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Educational differences in the compression of disability incidence in the United States.

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Date
2019-04
Authors
Chiu, Chi-Tsun
Hayward, Mark D
Chan, Angelique
Matchar, David B
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Abstract
<h4>Objective</h4>To examine educational differences in the compression of disability incidence in the United States.<h4>Method</h4>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.<h4>Results</h4>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).<h4>Discussion</h4>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.
Type
Journal article
Subject
Compression
Compression of disability incidence
Disability
Education
Mortality
Permalink
https://hdl.handle.net/10161/22787
Published Version (Please cite this version)
10.1016/j.ssmph.2018.100347
Publication Info
Chiu, Chi-Tsun; Hayward, Mark D; Chan, Angelique; & Matchar, David B (2019). Educational differences in the compression of disability incidence in the United States. SSM - population health, 7. pp. 100347. 10.1016/j.ssmph.2018.100347. Retrieved from https://hdl.handle.net/10161/22787.
This is constructed from limited available data and may be imprecise. To cite this article, please review & use the official citation provided by the journal.
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Scholars@Duke

Matchar

David Bruce Matchar

Professor of Medicine
My research relates to clinical practice improvement - from the development of clinical policies to their implementation in real world clinical settings. Most recently my major content focus has been cerebrovascular disease. Other major clinical areas in which I work include the range of disabling neurological conditions, cardiovascular disease, and cancer prevention. Notable features of my work are: (1) reliance on analytic strategies such as meta-analysis, simulation, decision analy
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