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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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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BMJ Open
2017
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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. |
format | Online Article Text |
id | pubmed-5623451 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | BMJ Open |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT ezehositakingsley trendsandpopulationattributableriskestimatesforpredictorsofearlyneonatalmortalityinnigeria20032013acrosssectionalanalysis |