Genomics, Nutrition, Obesity, and Diabetes

doi:10.1111/j.1547-5069.2006.00071.x

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Wiley InterScience

Journal of Nursing Scholarship

Volume 38 Issue 1, Pages 11 - 18

Published Online: 13 Feb 2006

Published with Sigma Theta Tau International, Honor Society of Nursing

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Genomics to Health

Genomics, Nutrition, Obesity, and Diabetes

Rolanda L. Johnson ¹ , Scott M. Williams ¹ , Ida J. Spruill ¹

¹ Rolanda L. Johnson, RN, MSN, PhD, Iota, Assistant Professor, School of Nursing; Scott M. Williams, PhD, Associate Professor, Division of Cardiovascular Medicine, Department of Medicine and Center for Human Genetics Research; both at Vanderbilt University, Nashville, TN; Ida J. Spruill, RN, MSN, LSW, Doctoral Student, School of Nursing, Hampton University, Hampton, VA. Correspondences to Dr. Johnson, Vanderbilt University School of Nursing, Godchaux Hall, Nashville, TN 37240. E-mail: rolanda.johnson@vanderbilt.edu or rolanda.johnson@vanderbilt.edu.fx4243vz

KEYWORDS

genetics • obesity • diabetes • nutrition

ABSTRACT

Purpose: To present evidence of genetic and environmental interactions as they relate to nutrition, diabetes, and obesity.

Methods: A review of seminal literature related to genetics, obesity, and diabetes.

Findings: Multifactorial interactions are important in the development of nutrition-related disorders, but the challenge remains to explain how these interactions are expressed. Treating subpopulations of people might be important and useful to some extent at present, but in the future treating people of given genetic predispositions and other personal and environmental factors will have greater effects on quality-of-life indicators and life expectancies.

Conclusions: Individualization coupled with multifactorial interactions will lead to new and more effective preventive and treatment modalities of nutrition-related disorders. With obesity and diabetes, genomics will bridge the traditional use of diet, exercise, and weight reduction with other environmental factors, ultimately leading to healthier lives.

Accepted for publication June 20, 2005.

DIGITAL OBJECT IDENTIFIER (DOI)

10.1111/j.1547-5069.2006.00071.x About DOI