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dc.contributor.authorMuM-PreDiCT Group
dc.contributor.authorLee, Siang Ing
dc.contributor.authorAzcoaga-Lorenzo, Amaya
dc.contributor.authorAgrawal, Utkarsh
dc.contributor.authorKennedy, Jonathan I.
dc.contributor.authorFagbamigbe, Adeniyi
dc.contributor.authorHope, Holly
dc.contributor.authorSubramanian, Anuradhaa
dc.contributor.authorAnand, Astha
dc.contributor.authorTaylor, Beck
dc.contributor.authorNelson-Piercy, Catherine
dc.contributor.authorDamase-Michel, Christine
dc.contributor.authorYau, Christopher
dc.contributor.authorCrowe, Francesca
dc.contributor.authorSantorelli, Gillian
dc.contributor.authorEastwood, Kelly-Ann
dc.contributor.authorVowles, Zoe
dc.contributor.authorLoane, Maria
dc.contributor.authorMoss, Ngawai
dc.contributor.authorBrocklehurst, Peter
dc.contributor.authorPlachcinski, Rachel
dc.contributor.authorThangaratinam, Shakila
dc.contributor.authorBlack, Mairead
dc.contributor.authorO’Reilly, Dermot
dc.contributor.authorAbel, Kathryn M.
dc.contributor.authorBrophy, Sinead
dc.contributor.authorNirantharakumar, Krishnarajah
dc.contributor.authorMcCowan, Colin
dc.identifier.citationMuM-PreDiCT Group , Lee , S I , Azcoaga-Lorenzo , A , Agrawal , U , Kennedy , J I , Fagbamigbe , A , Hope , H , Subramanian , A , Anand , A , Taylor , B , Nelson-Piercy , C , Damase-Michel , C , Yau , C , Crowe , F , Santorelli , G , Eastwood , K-A , Vowles , Z , Loane , M , Moss , N , Brocklehurst , P , Plachcinski , R , Thangaratinam , S , Black , M , O’Reilly , D , Abel , K M , Brophy , S , Nirantharakumar , K & McCowan , C 2022 , ' Epidemiology of pre-existing multimorbidity in pregnant women in the UK in 2018 : a population-based cross-sectional study ' , BMC Pregnancy and Childbirth , vol. 22 , 120 .
dc.identifier.otherPURE: 277589896
dc.identifier.otherPURE UUID: 5c1c9997-c158-4cf2-ba1e-a40265163fd3
dc.identifier.otherORCID: /0000-0002-9466-833X/work/108508927
dc.identifier.otherORCID: /0000-0003-3307-878X/work/108508940
dc.identifier.otherWOS: 000754205300007
dc.identifier.otherScopus: 85124577228
dc.descriptionThis work was funded by the Strategic Priority Fund “Tackling multimorbidity at scale” programme (grant number MR/W014432/1) delivered by the Medical Research Council and the National Institute for Health Research in partnership with the Economic and Social Research Council and in collaboration with the Engineering and Physical Sciences Research Council. BT was funded by the National Institute for Health Research (NIHR) West Midlands Applied Research Collaboration. AA and SIL were funded as NIHR Academic Clinical Fellows.en
dc.description.abstractBackground Although maternal death is rare in the United Kingdom, 90% of these women had multiple health/social problems. This study aims to estimate the prevalence of pre-existing multimorbidity (two or more long-term physical or mental health conditions) in pregnant women in the United Kingdom (England, Northern Ireland, Wales and Scotland). Study design Pregnant women aged 15–49 years with a conception date 1/1/2018 to 31/12/2018 were included in this population-based cross-sectional study, using routine healthcare datasets from primary care: Clinical Practice Research Datalink (CPRD, United Kingdom, n = 37,641) and Secure Anonymized Information Linkage databank (SAIL, Wales, n = 27,782), and secondary care: Scottish Morbidity Records with linked community prescribing data (SMR, Tayside and Fife, n = 6099). Pre-existing multimorbidity preconception was defined from 79 long-term health conditions prioritised through a workshop with patient representatives and clinicians. Results The prevalence of multimorbidity was 44.2% (95% CI 43.7–44.7%), 46.2% (45.6–46.8%) and 19.8% (18.8–20.8%) in CPRD, SAIL and SMR respectively. When limited to health conditions that were active in the year before pregnancy, the prevalence of multimorbidity was still high (24.2% [23.8–24.6%], 23.5% [23.0–24.0%] and 17.0% [16.0 to 17.9%] in the respective datasets). Mental health conditions were highly prevalent and involved 70% of multimorbidity CPRD: multimorbidity with ≥one mental health condition/s 31.3% [30.8–31.8%]). After adjusting for age, ethnicity, gravidity, index of multiple deprivation, body mass index and smoking, logistic regression showed that pregnant women with multimorbidity were more likely to be older (CPRD England, adjusted OR 1.81 [95% CI 1.04–3.17] 45–49 years vs 15–19 years), multigravid (1.68 [1.50–1.89] gravidity ≥ five vs one), have raised body mass index (1.59 [1.44–1.76], body mass index 30+ vs body mass index 18.5–24.9) and smoked preconception (1.61 [1.46–1.77) vs non-smoker). Conclusion Multimorbidity is prevalent in pregnant women in the United Kingdom, they are more likely to be older, multigravid, have raised body mass index and smoked preconception. Secondary care and community prescribing dataset may only capture the severe spectrum of health conditions. Research is needed urgently to quantify the consequences of maternal multimorbidity for both mothers and children.
dc.relation.ispartofBMC Pregnancy and Childbirthen
dc.rightsCopyright © The Author(s) 2022. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder.en
dc.subjectMultiple chronic conditionsen
dc.subjectMultiple long-term conditionsen
dc.subjectRA0421 Public health. Hygiene. Preventive Medicineen
dc.subjectRG Gynecology and obstetricsen
dc.titleEpidemiology of pre-existing multimorbidity in pregnant women in the UK in 2018 : a population-based cross-sectional studyen
dc.typeJournal articleen
dc.description.versionPublisher PDFen
dc.contributor.institutionUniversity of St Andrews. Population and Behavioural Science Divisionen
dc.contributor.institutionUniversity of St Andrews. School of Medicineen
dc.contributor.institutionUniversity of St Andrews. Sir James Mackenzie Institute for Early Diagnosisen
dc.description.statusPeer revieweden

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