Evidence map›Paper›PMID 40371724›Full record

ArticleActa obstetricia et gynecologica Scandinavica2025

Seasonal patterns of preterm birth in the Netherlands: A population-based cohort study.

Annabelle L van Gils, Anita C Ravelli, Brenda M Kazemier, Eva Pajkrt, Martijn A Oudijk

Abstract read
In one paragraph

Article in Acta obstetricia et gynecologica Scandinavica, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Annabelle L van GilsAmsterdam UMC, Department of Obstetrics and Gynecology, University of Amsterdam, Amsterdam, The Netherlands.ORCID https://orcid.org/0000-0002-2083-0285
Anita C RavelliAmsterdam UMC, Department of Obstetrics and Gynecology, University of Amsterdam, Amsterdam, The Netherlands.
Brenda M KazemierAmsterdam UMC, Department of Obstetrics and Gynecology, University of Amsterdam, Amsterdam, The Netherlands.
Eva PajkrtAmsterdam UMC, Department of Obstetrics and Gynecology, University of Amsterdam, Amsterdam, The Netherlands.
Martijn A OudijkAmsterdam Reproduction and Development Research Institute, Amsterdam, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionPreterm birth is subject to seasonal periodicity, dependent on geographical, meteorological, and environmental factors. This study aims to assess whether preterm birth in the Netherlands is subject to seasonal periodicity. MATERIAL AND

methodsWe performed a population-based cohort including singleton births between January 1, 2010 and December 31, 2019 between 24 + 0 and 42 + 6 weeks of gestation in the Netherlands. The primary outcome was the incidence of preterm birth <37 weeks. Secondary outcomes were total, spontaneous, and iatrogenic preterm birth <28, <32, and <37 weeks of gestation. Preterm birth incidence was calculated per conception month and as a proportion of fetuses-at-risk, taking into account the number of ongoing pregnancies at risk for preterm birth. The incidence of preterm birth <37 weeks per conception month and out of fetuses-at-risk was plotted for the 10-year study period. Incidences were reported as rates, and seasonality was tested with logistic regression and autocorrelation function with a 12-month lag.

resultsIn total, 1 598 554 births were included in the 10-year study period. The average monthly birth count varied from 12 006 (February) to 14 293 (September). The average monthly preterm birth count varied from 610 (February) to 728 (July). Over the total study period, the incidence of preterm birth <37 weeks was 5.16%. Pregnancies conceived in April and May had the highest incidences of preterm birth <37 weeks (5.58% and 5.38%, respectively). Out of fetuses-at-risk, preterm birth incidences were highest in October, December, and January (between 1.38% and 1.42%) and lowest in February (1.22%) and April (1.22%). The ten-year incidence of preterm birth <37 weeks revealed a consistent seasonal pattern, with annually recurrent peaks in preterm birth incidence each year (p < 0.001).

conclusionsIn the Netherlands, the incidence of preterm birth in singletons is subject to seasonal periodicity. Conception in April and May is associated with the highest risk of preterm birth. Fetuses are at the highest risk for preterm birth from October to January and at the lowest risk in February and April.

Indexed as

Premature BirthSeasonsAdultCohort StudiesFemaleGestational AgeHumansIncidenceInfant, NewbornNetherlandsPregnancyfetus‐at‐riskpreterm birthpreterm laborseasonalityseasonal patternseasonal trend

Identifiers

PMID40371724
PMCPMC12144592

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.