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Using Allostatic Load to Validate Self-rated Health for Racial/Ethnic Groups in the United States.

Alexis R Santos-LozadaJeffrey T Howard
Published in: Biodemography and social biology (2019)
This study evaluates the validity of subjective health measurement for racial/ethnic comparisons in the United States, by assessing whether allostatic load (AL) is equally associated with poor/fair self-rated health (SRH) for different racial/ethnic groups. This study used data from the National Health and Nutrition Survey (NHANES) for 2006-2010. Multivariable logistic regression models were fit and stratified by race/ethnicity to study the association between AL and poor/fair SRH. Higher levels of AL were associated with higher odds of reporting poor/fair SRH. However, this association differs by race/ethnicity. Analysis of interactions and racial/ethnic-stratified models suggest that AL is less associated with poor/fair SRH status for non-Hispanic Blacks and Hispanics populations. These results demonstrate that subjective health ratings potentially underestimate actual measures of biological health risk, especially for racial/ethnic minorities. As a result, population-based assessments of racial/ethnic health disparities based on SRH may be significantly understated.
Keyphrases
  • healthcare
  • public health
  • mental health
  • health information
  • physical activity
  • emergency department
  • machine learning
  • depressive symptoms
  • drinking water
  • big data
  • climate change