Disparities by sex, race/ethnicity, and education in trends in the disability burden in the United States, 1996-2018.

IF 2.5 2区 社会学 Q1 DEMOGRAPHY
Shubhankar Sharma, Jo Mhairi Hale, Alessandro Feraldi
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引用次数: 0

Abstract

Research remains inconclusive on whether increased longevity is resulting in disability compression. Using the Health and Retirement Study and multistate models, this study is the first to examine trends (between 1996-2006 and 2008-18) across multiple key aspects of disability burden: namely, lifetime risk and age at onset of disability; recovery and mortality of the disabled; and disability-free life expectancy (DFLE) at age 50 in the United States' older population. Furthermore, we differentiate these trends by key socio-demographic factors: sex, race/ethnicity, and educational attainment. The analysis shows that over four-fifths of the total life expectancy increase at age 50 was in DFLE. This was accompanied by a one-year postponement in disability onset and insignificant recovery from disability. However, lifetime risk of disability remained unchanged between periods. Disability trends improved more for women than men. Latinx and the lowest-educated adults experienced no improvement in disability onset. The lowest-educated Whites exhibited substantial health deterioration.

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来源期刊
CiteScore
5.00
自引率
4.20%
发文量
30
期刊介绍: For over half a century, Population Studies has reported significant advances in methods of demographic analysis, conceptual and mathematical theories of demographic dynamics and behaviour, and the use of these theories and methods to extend scientific knowledge and to inform policy and practice. The Journal"s coverage of this field is comprehensive: applications in developed and developing countries; historical and contemporary studies; quantitative and qualitative studies; analytical essays and reviews. The subjects of papers range from classical concerns, such as the determinants and consequences of population change, to such topics as family demography and evolutionary and genetic influences on demographic behaviour.
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