Cargando…

Time trends and sociodemographic determinants of preterm births in pregnancy cohorts in Matlab, Bangladesh, 1990–2014

INTRODUCTION: Preterm birth is the major cause of under-five mortality. Population-based data on determinants and proportions of children born preterm are limited, especially from low-income countries. This study aimed at assessing time trends and social, reproductive and environmental determinants...

Descripción completa

Detalles Bibliográficos
Autores principales: Rahman, Anisur, Rahman, Monjur, Pervin, Jesmin, Razzaque, Abdur, Aktar, Shaki, Ahmed, Jamal Uddin, Selling, Katarina Ekholm, Svefors, Pernilla, El Arifeen, Shams, Persson, Lars Åke
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6688682/
https://www.ncbi.nlm.nih.gov/pubmed/31423346
http://dx.doi.org/10.1136/bmjgh-2019-001462
_version_ 1783442926459682816
author Rahman, Anisur
Rahman, Monjur
Pervin, Jesmin
Razzaque, Abdur
Aktar, Shaki
Ahmed, Jamal Uddin
Selling, Katarina Ekholm
Svefors, Pernilla
El Arifeen, Shams
Persson, Lars Åke
author_facet Rahman, Anisur
Rahman, Monjur
Pervin, Jesmin
Razzaque, Abdur
Aktar, Shaki
Ahmed, Jamal Uddin
Selling, Katarina Ekholm
Svefors, Pernilla
El Arifeen, Shams
Persson, Lars Åke
author_sort Rahman, Anisur
collection PubMed
description INTRODUCTION: Preterm birth is the major cause of under-five mortality. Population-based data on determinants and proportions of children born preterm are limited, especially from low-income countries. This study aimed at assessing time trends and social, reproductive and environmental determinants of preterm births based on a population-based pregnancy cohort over 25 years in rural Bangladesh. METHODS: In this cohort study in Matlab, a rural area in Bangladesh, we used data from the Health and Demographic Surveillance System from 1990 to 2014. Gestational age at birth was based on the reported last menstrual period and verified by ultrasound assessments. Preterm birth proportions were assessed within strata of social and reproductive characteristics, and time series analysis was performed with decomposition for trend and seasonality. We also determined the prevented fractions of preterm birth reduction associated with social and demographic changes during the follow-up period. RESULTS: Analyses were based on 63 063 live births. Preterm birth decreased from 29% (95% CI 28.6 to 30.1) in 1990–1994 to 11% (95% CI 10.5 to 11.6) in 2010–2014. Low education, older age and multi-parity were associated with higher proportions of preterm births across the study period. Preterm births had a marked seasonal variation. A rapid increase in women’s educational level and decrease in parity were associated with the decline in preterm births, and 27% of the reduction observed from 1990 to 2014 could be attributed to these educational and reproductive changes. CONCLUSION: The reduction in preterm birth was to a large extent associated with the sociodemographic transition, especially changes in maternal education and parity. The persistent seasonal variation in the proportion of preterm birth may reflect the environmental stressors for pregnant women across the study period. Continued investments in girls’ education and family planning programmes may contribute to further reduction of preterm births in Bangladesh.
format Online
Article
Text
id pubmed-6688682
institution National Center for Biotechnology Information
language English
publishDate 2019
publisher BMJ Publishing Group
record_format MEDLINE/PubMed
spelling pubmed-66886822019-08-16 Time trends and sociodemographic determinants of preterm births in pregnancy cohorts in Matlab, Bangladesh, 1990–2014 Rahman, Anisur Rahman, Monjur Pervin, Jesmin Razzaque, Abdur Aktar, Shaki Ahmed, Jamal Uddin Selling, Katarina Ekholm Svefors, Pernilla El Arifeen, Shams Persson, Lars Åke BMJ Glob Health Research INTRODUCTION: Preterm birth is the major cause of under-five mortality. Population-based data on determinants and proportions of children born preterm are limited, especially from low-income countries. This study aimed at assessing time trends and social, reproductive and environmental determinants of preterm births based on a population-based pregnancy cohort over 25 years in rural Bangladesh. METHODS: