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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Published in | Journal of health care for the poor and underserved Vol. 33; no. 3; pp. 1245 - 1257 |
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Main Authors | , |
Format | Journal Article |
Language | English |
Published |
United States
Johns Hopkins University Press
01.08.2022
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Subjects | |
Online Access | Get full text |
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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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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
ISSN: | 1049-2089 1548-6869 1548-6869 |
DOI: | 10.1353/hpu.2022.0110 |