National, Regional, and Worldwide Estimates of Preterm Birth Rates in the Year 2010 With Time Trends Since 1990 for Selected Countries

2013 ◽  
Vol 33 (3) ◽  
pp. 142 ◽  
Author(s):  
H. Blencowe ◽  
S. Cousens ◽  
M.Z. Oestergaard ◽  
D. Chou ◽  
A.B. Moller ◽  
...  
The Lancet ◽  
2012 ◽  
Vol 379 (9832) ◽  
pp. 2162-2172 ◽  
Author(s):  
Hannah Blencowe ◽  
Simon Cousens ◽  
Mikkel Z Oestergaard ◽  
Doris Chou ◽  
Ann-Beth Moller ◽  
...  

2015 ◽  
Vol 31 (4) ◽  
pp. 885-890 ◽  
Author(s):  
Maria Nilza Lima Medeiros ◽  
Nádia Carenina Nunes Cavalcante ◽  
Fabrício José Alencar Mesquita ◽  
Rosângela Lucena Fernandes Batista ◽  
Vanda Maria Ferreira Simões ◽  
...  

The aim of this study was to assess the validity of the last menstrual period (LMP) estimate in determining pre and post-term birth rates, in a prenatal cohort from two Brazilian cities, São Luís and Ribeirão Preto. Pregnant women with a single fetus and less than 20 weeks' gestation by obstetric ultrasonography who received prenatal care in 2010 and 2011 were included. The LMP was obtained on two occasions (at 22-25 weeks gestation and after birth). The sensitivity of LMP obtained prenatally to estimate the preterm birth rate was 65.6% in São Luís and 78.7% in Ribeirão Preto and the positive predictive value was 57.3% in São Luís and 73.3% in Ribeirão Preto. LMP errors in identifying preterm birth were lower in the more developed city, Ribeirão Preto. The sensitivity and positive predictive value of LMP for the estimate of the post-term birth rate was very low and tended to overestimate it. LMP can be used with some errors to identify the preterm birth rate when obstetric ultrasonography is not available, but is not suitable for predicting post-term birth.


2022 ◽  
Vol 226 (1) ◽  
pp. S625
Author(s):  
Jennifer Cate ◽  
Amanda M. Craig ◽  
Miriam Estin ◽  
Kristin Weaver ◽  
Jennifer Gilner ◽  
...  

2019 ◽  
Vol 4 (4) ◽  
pp. e001462 ◽  
Author(s):  
Anisur Rahman ◽  
Monjur Rahman ◽  
Jesmin Pervin ◽  
Abdur Razzaque ◽  
Shaki Aktar ◽  
...  

IntroductionPreterm 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.MethodsIn 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.ResultsAnalyses 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.ConclusionThe 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.


2011 ◽  
Vol 90 (12) ◽  
pp. 1325-1331 ◽  
Author(s):  
RAMKUMAR MENON ◽  
ANNE L. DUNLOP ◽  
MICHAEL R. KRAMER ◽  
STEPHEN J. FORTUNATO ◽  
CAROL J. HOGUE

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