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Changes in preterm birth and stillbirth during COVID-19 lockdowns in 26 countries

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dc.contributor.author Calvert, Clara
dc.contributor.author Brockway, Meredith (Merilee)
dc.contributor.author Zoega, Helga
dc.contributor.author Miller, Jessica E.
dc.contributor.author Been, Jasper V.
dc.contributor.author Amegah, Adeladza Kofi
dc.contributor.author Racine-Poon, Amy
dc.contributor.author Oskoui, Solmaz Eradat
dc.contributor.author Abok, Ishaya I.
dc.contributor.author Aghaeepour, Nima
dc.contributor.author Akwaowo, Christie D.
dc.contributor.author Alshaikh, Belal N.
dc.contributor.author Ayede, Adejumoke I.
dc.contributor.author Bacchini, Fabiana
dc.contributor.author Barekatain, Behzad
dc.contributor.author Barnes, Rodrigo
dc.contributor.author Bebak, Karolina
dc.contributor.author Berard, Anick
dc.contributor.author Bhutta, Zulfiqar A.
dc.contributor.author Brook, Jeffrey R.
dc.contributor.author Bryan, Lenroy R.
dc.contributor.author Cajachagua-Torres, Kim N.
dc.contributor.author Campbell-Yeo, Marsha
dc.contributor.author Chu, Dinh Toi
dc.contributor.author Connor, Kristin L.
dc.contributor.author Cornette, Luc
dc.contributor.author Cortés, Sandra
dc.contributor.author Daly, Mandy
dc.contributor.author Debauche, Christian
dc.contributor.author Dedeke, Iyabode Olabisi F.
dc.contributor.author Einarsdóttir, Kristjana
dc.contributor.author Engjom, Hilde
dc.contributor.author Estrada-Gutierrez, Guadalupe
dc.contributor.author Fantasia, Ilaria
dc.contributor.author Fiorentino, Nicole M.
dc.contributor.author Franklin, Meredith
dc.contributor.author Fraser, Abigail
dc.contributor.author Gachuno, Onesmus W.
dc.contributor.author Gallo, Linda A.
dc.contributor.author Gissler, Mika
dc.contributor.author Håberg, Siri E.
dc.contributor.author Habibelahi, Abbas
dc.contributor.author Häggström, Jonas
dc.contributor.author Hookham, Lauren
dc.contributor.author Hui, Lisa
dc.contributor.author Huicho, Luis
dc.contributor.author Hunter, Karen J.
dc.contributor.author Huq, Sayeeda
dc.contributor.author Kc, Ashish
dc.contributor.author Swift, Emma M.
dc.date.accessioned 2023-08-22T01:04:38Z
dc.date.available 2023-08-22T01:04:38Z
dc.date.issued 2023-02-27
dc.identifier.citation Calvert , C , Brockway , M , Zoega , H , Miller , J E , Been , J V , Amegah , A K , Racine-Poon , A , Oskoui , S E , Abok , I I , Aghaeepour , N , Akwaowo , C D , Alshaikh , B N , Ayede , A I , Bacchini , F , Barekatain , B , Barnes , R , Bebak , K , Berard , A , Bhutta , Z A , Brook , J R , Bryan , L R , Cajachagua-Torres , K N , Campbell-Yeo , M , Chu , D T , Connor , K L , Cornette , L , Cortés , S , Daly , M , Debauche , C , Dedeke , I O F , Einarsdóttir , K , Engjom , H , Estrada-Gutierrez , G , Fantasia , I , Fiorentino , N M , Franklin , M , Fraser , A , Gachuno , O W , Gallo , L A , Gissler , M , Håberg , S E , Habibelahi , A , Häggström , J , Hookham , L , Hui , L , Huicho , L , Hunter , K J , Huq , S , Kc , A & Swift , E M 2023 , ' Changes in preterm birth and stillbirth during COVID-19 lockdowns in 26 countries ' , Nature Human Behaviour , vol. 7 , no. 4 , pp. 529-544 . https://doi.org/10.1038/s41562-023-01522-y
dc.identifier.issn 2397-3374
dc.identifier.other 155765512
dc.identifier.other 32e0a28a-9207-4530-a163-e1139116b5e7
dc.identifier.other 85149020073
dc.identifier.other 36849590
dc.identifier.other unpaywall: 10.1038/s41562-023-01522-y
dc.identifier.uri https://hdl.handle.net/20.500.11815/4442
