Hardship Among Immigrants and the Native-born in the United States

Time-Trends in Food Insecurity Among US-Born and Foreign-Born Hispanic Adults by Language Use: An Analysis of National Health and Nutrition Examination Survey Data, 1999-2018

BACKGROUND

Historically, food insecurity prevalence has been higher in Hispanic households than in non-Hispanic White households. Food insecurity prevalence among Hispanic adults, US-born and foreign-born, may vary by language use.

OBJECTIVE

To explore whether or not the relationship between language use and food insecurity varied over time (1999-2018) among US-born and foreign-born Hispanic adults.

DESIGN

Trends analysis and multivariable logistic regression modeling using pooled cross-sectional data.

PARTICIPANTS AND SETTING

Fifteen thousand sixty-two Hispanic adults participating in the United States National Health and Nutrition Examination Survey (1999-2018).

MAIN OUTCOME MEASURES

Food insecurity prevalence, assessed with the US Household Food Security Survey Module.

STATISTICAL ANALYSIS

Unadjusted food insecurity trends from 1999 to 2018 by language use (mostly English, both languages equally, or mostly Spanish) among US-born and foreign-born Hispanic adults were analyzed using piecewise-linear regression of log prevalence rates. Multivariable logistic regression models adjusted for sociodemographic characteristics and with an interaction term between language use and time were used to determine if odds of food insecurity among US-born and foreign-born Hispanic adults varied by language use between 1999 and 2018.

RESULTS

Hispanic adults' food insecurity prevalence followed an upward linear trend from 1999 to 2018; this was significant for US-born mostly English-speakers (P < 0.001), US-born mostly Spanish-speakers (P = 0.013), and foreign-born mostly Spanish-speakers (P < 0.001). In fully adjusted logistic regression models, foreign-born Hispanic adults who spoke both languages equally (odds ratio 1.8, 95% CI 1.2 to 2.6) and those who spoke mostly Spanish (odds ratio 1.9, 95% CI 1.4 to 2.8) had significantly higher food insecurity odds, compared with mostly English-speakers. No variations in associations across time were observed between language use and food insecurity (interaction P value > 0.1).

CONCLUSIONS

Hispanic adults' unadjusted food insecurity trends from 1999 to 2018 varied by language use. When adjusted for sociodemographic characteristics and compared with mostly English-speakers, food insecurity odds were significantly higher only among foreign-born Hispanic adults who spoke either both languages equally or mostly Spanish. Food assistance programs should linguistically adapt their services for Hispanic adults.

Racial and ethnic disparities in the association between financial hardship and self-reported weight change during the first year of the pandemic in the U.S

Studies have shown that financial hardship can impact weight change; however, it is unclear what the economic impact of the COVID-19 pandemic has had on weight change in U.S. adults, or whether racial-ethnic groups were impacted differentially. We estimated the association between financial hardship and self-reported weight change using data from the cross-sectional COVID-19's Unequal Racial Burden (CURB) survey, a nationally representative online survey of 5,500 American Indian/Alaska Native, Asian, Black/African American, Latino (English- and Spanish-speaking), Native Hawaiian/Pacific Islander, White, and multiracial adults conducted from 12/2020 to 2/2021. Financial hardship was measured over six domains (lost income, debt, unmet general expenses, unmet healthcare expenses, housing insecurity, and food insecurity). The association between each financial hardship domain and self-reported 3-level weight change variable were estimated using multinomial logistic regression, adjusting for sociodemographic and self-reported health. After adjustment, food insecurity was strongly associated with weight loss among American Indian/Alaska Native (aOR = 2.18, 95% CI = 1.05-4.77), Black/African American (aOR = 1.77, 95% CI = 1.02-3.11), and Spanish-speaking Latino adults (aOR = 2.32, 95% CI = 1.01-5.35). Unmet healthcare expenses were also strongly associated with weight loss among Black/African American, English-speaking Latino, Spanish-speaking Latino, and Native Hawaiian/Pacific Islander adults (aORs = 2.00-2.14). Other domains were associated with weight loss and/or weight gain, but associations were not as strong and less consistent across race-ethnicity. In conclusion, food insecurity and unmet healthcare expenses during the pandemic were strongly associated with weight loss among racial-ethnic minority groups. Using multi-dimensional measures of financial hardship provides a comprehensive assessment of the effects of specific financial hardship domains on weight change among diverse racial-ethnic groups.

