Journal
JOURNAL OF RACIAL AND ETHNIC HEALTH DISPARITIES
Volume 4, Issue 3, Pages 455-461Publisher
SPRINGER INTERNATIONAL PUBLISHING AG
DOI: 10.1007/s40615-016-0246-8
Keywords
Allostatic load score; Stress; Biomarkers; Blood pressure; A1C; C-reactive protein
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Funding
- intramural program of the National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health
- intramural program of the National Institute of Minority Health and Health Disparities
- Intramural Research Program of the National Institutes of Health
- [99-DK-0002]
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After decades of resistance, there is now a genuine consensus that disease cannot be prevented or even successfully treated unless the role of stress is addressed alongside traditionally recognized factors such as genes and the environment. Measurement of allostatic load, which is quantified by the allostatic load score (ALS), is one of the most frequently used methods to assess the physiologic response to stress. Even though there is universal agreement that in the calculation of ALS, biomarkers from three categories should be included (cardiovascular, metabolic and immune), enormous variation exists in how ALS is calculated. Specifically, there is no consensus on which biomarkers to include or the method which should be used to determine whether the value of a biomarker represents high risk. In this perspective, we outline the approach taken in 21 different NHANES studies.
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