The University of Southampton
University of Southampton Institutional Repository

Gestational hypertension is associated with increased risk of type 2 diabetes in adult offspring: The Helsinki Birth Cohort Study

Gestational hypertension is associated with increased risk of type 2 diabetes in adult offspring: The Helsinki Birth Cohort Study
Gestational hypertension is associated with increased risk of type 2 diabetes in adult offspring: The Helsinki Birth Cohort Study
0002-9378
1-51
Kajantie, E.
d4e32f85-9988-4b83-b353-012210ea0151
Osmond, C.
2677bf85-494f-4a78-adf8-580e1b8acb81
Eriksson, J.G.
eda300d2-b247-479f-95b9-f12d2c72e92b
Kajantie, E.
d4e32f85-9988-4b83-b353-012210ea0151
Osmond, C.
2677bf85-494f-4a78-adf8-580e1b8acb81
Eriksson, J.G.
eda300d2-b247-479f-95b9-f12d2c72e92b

Kajantie, E., Osmond, C. and Eriksson, J.G. (2016) Gestational hypertension is associated with increased risk of type 2 diabetes in adult offspring: The Helsinki Birth Cohort Study. American Journal of Obstetrics and Gynecology, 1-51. (In Press)

Record type: Article
Text
W16-0764R1.pdf - Accepted Manuscript
Restricted to Repository staff only
Request a copy
Text
W16-0764R1.pdf - Accepted Manuscript
Download (2MB)

More information

Accepted/In Press date: 29 October 2016
Organisations: Faculty of Medicine

Identifiers

Local EPrints ID: 402166
URI: http://eprints.soton.ac.uk/id/eprint/402166
ISSN: 0002-9378
PURE UUID: 030ee598-f847-478b-a6d4-3d1943ef7f52
ORCID for C. Osmond: ORCID iD orcid.org/0000-0002-9054-4655

Catalogue record

Date deposited: 02 Nov 2016 15:25
Last modified: 07 Oct 2020 05:27

Export record

Contributors

Author: E. Kajantie
Author: C. Osmond ORCID iD
Author: J.G. Eriksson

University divisions

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×