk (PAR) estimates for predictors of ENM in Nigeria. DESIGN, SETTING AND PARTICIPANTS: A cross-sectional data on 63 844 singleton live births within the preceding 5 years from the 2003, 2008 and 2013 Nigeria Demographic and Health Surveys were used. Adjusted PARs were used to estimate the number of early neonatal deaths attributable to each predictor in the final multivariable Cox regression model. MAIN OUTCOME MEASURES: ENM, defined as the death of a live-born singleton between birth and 6 days of life. RESULTS: The ENM rate slightly declined from 30.5 (95% CI 26.1 to 34.9) to 26.1 (CI 24.3 to 27.9) during the study period. Approximately 36 746 (CI 14 656 to 56 920) and 37 752 (CI 23 433 to 51 126) early neonatal deaths were attributable to rural residence and male sex, respectively. Other significant predictors of ENM included small neonates (attributable number: 25 884, CI 19 172 to 31 953), maternal age <20 years (11 708, CI 8521 to 17 042), caesarean section (6312, CI 4260 to 8521) and birth order ≥4 with a short birth interval (≤2 years) (18 929, CI 12 781 to 25 563)). CONCLUSIONS: To improve early neonatal survival in Nigeria, community-based interventions are needed for small neonates, and to promote delayed first pregnancy, child spacing and timely referral for sick male neonates and caesarean delivery.
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spelling pubmed-56234512017-10-10 Trends and population-attributable risk estimates for predictors of early neonatal mortality in Nigeria, 2003–2013: a cross-sectional analysis Ezeh, Osita Kingsley BMJ Open Public Health OBJECTIVES: To assess trends in early neonatal mortality (ENM) and population-attributable risk (PAR) estimates for predictors of ENM in Nigeria. DESIGN, SETTING AND PARTICIPANTS: A cross-sectional data on 63 844 singleton live births within the preceding 5 years from the 2003, 2008 and 2013 Nigeria Demographic and Health Surveys were used. Adjusted PARs were used to estimate the number of early neonatal deaths attributable to each predictor in the final multivariable Cox regression model. MAIN OUTCOME MEASURES: ENM, defined as the death of a live-born singleton between birth and 6 days of life. RESULTS: The ENM rate slightly declined from 30.5 (95% CI 26.1 to 34.9) to 26.1 (CI 24.3 to 27.9) during the study period. Approximately 36 746 (CI 14 656 to 56 920) and 37 752 (CI 23 433 to 51 126) early neonatal deaths were attributable to rural residence and male sex, respectively. Other significant predictors of ENM included small neonates (attributable number: 25 884, CI 19 172 to 31 953), maternal age <20 years (11 708, CI 8521 to 17 042), caesarean section (6312, CI 4260 to 8521) and birth order ≥4 with a short birth interval (≤2 years) (18 929, CI 12 781 to 25 563)). CONCLUSIONS: To improve early neonatal survival in Nigeria, community-based interventions are needed for small neonates, and to promote delayed first pregnancy, child spacing and timely referral for sick male neonates and caesarean delivery. BMJ Open 2017-05-17 /pmc/articles/PMC5623451/ /pubmed/28515184 http://dx.doi.org/10.1136/bmjopen-2016-013350 Text en © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2017. All rights reserved. No commercial use is permitted unless otherwise expressly granted. This is an Open Access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/
spellingShingle Public Health
Ezeh, Osita Kingsley
Trends and population-attributable risk estimates for predictors of early neonatal mortality in Nigeria, 2003–2013: a cross-sectional analysis
title Trends and population-attributable risk estimates for predictors of early neonatal mortality in Nigeria, 2003–2013: a cross-sectional analysis
title_full Trends and population-attributable risk estimates for predictors of early neonatal mortality in Nigeria, 2003–2013: a cross-sectional analysis
title_fullStr Trends and population-attributable risk estimates for predictors of early neonatal mortality in Nigeria, 2003–2013: a cross-sectional analysis
title_full_unstemmed Trends and population-attributable risk estimates for predictors of early neonatal mortality in Nigeria, 2003–2013: a cross-sectional analysis
title_short Trends and population-attributable risk estimates for predictors of early neonatal mortality in Nigeria, 2003–2013: a cross-sectional analysis
title_sort trends and population-attributable risk estimates for predictors of early neonatal mortality in nigeria, 2003–2013: a cross-sectional analysis
topic Public Health
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5623451/
https://www.ncbi.nlm.nih.gov/pubmed/28515184
http://dx.doi.org/10.1136/bmjopen-2016-013350
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