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Implications for Coding Race and Ethnicity for American Indian and Alaska Native High School Students in a National Survey
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2022
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Source: J Health Care Poor Underserved. 33(3):1245-1257
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Details:
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Alternative Title:J Health Care Poor Underserved
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Personal Author:
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Description:Objectives.
To examine the impact of racial/ethnic coding strategies on the estimated prevalence of risk behaviors among American Indian/Alaska Native (AI/AN) high school students.
Methods.
Data from the national Youth Risk Behavior Survey (2017 and 2019) were analyzed (N=28,422). Racial/ethnic data were coded to identify “Multiracial/ethnic AI/AN students” and “AI/AN alone students.” The prevalence of persistent feelings of sadness or hopelessness, suicidality, and violence victimization were compared across the coding schemes and with non-Hispanic White students.
Results.
Of students who self-identified as AI/AN, one in six (18%) were AI/AN alone. The prevalence of many health risk behaviors was significantly higher among AI/AN students than non-Hispanic/Latino White students. The precision of the risk behavior prevalence estimates, however, varied considerably.
Conclusion.
How racial/ethnic data were coded affected the precision of calculations of risk behavior prevalence among AI/AN students, who are often multiracial and of Hispanic/Latino ethnicity.
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Pubmed ID:36245161
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Pubmed Central ID:PMC11354194
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Volume:33
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Issue:3
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