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Prevention of Type 2 Diabetes pp 81–102Cite as

Predicting Diabetes

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Abstract

The astute reader, seeing the length of this chapter, will immediately surmise that the ability of the biomedical community to predict diabetes is quite limited, despite a larger number of studies. We encourage our readers to learn with us from past studies and to prepare for the more promising approaches presented near the close of the chapter.

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Acknowledgments

We are indebted to Michael Bergman for his insightful comments and to Ian Whitford and Sana Qureshi for excellent editorial assistance.

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Authors and Affiliations

  1. Unit for Cardiovascular Epidemiology, The Gertner Institute for Epidemiology and Health Policy Research, Sheba Medical Center, Tel Hashomer, 52621, Israel

    Rachel Dankner MD, MPH

  2. Department of Epidemiology and Preventive Medicine, Sackler Faculty of Medicine, School of Public Health, Tel Aviv University, Ramat Aviv, Tel Aviv, 69978, Israel

    Rachel Dankner MD, MPH

  3. Patient Oriented Research, The Feinstein Institute for Medical Research, Manhasset, North Shore, 11030, New York, USA

    Rachel Dankner MD, MPH

  4. Laboratory of Diabetes & Metabolic Disorders, Elmezzi Graduate School of Molecular Medicine, The Feinstein Institute for Medical Research, Hofstra North Shore-LIJ School of Medicine, 350 Community Drive, Manhasset, 11030, New York, USA

    Jesse Roth MD

  5. Endocrinology Division, Department of Medicine, Albert Einstein College of Medicine, Yeshiva University, Bronx, NY, 10461, USA

    Jesse Roth MD

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  1. Rachel Dankner MD, MPH
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Correspondence to Rachel Dankner MD, MPH .

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Editors and Affiliations

  1. , Department of Medicine, Mount Sinai School of Medicine, 1 Gustave L. Levy Place, New York, 10029, USA

    Derek LeRoith

Glossary

AIR

Acute insulin response

ALT

Alanine aminotransferase

AST

Aspartate aminotransferase

BMI

Body mass index

DRS

Diabetes risk score

EHC

Euglycemic-hyperinsulinemic clamp

FPG

Fasting plasma glucose

GGT

Gamma-glutamyltranspeptidase

GL

Glycemic load

HbA1c

Glycated hemoglobin

HDL

High-density lipoprotein

IFG

Impaired fasting glucose

IGT

Impaired glucose tolerance

IL-6

Interleukin 6

LDL

Low-density lipoprotein

MCDS

Mexico City Diabetes Study

NAFLD

Nonalcoholic fatty liver disease

PAI-1

Plasminogen activator inhibitor-1

SHBG

Sex hormone binding globulin

SNPs

Single nucleotide polymorphisms

WHR

Waist-to-hip ratio

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Dankner, R., Roth, J. (2012). Predicting Diabetes. In: LeRoith, D. (eds) Prevention of Type 2 Diabetes. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-3314-9_6

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