In this cohort study in Matlab, a rural area in Bangladesh, we used data from the Health and Demographic Surveillance System from 1990 to 2014. Gestational age at birth was based on the reported last menstrual period and verified by ultrasound assessments. Preterm birth proportions were assessed within strata of social and reproductive characteristics, and time series analysis was performed with decomposition for trend and seasonality. We also determined the prevented fractions of preterm birth reduction associated with social and demographic changes during the follow-up period. RESULTS: Analyses were based on 63 063 live births. Preterm birth decreased from 29% (95% CI 28.6 to 30.1) in 1990–1994 to 11% (95% CI 10.5 to 11.6) in 2010–2014. Low education, older age and multi-parity were associated with higher proportions of preterm births across the study period. Preterm births had a marked seasonal variation. A rapid increase in women’s educational level and decrease in parity were associated with the decline in preterm births, and 27% of the reduction observed from 1990 to 2014 could be attributed to these educational and reproductive changes. CONCLUSION: The reduction in preterm birth was to a large extent associated with the sociodemographic transition, especially changes in maternal education and parity. The persistent seasonal variation in the proportion of preterm birth may reflect the environmental stressors for pregnant women across the study period. Continued investments in girls’ education and family planning programmes may contribute to further reduction of preterm births in Bangladesh. BMJ Publishing Group 2019-08-02 /pmc/articles/PMC6688682/ /pubmed/31423346 http://dx.doi.org/10.1136/bmjgh-2019-001462 Text en © Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/.
spellingShingle Research
Rahman, Anisur
Rahman, Monjur
Pervin, Jesmin
Razzaque, Abdur
Aktar, Shaki
Ahmed, Jamal Uddin
Selling, Katarina Ekholm
Svefors, Pernilla
El Arifeen, Shams
Persson, Lars Åke
Time trends and sociodemographic determinants of preterm births in pregnancy cohorts in Matlab, Bangladesh, 1990–2014
title Time trends and sociodemographic determinants of preterm births in pregnancy cohorts in Matlab, Bangladesh, 1990–2014
title_full Time trends and sociodemographic determinants of preterm births in pregnancy cohorts in Matlab, Bangladesh, 1990–2014
title_fullStr Time trends and sociodemographic determinants of preterm births in pregnancy cohorts in Matlab, Bangladesh, 1990–2014
title_full_unstemmed Time trends and sociodemographic determinants of preterm births in pregnancy cohorts in Matlab, Bangladesh, 1990–2014
title_short Time trends and sociodemographic determinants of preterm births in pregnancy cohorts in Matlab, Bangladesh, 1990–2014
title_sort time trends and sociodemographic determinants of preterm births in pregnancy cohorts in matlab, bangladesh, 1990–2014
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6688682/
https://www.ncbi.nlm.nih.gov/pubmed/31423346
http://dx.doi.org/10.1136/bmjgh-2019-001462
work_keys_str_mv AT rahmananisur timetrendsandsociodemographicdeterminantsofpretermbirthsinpregnancycohortsinmatlabbangladesh19902014
AT rahmanmonjur timetrendsandsociodemographicdeterminantsofpretermbirthsinpregnancycohortsinmatlabbangladesh19902014
AT pervinjesmin timetrendsandsociodemographicdeterminantsofpretermbirthsinpregnancycohortsinmatlabbangladesh19902014
AT razzaqueabdur timetrendsandsociodemographicdeterminantsofpretermbirthsinpregnancycohortsinmatlabbangladesh19902014
AT aktarshaki timetrendsandsociodemographicdeterminantsofpretermbirthsinpregnancycohortsinmatlabbangladesh19902014
AT ahmedjamaluddin timetrendsandsociodemographicdeterminantsofpretermbirthsinpregnancycohortsinmatlabbangladesh19902014
AT sellingkatarinaekholm timetrendsandsociodemographicdeterminantsofpretermbirthsinpregnancycohortsinmatlabbangladesh19902014
AT sveforspernilla timetrendsandsociodemographicdeterminantsofpretermbirthsinpregnancycohortsinmatlabbangladesh19902014
AT elarifeenshams timetrendsandsociodemographicdeterminantsofpretermbirthsinpregnancycohortsinmatlabbangladesh19902014
AT perssonlarsake timetrendsandsociodemographicdeterminantsofpretermbirthsinpregnancycohortsinmatlabbangladesh19902014