title: The promise of mixed-methods for advancing latino health research.
abstract: Mixed-methods research in the social sciences has been conducted for quite some time. More recently, mixed-methods have become popular in health research, with the National Institutes of Health leading the impetus to fund studies that implement such an approach. The public health issues facing us today are great and they range from policy and other macro-level issues, to systems level problems to individuals' health behaviors. For Latinos, who are projected to become the largest minority group bearing a great deal of the burden of social inequality in the U.S., it is important to understand the deeply-rooted nature of these health disparities in order to close the gap in health outcomes. Mixed-methodology thus holds promise for advancing research on Latino heath by tackling health disparities from a variety of standpoints and approaches. The aim of this manuscript is to provide two examples of mixed methods research, each of which addresses a health topic of considerable importance to older Latinos and their families. These two examples will illustrate a) the complementary use of qualitative and quantitative methods to advance health of older Latinos in an area that is important from a public health perspective, and b) the "translation" of findings from observational studies (informed by social science and medicine) to the development and testing of interventions.
authors.affiliation: Betty Irene Moore School of Nursing, University of California, Davis, 4610 X Street, 4202L, Sacramento, CA, 95817, USA, ester.apesoa-varano@ucdmc.ucdavis.edu.
authors.forename: Ester Carolina
authors.initials: EC
authors.lastname: Apesoa-Varano
authors.forename: Ladson
authors.initials: L
authors.lastname: Hinton
mesh_terms: D003627:Data Interpretation, Statistical; D003704:Dementia; D003863:Depression; D005260:Female; D006304:Health Status; D006306:Health Surveys; D006630:Hispanic or Latino / Q000706:statistics & numerical data; D006801:Humans; D008297:Male; D008875:Middle Aged; D036301:Qualitative Research; D012107:Research Design; D014481:United States