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dc.contributor.authorPetry, Cliveen
dc.contributor.authorOng, Kennethen
dc.contributor.authorHughes, Ieuanen
dc.contributor.authorAcerini, Carloen
dc.contributor.authorDunger, Daviden
dc.date.accessioned2019-11-22T10:09:23Z
dc.date.available2019-11-22T10:09:23Z
dc.identifier.urihttps://www.repository.cam.ac.uk/handle/1810/299159
dc.descriptionDataset used for the paper " Temporal Trends in Maternal Food Intake Frequencies and Associations with Gestational Diabetes: The Cambridge Baby Growth Study" published as a manuscript in Nutrients (Nutrients 2019, 11(11), 2822; https://www.mdpi.com/2072-6643/11/11/2822/htm) and containing data from the Cambridge Baby Growth Study. Uncompressed Microsoft 2013 (.xlsx) file (1,240 rows including header; 62 columns including one for a dummy identifier) containing data relevant to the publication collected as part of the Cambridge Baby Growth Study (data collection 2001-2019). All the study participants were recruited from pregnancy clinics at the Rosie Maternity Hospital, Cambridge (2001-2009) around week 15 of pregnancy. A research 75 g oral glucose tolerance test (after an overnight fast) was performed on participants around week 28 of pregnancy. Gestational diabetes was characterised according to International Association of Diabetes in Pregnancy Study Groups criteria. Insulin concentrations were measured using enzyme-linked immunosorbent assays and glucose by a standard laboratory technique. HOMA modelling was performed using the online HOMA calculator (https://www.dtu.ox.ac.uk/homacalculator/). The index of multiple deprivation was estimated from residential postcodes. Missing data are presented by empty cells. For further information about the study please contact Dr. Clive Petry (address below; email: cjp1002@cam.ac.uk). For further general information about the Cambridge Baby Growth Study please contact Dr. Clive Petry (Department of Paediatrics, Box 116, Addenbrooke's Hospital, Cambridge Biomedical Campus, Hills Road, Cambridge CB2 0QQ, U.K.; email: cjp1002@cam.ac.uk).en
dc.description.sponsorshipThis work was funded by the Medical Research Council (grant numbers G1001995, 7500001180); European Union Framework 5 (grant number QLK4-1999-01422); the Mothercare Charitable Foundation (grant number RG54608); Newlife—The Charity for Disabled Children (grant number 07/20); the World Cancer Research Fund International (grant number 2004/03); and the National Institute for Health Research Cambridge Biomedical Research Centre. K.K.O. is supported by the Medical Research Council (Unit Programme number: MC_UU_12015/2).en
dc.formatMicrosoft Excel 2013en
dc.rightsAttribution 4.0 Internationalen
dc.rightsAttribution 4.0 Internationalen
dc.rightsAttribution 4.0 Internationalen
dc.rightsAttribution 4.0 Internationalen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en
dc.subjectpregnancyen
dc.subjectdiabetesen
dc.subjectnutritionen
dc.subjectdieten
dc.subjectfood frequency questionnaireen
dc.subjectglucoseen
dc.subjectinsulin secretionen
dc.titleDataset for the paper "Temporal Trends in Maternal Food Intake Frequencies and Associations with Gestational Diabetes: The Cambridge Baby Growth Study" [Dataset]en
dc.typeDataset
dc.identifier.doi10.17863/CAM.46070
rioxxterms.licenseref.urihttp://creativecommons.org/licenses/by/4.0/en
datacite.contributor.supervisorDunger, David Brian
dcterms.format.xlsxen
dc.contributor.orcidPetry, Clive [0000-0002-6642-9825]
dc.contributor.orcidOng, Kenneth [0000-0003-4689-7530]
dc.contributor.orcidDunger, David [0000-0002-2566-9304]
rioxxterms.typeOtheren
pubs.funder-project-idCambridge University Hospitals NHS Foundation Trust (CUH) (146281)
pubs.funder-project-idNational Institute for Health Research (NIHR) (unknown)
datacite.issupplementto.doi10.3390/nu11112822en
datacite.issupplementto.urlhttps://www.repository.cam.ac.uk/handle/1810/298891


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Except where otherwise noted, this item's licence is described as Attribution 4.0 International