Evidence map›Paper›PMID 40150540›Full record

ArticleChildren (Basel, Switzerland)2025

Trends in Preterm Births in Italy and Maternal Risk Factors in 2018-2022-A Registry-Based Study.

Franca Rusconi, Martina Pacifici, Anna Maria Nannavecchia, Sonia Brescianini, Teresa Spadea, Pietro Buono, Michele Gobbato, Olivia Leoni, Eva Papa, Enrica Perrone and 8 more

Abstract read
In one paragraph

Article in Children (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

18 authors.

Franca RusconiDepartment of Mother and Child Health, Azienda USL Toscana Nord Ovest, 56121 Pisa, Italy.ORCID 0000-0002-9544-6472
Martina PacificiUnit of Epidemiology, Regional Health Agency of Tuscany, 50141 Florence, Italy.
Anna Maria NannavecchiaDepartment of Epidemiology and Care Intelligence, Strategic Regional Agency for Health and Social Affairs-AReSS Puglia, 70121 Bari, Italy.
Sonia BrescianiniCentre for Behavioral Sciences and Mental Health, Istituto Superiore di Sanità, 00161 Rome, Italy.ORCID 0000-0003-2627-1282
Teresa SpadeaDepartment of Epidemiology, ASL TO3 Piedmont Region, Collegno, 10093 Turin, Italy.ORCID 0000-0002-0771-0545
Pietro BuonoDepartment of Maternal and Child Health, General Directorate for Health, Campania Region, 80131 Naples, Italy.
Michele GobbatoPianificazione Programmazione e Controllo Direzionale, Azienda Regionale di Coordinamento per la Salute del Friuli-Venezia Giulia, 33100 Udine, Italy.ORCID 0000-0003-2219-2974
Olivia LeoniEpidemiologic Observatory, Welfare General Directorate, Lombardy Region, 20124 Milan, Italy.
Eva PapaObservatory for Health, Health Department Province of Bolzano, 39100 Bolzano, Italy.
Enrica PerroneUnit of Primary Care, Regional Health Authority of Emilia-Romagna, 40127 Bologna, Italy.ORCID 0000-0002-2332-5612
Riccardo PertileDepartment of Clinical and Evaluative Epidemiology, Health Service of Trento, 38123 Trento, Italy.ORCID 0000-0003-1455-842X
Arianna PoloArea Rete Ospedaliera, Lazio Regional Authority, 00145 Rome, Italy.
Monia PugliaUnit of Epidemiology, Regional Health Agency of Tuscany, 50141 Florence, Italy.
Raffaella RuscianiDepartment of Epidemiology, ASL TO3 Piedmont Region, Collegno, 10093 Turin, Italy.
Elisa Eleonora TavorminaInstitute for Biomedical Research and Innovation, National Research Council, 90145 Palermo, Italy.ORCID 0000-0003-2140-8913
Laura Visonà Dalla PozzaBirth Registry, Coordinating Centre for Rare Diseases, Veneto Region, 35100 Padua, Italy.
Luigi GagliardiDepartment of Mother and Child Health, Azienda USL Toscana Nord Ovest, 56121 Pisa, Italy.ORCID 0000-0001-6074-8975
Perinatal Health Working Group

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNationwide studies described a reduction in preterm birth (PTB) during the Coronavirus disease 19 (COVID-19) pandemic, but this was not confirmed in others. Very few data are available on the trend of PTBs over a longer period, including the post-pandemic period, and on potential risk factors, especially those associated with social disparities.

objectiveTo investigate the trend in PTB rates and the influence of maternal risk factors in Italy from January 2018 to December 2022, based on 12 Regional Birth Registries covering 86.1% of Italian births.

methodsPTB trend was investigated by an interrupted time series analysis. We assessed the associations of potential risk factors with PTB (Poisson regressions) and calculated their population impact fractions (PIFs).

resultsWe studied 1,762,422 births; 7.25% were PTB. Before the pandemic, we observed a monthly decrease in PTB rate [-0.2% (95% CI: -0.3; -0.1)]; from July 2020 onwards, the average monthly level of PTBs was 5% lower than before (95% CI: -7.3; -2.7), with a flat trend until December 2022 [-0.02% (95% CI: -0.5; 0.5)]. Socio-economic maternal risk factors (low education, unemployment) and foreign nationality, whose risk ratios were 1.14 (95% CI: 1.04; 1.24), 1.08 (1.05; 1.12), and 1.17 (1.14; 1.21), respectively, showed a decreasing trend after pandemic; their impact on the decrease in PTBs was modest (PIFs between -2.4‱ and -4.2‱).

conclusionsThe COVID-19 pandemic changed the pattern of PTB rates in Italy, lowering their average frequency and interrupting a previous decreasing trend. Changes in the trend of socio-economic maternal risk factors marginally explained this pattern.

Indexed as

COVID-19infantinterrupted time series analysisnewbornpremature birth

Identifiers

PMID40150540
PMCPMC11941680

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.