dc.description Funding Information: M.B.A. holds a Tier 2 Canada Research Chair in the Developmental Origins of Chronic Disease at the University of Manitoba and is a Fellow in the Canadian Institutes for Advanced Research (CIFAR) Humans and the Microbiome Program. Her effort on this project was partly supported by HDR UK and ICODA. K.K.C.M. declares support from The Innovation and Technology Commission of the Hong Kong Special Administrative Region Government, and Hong Kong Research Grants Council Collaborative Research Fund Coronavirus Disease (COVID-19) and Novel Infectious Disease Research Exercise (Ref: C7154-20G) and grants from C W Maplethorpe Fellowship, National Institute of Health Research UK, European Commission Framework Horizon 2020 and has consulted for IQVIA Ltd. A.S. is supported by ICODA and HDR UK, and has received a research grant from HDR UK to the BREATHE Hub. He participates on the Scottish and UK Government COVID-19 Advisory Committees, unremunerated. S.J.S. is supported by a Wellcome Trust Clinical Career Development Fellowship (209560/Z/17/Z) and HDR UK, and has received personal fees from Hologic and Natera outside the submitted work. D.B. is supported by a National Health and Medical Research Council (Australia) Investigator Grant (GTN1175744). I.C.K.W. declares support from The Innovation and Technology Commission of the Hong Kong Special Administrative Region Government, and Hong Kong Research Grants Council Collaborative Research Fund Coronavirus Disease (COVID-19) and Novel Infectious Disease Research Exercise (Ref: C7154-20G), and grants from Hong Kong Research Grant Council, National Institute of Health Research UK, and European Commission Framework Horizon 2020. H.Z. is supported by a UNSW Scientia Program Award and reports grants from European Commission Framework Horizon 2020, Icelandic Centre for Research, and Australia’s National Health and Medical Research Council. H.Z. was an employee of the UNSW Centre for Big Data Research in Health, which received funding from AbbVie Australia to conduct research, unrelated to the current study. I.I.A.A., C.D.A., K.A., A.I.A., L.C., S.S., G.E.-G., O.W.G., L. Huicho, S.H., A.K., K.L., V.N., I.P., N.R.R., T.R., T.A.H.R., V.L.S., E.M.S., L.T., R.W. and H.Z. received funding from HDRUK (grant #2020.106) to support data collection for the iPOP study. K.H., R.B., S.O.E., A.R.-P. and J.H. receive salary from ICODA. M.B. received trainee funding from HDRUK (grant #2020.106). J.E.M. received trainee funding from HDRUK (grant #2020.109). Other relevant funding awarded to authors to conduct research for iPOP include: M.G. received funding from THL, Finnish Institute for Health and Welfare to support data collection. K.D. received funding from EDCTP RIA2019 and HDRUK (grant #2020.106) to support data collection. R.B. received funding from Alzheimer’s Disease Data Initiative and ICODA for the development of federated analysis. A.D.M. received funding from HDR UK who receives its funding from the UK Medical Research Council, Engineering and Physical Sciences Research Council, Economic and Social Research Council, Department of Health and Social Care (England), Chief Scientist Office of the Scottish Government Health and Social Care Directorates, Health and Social Care Research and Development Division (Welsh Government), Public Health Agency (Northern Ireland), British Heart Foundation (BHF) and the Wellcome Trust; and Administrative Data Research UK, which is funded by the Economic and Social Research Council (grant ES/S007393/1). N.A. received funding from the National Institutes of Health (R35GM138353). O.S received funding from NordForsk (grant #105545). The remaining authors declare no competing interests. Funding Information: Funding and in-kind support: This work was supported by the International COVID-19 Data Alliance (ICODA), an initiative funded by the Bill and Melinda Gates Foundation and Minderoo as part of the COVID-19 Therapeutics Accelerator and convened by Health Data Research (HDR) UK, in addition to support from the HDR UK BREATHE Hub. Several ICODA partners contributed to the study, including: Cytel (statistical support), the Odd Group (data visualization) and Aridhia Informatics (development of federated analysis using a standardized protocol ([Common API] https://github.com/federated-data-sharing/ ) to be used in future work). Additional contributors: We acknowledge the