Seasonal patterns of preterm birth in the Netherlands: A population‐based cohort study
Abstract Introduction Preterm 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 Methods We performed a population‐based co...
Saved in:
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2025-07-01
|
| Series: | Acta Obstetricia et Gynecologica Scandinavica |
| Subjects: | |
| Online Access: | https://doi.org/10.1111/aogs.15134 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1850212226909077504 |
|---|---|
| author | Annabelle L. vanGils Anita C. Ravelli Brenda M. Kazemier Eva Pajkrt Martijn A. Oudijk |
| author_facet | Annabelle L. vanGils Anita C. Ravelli Brenda M. Kazemier Eva Pajkrt Martijn A. Oudijk |
| author_sort | Annabelle L. vanGils |
| collection | DOAJ |
| description | Abstract Introduction Preterm 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 Methods We 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. Results In 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). Conclusions In 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. |
| format | Article |
| id | doaj-art-4bfb7544e4df4813bfafba6ed656e4c2 |
| institution | OA Journals |
| issn | 0001-6349 1600-0412 |
| language | English |
| publishDate | 2025-07-01 |
| publisher | Wiley |
| record_format | Article |
| series | Acta Obstetricia et Gynecologica Scandinavica |
| spelling | doaj-art-4bfb7544e4df4813bfafba6ed656e4c22025-08-20T02:09:24ZengWileyActa Obstetricia et Gynecologica Scandinavica0001-63491600-04122025-07-0110471286129410.1111/aogs.15134Seasonal patterns of preterm birth in the Netherlands: A population‐based cohort studyAnnabelle L. vanGils0Anita C. Ravelli1Brenda M. Kazemier2Eva Pajkrt3Martijn A. Oudijk4Amsterdam UMC, Department of Obstetrics and Gynecology University of Amsterdam Amsterdam The NetherlandsAmsterdam UMC, Department of Obstetrics and Gynecology University of Amsterdam Amsterdam The NetherlandsAmsterdam UMC, Department of Obstetrics and Gynecology University of Amsterdam Amsterdam The NetherlandsAmsterdam UMC, Department of Obstetrics and Gynecology University of Amsterdam Amsterdam The NetherlandsAmsterdam Reproduction and Development Research Institute Amsterdam The NetherlandsAbstract Introduction Preterm 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 Methods We 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. Results In 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). Conclusions In 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.https://doi.org/10.1111/aogs.15134fetus‐at‐riskpreterm birthpreterm laborseasonal patternseasonal trendseasonality |
| spellingShingle | Annabelle L. vanGils Anita C. Ravelli Brenda M. Kazemier Eva Pajkrt Martijn A. Oudijk Seasonal patterns of preterm birth in the Netherlands: A population‐based cohort study Acta Obstetricia et Gynecologica Scandinavica fetus‐at‐risk preterm birth preterm labor seasonal pattern seasonal trend seasonality |
| title | Seasonal patterns of preterm birth in the Netherlands: A population‐based cohort study |
| title_full | Seasonal patterns of preterm birth in the Netherlands: A population‐based cohort study |
| title_fullStr | Seasonal patterns of preterm birth in the Netherlands: A population‐based cohort study |
| title_full_unstemmed | Seasonal patterns of preterm birth in the Netherlands: A population‐based cohort study |
| title_short | Seasonal patterns of preterm birth in the Netherlands: A population‐based cohort study |
| title_sort | seasonal patterns of preterm birth in the netherlands a population based cohort study |
| topic | fetus‐at‐risk preterm birth preterm labor seasonal pattern seasonal trend seasonality |
| url | https://doi.org/10.1111/aogs.15134 |
| work_keys_str_mv | AT annabellelvangils seasonalpatternsofpretermbirthinthenetherlandsapopulationbasedcohortstudy AT anitacravelli seasonalpatternsofpretermbirthinthenetherlandsapopulationbasedcohortstudy AT brendamkazemier seasonalpatternsofpretermbirthinthenetherlandsapopulationbasedcohortstudy AT evapajkrt seasonalpatternsofpretermbirthinthenetherlandsapopulationbasedcohortstudy AT martijnaoudijk seasonalpatternsofpretermbirthinthenetherlandsapopulationbasedcohortstudy |