Springer Science and Business Media LLC

An empirical measure of East Asian ethnic identity was developed and evaluated. One hundred and fifty nonclinical East Asian immigrants (75 males and 75 females) were administered the East Asian Ethnic Identity Scale (EAEIS) and a psychometrically established measure of self-construal. Satisfactory reliability is reported for the overall EAEIS as well as its three factor analytically derived scales, including family values, ethnic pride (language, sense of belonging), and interpersonal distance. While EAEIS and independent self-construal were not associated, individuals who endorsed EAEIS were more likely to report an interdependent self-construal. The findings suggest that the EAEIS may be a useful tool for researchers and clinicians to investigate potentially important themes and individual differences in the experiences of East Asian immigrants.

Smokeless tobacco and areca nut usage are integral cultural traditions in South Asia. Paan and gutka are two commonly used products which contain these ingredients. They are immensely popular in South Asia and with South Asian immigrants. Regular paan and gutka use is associated with several deleterious health consequences, most significantly oral cancer. Of particular concern is the markedly increased risk of oral cancer in South Asian immigrants when compared with the natives in new areas of settlement. The South Asian community in the United States is large and rapidly growing. Paan and gutka are legal in the United States, and readily available in ethnic enclaves. Smokeless tobacco prevention and cessation research and interventions have not yet addressed the unique sociocultural circumstances of this growing, at-risk community. The medical, dental, and public health communities need to join forces to combat this emerging threat.

The last two decades have been marked by substantial immigration to the United States. As a result of this movement, the foreign-born population is growing rapidly. Previous studies have shown that the foreign-born population is much more likely than the native-born one to be without health insurance. The present analysis focuses on factors that distinguish the insured from the uninsured, utilizing nativity status (foreign born versus native born) as one of the independent variables in a set of logistic regression models. Results show that even after controlling for income, employment status, and other variables known to be associated with health insurance status, the foreign born are twice as likely to be without health insurance than are their native-born counterparts. Among the foreign born, recency of arrival emerges as an important factor in distinguishing the insured from the uninsured. Public policies intended to address the problem of health insurance in the foreign-born population must go beyond being based only on economic considerations and take into account factors such as cultural background and health-related attitudes to be effective.

We inform a county’s efforts to provide health insurance to uninsured working immigrants—a group left out of national and state strategies that aim to expand coverage. We analyzed a population-based survey data administered in English, Spanish, Cantonese, Mandarin, Korean, Vietnamese, and Dari on 5,540 nonelderly adult workers in Alameda County, California. The study models the likelihood of employment-based coverage, estimates the eligibility for public programs, and evaluates the affordability of average employee share of premiums by citizenship status and years lived in the United States (tenure). Immigrant workers in Alameda County are disproportionately uninsured. They constitute 29% of the employee labor force but 54% of uninsured employees. Employment-based coverage increased with citizenship and length of stay (tenure) in the United States. Noncitizens with less than 5 years residency in the United States faced the greatest disadvantage in securing employment-based coverage, an effect that is greater than disadvantages associated with race/ethnicity. A citizenship-tenure divide existed in obtaining employment-based coverage, suggesting that policies focusing on noncitizen and new immigrant workers would greatly relieve the disparate uninsured rates among workers. The expansion of nonemployment-based coverage programs would cover more than 30% of Alameda County’s uninsured immigrant workers; but subsidies will also be needed for the lowest-income workers who are not eligible for these programs.