The use of bioelectrical impedance analysis to assess body composition and clinical outcomes after gastric bypass surgery.
2011-07
Loading...
View/Download File
Persistent link to this item
Statistics
View StatisticsJournal Title
Journal ISSN
Volume Title
Title
The use of bioelectrical impedance analysis to assess body composition and clinical outcomes after gastric bypass surgery.
Authors
Published Date
2011-07
Publisher
Type
Thesis or Dissertation
Abstract
Body composition assessment in obese and gastric bypass patients is an important component of clinical care that remains somewhat elusive. The physiological abnormalities that occur in these populations pose unique challenges to available body composition assessment techniques. In particular, there is a lack of adequate field methods that are appropriate for clinical use (i.e. rapid, convenient, inexpensive, and accurate). Bioelectrical impedance analysis (BIA) promises to be just such a method. This thesis explores the topics of obesity and roux-en-Y gastric bypass (RYGB) surgery, the body composition changes that occur after RYGB, and methods used for assessment, with a particular focus on advancing multi-frequency BIA (MF-BIA) and bioimpedance spectroscopy (BIS) analysis.
Keywords
Description
University of Minnesota. M.S. thesis. July 2011. Major: Nutrition. Advisor: Carrie Earthman. 1 computer file (PDF); ix, 107 pages.
Related to
Replaces
License
Series/Report Number
Funding information
Isbn identifier
Doi identifier
Previously Published Citation
Other identifiers
Suggested citation
Kunkel, Sarah Anne. (2011). The use of bioelectrical impedance analysis to assess body composition and clinical outcomes after gastric bypass surgery.. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/114056.
Content distributed via the University Digital Conservancy may be subject to additional license and use restrictions applied by the depositor. By using these files, users agree to the Terms of Use. Materials in the UDC may contain content that is disturbing and/or harmful. For more information, please see our statement on harmful content in digital repositories.