The University of Southampton
University of Southampton Institutional Repository

Disproportionate alterations in body composition of large for gestational age neonates

Record type: Article

Objective: The objective was to compare dual-energy x-ray absorptiometry– measured body composition between large (LGA) and appropriate (AGA) birth weight for gestational age neonates.
Study design: LGA term infants (n = 47) with birth weights ?4000 g were compared with 47 gestational age-matched AGA infants; 11 LGA infants were born to mothers with gestational (9) or pregestational diabetes (2). Dual-energy x-ray absorptiometry scans were performed at 1.8 ± 1.0 days after birth.
Results: Body weight and length were the dominant predictors of body composition in LGA and AGA neonates. However, LGA neonates had significantly (P < .001, all comparisons) higher absolute amounts of total body fat, lean body mass, and bone mineral content and had significantly (P < .001, all comparisons) higher proportions of total body fat and bone mineral content but lower lean body mass as a percent of body weight. The changes for total body fat and lean body mass as a percent of body weight were greatest (P < .001) in LGA infants whose mothers had impaired glucose tolerance.
Conclusion: LGA neonates have higher body fat and lower lean body mass than AGA infants. Impaired maternal glucose tolerance exaggerated these body composition changes.

Full text not available from this repository.

Citation

Hammami, Mouhanad, Walters, Jocelyn, Hockman, Elaine M. and Koo, Winston W.K. (2001) Disproportionate alterations in body composition of large for gestational age neonates Journal of Pediatrics, 138, (6), pp. 817-821. (doi:10.1067/mpd.2001.114018).

More information

Published date: 2001

Identifiers

Local EPrints ID: 26353
URI: http://eprints.soton.ac.uk/id/eprint/26353
ISSN: 0022-3476
PURE UUID: d6568084-5123-4e76-a177-bdc61be5d0c2

Catalogue record

Date deposited: 24 Apr 2006
Last modified: 17 Jul 2017 16:07

Export record

Altmetrics

Contributors

Author: Mouhanad Hammami
Author: Jocelyn Walters
Author: Elaine M. Hockman
Author: Winston W.K. Koo

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.

×