%0 Journal Article %J The Gerontologist %D 2021 %T Educational Benefits and Cognitive Health Life Expectancies: Racial/Ethnic, Nativity, and Gender Disparities %A Marc Garcia %A Brian Downer %A Chi-Tsun Chiu %A Joseph L Saenz %A Ortiz, Kasim %A Rebeca Wong %K cognitive impairment %K Dementia %K Life Expectancy %K nativity %K Race/ethnicity %X To examine racial/ethnic, nativity, and gender differences in the benefits of educational attainment on cognitive life expectancies among older adults in the United States.We used data from the Health and Retirement Study (1998-2014) to estimate Sullivan-based life tables of cognitively healthy, cognitively impaired/no dementia (CIND), and dementia life expectancies by gender for older White, Black, U.S.-born and foreign-born Hispanic adults with less than high school, high school, and some college or more.White respondents lived a greater percentage of their remaining lives cognitive healthy than their minority Black or Hispanic counterparts, regardless of level of education. Among respondents with some college or more, versus less than high school, Black and U.S.-born Hispanic women exhibited the greatest increase (both 37 percentage points higher) in the proportion of total life expectancy spent cognitively healthy; whereas White women had the smallest increase (17 percentage points higher). For men, the difference between respondents with some college or more, versus less than high school, was greatest for Black men (35 percentage points higher) and was lowest for U.S.-born Hispanic men (21 percentage points higher).Our results provide evidence that the benefits of education on cognitive life expectancies are largest for Black men and women, and U.S.-born Hispanic women. The combination of extended longevity and rising prevalence of Alzheimer’s disease point to the need for understanding why certain individuals spend an extended period of their lives with poor cognitive health. %B The Gerontologist %V 61 %P 330-340 %@ 0016-9013 %G eng %N 3 %R 10.1093/geront/gnaa112 %0 Conference Proceedings %B 32nd Reves Meeting %D 2021 %T Educational Differences in Life Span Variation in Dementia Incidence %A Hyungmin Cha %A Mateo P Farina %A Chi-Tsun Chiu %A Mark D Hayward %K Dementia %K Education %X Objective: To examine educational differences in life span variation in dementia in the United States and assess the role of adult income in explaining the variation within educational levels. Method: We use the Health and Retirement Study (2000-2014) and techniques of microsimulation and bootstrap to estimate the age distribution of dementia incidence for major education groups, controlling and not controlling for adult income. Hypotheses: We anticipate that life span variation in dementia incidence will be substantially larger among less educated persons than among highly educated persons. Part of the reason for the larger educational variation among less educated persons may reflect both economic vulnerability in later adulthood (a large frail tail) and economic success (a smaller but visible robust tail). Among well educated people, we expect to see a compression of dementia reflecting a very small frail tail and the postponement of dementia until ages proximate to death %B 32nd Reves Meeting %I Reves Network on Health Expectancy %C Virtual %G eng %U https://www.reves2021.org/sites/reves2021.org/files/2021-05/Schedule_REVES2021_withAbstract.pdf %0 Journal Article %J SSM - Population Health %D 2019 %T Educational differences in the compression of disability incidence in the United States %A Chi-Tsun Chiu %A Mark D Hayward %A Chan, Angelique %A Matchar, David B. %K Activities of Daily Living %K Disabilities %K Education %X Objective: To examine educational differences in the compression of disability incidence in the United States. Method: We use the Health and Retirement Study and techniques of microsimulation and bootstrap to estimate the distribution of mortality and disability incidence for major education groups. Results: Higher education is associated with a right shift in the age distributions of both mortality and disability incidence, and more compressed distributions above the modal ages (p<0.05). Our study also points to gender differences in the association between education and compression of mortality and disability incidence (p<0.05). Discussion: To our knowledge, no prior studies have examined educational difference in compression of disability incidence and conducted formal tests for statistical significance. Educational differences in life span variation in mortality correspond closely with life span variation in disability incidence. One long-range implication of this work is growing inequality in life-span variation in disability incidence given trends in educational differences in life-span variation in mortality. %B SSM - Population Health %V 7 %P 100347 %G eng %! SSM - Population Health %R 10.1016/j.ssmph.2018.100347