@article{ref1,
title="Implications for coding race and ethnicity for American Indian and Alaska Native high school students in a national survey",
journal="Journal of health care for the poor and underserved",
year="2022",
author="Jones, Sherry Everett and Satter, Delight E.",
volume="33",
number="3",
pages="1245-1257",
abstract="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. <br><br>METHODS: Data from the national Youth Risk Behavior Survey (2017 and 2019) were analyzed (N=28,422). Racial/ethnic data were coded to identify &quot;Multiracial/ethnic AI/AN students&quot; and &quot;AI/AN alone students.&quot; 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. <br><br>RESULTS: 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. <br><br>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.<p /> <p>Language: en</p>",
language="en",
issn="1049-2089",
doi="10.1353/hpu.2022.0110",
url="http://dx.doi.org/10.1353/hpu.2022.0110"
}