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Chronic Disease and Aging-Related Risk Factors in Multiracial Subgroups: California, 2014-2023.

Tracy Lam-Hine1, Michelle C Odden2, Aliya Saperstein3,4

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Summary
This summary is machine-generated.

Health outcomes for multiracial adults vary significantly across subgroups, with some facing higher chronic disease burdens. Disaggregating data is crucial for targeted public health prevention and support.

Keywords:
AgingChronic diseaseDisaggregationEthnicityMultiracialPreventionRace

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Area of Science:

  • Public Health
  • Health Disparities
  • Epidemiology

Background:

  • Multiracial adults are an increasing U.S. demographic often overlooked in health research.
  • Current research practices aggregate multiracial individuals, obscuring critical subgroup variations.
  • This aggregation limits targeted prevention strategies for diverse multiracial populations.

Purpose of the Study:

  • To estimate the prevalence of chronic disease and aging-related risk factors across disaggregated multiracial subgroups.
  • To highlight health outcome variations within the multiracial population.
  • To inform public health surveillance and prevention efforts.

Main Methods:

  • Analysis of California Behavioral Risk Factor Surveillance System data (2014-2023, n=100,177).
  • Estimation of 28 chronic disease and aging-related risk factors, disaggregated by multiracial subgroups.
  • Standardization of prevalence estimates by age and sex using 2020 California population data.

Main Results:

  • Multiracial subgroups exhibited the highest prevalence for 24 out of 28 studied health outcomes.
  • Prevalence differences exceeded 20 percentage points across multiracial subgroups for nearly half of the outcomes.
  • American Indian/Alaska Native-Black and Hispanic-Black-White adults reported the greatest burden of chronic disease, poor health, and disability.

Conclusions:

  • Health outcomes for multiracial adults lack a uniform hierarchy, varying significantly by subgroup and health domain.
  • Current data aggregation practices mask substantial health disparities within the multiracial population.
  • Enhanced surveillance systems capable of collecting disaggregated race/ethnicity data are essential for effective prevention.