How Housing, Employment, and Legal Precarity Affect the Sleep of Migrant Workers: A Mixed-Methods Study

In the United States, natural disasters have increased in frequency and intensity, causing significant damage to communities, infrastructure, and human life. Migrant workers form part of a growing occupational group that rebuilds in the aftermath of natural disasters like hurricanes and tornadoes. The work these migrant workers perform is essential but also unstable, exploitative, and dangerous, which stresses their health and well-being. This study focuses on the health and well-being of migrant roofers, a precarious occupational group who restores communities and helps the U.S. population adjust to a climate-changed world. Using surveys (n = 365) and in-depth interviews (n = 58) from a convenience sample of migrant roofers, we examine how precarity in terms of employment, housing, and legal status affect the sleep outcomes of these workers, who derive their income from an industry where instability is the norm, live in substandard and irregular housing, and lack workplace protections given their legal status.

Health insurance coverage and poverty status of postpartum women in the United States in 2019: an ACS-PUMS population-based cross-sectional study

BACKGROUND

A quarter of United States (US) postpartum women still report unmet health care needs and health care unaffordability. We aimed to study associations between receipt of health insurance coverage and poverty status/receipt of government financial support and determine coverage gaps overall and by social factors among US postpartum women in poverty.

METHODS

This study design is a cross-sectional study using secondary data. We included women who gave birth within the last 12 months from 2019 American Community Survey Public Use Microdata Sample. Poverty was defined as having an income-to-poverty ratio of less than 100%. We explored Medicaid/government medical assistance gaps among women in poverty. To examine the associations between Medicaid/government medical assistance (exposures) and poverty/government financial support (outcomes), we used age-, race-, and multivariable-adjusted logistic regression models. We also evaluated the associations of state, race, citizenship status, or language other than English spoken at home (exposures) with receipt of Medicaid/government medical assistance (outcomes) among women in poverty through multivariable-adjusted logistic regression.

RESULTS

It was notable that 35.6% of US postpartum women in poverty did not have Medicaid/government medical assistance and only a small proportion received public assistance income (9.8%)/supplementary security income (3.1%). Women with Medicaid/government medical assistance, compared with those without the coverage, had statistically significantly higher odds of poverty [adjusted odds ratio (aOR): 3.15, 95% confidence interval (95% CI): 2.85-3.48], having public assistance income (aOR: 24.52 [95% CI: 17.31-34.73]), or having supplementary security income (aOR: 4.22 [95% CI: 2.81-6.36]). Also, among postpartum women in poverty, women in states that had not expanded Medicaid, those of Asian or other race, non-US citizens, and those speaking another language had statistically significantly higher odds of not receiving Medicaid/government medical assistance [aORs (95% CIs): 2.93 (2.55-3.37); 1.30 (1.04-1.63); 3.65 (3.05-4.38); and 2.08 (1.86-2.32), respectively].

CONCLUSIONS

Our results showed that the receipt of Medicaid/government medical assistance is significantly associated with poverty and having government financial support. However, postpartum women in poverty still had Medicaid/government medical assistance gaps, especially those who lived in states that had not expanded Medicaid, those of Asian or other races, non-US citizens, and other language speakers.

The Prevalence of Hardship by Race and Ethnicity in the USA, 1992-2019

Racial and ethnic inequality continues to be the subject of considerable public interest. We shed light on this issue by examining racial disparities in the prevalence of several types of hardship, such as trouble paying bills and housing problems, in the USA over the 1992-2019 period. Using data from several panels of the Survey of Income and Program Participation, we find that hardships were considerably higher-sometimes double, depending on the measure-among blacks and Hispanics than whites and Asians. Nevertheless, these disparities generally narrowed over time. We find that the decline in these disparities-as indicated by a summary hardship index-exceeded that of the official income poverty ratio. We also find that while Asians were more likely to be poor than whites, they were not more likely to experience hardship. Notably, we also see variation in the experiences of different types of hardship. Specifically, there was little decline in the racial disparity of two of the hardships that tend to be responsive to short-term fluctuations in income-bill-paying and health hardship, as well as fear of crime-but substantial declines in disparities with most other measures. Overall, our findings indicate significant racial differences in the experience of hardship, though with a narrowing of many gaps over time.