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Using the Race Model Inequality to Quantify Behavioral Multisensory Integration Effects
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Disparities in Allostatic Load Among Different Races: A Comprehensive Scoping Review.

Olanike Gloria Olowokere1, Olutola Esther Olasehinde1, Titilayo Ifeoluwa Bisi-Adeniyi1

  • 1Department of Biochemistry and Cancer Genomics Laboratory, Covenant University, Ogun State, Ota, Nigeria.

Journal of Racial and Ethnic Health Disparities
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Summary

Racial disparities in allostatic load, a measure of cumulative stress, are evident. Factors like socioeconomic status, discrimination, and genetics contribute to these health differences across racial groups.

Keywords:
Allostatic loadBiomarkersDisparities

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Area of Science:

  • Health disparities research
  • Biomarker analysis
  • Stress physiology

Background:

  • Allostatic load quantifies cumulative stress and varies significantly across populations.
  • Understanding racial differences in allostatic load is crucial for addressing health inequities.
  • This review examines racial disparities in allostatic load and their underlying mechanisms.

Purpose of the Study:

  • To investigate disparities in allostatic load across racial groups.
  • To explore the mechanisms driving these disparities.
  • To synthesize current research on allostatic load measurement and its determinants.

Main Methods:

  • A systematic literature search identified 296 relevant studies.
  • Studies included diverse populations, examining biomarkers from cardiovascular, metabolic, neuroendocrine, and immune systems.
  • Data on age, gender, socioeconomic status (SES), and stress exposure were considered.

Main Results:

  • Significant disparities in allostatic load biomarkers were observed across racial groups.
  • Commonly measured biomarkers include blood pressure, cholesterol, HbA1c, BMI, C-reactive protein, and IL-6.
  • Socioeconomic status, age, racial discrimination, and stressful life events are associated with allostatic load.

Conclusions:

  • Existing studies show variability in allostatic load due to differences in biomarker selection and methodology.
  • Social determinants of health, discrimination, genetics, and age play critical roles in allostatic load disparities.
  • Further research is needed to standardize measurement and elucidate causal pathways.