Cargando…
Incidence and risk factors of preterm birth in a rural Bangladeshi cohort
BACKGROUND: Globally, about 15 million neonates are born preterm and about 85% of global preterm birth occurs in Asia and Africa regions. We aimed to estimate the incidence and risk factors for preterm birth in a rural Bangladeshi cohort. METHODS: Between June 2007 and September 2009, community heal...
Autores principales: | , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2014
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4021459/ https://www.ncbi.nlm.nih.gov/pubmed/24758701 http://dx.doi.org/10.1186/1471-2431-14-112 |
_version_ | 1782316241558437888 |
---|---|
author | Shah, Rashed Mullany, Luke C Darmstadt, Gary L Mannan, Ishtiaq Rahman, Syed Moshfiqur Talukder, Radwanur Rahman Applegate, Jennifer A Begum, Nazma Mitra, Dipak Arifeen, Shams El Baqui, Abdullah H |
author_facet | Shah, Rashed Mullany, Luke C Darmstadt, Gary L Mannan, Ishtiaq Rahman, Syed Moshfiqur Talukder, Radwanur Rahman Applegate, Jennifer A Begum, Nazma Mitra, Dipak Arifeen, Shams El Baqui, Abdullah H |
author_sort | Shah, Rashed |
collection | PubMed |
description | BACKGROUND: Globally, about 15 million neonates are born preterm and about 85% of global preterm birth occurs in Asia and Africa regions. We aimed to estimate the incidence and risk factors for preterm birth in a rural Bangladeshi cohort. METHODS: Between June 2007 and September 2009, community health workers prospectively collected data from 32,126 mother-live-born baby pairs on household socio-demographic status, pregnancy history, antenatal care seeking and newborn gestational age determined by recall of date of last menstrual period. RESULTS: Among all live births, 22.3% were delivered prior to 37 weeks of gestation (i.e. preterm); of which 12.3% were born at 35–36 weeks of gestation (late preterm), 7.1% were born at 32–34 weeks (moderate preterm), and 2.9% were born at 28–31 weeks of gestation (very preterm). Overall, the majority of preterm births (55.1%) were late preterm. Risk of preterm birth was lower among women with primary or higher level of education (RR: 0.92; 95% CI: 0.88, 0.97), women who sought antenatal care at least once during the index pregnancy (RR: 0.86; 95% CI: 0.83, 0.90), and women who had completed all birth preparedness steps (RR: 0.32; 95% CI: 0.30, 0.34). In contrast, risk of preterm birth was higher among women with a history of child death (RR: 1.05; 95% CI: 1.01, 1.10), who had mid-upper arm circumference (MUAC) ≤250 mm, indicative of under nutrition (for women having MUAC <214 mm the risk was higher; RR: 1.26; 95% CI: 1.17, 1.35), who reported an antenatal complication (RR: 1.32; 95% CI: 1.14, 1.53), and who received iron-folic acid supplementation for 2–6 months during the index pregnancy (RR: 1.33; 95% CI: 1.24, 1.44). CONCLUSIONS: In resource poor settings with high burden of preterm birth, alike Bangladesh, preterm birth risk could be reduced by close monitoring and/or frequent follow-up of women with history of child death and antenatal complications, by encouraging women to seek antenatal care from qualified providers, to adopt birth preparedness planning and to maintain good nutritional status. Additional research is needed to further explore the associations of antenatal iron supplementation and maternal nutritional status on preterm birth. |
format | Online Article Text |
id | pubmed-4021459 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-40214592014-05-16 Incidence and risk factors of preterm birth in a rural Bangladeshi cohort Shah, Rashed Mullany, Luke C Darmstadt, Gary L Mannan, Ishtiaq Rahman, Syed Moshfiqur Talukder, Radwanur Rahman Applegate, Jennifer A Begum, Nazma Mitra, Dipak Arifeen, Shams El Baqui, Abdullah H BMC Pediatr Research Article BACKGROUND: Globally, about 15 million neonates are born preterm and about 85% of global preterm birth occurs in Asia and Africa regions. We aimed to estimate the incidence and risk factors for preterm birth in a rural Bangladeshi cohort. METHODS: Between June 2007 and September 