Factors associated with preterm, early preterm and late preterm birth in Malawi.

<h4>Background</h4>Assessment of risk factors for preterm birth in a population with high incidence of preterm birth and HIV infection.<h4>Methods</h4>Secondary analysis of data for 2,149 women included in a community based randomized placebo controlled trial for the preventi...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Nynke R van den Broek, Rachel Jean-Baptiste, James P Neilson
Formato: article
Lenguaje:EN
Publicado: Public Library of Science (PLoS) 2014
Materias:
R
Q
Acceso en línea:https://doaj.org/article/46e6a0e4183348b681be1443c16980ce
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
id oai:doaj.org-article:46e6a0e4183348b681be1443c16980ce
record_format dspace
spelling oai:doaj.org-article:46e6a0e4183348b681be1443c16980ce2021-11-18T08:29:59ZFactors associated with preterm, early preterm and late preterm birth in Malawi.1932-620310.1371/journal.pone.0090128https://doaj.org/article/46e6a0e4183348b681be1443c16980ce2014-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/24595186/?tool=EBIhttps://doaj.org/toc/1932-6203<h4>Background</h4>Assessment of risk factors for preterm birth in a population with high incidence of preterm birth and HIV infection.<h4>Methods</h4>Secondary analysis of data for 2,149 women included in a community based randomized placebo controlled trial for the prevention of preterm birth (APPLe trial (ISRCTN84023116) with gestational age at birth determined through ultrasound measurement in early pregnancy. Multivariate Logistic Regression analyses to obtain models for three outcome variables: all preterm, early preterm, and late preterm birth.<h4>Findings</h4>No statistical differences were noted for the prevalence of HIV infection (p = 0.30) or syphilis (p = 0.12) between women who delivered preterm versus term. BMI (Adjusted OR 0.91 (0.85-0.97); p = 0.005) and weight gain (Adjusted OR 0.89 (0.82-0.97); p = 0.006) had an independent, protective effect. Previous preterm birth doubled the odds of preterm birth (Adjusted OR 2.13 (1.198-3.80); p = 0.01). Persistent malaria (despite malaria prophylaxis) increased the risk of late preterm birth (Adjusted OR 1.99 (1.05-3.79); p = 0.04). Age <20 (Adjusted OR 1.73 (1.03-2.90); p = 0.04) and anemia (Adjusted OR 1.95 (1.08-3.52); p = 0.03) were associated with early preterm birth (<34 weeks).<h4>Conclusions</h4>Despite claims that HIV infection is an important cause of preterm birth in Africa, we found no evidence of an association in this population (unexposed to anti-retroviral treatment). Persistent malaria was associated with late preterm birth. Maternal undernourishment and anemia were independently associated with early preterm birth. The study did not assess whether the link was direct or whether a common precursor such as chronic infection was responsible for both maternal effects and early labour.Nynke R van den BroekRachel Jean-BaptisteJames P NeilsonPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 9, Iss 3, p e90128 (2014)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Nynke R van den Broek
Rachel Jean-Baptiste
James P Neilson
Factors associated with preterm, early preterm and late preterm birth in Malawi.
description <h4>Background</h4>Assessment of risk factors for preterm birth in a population with high incidence of preterm birth and HIV infection.<h4>Methods</h4>Secondary analysis of data for 2,149 women included in a community based randomized placebo controlled trial for the prevention of preterm birth (APPLe trial (ISRCTN84023116) with gestational age at birth determined through ultrasound measurement in early pregnancy. Multivariate Logistic Regression analyses to obtain models for three outcome variables: all preterm, early preterm, and late preterm birth.<h4>Findings</h4>No statistical differences were noted for the prevalence of HIV infection (p = 0.30) or syphilis (p = 0.12) between women who delivered preterm versus term. BMI (Adjusted OR 0.91 (0.85-0.97); p = 0.005) and weight gain (Adjusted OR 0.89 (0.82-0.97); p = 0.006) had an independent, protective effect. Previous preterm birth doubled the odds of preterm birth (Adjusted OR 2.13 (1.198-3.80); p = 0.01). Persistent malaria (despite malaria prophylaxis) increased the risk of late preterm birth (Adjusted OR 1.99 (1.05-3.79); p = 0.04). Age <20 (Adjusted OR 1.73 (1.03-2.90); p = 0.04) and anemia (Adjusted OR 1.95 (1.08-3.52); p = 0.03) were associated with early preterm birth (<34 weeks).<h4>Conclusions</h4>Despite claims that HIV infection is an important cause of preterm birth in Africa, we found no evidence of an association in this population (unexposed to anti-retroviral treatment). Persistent malaria was associated with late preterm birth. Maternal undernourishment and anemia were independently associated with early preterm birth. The study did not assess whether the link was direct or whether a common precursor such as chronic infection was responsible for both maternal effects and early labour.
format article
author Nynke R van den Broek
Rachel Jean-Baptiste
James P Neilson
author_facet Nynke R van den Broek
Rachel Jean-Baptiste
James P Neilson
author_sort Nynke R van den Broek
title Factors associated with preterm, early preterm and late preterm birth in Malawi.
title_short Factors associated with preterm, early preterm and late preterm birth in Malawi.
title_full Factors associated with preterm, early preterm and late preterm birth in Malawi.
title_fullStr Factors associated with preterm, early preterm and late preterm birth in Malawi.
title_full_unstemmed Factors associated with preterm, early preterm and late preterm birth in Malawi.
title_sort factors associated with preterm, early preterm and late preterm birth in malawi.
publisher Public Library of Science (PLoS)
publishDate 2014
url https://doaj.org/article/46e6a0e4183348b681be1443c16980ce
work_keys_str_mv AT nynkervandenbroek factorsassociatedwithpretermearlypretermandlatepretermbirthinmalawi
AT racheljeanbaptiste factorsassociatedwithpretermearlypretermandlatepretermbirthinmalawi
AT jamespneilson factorsassociatedwithpretermearlypretermandlatepretermbirthinmalawi
_version_ 1718421735485734912