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Nutritional Assessment
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Preface
Table of Contents
New to this Edition
About the Authors
Additional Appendix In...
Food Composition Table
Errata


Student Edition
Instructor Edition
Nutritional Assessment, 6/e

Robert D. Lee, Central Michigan University
David C. Nieman, Appalachian State University

ISBN: 0078021332
Copyright year: 2013

New to this Edition



The numerous revisions and additions to the sixth edition of Nutritional Assessment make it the most comprehensive and up-to-date textbook available on the subject. Included in this edition are updates to the U.S. Department of Agriculture’s nutrient databases, recent advances in computerized dietary analysis systems, and information on the increased availability of online dietary analysis systems such as the National Cancer Institute’s Internet-based automated self-administered 24-hour dietary recall. The coverage of surveys conducted by the U.S. Department of Health and Human Services such as the Pregnancy Nutrition Surveillance System, the Pediatric Nutrition Surveillance System, the Total Diet Study, and the Behavioral Risk Factor Surveillance System has been expanded. Data and graphics on food and nutrient intake and the prevalence of overweight, obesity, hypertension, and food insecurity have been thoroughly updated. Discussion of plasma-based markers of coronary heart disease risk, lifestyle modifications to prevent and manage hypertension, the diagnosis and prevention of osteoporosis, and the diagnostic criteria for diabetes has been expanded and updated. Student Learning Outcomes have been added to the be gin n ing of each chapter to outline the concepts to be learned.

The food composition tables (Appendix I in the fifth edition) have been removed and substituted with online tables from Home and Garden Bulletin #72 (Gebhardt, Susan E., and Robin G. Thomas. 2002. Nutritive Value of Foods. U.S. Department of Agriculture, Agricultural Research Service, Home and Garden Bulletin 72). The online food composition tables will allow the student to perform manual calculations of the nutrient content of their diet using a concise database.


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