2009, community health workers prospectively collected data from 32,126 mother-live-born baby pairs on household socio-demographic status, pregnancy history, antenatal care seeking and newborn gestational age determined by recall of date of last menstrual period. RESULTS: Among all live births, 22.3% were delivered prior to 37 weeks of gestation (i.e. preterm); of which 12.3% were born at 35–36 weeks of gestation (late preterm), 7.1% were born at 32–34 weeks (moderate preterm), and 2.9% were born at 28–31 weeks of gestation (very preterm). Overall, the majority of preterm births (55.1%) were late preterm. Risk of preterm birth was lower among women with primary or higher level of education (RR: 0.92; 95% CI: 0.88, 0.97), women who sought antenatal care at least once during the index pregnancy (RR: 0.86; 95% CI: 0.83, 0.90), and women who had completed all birth preparedness steps (RR: 0.32; 95% CI: 0.30, 0.34). In contrast, risk of preterm birth was higher among women with a history of child death (RR: 1.05; 95% CI: 1.01, 1.10), who had mid-upper arm circumference (MUAC) ≤250 mm, indicative of under nutrition (for women having MUAC <214 mm the risk was higher; RR: 1.26; 95% CI: 1.17, 1.35), who reported an antenatal complication (RR: 1.32; 95% CI: 1.14, 1.53), and who received iron-folic acid supplementation for 2–6 months during the index pregnancy (RR: 1.33; 95% CI: 1.24, 1.44). CONCLUSIONS: In resource poor settings with high burden of preterm birth, alike Bangladesh, preterm birth risk could be reduced by close monitoring and/or frequent follow-up of women with history of child death and antenatal complications, by encouraging women to seek antenatal care from qualified providers, to adopt birth preparedness planning and to maintain good nutritional status. Additional research is needed to further explore the associations of antenatal iron supplementation and maternal nutritional status on preterm birth. BioMed Central 2014-04-24 /pmc/articles/PMC4021459/ /pubmed/24758701 http://dx.doi.org/10.1186/1471-2431-14-112 Text en Copyright © 2014 Shah et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. 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 Shah, Rashed Mullany, Luke C Darmstadt, Gary L Mannan, Ishtiaq Rahman, Syed Moshfiqur Talukder, Radwanur Rahman Applegate, Jennifer A Begum, Nazma Mitra, Dipak Arifeen, Shams El Baqui, Abdullah H Incidence and risk factors of preterm birth in a rural Bangladeshi cohort |
title | Incidence and risk factors of preterm birth in a rural Bangladeshi cohort |
title_full | Incidence and risk factors of preterm birth in a rural Bangladeshi cohort |
title_fullStr | Incidence and risk factors of preterm birth in a rural Bangladeshi cohort |
title_full_unstemmed | Incidence and risk factors of preterm birth in a rural Bangladeshi cohort |
title_short | Incidence and risk factors of preterm birth in a rural Bangladeshi cohort |
title_sort | incidence and risk factors of preterm birth in a rural bangladeshi cohort |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4021459/ https://www.ncbi.nlm.nih.gov/pubmed/24758701 http://dx.doi.org/10.1186/1471-2431-14-112 |
work_keys_str_mv | AT shahrashed incidenceandriskfactorsofpretermbirthinaruralbangladeshicohort AT mullanylukec incidenceandriskfactorsofpretermbirthinaruralbangladeshicohort AT darmstadtgaryl incidenceandriskfactorsofpretermbirthinaruralbangladeshicohort AT mannanishtiaq incidenceandriskfactorsofpretermbirthinaruralbangladeshicohort AT rahmansyedmoshfiqur incidenceandriskfactorsofpretermbirthinaruralbangladeshicohort AT talukderradwanurrahman incidenceandriskfactorsofpretermbirthinaruralbangladeshicohort AT applegatejennifera incidenceandriskfactorsofpretermbirthinaruralbangladeshicohort AT begumnazma incidenceandriskfactorsofpretermbirthinaruralbangladeshicohort AT mitradipak incidenceandriskfactorsofpretermbirthinaruralbangladeshicohort AT arifeenshamsel incidenceandriskfactorsofpretermbirthinaruralbangladeshicohort AT baquiabdullahh incidenceandriskfactorsofpretermbirthinaruralbangladeshicohort |