important contributions from the following individuals: A. C. Hennemann and D. Suguitani (patient partners from Prematuridade: Brazilian Parents of Preemies’ Association, Porto Alegre, Brazil); N. Postlethwaite (implementation of processes supporting the trustworthy collection, governance and analysis of data from ICODA, HDR UK, London, UK); A. S. Babatunde (led data acquisition from University of Uyo Teaching Hospital, Uyo, Nigeria); N. Silva (data quality, revision and visualization assessment from Methods, Analytics and Technology for Health (M.A.T.H) Consortium, Belo Horizonte, Brazil); J. Söderling (data management from the Karolinska Institutet, Stockholm, Sweden). We also acknowledge the following individuals who assisted with data collection efforts: R. Goemaes (Study Centre for Perinatal Epidemiology (SPE), Brussels, Belgium); C. Leroy (Le Centre d'Épidémiologie Périnatale (CEpiP), Brussels, Belgium); J. Gamba and K. Ronald (St. Francis Nsambya Hospital, Kampala, Uganda); M. Heidarzadeh (Tabriz Medical University, Tabriz, Iran); M. J. Ojeda (Pontificia Universidad Católica de Chile, Santiago, Chile); S. Nangia (Lady Hardinge Medical College, New Delhi, India); C. Nelson, S. Metcalfe and W. Luo (Maternal Infant Health Section of the Public Health Agency of Canada, Ottawa, Canada); K. Sitcov (Foundation for Health Care Quality, Seattle, United States); A. Valek (Semmelweis University, Budapest, Hungary); M. R. Yanlin Liu (Mater Data and Analytics, Brisbane, Australia). The funders had no role in study design, data collection and analysis, decision to publish or preparation of the manuscript. Funding Information: Funding and in-kind support: This work was supported by the International COVID-19 Data Alliance (ICODA), an initiative funded by the Bill and Melinda Gates Foundation and Minderoo as part of the COVID-19 Therapeutics Accelerator and convened by Health Data Research (HDR) UK, in addition to support from the HDR UK BREATHE Hub. Several ICODA partners contributed to the study, including: Cytel (statistical support), the Odd Group (data visualization) and Aridhia Informatics (development of federated analysis using a standardized protocol ([Common API] https://github.com/federated-data-sharing/) to be used in future work). Additional contributors: We acknowledge the important contributions from the following individuals: A. C. Hennemann and D. Suguitani (patient partners from Prematuridade: Brazilian Parents of Preemies’ Association, Porto Alegre, Brazil); N. Postlethwaite (implementation of processes supporting the trustworthy collection, governance and analysis of data from ICODA, HDR UK, London, UK); A. S. Babatunde (led data acquisition from University of Uyo Teaching Hospital, Uyo, Nigeria); N. Silva (data quality, revision and visualization assessment from Methods, Analytics and Technology for Health (M.A.T.H) Consortium, Belo Horizonte, Brazil); J. Söderling (data management from the Karolinska Institutet, Stockholm, Sweden). We also acknowledge the following individuals who assisted with data collection efforts: R. Goemaes (Study Centre for Perinatal Epidemiology (SPE), Brussels, Belgium); C. Leroy (Le Centre d'Épidémiologie Périnatale (CEpiP), Brussels, Belgium); J. Gamba and K. Ronald (St. Francis Nsambya Hospital, Kampala, Uganda); M. Heidarzadeh (Tabriz Medical University, Tabriz, Iran); M. J. Ojeda (Pontificia Universidad Católica de Chile, Santiago, Chile); S. Nangia (Lady Hardinge Medical College, New Delhi, India); C. Nelson, S. Metcalfe and W. Luo (Maternal Infant Health Section of the Public Health Agency of Canada, Ottawa, Canada); K. Sitcov (Foundation for Health Care Quality, Seattle, United States); A. Valek (Semmelweis University, Budapest, Hungary); M. R. Yanlin Liu (Mater Data and Analytics, Brisbane, Australia). The funders had no role in study design, data collection and analysis, decision to publish or preparation of the manuscript. Publisher Copyright: © 2023, The Author(s).
