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Factors associated with perinatal mortality in Nepal: evidence from Nepal demographic and health survey 2001–2016
BACKGROUND: Perinatal mortality is a devastating pregnancy outcome affecting millions of families in many low and middle-income countries including Nepal. This paper examined the more distant factors associated with perinatal mortality in Nepal. METHODS: A sample of 23,335 pregnancies > 28 weeks’...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6417106/ https://www.ncbi.nlm.nih.gov/pubmed/30866847 http://dx.doi.org/10.1186/s12884-019-2234-6 |
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author | Ghimire, Pramesh Raj Agho, Kingsley E. Renzaho, Andre M. N. Nisha, Monjura K. Dibley, Michael Raynes-Greenow, Camille |
author_facet | Ghimire, Pramesh Raj Agho, Kingsley E. Renzaho, Andre M. N. Nisha, Monjura K. Dibley, Michael Raynes-Greenow, Camille |
author_sort | Ghimire, Pramesh Raj |
collection | PubMed |
description | BACKGROUND: Perinatal mortality is a devastating pregnancy outcome affecting millions of families in many low and middle-income countries including Nepal. This paper examined the more distant factors associated with perinatal mortality in Nepal. METHODS: A sample of 23,335 pregnancies > 28 weeks’ gestation from the Nepal Demographic and Health Survey datasets for the period (2001–2016) was analysed. Perinatal Mortality (PM) is defined as the sum of stillbirth (fetal deaths in pregnancies > 28 weeks’ gestation) and early neonatal mortality (deaths within the first week of life), while Extended Perinatal Mortality (EPM) is denoted as the sum of stillbirth and neonatal mortality (deaths within the first 28 days of life). Rates of PM and EPM were calculated. Logistic regression generalized linear latent and mixed models (GLLAMM) that adjusted for clustering and sampling weight was used to examine the factor associated with perinatal mortality. RESULTS: Over the study period, the PMR was 42 [95% Confidence Interval (CI): 39, 44] per 1000 births for the five-year before each survey; while corresponding EPMR was 49 (95% CI, 46, 51) per 1000 births. Multivariable analyses revealed that women residing in the mountains, who did not use contraceptives, women aged 15–18 years or 19–24 years, and women having no education were associated with increased PM and EPM. The study also identified households using biomass as cooking fuel, and households who reported unimproved sanitation or open defecation were significantly more likely to experience PM and EPM. CONCLUSIONS: Interventions aimed to improve use of contraceptives, and reduce biomass as a source of cooking fuel are needed to achieve the recommended target of < 12 perinatal deaths per 1000 births by 2030. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12884-019-2234-6) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-6417106 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-64171062019-03-25 Factors associated with perinatal mortality in Nepal: evidence from Nepal demographic and health survey 2001–2016 Ghimire, Pramesh Raj Agho, Kingsley E. Renzaho, Andre M. N. Nisha, Monjura K. Dibley, Michael Raynes-Greenow, Camille BMC Pregnancy Childbirth Research Article BACKGROUND: Perinatal mortality is a devastating pregnancy outcome affecting millions of families in many low and middle-income countries including Nepal. This paper examined the more distant factors associated with perinatal mortality in Nepal. METHODS: A sample of 23,335 pregnancies > 28 weeks’ gestation from the Nepal Demographic and Health Survey datasets for the period (2001–2016) was analysed. Perinatal Mortality (PM) is defined as the sum of stillbirth (fetal deaths in pregnancies > 28 weeks’ gestation) and early neonatal mortality (deaths within the first week of life), while Extended Perinatal Mortality (EPM) is denoted as the sum of stillbirth and neonatal mortality (deaths within the first 28 days of life). Rates of PM and EPM were calculated. Logistic regression generalized linear latent and mixed models (GLLAMM) that adjusted for clustering and sampling weight was used to examine the factor associated with perinatal mortality. RESULTS: Over the study period, the PMR was 42 [95% Confidence Interval (CI): 39, 44] per 1000 births for the five-year before each survey; while corresponding EPMR was 49 (95% CI, 46, 51) per 1000 births. Multivariable analyses revealed that women residing in the mountains, who did not use contraceptives, women aged 15–18 years or 19–24 years, and women having no education were associated with increased PM and EPM. The study also identified households using biomass as cooking fuel, and households who reported unimproved sanitation or open defecation were significantly more likely to experience PM and EPM. CONCLUSIONS: Interventions aimed to improve use of contraceptives, and reduce biomass as a source of cooking fuel are needed to achieve the recommended target of < 12 perinatal deaths per 1000 births by 2030. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12884-019-2234-6) contains supplementary material, which is available to authorized users. BioMed Central 2019-03-11 /pmc/articles/PMC6417106/ /pubmed/30866847 http://dx.doi.org/10.1186/s12884-019-2234-6 Text en © The Author(s). 2019 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. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Ghimire, Pramesh Raj Agho, Kingsley E. Renzaho, Andre M. N. Nisha, Monjura K. Dibley, Michael Raynes-Greenow, Camille Factors associated with perinatal mortality in Nepal: evidence from Nepal demographic and health survey 2001–2016 |
title | Factors associated with perinatal mortality in Nepal: evidence from Nepal demographic and health survey 2001–2016 |
title_full | Factors associated with perinatal mortality in Nepal: evidence from Nepal demographic and health survey 2001–2016 |
title_fullStr | Factors associated with perinatal mortality in Nepal: evidence from Nepal demographic and health survey 2001–2016 |
title_full_unstemmed | Factors associated with perinatal mortality in Nepal: evidence from Nepal demographic and health survey 2001–2016 |
title_short | Factors associated with perinatal mortality in Nepal: evidence from Nepal demographic and health survey 2001–2016 |
title_sort | factors associated with perinatal mortality in nepal: evidence from nepal demographic and health survey 2001–2016 |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6417106/ https://www.ncbi.nlm.nih.gov/pubmed/30866847 http://dx.doi.org/10.1186/s12884-019-2234-6 |
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