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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Abstract | 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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AbstractList | 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 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. 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. 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. 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.OBJECTIVESTo 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.METHODSData 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.RESULTSOf 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.CONCLUSIONHow 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. |
Author | Jones, Sherry Everett Satter, Delight E |
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Snippet | 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... Objectives. To examine the impact of racial/ethnic coding strategies on the estimated prevalence of risk behaviors among American Indian/Alaska Native (AI/AN)... |
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SubjectTerms | Adolescent Adolescents Alaska Natives American Indians Bullying Coding Ethnicity Health disparities Health risks Hispanic Americans Humans Indians, North American Indigenous peoples Minority & ethnic groups Missing data Native North Americans Polls & surveys Race Racial Groups Response rates Risk taking Secondary school students Secondary schools Students Suicidal behavior Suicides & suicide attempts Surveillance Surveys United States - epidemiology Victimization Victims of crime Violence White people |
Title | Implications for Coding Race and Ethnicity for American Indian and Alaska Native High School Students in a National Survey |
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