Cited by 131Maternal and fetal healthcarePregnancy and preeclampsia studiesMaternal and Perinatal Health Interventions

An international contrast of rates of placental abruption: an age-period-cohort analysis

Open access
Ananth, Cande V., Keyes, Katherine M., Hamilton, Ava, Gissler, Mika, Wu, Chunsen, Liu, Shiliang, Luque-Fernandez, Miguel Angel, Skjærven, Rolv +3 more·2015·PLoS ONE

Abstract

BACKGROUND: Although rare, placental abruption is implicated in disproportionately high rates of perinatal morbidity and mortality. Understanding geographic and temporal variations may provide insights into possible amenable factors of abruption. We examined abruption frequencies by maternal age, delivery year, and maternal birth cohorts over three decades across seven countries. METHODS: Women that delivered in the US (n = 863,879; 1979-10), Canada (4 provinces, n = 5,407,463; 1982-11), Sweden (n = 3,266,742; 1978-10), Denmark (n = 1,773,895; 1978-08), Norway (n = 1,780,271, 1978-09), Finland (n = 1,411,867; 1987-10), and Spain (n = 6,151,508; 1999-12) were analyzed. Abruption diagnosis was based on ICD coding. Rates were modeled using Poisson regression within the framework of an age-period-cohort analysis, and multi-level models to examine the contribution of smoking in four countries. RESULTS: Abruption rates varied across the seven countries (3-10 per 1000), Maternal age showed a consistent J-shaped pattern with increased rates at the extremes of the age distribution. In comparison to births in 2000, births after 2000 in European countries had lower abruption rates; in the US there was an increase in rate up to 2000 and a plateau thereafter. No birth cohort effects were evident. Changes in smoking prevalence partially explained the period effect in the US (P = 0.01) and Sweden (P<0.01). CONCLUSIONS: There is a strong maternal age effect on abruption. While the abruption rate has plateaued since 2000 in the US, all other countries show declining rates. These findings suggest considerable variation in abruption frequencies across countries; differences in the distribution of risk factors, especially smoking, may help guide policy to reduce abruption rates.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1371/journal.pone.0125246

Cites

60 of 60 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Research works printed but not linked: 1

  1. [33]Gissler M, Teperi J, Hemminki E, Merilainen J (1995) Data quality after restructuring a national medical registry. Scand J Soc Med 23: 75– 80. 7784857

Cited by

Sorted by citations

Authors
Ananth, C. V., Keyes, K. M., Hamilton, A., Gissler, M., Wu, C., Liu, S., Luque-Fernandez, M. A., Skjærven, R., Williams, M. A., Tikkanen, M., & Cnattingius, S.
Affiliations
  • Columbia University (US)
  • Finnish Institute for Health and Welfare (FI)
  • Aarhus University (DK)
  • Public Health Agency of Canada (CA)
  • Norwegian Institute of Public Health (NO)
  • Harvard University (US)
  • Helsinki University Hospital (FI)
  • Karolinska Institutet (SE)
Corresponding author
Ananth, Cande V.
Venue
PLoS ONE
Published
2015-05-27
Volume
10
Issue
5
Pages
e0125246
ISSN
1932-6203 (ISSN-L)
OpenAlex
W2151012434
Cited by
131
References
60
Citations by year
2026: 7 · 2025: 9 · 2024: 9 · 2023: 11 · 2022: 18 · 2021: 10 · 2020: 22 · 2019: 15 · 2018: 14 · 2017: 9 · 2016: 4 · 2015: 2
FWCI
9.63
Type
journal article
Language
en
Open access
Locations
  • PLoS ONE (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • LSHTM Research Online (London School of Hygiene and Tropical Medicine) (acceptedVersion)
  • Digital Access to Scholarship at Harvard (DASH) (Harvard University) (submittedVersion, cc-by)
  • RePEc: Research Papers in Economics (submittedVersion)
  • NORA - Norwegian Open Research Archives (submittedVersion, cc-by)
  • BIBSYS Brage (BIBSYS (Norway)) (submittedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
  • NORA - Norwegian Open Research Archives (submittedVersion, other-oa)
  • Figshare (submittedVersion, cc-by)
  • Työväentutkimus Vuosikirja (submittedVersion)
  • Columbia Academic Commons (Columbia University)
Funders
  • Public Health Agency of Canada
  • Public Health Agency
  • National Institutes of Health
  • National Institute on Alcohol Abuse and Alcoholism (K01AA021511)
Topics
  • Health Sciences › Medicine › Pediatrics, Perinatology and Child Health › Maternal and fetal healthcare
  • Health Sciences › Medicine › Obstetrics and Gynecology › Pregnancy and preeclampsia studies
  • Health Sciences › Medicine › Obstetrics and Gynecology › Maternal and Perinatal Health Interventions
Keywords
placental abruption, maternal age, birth cohort effects, temporal trends, smoking, cross-national comparison, perinatal morbidity, perinatal mortality, risk factors
MeSH terms
Abruptio Placentae, Canada, Denmark, Female, Finland, Humans, Maternal Age, Norway, Pregnancy, Risk Factors, Smoking, Spain, Sweden, United States, Cohort Studies, Prevalence, Age Distribution

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review