Evidence map›Paper›PMID 42361019›Full record

ArticlePloS one2026

Factors associated with multiple births in the United Kingdom during COVID-19: A cross-sectional survey.

Yan-Shing Chang, Jessica Jones, Seo Ah Hong, Li-Yin Chien

Abstract read
In one paragraph

Article in PloS one, 2026. 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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0citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Yan-Shing ChangFlorence Nightingale Faculty of Nursing, Midwifery & Palliative Care, King's College London, London, United Kingdom.ORCID https://orcid.org/0000-0002-9086-4472
Jessica JonesFlorence Nightingale Faculty of Nursing, Midwifery & Palliative Care, King's College London, London, United Kingdom.
Seo Ah HongDepartment of Public Health Administration, Faculty of Public Health, Mahidol University, Bangkok, Thailand.
Li-Yin ChienInstitute of Community Health Care, College of Nursing, National Yang Ming Chiao Tung University, Taipei, Taiwan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWomen with multiple births may encounter many challenges compared to those with singleton births, especially during the COVID-19 pandemic. This is the first study aiming to investigate the factors associated with multiple births during COVID-19 in the United Kingdom.

methodsA cross-sectional online survey was carried out between July and November 2021 with women who were up to 6 months postpartum. Sociodemographic, obstetric, and COVID-19-related factors, and infant feeding and support factors, were employed to assess the association with multiple births. Descriptive statistics and bivariate and multivariable analyses were performed.

resultsOf 858 eligible participants, 53 had multiple births. Bivariate analysis showed that although socioeconomic and COVID-19-related factors were not associated, preterm birth, Neonatal Intensive Care Unit admission, birthweight, mode of birth, postnatal depression, infant feeding practices, impact of COVID-19 on baby fed with expressed breast milk, no support for infant feeding, infant feeding support from online group were associated with multiple births. In the multiple logistic regression, multiple births were significantly associated with infant formula use (AOR 6.17, 95% CI 2.29-16.57), preterm birth (AOR 5.83, 95% CI 1.99-17.11), caesarean birth (AOR 2.97, 95% CI 1.27-6.97), and birthweight (<2.5 kg: AOR 13.16, 95% CI 4.31-40.20;  > 3.5 kg: AOR 0.11, 95% CI 0.02-0.51).

conclusionsParticipants with multiple births experienced higher obstetric risks and were more likely to feed with infant formula. These findings underscore the need for routine integration of lactation specialists and the expansion of remote support strategies.

Indexed as

COVID-19Multiple Birth OffspringPregnancy, MultipleAdultBreast FeedingCross-Sectional StudiesFemaleHumansInfant, NewbornPregnancyPremature BirthSARS-CoV-2Surveys and QuestionnairesUnited Kingdom

Identifiers

PMID42361019
PMCPMC13308774

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LicenceCC BY
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Registered trials

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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.