dc.description.abstract Preterm birth (PTB) is the leading cause of infant mortality worldwide. Changes in PTB rates, ranging from −90% to +30%, were reported in many countries following early COVID-19 pandemic response measures (‘lockdowns’). It is unclear whether this variation reflects real differences in lockdown impacts, or perhaps differences in stillbirth rates and/or study designs. Here we present interrupted time series and meta-analyses using harmonized data from 52 million births in 26 countries, 18 of which had representative population-based data, with overall PTB rates ranging from 6% to 12% and stillbirth ranging from 2.5 to 10.5 per 1,000 births. We show small reductions in PTB in the first (odds ratio 0.96, 95% confidence interval 0.95–0.98, P value <0.0001), second (0.96, 0.92–0.99, 0.03) and third (0.97, 0.94–1.00, 0.09) months of lockdown, but not in the fourth month of lockdown (0.99, 0.96–1.01, 0.34), although there were some between-country differences after the first month. For high-income countries in this study, we did not observe an association between lockdown and stillbirths in the second (1.00, 0.88–1.14, 0.98), third (0.99, 0.88–1.12, 0.89) and fourth (1.01, 0.87–1.18, 0.86) months of lockdown, although we have imprecise estimates due to stillbirths being a relatively rare event. We did, however, find evidence of increased risk of stillbirth in the first month of lockdown in high-income countries (1.14, 1.02–1.29, 0.02) and, in Brazil, we found evidence for an association between lockdown and stillbirth in the second (1.09, 1.03–1.15, 0.002), third (1.10, 1.03–1.17, 0.003) and fourth (1.12, 1.05–1.19, <0.001) months of lockdown. With an estimated 14.8 million PTB annually worldwide, the modest reductions observed during early pandemic lockdowns translate into large numbers of PTB averted globally and warrant further research into causal pathways.
dc.format.extent 16
dc.format.extent 6391711
dc.format.extent 529-544
dc.language.iso en
dc.relation.ispartofseries Nature Human Behaviour; 7(4)
dc.rights info:eu-repo/semantics/openAccess
dc.subject Female
dc.subject Humans
dc.subject Infant
dc.subject Infant, Newborn
dc.subject Pregnancy
dc.subject Communicable Disease Control
dc.subject COVID-19/epidemiology
dc.subject Pandemics/prevention & control
dc.subject Premature Birth/epidemiology
dc.subject Stillbirth/epidemiology
dc.subject Experimental and Cognitive Psychology
dc.subject Social Psychology
dc.subject Behavioral Neuroscience
dc.title Changes in preterm birth and stillbirth during COVID-19 lockdowns in 26 countries
dc.type /dk/atira/pure/researchoutput/researchoutputtypes/contributiontojournal/article
dc.description.version Peer reviewed
dc.identifier.doi 10.1038/s41562-023-01522-y
dc.relation.url http://www.scopus.com/inward/record.url?scp=85149020073&partnerID=8YFLogxK
dc.contributor.department Faculty of Medicine
dc.contributor.department Faculty of Nursing and Midwifery


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