夏威夷原住民、太平洋岛民和亚裔人口的贫困与健康建模。

Q4 Medicine Hawai''i journal of health & social welfare Pub Date : 2023-10-01
James Davis, Deborah A Taira, Eunjung Lim, John Chen
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引用次数: 0

摘要

这项研究调查了夏威夷原住民和太平洋岛民(NHPI)以及6个分类的亚裔亚组和一个汇总的其他亚裔类别在贫困和健康方面的差异。使用人口普查局进行的月度调查“当前人口调查”中2009年至2019年的数据,对参与者进行了为期2年的纵向跟踪调查。通过2年的数据,该研究仅在这2年中的1年和这两年中评估了贫困和公平/不良健康的患病率。在NHPI中,13.5%的人在过去两年中处于贫困状态,7.1%的人同时处于贫困状态。亚洲种族的变异性很高,从亚洲印度人的6.4%(1年)和1.9%(2年)到越南人的16.0%和6.3%(2年。健康状况尚可/较差也表现出种族变异性,在回归模型中进行年龄性别调整后最为明显。在贫困方面,经过调整后,亚裔印度人、菲律宾人和日本人至少1年贫困的几率明显低于非裔美国人。在年龄/性别调整后,亚洲印度人和日本人的健康状况尚可/较差的几率在1年和2年内均低于NHPI,在1年内低于菲律宾人。研究结果强调了亚洲和太平洋岛民人口的多样性、贫困随时间的变化以及使用分类数据了解贫困和健康方面种族差异的重要性。这些发现可用于为未来NHPI和亚洲亚组贫困和健康的社会决定因素建模提供信息。
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Modeling Poverty and Health for Native Hawaiian and Pacific Islander and Asian Ethnic Populations.

This study examined differences in poverty and health among Native Hawaiians and Pacific Islanders (NHPI) and 6 disaggregated Asian ethnic subgroups and an aggregated Other Asian category. Participants were followed longitudinally for 2 years using data from 2009 to 2019 from the Current Population Survey, a monthly survey conducted by the Census Bureau. Having 2 years of data enabled the study to assess both prevalence of poverty and fair/poor health in only 1 of the 2 years and in both years. For NHPI, 13.5% were in poverty 1of the 2 years and 7.1% in both years. Asian ethnicities showed high variability ranging from a low of 6.4% for 1 year and 1.9% for 2 years among Asian Indians to 16.0% for 1 year and 6.3% for 2 years among Vietnamese. Fair/poor health also showed ethnic variability, made most apparent after age-sex adjustment in regression models. For poverty, after adjustment, Asian Indians, Filipinos and Japanese had significantly lower odds of being in poverty at least 1 year than NHPI. For having fair/poor health, Asian Indians and Japanese experienced lower odds than NHPI for both 1 and 2 years and Filipinos for 1 year, after age/sex adjustment. The results emphasize the diversity of Asian and Pacific Islander populations, the variability of poverty over time, and the importance of using disaggregated data to understand ethnic differences in poverty and health. These findings can be used to inform future modeling of social determinants on poverty and health among NHPI and Asian subgroups.

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