Biostatistics Research - Statistics, Uncertainty, Probability, Modeling

Biostatistics Research Today is a free monthly online journal that collates and summarizes the latest research about Biostatistics, including details on statistics, uncertainty, probability, modeling.


Biostatistics Research Today

Home

View Latest Issue

Information About Biostatistics

Books on Biostatistics

Advertising in Research Today

View Other Research Today Publications



Increased neonatal fat mass, not lean body mass, is associated with maternal obesity.

Sewell MF, Huston-Presley L, Super DM, Catalano P

Department of Reproductive Biology, Maternal-Fetal Medicine Division, Case Western Reserve University, Cleveland, OH, USA. mark.f.sewell@us.army.mil

OBJECTIVE: The purpose of this study was to compare body composition measures in neonates of women who were overweight/obese (body mass index, > or = 25 kg/m2) versus women who were lean/average (body mass index, < 25 kg/m2), all of whom had normal glucose tolerance levels. STUDY DESIGN: Seventy-six neonates (34 female and 42 male) of singleton pregnancies of pregravid overweight/obese women and 144 neonates (67 female and 77 male) of lean/average women were assessed with anthropometric measures and total body electrical conductivity evaluation of body composition at birth. RESULTS: There was a borderline increase in birthweight (3436 +/- 567 g vs 3284 +/- 534 g; P = .051) but not lean body mass (3020 +/- 410 g vs 2950 +/- 400 g; P = .23) in the overweight/obese versus lean/average weight groups. However, there were significant increases in percent body fat (11.6% +/- 4.7% vs 9.7 +/- 4.3%; P = .003) and fat mass (420 +/- 220 g vs 380 +/- 170 g; P = .01) in neonates of overweight/obese women versus lean/average weight women. CONCLUSION: Overweight/obese women with normal glucose tolerance levels have neonates who are heavier than lean/average weight women because of increased adiposity. We speculate that this increased obesity in offspring of obese women with normal glucose tolerance levels is a significant risk for adolescent obesity and components of the metabolic syndrome.

Published 26 September 2006 in Am J Obstet Gynecol, 195(4): 1100-3.
Full-text of this article is available online (may require subscription).

Place a permanent text-link or advertisement here for just US$15.

© 2005-2008 Biostatistics Research Today. All Rights Reserved.



Biostatistics Research Today Archive:

Volume 1 (2005)
  Issue 1 (September)
  Issue 2 (October)
  Issue 3 (November)
  Issue 4 (December)

Volume 2 (2006)
  Issue 1 (January)
  Issue 2 (February)
  Issue 3 (March)
  Issue 4 (April)
  Issue 5 (May)
  Issue 6 (June)
  Issue 7 (July)
  Issue 8 (August)
  Issue 9 (September)
  Issue 10 (October)
  Issue 11 (November)
  Issue 12 (December)

Volume 3 (2007)
  Issue 1 (January)
  Issue 2 (February)
  Issue 3 (March)
  Issue 4 (April)
  Issue 5 (May)
  Issue 6 (June)
  Issue 7 (July)
  Issue 8 (August)
  Issue 9 (September)
  Issue 10 (October)
  Issue 11 (November)
  Issue 12 (December)

Volume 4 (2008)
  Issue 1 (January)
  Issue 2 (February)
  Issue 3 (March)
  Issue 4 (April)
  Issue 5 (May)
  Issue 6 (June)
  Issue 7 (July)
  Issue 8 (August)
  Issue 9 (September)



Biostatistics Books

A Study Gu to Epidemiology and Biostatistics, Fifth Edition (Study Guide to Epidemiology and Biostatistics)

A Study Gu to Epidemiology and Biostatistics, Fifth Edition (Study Guide to Epidemiology and Biostatistics)