Implications for Coding Race and Ethnicity for American Indian and Alaska Native High School Students in a National Survey

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. Data from the national Youth Risk Behavior Survey (2017 and 2019) were analyzed (N=28,422). Racial/ethnic data were coded to identi...

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Bibliographic Details
Published inJournal of health care for the poor and underserved Vol. 33; no. 3; pp. 1245 - 1257
Main Authors Jones, Sherry Everett, Satter, Delight E
Format Journal Article
LanguageEnglish
Published United States Johns Hopkins University Press 01.08.2022
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Summary: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. 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. Of students who selfidentified 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. 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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ISSN:1049-2089
1548-6869
1548-6869
DOI:10.1353/hpu.2022.0110