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Mathematical Modeling in Experimental Nutrition

  • Book
  • © 1998

Overview

Editors:
  1. Andrew J. Clifford

    1. University of California at Davis, Davis, USA

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    You can also search for this editor in PubMed   Google Scholar

  2. Hans-Georg Müller

    1. University of California at Davis, Davis, USA

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

Part of the book series: Advances in Experimental Medicine and Biology (AEMB, volume 445)

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Table of contents (25 chapters)

  1. Front Matter

    Pages i-xi
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  2. Theoretical Considerations in Compartmental Modeling

    1. Front Matter

      Pages 1-1
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    2. Balancing Needs, Efficiency, and Functionality in the Provision of Modeling Software: A Perspective of the NIH WinSAAM Project

      • Peter Greif, Meryl Wastney, Oscar Linares, Ray C. Boston
      Pages 3-20

    3. Compartmental Modeling of Human Lactation

      • Janet A. Novotny, Benjamin Caballero
      Pages 21-33

    4. Modeling Protein Turnover: A Module for Teaching Modeling

      • Heidi A. Johnson
      Pages 35-57

    5. Developing and Testing Integrated Multicompartment Models to Describe a Single-Input Multiple-Output Study Using the SAAM II Software System

      • David M. Foster
      Pages 59-78

    6. Compartmental Models: Theory and Practice Using the SAAM II Software System

      • Claudio Cobelli, David M. Foster
      Pages 79-101

    7. Approaches to Population Kinetic Analysis with Application to Metabolic Studies

      • Paolo Vicini, P. Hugh, R. Barrett, Claudio Cobelli, David M. Foster, Alan Schumitzky
      Pages 103-113

    8. The Mathematics behind Modeling

      • Judah Rosenblatt
      Pages 115-129

    9. Distributing Working Versions of Published Mathematical Models for Biological Systems via the Internet

      • Meryl E. Wastney, D. C. Yang, D. F. Andretta, J. Blumenthal, J. Hylton, N. Canolty et al.
      Pages 131-135

  3. Statistical Modeling in Nutrition

    1. Front Matter

      Pages 137-137
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    2. Measurement Error and Dietary Intake

      • Raymond J. Carroll, Laurence S. Freedman, Victor Kipnis
      Pages 139-145

    3. Statistical Models for Quantitative Bioassay

      • Matthew R. Facer, Hans-Georg Müller, Andrew J. Clifford
      Pages 147-171

    4. Statistical Issues in Assay Development and Use

      • David Giltinan
      Pages 173-190

    5. Statistical Tools for the Analysis of Nutrition Effects on the Survival of Cohorts

      • Hans-Georg Müller, Jane-Ling Wang
      Pages 191-203

  4. Applications of Modeling

    1. Front Matter

      Pages 205-205
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    2. Development of a Compartmental Model Describing the Dynamics of Vitamin A Metabolism in Men

      • Doris von Reinersdorff, Michael H. Green, Joanne Balmer Green
      Pages 207-223

    3. Compartmental Models of Vitamin A and β-Carotene Metabolism in Women

      • Betty Jane Burri, Jin-Young K. Park
      Pages 225-237

    4. The Dynamics of Folic Acid Metabolism in an Adult Given a Small Tracer Dose of 14C-Folic Acid

      • Andrew J. Clifford, Ali Arjomand, Stephen R. Dueker, Philip D. Schneider, Bruce A. Buchholz, John S. Vogel
      Pages 239-251

    5. Human Zinc Metabolism: Advances in the Modeling of Stable Isotope Data

      • Leland V. Miller, Nancy F. Krebs, K. Michael Hambidge
      Pages 253-269
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Keywords

About this book

Nutrients have been recognized as essential for maximum growth, successful reproduction, and infection prevention since the 1940s; since that time, the lion's share of nutrient research has focused on defining their role in these processes. Around 1990, however, a major shift began in the way that researchers viewed some nutrients­ particularly the vitamins. This shift was motivated by the discovery that modest declines in vitamin nutritional status are associated with an increased risk of ill-health and disease (such as neural tube defects, heart disease, and cancer), especially in those populations or individuals who are genetically predisposed. In an effort to expand upon this new understanding of nutrient action, nutritionists are increasingly turning their focus to the mathematical modeling of nutrient kinetic data. The availability of suitably-tagged (isotope) nutrients (such as B-carotene, vitamin A, folate, among others), sensitive analytical methods to trace them in humans (mass spectrometry and accelerator mass spectrometry), and powerful software (capable of solving and manipulating differential equations efficiently and accurately), has allowed researchers to construct mathematical models aimed at characterizing the dynamic and kinetic behavior of key nutrients in vivo in humans at an unparalleled level of detail.

Reviews

`... this book will be very useful as a reference in department libraries or as a text in advanced nutrition and dietetics undergraduate and graduate courses.'
Journal of the American Dietetic Association, 100:3 (2000)

Editors and Affiliations

  • University of California at Davis, Davis, USA

    Andrew J. Clifford, Hans-Georg Müller

Bibliographic Information

  • Book Title: Mathematical Modeling in Experimental Nutrition

  • Editors: Andrew J. Clifford, Hans-Georg Müller

  • Series Title: Advances in Experimental Medicine and Biology

  • DOI: https://doi.org/10.1007/978-1-4899-1959-5

  • Publisher: Springer New York, NY

  • eBook Packages: Springer Book Archive

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Science+Business Media, LLC, part of Springer Nature 1998

  • Hardcover ISBN: 978-0-306-46020-3Published: 31 August 1998

  • Softcover ISBN: 978-1-4899-1961-8Published: 14 June 2013

  • eBook ISBN: 978-1-4899-1959-5Published: 21 November 2013

  • Series ISSN: 0065-2598

  • Series E-ISSN: 2214-8019

  • Edition Number: 1

  • Number of Pages: XII, 426

  • Topics: Nutrition, Biochemistry, general, Biological and Medical Physics, Biophysics

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