Bivariate analyses showed dramatic differences in the social and economic characteristics of immigrant children by global region of birth (see ). For every demographic, economic, and social characteristic examined, the distributions differed significantly by region of child's birth, with the exception of sex. Most striking are the differences in social characteristics defined by parent socioeconomic indicators. For example, 60% of children born in the Mexico/Central America region live in families where no parent has a high school education. Conversely, children born in Asia or the Indian Subcontinent regions tend to have at least one college-educated parent (62% and 74%, respectively). Moreover, while 25% of all children in immigrant families live below poverty, 48% of children born in Mexico/Central America, 45% of children born in the Middle East, and 35% of children born in Africa live below poverty.
| Table 1CHARACTERISTICS OF CHILDREN IN IMMIGRANT FAMILIES IN THE U.S. BY GLOBAL REGION OF BIRTH, NHIS DATA 2000–2006 |
Using multivariate logistic regression, we evaluated the effects of social and economic characteristics on the odds of health insurance coverage and access to care for immigrant children. shows the odds of being uninsured for children of immigrant families by global region of birth. In the unadjusted model, children born in Mexico, South America, the Indian subcontinent, and Asia have significantly higher odds of being uninsured than U.S.-born children of immigrant families. After adjusting for demographic characteristics of the child and social characteristics of the family, the significant results remain. Compared with U.S.-born children of immigrant families, children born in Mexico/Central America have 3.5 times higher odds (95% CI 5 3.1–3.9), children born in South America and Asia have 2.6 times higher odds (95% CI 5 2.0–3.3 and 1.7–3.8, respectively), and children born in India have twice the odds (95% CI 1.3–3.2) of being uninsured.
| Table 2ODDS oF UnInSURAnCE AMONG CHIlDREN OF IMMIGRANT FAMILIES IN THE U.S. |
In addition to region of birth, other significant predictors of uninsurance include age of the child, Hispanic ethnicity, time in the U.S., and family social characteristics. Not surprisingly, children living in the U.S. less than five years have 1.8 times higher odds of uninsurance than those living in the U.S. longer than five years. Parental education also had a strong relationship with child uninsurance. Immigrant children whose highest parent education was less than high school have 2.4 times higher odds of uninsurance than immigrant children who had at least one college-educated parent. Children whose families lived below poverty had significantly higher odds of uninsurance than those whose families lived at or above 200% of the poverty level. Interestingly, children with one or both parents employed had higher odds of uninsurance than children who had no employed parents.
shows the odds of delayed care and the odds of foregone care due to cost for children of immigrant families by global region of birth. In the unadjusted model for delayed care, children born in Mexico/Central America, South America, or Russia had significantly higher odds of reporting that they delayed care due to cost in the past 12 months than immigrant children born in the U.S. After adjusting for demographic characteristics of the child and social characteristics of the family, the results for Russia were attenuated. However, significantly higher odds of delayed care for children born in Mexico/Central America (OR = 1.9, 95% CI = 1.6–2.4) and South America (OR = 2.4, 95% CI = 1.6–3.4) compared with U.S.-born children in immigrant families remained (full results not shown). However, after adjusting for uninsurance, children born in Mexico/Central America were no longer significantly different. In the fully adjusted model, other significant predictors of delayed health care include family poverty. The strongest predictor of delayed care was uninsurance with uninsured immigrant children having 6.5 times higher odds of delayed care than insured immigrant children (95% CI = 5.5–7.7).
| Table 3ODDS OF DELAYED OR FOREGONE CARE DUE TO COST AMONG CHILDREN OF IMMIGRANT FAMILIES IN THE U.S. |
The models for foregone care show a pattern strikingly similar to the one for delayed care. In the unadjusted model, compared with U.S.-born children of immigrant families, children born in Mexico/Central America or South America had nearly three times the odds of foregone care in the past year (95% CI = 2.3–3.4 and 2.0–4.1, respectively). Even after adjustment for demographic characteristics of the child and social characteristics of the family, significantly higher odds of foregone care remained for children born in Mexico/Central America (OR = 1.9, 95% CI = 1.5–2.3) and South America (OR = 2.4, 95% CI = 1.6–3.6) compared with U.S.-born children in immigrant families (full results not shown). After further adjusting for health insurance status, children born in Mexico/Central America were no longer at increased odds for foregone care. Again, the strongest predictor of foregone care in the past 12 months was uninsurance status.
Limitations
The study findings should be considered in light of potential limitations. First, the NHIS is conducted primarily in English or Spanish, making it quite possible that immigrant families who do not speak English or Spanish were underrepresented in the NHIS sample we analyzed. Limited English Proficiency (LEP) has been linked to difficulties obtaining health insurance coverage and access to health care in previous studies.
22–23 It is possible that we underestimated the levels of uninsurance, delayed care, and foregone care by systematically excluding those who were not able to complete the survey in English or Spanish.
Second, the region of birth categories used in our analyses are broadly defined. The NHIS does not release detailed country of origin, so we were limited to the regions defined in the NHIS data. The regional groupings are based on geographic proximity to one another and do not take into account economic, political, or social context of the grouped countries. The use of these aggregated region categories may be masking important differences in uninsurance and access to care by specific country of origin within each global region.
Third, we don't have information about which state each person is from. Eight states, including California, chose to use state funds to cover all legal immigrants within their first five years after PRWORA was enacted. A total of 20 states chose to cover some legal immigrants in the first five years—many of these states chose to cover children. State information could be an important predictor of insurance coverage.