Diabetes
HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
 QUICK SEARCH:   [advanced]


     


Diabetes 57:1153-1155, 2008
DOI: 10.2337/db08-0286
© 2008 by the American Diabetes Association
This Article
Right arrow Full Text
Right arrow Full Text (PDF)
Right arrow Purchase Article
Right arrow View Shopping Cart
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrow Request Permissions
Google Scholar
Right arrow Articles by Hanley, A. J.G.
Right arrow Articles by Wagenknecht, L. E.
PubMed
Right arrow PubMed Citation
Right arrow Articles by Hanley, A. J.G.
Right arrow Articles by Wagenknecht, L. E.
Related Collections
Right arrowRelated Article
Social Bookmarking
 Add to CiteULike   Add to Del.icio.us   Add to Digg   Add to Reddit   Add to Technorati  
What's this?

Commentary

Abdominal Adiposity and Diabetes Risk

The Importance of Precise Measures and Longitudinal Studies

Anthony J.G. Hanley1, and Lynne E. Wagenknecht2

1 University of Toronto, Department of Nutritional Sciences, Toronto, Ontario, Canada
2 Wake Forest University School of Medicine, Winston-Salem, North Carolina

Corresponding author: Lynne E. Wagenknecht, Wake Forest University School of Medicine, Medical Center Boulevard, Winston-Salem NC 27157. E-mail: lwgnkcht@wfubmc.edu

The first 20% of the full text of this article appears below.

Obesity is perhaps the longest studied and best described risk factor for type 2 diabetes. Epidemiologic investigations have consistently shown an independent increased risk for diabetes associated with overweight and obesity, with clear dose response patterning across categories of increasing body mass. While the importance of increased body mass in diabetes etiology is unequivocal, it has been recognized for some time that the distribution of body fat provides additional resolution regarding diabetes risk. In 1947, Vague (1) noted that an android (male or upper body) pattern of obesity was associated with a poorer metabolic profile compared with a gynecoid (lower body) pattern. These clinical observations regarding the detrimental health effects of central or upper body obesity were subsequently reinforced by the results of large prospective epidemiological studies of diabetes incidence, in which fat patterning of subjects was estimated using body surface measurements, specifically waist and hip circumferences and skinfold thicknesses (2–5). While these and other studies have reported superior prediction of diabetes with waist circumference or waist-to-hip ratio compared with BMI, it is notable that this is far from a universal finding. Indeed, a recent meta-analysis of 32 studies concluded that BMI, waist circumference, and waist-to-hip ratio had similar associations with incident diabetes (6).

This lack of clarity in the epidemiologic literature regarding optimal measures of obesity for studies of diabetes risk is due at least in part to the nature of these proxy (surrogate) measurements. Body surface measures such as waist circumference do not distinguish between the various adipose tissue depots, which are known to have differences in biologic function. Specifically, there can be sizable differences in the amounts of visceral (VAT) and subcutaneous adipose tissue . . . [Full Text of this Article]


Add to CiteULike CiteULike   Add to Del.icio.us Del.icio.us   Add to Digg Digg   Add to Reddit Reddit   Add to Technorati Technorati    What's this?

Related Article:

Visceral Adiposity, Not Abdominal Subcutaneous Fat Area, Is Associated With an Increase in Future Insulin Resistance in Japanese Americans
Tomoshige Hayashi, Edward J. Boyko, Marguerite J. McNeely, Donna L. Leonetti, Steven E. Kahn, and Wilfred Y. Fujimoto
Diabetes 2008 57: 1269-1275. [Abstract] [Full Text] [PDF]






HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
Diabetes Diabetes Care Clinical Diabetes Diabetes Spectrum
Copyright © 2008 by the American Diabetes Association.