Measures of aging with disability in U.S. secondary data sets: Results of a scoping review

TitleMeasures of aging with disability in U.S. secondary data sets: Results of a scoping review
Publication TypeJournal Article
Year of Publication2016
AuthorsPutnam, M, Molton, IR, Truitt, AR, Smith, AE, Jensen, MP
JournalDisability and Health Journal
KeywordsDisabilities, Health Conditions and Status, Methodology

AbstractBackground There remain significant knowledge gaps in our understanding of aging with long-term disability. It is possible that important advances in knowledge could be gained using existing secondary data sets. However, little is known regarding which of the data sets available to researchers contain the age-related measures needed for this purpose, specifically age of onset and/or duration of disability measures. Objective To better understand the capacity to investigate aging with long-term disability (e.g. mobility limitation) and aging with long-term chronic conditions (e.g. spinal cord injury, multiple sclerosis) using extant data. Methods Public use national and regional data sets were identified through existing reports, web-based searches, and expert nomination. The age- and disability-related variables, including age of onset and duration of disability, were tabulated for data sets meeting inclusion criteria. Analysis was descriptive. Results A total of N = 44 data sets were reviewed. Of these, 22 contained both age and disability variables. Within these 22 data sets, 9 contained an age of onset or duration of disability variable. Six of the nine data sets contained age of diagnosis for a single or set of health conditions. Onset of functional limitation is in two, and onset of self-reported and/or employment disability is in four, of the nine data sets respectively. Conclusions There is some, but limited opportunity to investigate aging with long-term disability in extant U.S. public use secondary data sets.

Endnote Keywords

Aging/Disability/Disability/Secondary data/Measurement/Quantitative analysis

Endnote ID


Citation Key8361