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. 2017 Oct;10(4):611-615.
doi: 10.1016/j.dhjo.2016.12.016. Epub 2017 Jan 1.

Identifying adults aging with disability using existing data: The case of the Health and Retirement Study

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Identifying adults aging with disability using existing data: The case of the Health and Retirement Study

Caitlin E Coyle et al. Disabil Health J. 2017 Oct.

Abstract

Background: The population of persons aging with disabilities is growing. Being able to segment aging with disability sub-populations within national data sets is becoming increasingly important in order to understand the relationship of aging with disability to a range of outcomes in later life including health and wellness, economic security, and health and long-term service and support need and use.

Objective: The purpose of this study was to identify viable sub-samples of adults aging with disabilities within the Health and Retirement Study, one of the most used secondary data sets to study aging and older adults.

Method: Samples used in this research are drawn from wave 11 (2012) of the HRS. Five operationalizations of disability were used: childhood disability (n = 719), childhood chronic condition (n = 3070), adult chronic condition (n = 13,723), functional limitation in adulthood (n = 4448) and work disability (n = 5632).

Results: These subsamples are not mutually exclusive. Among respondents that reported having a childhood disability, 87% also report having at least one chronic disease in adulthood, 50% report having functional limitations in adulthood and 38% report interruption in their ability to work due to a disability. Compared to the childhood disability samples, rates of reporting fair/poor health are nearly double among adults with functional limitations or those with work disruptions because of disability.

Conclusion: Work disability and functional limitation appeared to be the most viable sub-sample options to consider when using the HRS to study experiences of adults aging with disability. Overall, age at onset is unclear.

Keywords: Aging; Disability; Secondary data.

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