Joint Modeling of Singleton Preterm Birth and Perinatal Death Using Birth Registry Cohort Data in Northern Tanzania
Understanding independent and joint predictors of adverse pregnancy outcomes is essential to inform interventions toward achieving sustainable development goals. We aimed to determine the joint predictors of preterm birth and perinatal death among singleton births in northern Tanzania based on cohor...
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Format: | Article |
Language: | English |
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Frontiers Media S.A.
2021-11-01
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Series: | Frontiers in Pediatrics |
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Online Access: | https://www.frontiersin.org/articles/10.3389/fped.2021.749707/full |
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author | Innocent B. Mboya Innocent B. Mboya Michael J. Mahande Joseph Obure Henry G. Mwambi |
author_facet | Innocent B. Mboya Innocent B. Mboya Michael J. Mahande Joseph Obure Henry G. Mwambi |
author_sort | Innocent B. Mboya |
collection | DOAJ |
description | Understanding independent and joint predictors of adverse pregnancy outcomes is essential to inform interventions toward achieving sustainable development goals. We aimed to determine the joint predictors of preterm birth and perinatal death among singleton births in northern Tanzania based on cohort data from the Kilimanjaro Christian Medical Center (KCMC) zonal referral hospital birth registry between 2000 and 2017. We determined the joint predictors of preterm birth and perinatal death using the random-effects models to account for the correlation between these outcomes. The joint predictors of higher preterm birth and perinatal death risk were inadequate (<4) antenatal care (ANC) visits, referred for delivery, experiencing pre-eclampsia/eclampsia, postpartum hemorrhage, low birth weight, abruption placenta, and breech presentation. Younger maternal age (15–24 years), premature rupture of membranes, placenta previa, and male children had higher odds of preterm birth but a lessened likelihood of perinatal death. These findings suggest ANC is a critical entry point for delivering the recommended interventions to pregnant women, especially those at high risk of experiencing adverse pregnancy outcomes. Improved management of complications during pregnancy and childbirth and the postnatal period may eventually lead to a substantial reduction of adverse perinatal outcomes and improving maternal and child health. |
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format | Article |
id | doaj.art-2e978cab2f6d45c6931c440a53ea6b5e |
institution | Directory Open Access Journal |
issn | 2296-2360 |
language | English |
last_indexed | 2024-12-14T13:28:41Z |
publishDate | 2021-11-01 |
publisher | Frontiers Media S.A. |
record_format | Article |
series | Frontiers in Pediatrics |
spelling | doaj.art-2e978cab2f6d45c6931c440a53ea6b5e2022-12-21T22:59:45ZengFrontiers Media S.A.Frontiers in Pediatrics2296-23602021-11-01910.3389/fped.2021.749707749707Joint Modeling of Singleton Preterm Birth and Perinatal Death Using Birth Registry Cohort Data in Northern TanzaniaInnocent B. Mboya0Innocent B. Mboya1Michael J. Mahande2Joseph Obure3Henry G. Mwambi4School of Mathematics, Statistics, and Computer Science, University of KwaZulu-Natal, Pietermaritzburg, South AfricaDepartment of Epidemiology and Biostatistics, Institute of Public Health, Kilimanjaro Christian Medical University College, Moshi, TanzaniaDepartment of Epidemiology and Biostatistics, Institute of Public Health, Kilimanjaro Christian Medical University College, Moshi, TanzaniaDepartment of Obstetrics and Gynecology, Kilimanjaro Christian Medical Center, Moshi, TanzaniaSchool of Mathematics, Statistics, and Computer Science, University of KwaZulu-Natal, Pietermaritzburg, South AfricaUnderstanding independent and joint predictors of adverse pregnancy outcomes is essential to inform interventions toward achieving sustainable development goals. We aimed to determine the joint predictors of preterm birth and perinatal death among singleton births in northern Tanzania based on cohort data from the Kilimanjaro Christian Medical Center (KCMC) zonal referral hospital birth registry between 2000 and 2017. We determined the joint predictors of preterm birth and perinatal death using the random-effects models to account for the correlation between these outcomes. The joint predictors of higher preterm birth and perinatal death risk were inadequate (<4) antenatal care (ANC) visits, referred for delivery, experiencing pre-eclampsia/eclampsia, postpartum hemorrhage, low birth weight, abruption placenta, and breech presentation. Younger maternal age (15–24 years), premature rupture of membranes, placenta previa, and male children had higher odds of preterm birth but a lessened likelihood of perinatal death. These findings suggest ANC is a critical entry point for delivering the recommended interventions to pregnant women, especially those at high risk of experiencing adverse pregnancy outcomes. Improved management of complications during pregnancy and childbirth and the postnatal period may eventually lead to a substantial reduction of adverse perinatal outcomes and improving maternal and child health.https://www.frontiersin.org/articles/10.3389/fped.2021.749707/fullpreterm birthperinatal deathjoint modelingbivariate binary outcomesadverse perinatal outcomessub-Saharan Africa |
spellingShingle | Innocent B. Mboya Innocent B. Mboya Michael J. Mahande Joseph Obure Henry G. Mwambi Joint Modeling of Singleton Preterm Birth and Perinatal Death Using Birth Registry Cohort Data in Northern Tanzania Frontiers in Pediatrics preterm birth perinatal death joint modeling bivariate binary outcomes adverse perinatal outcomes sub-Saharan Africa |
title | Joint Modeling of Singleton Preterm Birth and Perinatal Death Using Birth Registry Cohort Data in Northern Tanzania |
title_full | Joint Modeling of Singleton Preterm Birth and Perinatal Death Using Birth Registry Cohort Data in Northern Tanzania |
title_fullStr | Joint Modeling of Singleton Preterm Birth and Perinatal Death Using Birth Registry Cohort Data in Northern Tanzania |
title_full_unstemmed | Joint Modeling of Singleton Preterm Birth and Perinatal Death Using Birth Registry Cohort Data in Northern Tanzania |
title_short | Joint Modeling of Singleton Preterm Birth and Perinatal Death Using Birth Registry Cohort Data in Northern Tanzania |
title_sort | joint modeling of singleton preterm birth and perinatal death using birth registry cohort data in northern tanzania |
topic | preterm birth perinatal death joint modeling bivariate binary outcomes adverse perinatal outcomes sub-Saharan Africa |
url | https://www.frontiersin.org/articles/10.3389/fped.2021.749707/full |
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