The University of Southampton
University of Southampton Institutional Repository

Evidence for fetal programming of obesity with a focus on putative mechanisms

Evidence for fetal programming of obesity with a focus on putative mechanisms
Evidence for fetal programming of obesity with a focus on putative mechanisms
Obesity is associated with insulin resistance, the metabolic syndrome (a clustering of three or more of increased waist circumference, blood pressure, fasting glucose and fasting plasma triacylglycerol levels and reduced HDL levels), and a marked increase in the risk of type 2 diabetes and CHD. The impact of obesity differs between individuals, particularly between men and women and between ethnic groups. For example, in South Asians, although overall obesity is less prevalent, central obesity and the metabolic syndrome are more prevalent than in Europeans and this pattern is associated with the development of type 2 diabetes and CHD at an earlier age. It is important to examine individual risk factors contributing to obesity because they may have a different impact in population subgroups. Many factors contribute to the aetiology of obesity and there is increasing evidence to suggest that altered early development is one such factor and is associated with abnormal fat accumulation, the metabolic syndrome and type 2 diabetes in later life. The present review presents this evidence and discusses some of the mechanisms that may be involved in the pathogenesis of the programming of obesity.
fetal programming, diabetes mellitus, obesity, metabolic syndrome, coronary heart disease
0954-4224
153-162
Wild, Sarah H.
b790195a-4aae-421b-81f7-2c18c96e6870
Byrne, Christopher D.
1370b997-cead-4229-83a7-53301ed2a43c
Wild, Sarah H.
b790195a-4aae-421b-81f7-2c18c96e6870
Byrne, Christopher D.
1370b997-cead-4229-83a7-53301ed2a43c

Wild, Sarah H. and Byrne, Christopher D. (2004) Evidence for fetal programming of obesity with a focus on putative mechanisms. Nutrition Research Reviews, 17 (2), 153-162. (doi:10.1079/NRR200487).

Record type: Article

Abstract

Obesity is associated with insulin resistance, the metabolic syndrome (a clustering of three or more of increased waist circumference, blood pressure, fasting glucose and fasting plasma triacylglycerol levels and reduced HDL levels), and a marked increase in the risk of type 2 diabetes and CHD. The impact of obesity differs between individuals, particularly between men and women and between ethnic groups. For example, in South Asians, although overall obesity is less prevalent, central obesity and the metabolic syndrome are more prevalent than in Europeans and this pattern is associated with the development of type 2 diabetes and CHD at an earlier age. It is important to examine individual risk factors contributing to obesity because they may have a different impact in population subgroups. Many factors contribute to the aetiology of obesity and there is increasing evidence to suggest that altered early development is one such factor and is associated with abnormal fat accumulation, the metabolic syndrome and type 2 diabetes in later life. The present review presents this evidence and discusses some of the mechanisms that may be involved in the pathogenesis of the programming of obesity.

This record has no associated files available for download.

More information

Published date: 2004
Additional Information: ISI:000225865600003
Keywords: fetal programming, diabetes mellitus, obesity, metabolic syndrome, coronary heart disease

Identifiers

Local EPrints ID: 26128
URI: http://eprints.soton.ac.uk/id/eprint/26128
ISSN: 0954-4224
PURE UUID: 84321a10-2bf3-4839-b9e4-61634c2b393a
ORCID for Christopher D. Byrne: ORCID iD orcid.org/0000-0001-6322-7753

Catalogue record

Date deposited: 12 Apr 2006
Last modified: 16 Mar 2024 03:07

Export record

Altmetrics

Contributors

Author: Sarah H. Wild

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.

×