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dc.contributor.authorMaslova, Ekaterina
dc.contributor.authorHansen, Susanne
dc.contributor.authorStrøm, Marin
dc.contributor.authorHalldorsson, Thorhallur I
dc.contributor.authorGrunnet, Louise G
dc.contributor.authorVaag, Allan A
dc.contributor.authorOlsen, Sjurdur F
dc.date.accessioned2018-12-17T15:06:11Z
dc.date.available2018-12-17T15:06:11Z
dc.date.issued2018-10-17
dc.date.submitted2018-12
dc.identifier.citationFish Intake in Pregnancy and Offspring Metabolic Parameters at Age 9⁻16-Does Gestational Diabetes Modify the Risk? 2018,10(10). pii: E1534 Nutrientsen_US
dc.identifier.issn2072-6643
dc.identifier.pmid30336645
dc.identifier.doi10.3390/nu10101534
dc.identifier.urihttp://hdl.handle.net/2336/620755
dc.descriptionTo access publisher's full text version of this article, please click on the hyperlink in Additional Links field or click on the hyperlink at the top of the page marked Downloaden_US
dc.description.abstractOily fish, an important source of marine n-3 long-chain polyunsaturated fatty acids (LCPUFA), has shown to reduce cardiometabolic risk in adults. Whether maternal fish intake affects offspring metabolic health is less established, especially among high-risk pregnancies. We aimed to examine the association of fish intake in pregnancy with offspring metabolic health who were either exposed or unexposed to gestational diabetes mellitus (GDM). Our study included 1234 mother-offspring dyads (608 with a GDM index pregnancy and 626 control dyads) nested within the Danish National Birth Cohort, which is a prebirth cohort. Maternal seafood and marine n-3 LCPUFA consumption was quantified by a food frequency questionnaire (gestational week 25) and a sub-sample with interview data (weeks 12 and 30). The offspring were clinically examined at 9⁻16 years, including a Dual energy X-ray Absorptiometry (DXA) scan and a fasting blood sample. We calculated multivariable effect estimates and 95% confidence intervals (CI) for anthropometric, adiposity, and metabolic parameters. The median (IQR) intake of total seafood was 23(24) g/day. We found largely no association for total seafood and marine n-3 LCPUFA with offspring metabolic parameters in either group. Using interview data, GDM-exposed women reporting no fish in week 12 and 30 (versus intake >2 times/week) had offspring with a higher Body Mass Index (BMI) (ratio of geometric means (RGM): 1.28, 95% CI: 1.06, 1.55), waist circumference (RGM: 1.22, 95% CI: 1.05, 1.40), triglycerides (RGM: 1.77, 95% CI: 1.03, 3.03), and homeostatic model assessment of insulin resistance HOMA-IR (RGM: 2.16, 95% CI: 1.17, 3.97). We found no associations of n-3 LCPUFA and seafood intake with offspring metabolic outcomes. However, GDM-exposed women who consistently reported eating no fish had offspring with a poorer metabolic profile. Fish intake in pregnancy may mitigate some adverse effects of intrauterine hyperglycemia, however, these findings need replication in better powered studies.en_US
dc.description.sponsorshipEuropean Commission Danish Diabetes Academy - Novo Nordisk Foundation Danish Council for Strategic Research Innovation Fund Denmark Rigshospitalet, Copenhagen University Hospitalen_US
dc.language.isoenen_US
dc.publisherMDPI Publishingen_US
dc.relation.urlhttps://www.mdpi.com/2072-6643/10/10/1534en_US
dc.subjectGDMen_US
dc.subjectHOMA-IRen_US
dc.subjectadiposityen_US
dc.subjectcohorten_US
dc.subjectfishen_US
dc.subjectpregnancyen_US
dc.subjectSjávarafurðiren_US
dc.subjectMeðgangaen_US
dc.subjectBörnen_US
dc.subjectLíkamsástanden_US
dc.subjectLíkamsþyngdarstuðullen_US
dc.subject.meshDiabetes, Gestationalen_US
dc.subject.meshPregnancyen_US
dc.subject.meshFish Oilsen_US
dc.subject.meshAdiposityen_US
dc.subject.meshChilden_US
dc.subject.meshSeafooden_US
dc.titleFish Intake in Pregnancy and Offspring Metabolic Parameters at Age 9⁻16-Does Gestational Diabetes Modify the Risk?en_US
dc.typeArticleen_US
dc.contributor.department1 Centre for Fetal Programming, Department of Epidemiology Research, Statens Serum Institut, DK-2300 Copenhagen, Denmark. ekaterina.maslova14@imperial.ac.uk. 2 Department of Primary Care and Public Health, Imperial College, London W6 6RP, UK. ekaterina.maslova14@imperial.ac.uk. 3 Danish Diabetes Academy, DK-5000 Odense, Denmark. ekaterina.maslova14@imperial.ac.uk. 4 Centre for Fetal Programming, Department of Epidemiology Research, Statens Serum Institut, DK-2300 Copenhagen, Denmark. Susanne.Hansen.10@regionh.dk. 5 Research Centre for Prevention and Health, Rigshospitalet-Glostrup, DK-2600 Copenhagen, Denmark. Susanne.Hansen.10@regionh.dk. 6 Centre for Fetal Programming, Department of Epidemiology Research, Statens Serum Institut, DK-2300 Copenhagen, Denmark. mrm@ssi.dk. 7 Faculty of Natural and Health Sciences, University of Faroe Islands, 100 Torshavn, Faroe Islands. mrm@ssi.dk. 8 Centre for Fetal Programming, Department of Epidemiology Research, Statens Serum Institut, DK-2300 Copenhagen, Denmark. lur@ssi.dk. 9 Faculty of Food Science and Nutrition, School of Health Sciences, University of Iceland, 101 Reykjavik, Iceland. lur@ssi.dk. 10 Unit for Nutrition Research, Landspitali University Hospital, IS-101 Reykjavik, Iceland. lur@ssi.dk. 11 Danish Diabetes Academy, DK-5000 Odense, Denmark. louise.groth.grunnet@regionh.dk. 12 Department of Endocrinology-Diabetes and Metabolism, Rigshospitalet, DK-2100 Copenhagen, Denmark. louise.groth.grunnet@regionh.dk. 13 Department of Endocrinology-Diabetes and Metabolism, Rigshospitalet, DK-2100 Copenhagen, Denmark. allan.vaag@astrazeneca.com. 14 Cardiovascular and Metabolic Disease (CVMD) Translational Medicine Unit, Early Clinical Development, IMED Biotech Unit, AstraZeneca, 431 50 Gothenburg, Sweden. allan.vaag@astrazeneca.com. 15 Centre for Fetal Programming, Department of Epidemiology Research, Statens Serum Institut, DK-2300 Copenhagen, Denmark. sfo@ssi.dk. 16 Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA. sfo@ssi.dk.en_US
dc.identifier.journalNutrientsen_US
dc.rights.accessOpen Access - Opinn aðganguren_US
dc.departmentcodeNUR12
dc.source.journaltitleNutrients
refterms.dateFOA2018-12-17T15:06:11Z


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