ArticleJournal of racial and ethnic health disparities2023
Data Disaggregation Reveals Disproportionate Levels of COVID-19 Risk Among Filipinxs in the USA.
Article in Journal of racial and ethnic health disparities, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed.
- Modeling Poverty and Health for Native Hawaiian and Pacific Islander and Asian Ethnic Populations.Hawai'i journal of health & social welfare · 2023Article
- Racial Discrimination, Social Disadvantage, and Racial-Ethnic Disparities in COVID-19 Vaccine Uptake.AJPM focus · 2023Article
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Authors and funding
2 authors.
Funding
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Abstract
backgroundRecognizing the disproportionate rates of COVID-19 infection and death experienced by Filipinxs in the USA, this study examines whether data disaggregation reveals meaningful differences between Filipinxs, non-Asians, and other groups often aggregated into the problematic "Asian and Pacific Islander" category across a series of social and health variables associated with COVID-19 risk.
methodsUsing data from the California Health Interview Survey (CHIS, 2017-18; N = 42,330) and the National Survey on Drug Use and Health (NSDUH, 2018-19; N = 135,516), we ran chi-squared tests yielding Wald F-values to compare Filipinxs with other "Asians and Pacific islanders" and non-Asians across 10 social and 4 health-related variables. Health conditions included asthma, diabetes, heart conditions, and high blood pressure.
resultsFilipinxs were much more likely to report diabetes (CHIS: 12.6%; NSDUH: 14.4%) than other Asian/PI respondents (8.4%; 8.0%) or non-Asians (10.8%; 10.1%), as well as asthma and high blood pressure. Filipinxs were also disproportionately employed in the healthcare and service occupations (CHIS: 36.7%) in comparison to other Asian/PI respondents (19.0%) and non-Asians (22.4%). DISCUSSION: Across several variables, Filipinxs have less in common with other Asians and Pacific Islanders than with non-Asians. Combining these groups can obscure patterns that affect health and the risks of contracting or dying from COVID-19.
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