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How Have You Been? or ¿Como estás?: Does Language of Interview Influences Self-Rated Health Among Hispanic Subgroups?
Alexis R Santos-Lozada1, Matthew J Martinez2
1Department of Sociology and Criminology, Pennsylvania State University, 211 Oswald Tower, State College, PA, 16802, USA. ars39@psu.edu.
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.
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