@inbook {9830, title = {Cognitive Functioning of U.S. Adults by Race and Hispanic Origin}, booktitle = {Contextualizing Health and Aging in the Americas}, year = {2018}, pages = {85 - 107}, publisher = {Springer International Publishing}, organization = {Springer International Publishing}, address = {Cham}, abstract = {The U.S. older adult population is becoming increasingly diverse. The evidence from research using data from diverse older adult populations indicates that Hispanics have poorer performance on cognitive tests than older non-Hispanic whites (NHW). However, the evidence that older Hispanics are at an increased risk for Alzheimer{\textquoteright}s disease or related dementia (ADRD) than NHW is less clear. Interpreting the evidence from existing research on disparities between NHWs and Hispanics is complicated by the fact that few studies have differentiated between Hispanic subgroups by country of origin. In this chapter, we use the ethnic descriptor of Hispanic as interchangeable with Latino. We summarize the current evidence on disparities between Hispanics and NHW in cognitive functioning and ADRD, and factors that may contribute to these disparities. This summary focuses on the rationale for considering specific Hispanic populations when studying differences in cognitive functioning between Hispanics and NHWs. Finally, we present and discuss the findings from an analysis of data from the 2010 wave of the Health and Retirement Study (n = 18,982) in which we examine differences in three cognitive domains by race/ethnicity, including four Hispanic subgroups. In this analysis, all Hispanic subgroups, except Cubans, had significantly lower scores for all cognitive domains compared to NHWs, with Puerto Ricans showing the lowest scores among Hispanics.}, keywords = {Alzheimer{\textquoteright}s disease, Cognitive Ability, Hispanics, Racial/ethnic differences}, isbn = {978-3-030-00583-2}, doi = {10.1007/978-3-030-00584-910.1007/978-3-030-00584-9_5}, url = {https://link.springer.com/chapter/10.1007/978-3-030-00584-9_5}, author = {D{\'\i}az-Venegas, Carlos and Brian Downer and Kenneth M. Langa and Rebeca Wong}, editor = {William A. Vega and Jacqueline L. Angel and Guti{\'e}rrez Robledo, Luis Miguel F. and Kyriakos S Markides} } @inbook {5252, title = {The Economic Security of Latino Baby Boomers: Implications for Future Retirees and for Healthcare Funding in the U.S.}, booktitle = {Challenges of Latino Aging in the Americas}, year = {2015}, pages = {355-378}, publisher = {Springer}, organization = {Springer}, chapter = {21}, address = {New York}, keywords = {Consumption and Savings, Healthcare, Net Worth and Assets, Public Policy, Women and Minorities}, author = {Zachary Gassoumis and Kathleen H. Wilber and Torres-Gil, Fernando M.}, editor = {William A. Vega and Kyriakos S Markides and Jacqueline L. Angel and Torres-Gil, Fernando M.} } @inbook {5251, title = {Racial and Ethnic Disparities in Willingness to Pay for Improved Health: Evidence from the Aging and Population}, booktitle = {Challenges of Latino Aging in the Americas}, year = {2015}, pages = {333-354}, publisher = {Springer}, organization = {Springer}, chapter = {20}, address = {New York}, keywords = {Health Conditions and Status, Net Worth and Assets, Women and Minorities}, author = {Odufuwa, Olufolake O. and Berrens, Robert P. and Valdez, R. Burciaga}, editor = {William A. Vega and Kyriakos S Markides and Jacqueline L. Angel and Torres-Gil, Fernando M.} } @article {7682, title = {Ethnic/race differences in the attrition of older American survey respondents: implications for health-related research.}, journal = {Health Serv Res}, volume = {47}, year = {2012}, month = {2012 Feb}, pages = {241-54}, publisher = {47}, abstract = {

OBJECTIVE: To compare models of attrition across race/ethnic groups of aging populations and discuss implications for health-related research.

DATA SOURCES: The Health and Retirement Study (1992-2008).

STUDY DESIGN: A competing risks model was estimated using a multinomial logit model when respondents faced competing types of risks, such as dying, being lost from the study, and nonresponse in some years for different groups of elderly. Key explanatory variables were foreign birth, health insurance, and health status.

PRINCIPAL FINDINGS: Variables describing foreign birth, health insurance, and health status differed in their prediction of attrition across ethnic groups of aging populations.

CONCLUSIONS: Differences in the predictors of attrition across ethnic groups of elderly could potentially lead to biased estimates in health-related research using longitudinal data sources.

}, keywords = {Bias, ethnicity, Female, Health Care Surveys, Health Services Research, Health Surveys, Hispanic or Latino, Humans, Male, Mexican Americans, Middle Aged, Racial Groups, Risk, Socioeconomic factors, United States}, issn = {1475-6773}, doi = {10.1111/j.1475-6773.2011.01322.x}, author = {Natalia A. Zhivan and Alfonso Ang and Hortensia Amaro and William A. Vega and Kyriakos S Markides} }