Evidence map›Paper›PMID 38586485›Full record

ArticlePaediatrics & child health2024

The paradoxical influence of the COVID-19 lockdown period on different types of preterm births in Alberta: a provincial study.

Aliyah Dosani, Khokan C Sikdar, Mahalakshmi Kumaran, Kumar Kumaran, Abbas Hyderi, Amina Benlamri, Baldeep Rai, Nalini Singhal, Abhay Lodha

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Article in Paediatrics & child health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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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

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5 · Who and what money

Authors and funding

9 authors.

Aliyah DosaniFaculty of Health, Community and Education, School of Nursing and Midwifery, Mount Royal University, Calgary, Alberta, Canada.
Khokan C SikdarDepartment of Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.
Mahalakshmi KumaranSurveillance and Reporting, Provincial Population and Public Health, Alberta Health Services, Calgary, Alberta, Canada.
Kumar KumaranSurveillance and Reporting, Provincial Population and Public Health, Alberta Health Services, Calgary, Alberta, Canada.
Abbas HyderiDepartment of Pediatrics, University of Alberta, Edmonton, Canada.
Amina BenlamriDepartment of Pediatrics, University of Calgary, Calgary, Canada.
Baldeep RaiDepartment of Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.
Nalini SinghalDepartment of Pediatrics, University of Calgary, Calgary, Canada.
Abhay LodhaDepartment of Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: The objective of this study was to determine if the COVID-19 pandemic impacted different types of preterm birth rates in Alberta, Canada. Methods: A population-based, retrospective, cohort study was conducted from March 15, 2015 to December 31, 2020 using provincial data. The primary exposure was the COVID-19 lockdown period, and the primary outcome was the incidence of preterm birth (<37 weeks gestational age). Multivariable analyses in the complete lockdown and overall lockdown (partial and complete lockdown) periods were performed to test the association between the year of birth and preterm birth status and were adjusted for various independent variables. Preterm birth status was adjusted for various confounding factors. Results: Following the analysis of n = 41,187 mothers and their singleton infants, we found that the lockdown due to COVID-19 had no impact in reducing the overall preterm birth rate. However, a paradoxical influence was observed with an increase of extremely low preterm births in the overall lockdown period, and a decrease in moderate preterm births during the complete lockdown period. Conclusions: The results of this study demonstrated that there was a decrease in moderate and increase in extremely low preterm birth rates as a result of the COVID-19 lockdown. However, the COVID-19 lockdown did not impact the very preterm and late preterm birth rate in Alberta.

Indexed as

AlbertaCanadaCOVID-19Lockdown periodPreterm birth

Identifiers

PMID38586485
PMCPMC10996579

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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.