alexa Prediction of homeostasis model assessment of insulin resistance in Japanese subjects.
Diabetes & Endocrinology

Diabetes & Endocrinology

Journal of Diabetes & Metabolism

Author(s): Negami M, Takahashi E, Otsuka H, Moriyama K

Abstract Share this page

Abstract OBJECTIVE: In our previous study, multivariate analysis showed that body mass index (BMI), triglycerides (TG) levels, and systolic blood pressure (SBP), in addition to fasting plasma glucose (FPG) levels, significantly correlated with homeostasis model assessment of insulin resistance (HOMA-IR). Our aim was to develop a predictive tool for HOMA-IR using tests of the specific health examinations. METHODS: We enrolled 7,248 Japanese adults (3,793 men, and 3,455 women) in this cross-sectional study. A multiple regression model for predicting HOMA-IR was created using laboratory tests and lifestyle habits in the specific health examination. RESULTS: HOMA-IR prediction index was developed using routinely measured parameters (BMI; levels of FPG, TG, and high-density lipoprotein cholesterol; BP; exercise; and physical activity), and did not require measurement of immunoreactive insulin levels. The prediction accuracy of the model was considered good, as indicated by R2 values (men, 0.465; women, 0.405). CONCLUSION: The predictive tool for HOMA-IR using specific health examination tests allows healthcare professionals to estimate an individual's overall risk of metabolic syndrome (MetS). We propose that this tool can be used as an aid in health guidance for MetS.
This article was published in Tokai J Exp Clin Med and referenced in Journal of Diabetes & Metabolism

Relevant Expert PPTs

Relevant Speaker PPTs

Relevant Topics

Peer Reviewed Journals
 
Make the best use of Scientific Research and information from our 700 + peer reviewed, Open Access Journals
International Conferences 2017-18
 
Meet Inspiring Speakers and Experts at our 3000+ Global Annual Meetings

Contact Us

Agri, Food, Aqua and Veterinary Science Journals

Dr. Krish

[email protected]

1-702-714-7001 Extn: 9040

Clinical and Biochemistry Journals

Datta A

[email protected]

1-702-714-7001Extn: 9037

Business & Management Journals

Ronald

[email protected]

1-702-714-7001Extn: 9042

Chemical Engineering and Chemistry Journals

Gabriel Shaw

[email protected]

1-702-714-7001 Extn: 9040

Earth & Environmental Sciences

Katie Wilson

[email protected]

1-702-714-7001Extn: 9042

Engineering Journals

James Franklin

[email protected]

1-702-714-7001Extn: 9042

General Science and Health care Journals

Andrea Jason

[email protected]

1-702-714-7001Extn: 9043

Genetics and Molecular Biology Journals

Anna Melissa

[email protected]

1-702-714-7001 Extn: 9006

Immunology & Microbiology Journals

David Gorantl

[email protected]

1-702-714-7001Extn: 9014

Informatics Journals

Stephanie Skinner

[email protected]

1-702-714-7001Extn: 9039

Material Sciences Journals

Rachle Green

[email protected]

1-702-714-7001Extn: 9039

Mathematics and Physics Journals

Jim Willison

[email protected]

1-702-714-7001 Extn: 9042

Medical Journals

Nimmi Anna

[email protected]

1-702-714-7001 Extn: 9038

Neuroscience & Psychology Journals

Nathan T

neuro_psyc[email protected]

1-702-714-7001Extn: 9041

Pharmaceutical Sciences Journals

John Behannon

[email protected]

1-702-714-7001Extn: 9007

Social & Political Science Journals

Steve Harry

[email protected]

1-702-714-7001 Extn: 9042

 
© 2008-2017 OMICS International - Open Access Publisher. Best viewed in Mozilla Firefox | Google Chrome | Above IE 7.0 version
adwords