Relationship between polycystic ovaries, body mass index and insulin resistance
Relationship between polycystic ovaries, body mass index and insulin resistance
Background: to investigate insulin levels in lean and overweight women with and without polycystic ovaries. An observational, cross-sectional study at The Northem General Hospital, Sheffield, UK.
Methods: sixty-eight women born at Jessop Hospital, Sheffield, between 1952 and 1953 were divided into four groups according to the status of their polycystic ovaries and body mass index: either > or ~ 25. Therefore, this was an unselected sample, unlike previous studies that have recruited from endocrine clinics or similar. Subjects underwent pelvic ultrasonography to visualize their ovaries in order to diagnose or exclude polycystic ovaries. They all underwent a short insulin tolerance test.
Results: women with a body mass index > 25 and with polycystic ovaries were the most insulin resistant. Women with a body mass index of ??25 and with normal ovaries were the most insulin sensitive. Women with a body mass index ??25 and polycystic ovaries were the more resistant than those with a body mass index > 25 and with normal ovaries.
Conclusion: obesity increases insulin resistance, and the presence of polycystic ovaries increases insulin resistance. The presence of polycystic ovaries appears to have a stronger influence than obesity on insulin resistance. This is the first study to demonstrate these relationships using unselected volunteers.
61-64
Cresswell, Janet
1efd1e47-d542-424e-9e2c-e8e7b3e0c34d
Fraser, Robert B.
8616d64e-aefe-4686-9690-3d450093e37d
Bruce, Christine
667a53c2-b147-4f11-802b-e3d8df5d6b10
Egger, Peter
6a5ff6e6-4675-453e-8006-b20bb6fe5d49
Phillips, David
29b73be7-2ff9-4fff-ae42-d59842df4cc6
Barker, David J.P.
5c773838-b094-4ac1-999b-b5869717f243
2003
Cresswell, Janet
1efd1e47-d542-424e-9e2c-e8e7b3e0c34d
Fraser, Robert B.
8616d64e-aefe-4686-9690-3d450093e37d
Bruce, Christine
667a53c2-b147-4f11-802b-e3d8df5d6b10
Egger, Peter
6a5ff6e6-4675-453e-8006-b20bb6fe5d49
Phillips, David
29b73be7-2ff9-4fff-ae42-d59842df4cc6
Barker, David J.P.
5c773838-b094-4ac1-999b-b5869717f243
Cresswell, Janet, Fraser, Robert B., Bruce, Christine, Egger, Peter, Phillips, David and Barker, David J.P.
(2003)
Relationship between polycystic ovaries, body mass index and insulin resistance.
Acta Obstetricia et Gynecologica Scandinavica, 82 (1), .
(doi:10.1034/j.1600-0412.2003.820111.x).
Abstract
Background: to investigate insulin levels in lean and overweight women with and without polycystic ovaries. An observational, cross-sectional study at The Northem General Hospital, Sheffield, UK.
Methods: sixty-eight women born at Jessop Hospital, Sheffield, between 1952 and 1953 were divided into four groups according to the status of their polycystic ovaries and body mass index: either > or ~ 25. Therefore, this was an unselected sample, unlike previous studies that have recruited from endocrine clinics or similar. Subjects underwent pelvic ultrasonography to visualize their ovaries in order to diagnose or exclude polycystic ovaries. They all underwent a short insulin tolerance test.
Results: women with a body mass index > 25 and with polycystic ovaries were the most insulin resistant. Women with a body mass index of ??25 and with normal ovaries were the most insulin sensitive. Women with a body mass index ??25 and polycystic ovaries were the more resistant than those with a body mass index > 25 and with normal ovaries.
Conclusion: obesity increases insulin resistance, and the presence of polycystic ovaries increases insulin resistance. The presence of polycystic ovaries appears to have a stronger influence than obesity on insulin resistance. This is the first study to demonstrate these relationships using unselected volunteers.
This record has no associated files available for download.
More information
Published date: 2003
Identifiers
Local EPrints ID: 25387
URI: http://eprints.soton.ac.uk/id/eprint/25387
ISSN: 0001-6349
PURE UUID: 337f1b50-5655-4345-a3cb-84231ba00759
Catalogue record
Date deposited: 07 Apr 2006
Last modified: 15 Mar 2024 07:02
Export record
Altmetrics
Contributors
Author:
Janet Cresswell
Author:
Robert B. Fraser
Author:
Christine Bruce
Author:
Peter Egger
Author:
David Phillips
Author:
David J.P. Barker
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