Department of Quantitative Health Sciences, John A. Burns School of Medicine, University of Hawai'i, Honolulu, HI.
Hawaii J Health Soc Welf. 2023 Oct;82(10 Suppl 1):97-103.
Many health and health disparities studies require population prevalence information of various race groups, but the estimation of single-race population sizes using the US Census data has been challenging. For each Census race group, Census only provides the counts of those reported being single race ("race alone") and those reported of that specific race regardless of whether the individuals were multiracial or not ("race alone or in (any) combination"). The issue of how to classify Census multiracial individuals is especially important for the state of Hawai'i due to its large multiracial population. The current study developed the Stepwise Proportional Weighting Algorithm (SPWA) for single-race population estimation using US Census data for major race groups in the Census and their nested detailed races. Additionally, given that "partial Native Hawaiian" has often been treated as "Native Hawaiian" in health disparities studies in Hawai'i, the algorithm can also adjust for the unique partial Native Hawaiian race categorization. This paper describes the estimation process with the SPWA and demonstrates its ability to estimate single-races for the 5 most common race groups in Hawai'i. This new methodology addresses an important concern regarding how to classify multiracial individuals to strengthen health and health disparities research in Hawai'i.
许多健康和健康差异研究都需要各种种族群体的人群流行率信息，但使用美国人口普查数据估计单一种族的人口规模一直具有挑战性。对于每个人口普查种族群体，人口普查仅提供报告为单一种族的人数（“仅种族”）和报告为特定种族的人数，无论这些人是否为多种族（“仅种族或任何组合”）。由于夏威夷的多种族人口众多，如何对人口普查中的多种族个体进行分类的问题对于夏威夷州尤为重要。本研究开发了逐步比例加权算法（SPWA），用于使用美国人口普查数据对人口普查中的主要种族群体及其嵌套的详细种族进行单一种族人口估计。此外，由于“部分夏威夷原住民”在夏威夷的健康差异研究中经常被视为“夏威夷原住民”，该算法还可以调整独特的部分夏威夷原住民种族分类。本文描述了使用 SPWA 的估计过程，并展示了其估计夏威夷 5 个最常见种族群体单一种族的能力。这种新方法解决了如何对多种族个体进行分类的重要问题，以加强夏威夷的健康和健康差异研究。
