Increased COVID-19 mortality among immigrants compared with US-born individuals: a cross-sectional analysis of 2020 mortality data.

OBJECTIVE: Multiple studies have shown that racially minoritized groups had disproportionate COVID-19 mortality relative to non-Hispanic White individuals. However, there is little known regarding mortality by immigrant status nationally in the United States, despite being another vulnerable population. STUDY DESIGN: This was an observational cross-sectional study using mortality vital statistics system data to calculate proportionate mortality ratios (PMRs) and mortality rates due to COVID-19 as the underlying cause. METHODS: Rates were compared by decedents' identified race, ethnicity (Hispanic vs non-Hispanic), and immigrant (immigrants vs US born) status. Asian race was further disaggregated into "Asian Indian," "Chinese," "Filipino," "Japanese," "Korean," and "Vietnamese." RESULTS: Of the over 3.4 million people who died in 2020, 10.4% of all deaths were attributed to COVID-19 as the underlying cause (n = 351,530). More than double (18.9%, n = 81,815) the percentage of immigrants who died of COVID-19 compared with US-born decedents (9.1%, n = 269,715). PMRs due to COVID-19 were higher among immigrants compared with US-born individuals for non-Hispanic White, non-Hispanic Black, Hispanic, and most disaggregated Asian groups. Among disaggregated Asian immigrants, age- and sex-adjusted PMR due to COVID-19 ranged from 1.58 times greater mortality among Filipino immigrants (95% confidence interval [CI]: 1.53, 1.64) to 0.77 times greater mortality among Japanese immigrants (95% CI: 0.68, 0.86). Age-adjusted mortality rates were also higher among immigrant individuals compared with US-born people. CONCLUSIONS: Immigrant individuals experienced greater mortality due to COVID-19 compared with their US-born counterparts. As COVID-19 becomes more endemic, greater clinical and public health efforts are needed to reduce disparities in mortality among immigrants compared with their US-born counterparts.

Disparities in unmet needed paid leave across race, ethnicity and citizenship status among employed Californians: a cross-sectional study.

OBJECTIVES: Paid leave is essential for public health in order to prevent presenteeism (i.e., working while sick), provide an economic safety net for workers when ill, and promote family well-being through parental leave. While racial and ethnic disparities in unmet paid leave (or needing but not being able to take paid leave) are well documented, little evidence of the intersecting role of citizenship status exists. This study examined disparities in unmet paid leave across race, ethnicity and citizenship status. STUDY DESIGN: This was a cross-sectional study of employed adults in California, USA. METHODS: Weighted, multivariable logistic regressions were used to assess disparities in unmet needed paid leave across race, ethnicity and citizenship status categories, including non-citizen, naturalised, and citizen Latinx and Asian respondents, and naturalised and non-citizen White respondents, relative to US-born White respondents, controlling for demographic, familial, health-related and work-related covariates. This study examined a representative sample of Californian adults using the 2021 California Health Interview Survey (CHIS). A total of 24,453 people completed the CHIS from March to October 2021. This analysis was restricted to individuals who had complete data, were employed at the time of the survey and were part of the study race and ethnic groups of interest, leading to an analytical sample of 12,485 respondents. RESULTS: While 16.9% of employed Californians reported forgoing needed paid leave, disparities across race, ethnicity and citizenship status were evident. Specifically, 31.8% of non-citizen Latinx respondents, compared to 11% of US-born White respondents, did not use paid leave when they needed it due to fear of job loss, fear of negative impacts on job advancement, employers denying it, lack of information or knowledge regarding the process or ineligibility. In the fully adjusted analyses, respondents identifying as non-citizen Latinx (adjusted odds ratio [aOR] = 2.57, 95% confidence interval [CI] = 1.94-3.40), naturalised Latinx (aOR = 1.90, 95% CI = 1.46-2.48), US-born Latinx (OR = 1.30, 95% CI = 1.06-1.60), non-citizen Asian (aOR = 2.34, 95% CI = 1.69-3.23) and naturalised Asian (aOR = 1.78, 95% CI = 1.35-2.34) had a statistically significantly higher likelihood of experiencing unmet needed paid leave compared to US-born White respondents. CONCLUSIONS: Despite its importance for health, disparities across race, ethnicity and citizenship status exist in those who experience unmet paid leave. It is recommended that the administrative and enforcement agencies in California further communicate eligibility, facilitate the application process and enforce equitable access to paid leave for all workers.