ArticleJournal of health care for the poor and underserved2022
Implications for Coding Race and Ethnicity for American Indian and Alaska Native High School Students in a National Survey.
Article in Journal of health care for the poor and underserved, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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Who cites it
6 citing papers in PubMed, 8 citations in OpenAlex.
- Long-term impact of the Fostering Healthy Futures for Preteens program on suicide-related thoughts and behaviors for youth in out-of-home care: A randomized controlled trial.American journal of community psychology · 2024Trial
- Intimate Partner Violence-Related Homicides of Hispanic and Latino Persons - National Violent Death Reporting System, United States, 2003-2021.Morbidity and mortality weekly report. Surveillance summaries (Washington, D.C. : 2002) · 2024Article
- Article
- Racial and Ethnic Disaggregation of Tuberculosis Incidence and Risk Factors Among American Indian and Alaska Native Persons-United States, 2001-2020.American journal of public health · 2024Article
- Exploring Monoracial/Ethnic and Multiracial/Ethnic Classification in the Context of Mental Health Among High School Students.Journal of health care for the poor and underserved · 2024Article
- Centering Data Sovereignty, Tribal Values, and Practices for Equity in American Indian and Alaska Native Public Health Systems.Public health reports (Washington, D.C. : 1974)Article
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
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.
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.
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.
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.
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