Ashton Gatewood and Micah Hartwell are with the Office of Medical Student Research, Oklahoma State University College of Osteopathic Medicine at Cherokee Nation, Tahlequah. Amy D. Hendrix-Dicken is with the Department of Pediatrics, University of Oklahoma-Tulsa School of Community Medicine. Micah Hartwell is also with the Department of Psychiatry and Behavioral Sciences, Oklahoma State University Center for Health Sciences, Tulsa. Ashton Gatewood is an enrolled tribal member of Choctaw Nation of Oklahoma and a descendant of Chickasaw Nation. Amy D. Hendrix-Dicken is an enrolled tribal member of Cherokee Nation.
Am J Public Health. 2024 Apr;114(4):403-406. doi: 10.2105/AJPH.2023.307561. Epub 2024 Feb 22.
To identify how race and ethnicity were reclassified with survey variables for children self-reporting as American Indian/Alaska Native (AI/AN) using the 2021 Youth Risk Behavior Surveillance System (YRBSS). We conducted a cross-sectional analysis of the US Centers for Disease Control and Prevention's 2021 YRBSS. YRBSS collects behaviors and demographics of students in grades 9 through 12, including race and ethnicity via self-report, and then reclassifies data into a "raceeth" variable. To examine the classification of AI/AN in YRBSS, we compared AI/AN composition between self-report and raceeth variables. A total of 816 adolescents self-reported as AI/AN alone (145; 17.70%), AI/AN alone with Hispanic/Latino background (246; 30.15%), or AI/AN in combination with 1 or more race (425; 52.08%). Of those, only 145 were classified as being AI/AN in the calculated raceeth variable. With YRBSS survey weighting, the percentage of AI/AN in the raceeth variable was 13.4%. Misclassification, noncollection, or the use of categories such as "other" and "multirace" without allowing disaggregation can misrepresent disease burden, morbidity, and mortality. Consequently, it is critical to disaggregate data to adequately capture race/ethnicity in self-report surveys and data sources. ( 2024;114(4):403-406. https://doi.org/10.2105/AJPH.2023.307561).
为了确定使用 2021 年青少年风险行为监测系统(YRBSS)自我报告为美洲印第安人/阿拉斯加原住民(AI/AN)的儿童,调查变量如何重新分类为种族和族裔。我们对美国疾病控制与预防中心 2021 年 YRBSS 进行了横断面分析。YRBSS 收集了 9 至 12 年级学生的行为和人口统计数据,包括通过自我报告的种族和族裔,然后将数据重新分类为“raceeth”变量。为了检查 YRBSS 中 AI/AN 的分类,我们比较了自我报告和 raceeth 变量之间的 AI/AN 构成。共有 816 名青少年仅自我报告为 AI/AN(145 人;17.70%)、AI/AN 加西班牙裔/拉丁裔背景(246 人;30.15%)或 AI/AN 加 1 个或多个种族(425 人;52.08%)。在这些人中,只有 145 人被归类为计算出的 raceeth 变量中的 AI/AN。使用 YRBSS 调查加权,raceeth 变量中的 AI/AN 百分比为 13.4%。分类错误、未收集或使用“其他”和“多种族”等类别而不允许细分可能会歪曲疾病负担、发病率和死亡率。因此,在自我报告调查和数据源中细分数据以充分捕捉种族/族裔至关重要。(2024;114(4):403-406。https://doi.org/10.2105/AJPH.2023.307561)。