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

Supporting Files
File Language:
English


Details

  • Alternative Title:
    J Health Care Poor Underserved
  • Personal Author:
  • 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.

  • Subjects:
  • Keywords:
  • Source:
    J Health Care Poor Underserved. 33(3):1245-1257
  • Pubmed ID:
    36245161
  • Pubmed Central ID:
    PMC11354194
  • Document Type:
  • Funding:
  • Volume:
    33
  • Issue:
    3
  • Collection(s):
  • Main Document Checksum:
    urn:sha-512:f28220625e74be23fe65493a2be99932baea0258d155b061a65f2cd017e7b7cbbb051fc77c578e3534c705b8910bfc2f4c02c0fe0c6c164ee52380dab5e27fed
  • Download URL:
  • File Type:
    Filetype[PDF - 222.13 KB ]
File Language:
English
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