Abstract
This paper reports language differences in poor/fair self-rated health (SRH) among adults from six Hispanic groups in the United States. Data are from the cross-sectional 1997–2013 National Health Interview Survey (NHIS). The total sample of Hispanic adults with valid information for the variables considered in the study (n = 156,374) included Mexican-Americans (Mex-Am; n = 43,628), Mexicans (n = 55,057), Puerto Ricans (n = 14,631), Cubans (n = 8,041), Dominicans (from Dominican Republican, n = 4,359) and Other Hispanics (n = 30,658). We compared percentage of the population that reported poor/fair SRH among Hispanic individuals by language of interview and across origins using bivariate tests of association. Multivariable logistic regression analysis was used to study the odds of reporting poor/fair SRH based on language among the overall population and each group. Among the six Hispanic origins Puerto Ricans (15.92%), Cubans (16.36%) and Dominicans (15.32%) reported poor/fair SRH at higher levels than the overall sample (12.32%). In the logistic regression model adjusting potential covariates, those interviewed in Spanish were at higher odds of reporting poor/fair SRH than those interviewed in English (OR = 1.47, p < 0.0001). In the stratified analysis, Mexican–Americans were the only group where language of interview did not affect the odds of reporting poor/fair SRH. There are differences by Hispanic origin for reporting poor/fair SRH, and also by language of interview. Achieving accurate measurement of health status among Hispanics is a concern for all researchers, in particular those who study differences in health status by race/ethnicity in the United States. Future, research should account for Hispanic background and language of interviews.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 766-775 |
| Number of pages | 10 |
| Journal | Journal of Immigrant and Minority Health |
| Volume | 20 |
| Issue number | 4 |
| DOIs | |
| State | Published - Aug 1 2018 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
All Science Journal Classification (ASJC) codes
- Epidemiology
- Public Health, Environmental and Occupational Health
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