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Stillbirths in Cameroon: an analysis of the 1998–2011 demographic and health surveys

BACKGROUND: Many countries, including Cameroon, have found it challenging to estimate stillbirths, as there are limited available reports accurately. This analysis aimed to assess stillbirth rates and identify risk factors for stillbirth in Cameroon using successive Demographic and Health Survey dat...

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Autores principales: Amani, Adidja, Nansseu, Jobert Richie, Ndeffo, Guy Ferdinand, Njoh, Andreas Ateke, Cheuyem, Fabrice Zobel Lekeumo, Libite, Paul Roger, Ateba, Athanase A., Ngo Bama, Solange, Baye, Martina Lukong, Nguefack-Tsague, Georges, Enow Mbu, Robinson
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9526320/
https://www.ncbi.nlm.nih.gov/pubmed/36183095
http://dx.doi.org/10.1186/s12884-022-04993-5
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author Amani, Adidja
Nansseu, Jobert Richie
Ndeffo, Guy Ferdinand
Njoh, Andreas Ateke
Cheuyem, Fabrice Zobel Lekeumo
Libite, Paul Roger
Ateba, Athanase A.
Ngo Bama, Solange
Baye, Martina Lukong
Nguefack-Tsague, Georges
Enow Mbu, Robinson
author_facet Amani, Adidja
Nansseu, Jobert Richie
Ndeffo, Guy Ferdinand
Njoh, Andreas Ateke
Cheuyem, Fabrice Zobel Lekeumo
Libite, Paul Roger
Ateba, Athanase A.
Ngo Bama, Solange
Baye, Martina Lukong
Nguefack-Tsague, Georges
Enow Mbu, Robinson
author_sort Amani, Adidja
collection PubMed
description BACKGROUND: Many countries, including Cameroon, have found it challenging to estimate stillbirths, as there are limited available reports accurately. This analysis aimed to assess stillbirth rates and identify risk factors for stillbirth in Cameroon using successive Demographic and Health Survey data. METHODS: We conducted a cross-sectional analysis of data collected during the Demographic and Health Surveys of 1998, 2004, and 2011. Data were analyzed using SPSS 20.0. Logistic regressions were used to identify factors associated with stillbirth through odds ratios (ORs) at 95% confidence intervals (CI). Results were considered statistically significant at p-value less than 0.05. RESULTS: The crude stillbirth rate was 21.4 per 1,000 births in 2004 and 24 per 1,000 births in 2011, with respective standard errors of 1.8 and 1.3. The stillbirth rate increased with the mother's age (p < 0.001). The stillbirth rate reduction was prolonged between 1998 and 2011, with an annual reduction rate of 1.6%. The study observed that residing in rural areas, low socioeconomic status, and low level of education were risk factors associated with stillbirths. CONCLUSION: Cameroon's stillbirth rate remains very high, with a slow reduction rate over the last 20 years. Although some efforts are ongoing, there is still a long way forward to bend the curve for stillbirths in Cameroon; supplementary strategies must be designed and implemented, especially among rural women, the poor, and the less educated.
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spelling pubmed-95263202022-10-02 Stillbirths in Cameroon: an analysis of the 1998–2011 demographic and health surveys Amani, Adidja Nansseu, Jobert Richie Ndeffo, Guy Ferdinand Njoh, Andreas Ateke Cheuyem, Fabrice Zobel Lekeumo Libite, Paul Roger Ateba, Athanase A. Ngo Bama, Solange Baye, Martina Lukong Nguefack-Tsague, Georges Enow Mbu, Robinson BMC Pregnancy Childbirth Research BACKGROUND: Many countries, including Cameroon, have found it challenging to estimate stillbirths, as there are limited available reports accurately. This analysis aimed to assess stillbirth rates and identify risk factors for stillbirth in Cameroon using successive Demographic and Health Survey data. METHODS: We conducted a cross-sectional analysis of data collected during the Demographic and Health Surveys of 1998, 2004, and 2011. Data were analyzed using SPSS 20.0. Logistic regressions were used to identify factors associated with stillbirth through odds ratios (ORs) at 95% confidence intervals (CI). Results were considered statistically significant at p-value less than 0.05. RESULTS: The crude stillbirth rate was 21.4 per 1,000 births in 2004 and 24 per 1,000 births in 2011, with respective standard errors of 1.8 and 1.3. The stillbirth rate increased with the mother's age (p < 0.001). The stillbirth rate reduction was prolonged between 1998 and 2011, with an annual reduction rate of 1.6%. The study observed that residing in rural areas, low socioeconomic status, and low level of education were risk factors associated with stillbirths. CONCLUSION: Cameroon's stillbirth rate remains very high, with a slow reduction rate over the last 20 years. Although some efforts are ongoing, there is still a long way forward to bend the curve for stillbirths in Cameroon; supplementary strategies must be designed and implemented, especially among rural women, the poor, and the less educated. BioMed Central 2022-10-01 /pmc/articles/PMC9526320/ /pubmed/36183095 http://dx.doi.org/10.1186/s12884-022-04993-5 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Amani, Adidja
Nansseu, Jobert Richie
Ndeffo, Guy Ferdinand
Njoh, Andreas Ateke
Cheuyem, Fabrice Zobel Lekeumo
Libite, Paul Roger
Ateba, Athanase A.
Ngo Bama, Solange
Baye, Martina Lukong
Nguefack-Tsague, Georges
Enow Mbu, Robinson
Stillbirths in Cameroon: an analysis of the 1998–2011 demographic and health surveys
title Stillbirths in Cameroon: an analysis of the 1998–2011 demographic and health surveys
title_full Stillbirths in Cameroon: an analysis of the 1998–2011 demographic and health surveys
title_fullStr Stillbirths in Cameroon: an analysis of the 1998–2011 demographic and health surveys
title_full_unstemmed Stillbirths in Cameroon: an analysis of the 1998–2011 demographic and health surveys
title_short Stillbirths in Cameroon: an analysis of the 1998–2011 demographic and health surveys
title_sort stillbirths in cameroon: an analysis of the 1998–2011 demographic and health surveys
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9526320/
https://www.ncbi.nlm.nih.gov/pubmed/36183095
http://dx.doi.org/10.1186/s12884-022-04993-5
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