FIND Disability Statistics
American Community Survey (ACS)
- Employment Rate
- Not Working but Actively Looking for Work
- Full-Time / Full-Year Employment
- Annual Earnings
- Annual Household Income
- Supplemental Security Income (SSI)
- Educational Attainment
- Veterans Service-Connected Disability
- Health Insurance Coverage (and Type)
Current Population Survey (CPS)
EEOC Charge Data
Rehabilitation Dataset Directory: Dataset Profile
Dataset: Boston Rehabilitative Impairment Study of the Elderly (Boston RISE)
|Dataset Full Name||Boston Rehabilitative Impairment Study of the Elderly|
|Dataset Acronym||Boston RISE|
The Boston Rehabilitative Impairment Study of the Elderly (Boston RISE) was a prospective cohort study of 430 primary care patients, aged 65 years and older, who were at risk for declining mobility and disability at baseline. The study was designed to better understand the predictors for mobility decline and investigate the combinations of neuromuscular impairments related to mobility decline and disability.
RISE collected extensive data from each participant at baseline including a physical examination, physical performance tests and questionnaires addressing the following topics: functional ability, falls, rehabilitative care, physical activity, activity limitations, medical history, chronic conditions and pain. Follow-up assessments following the same structure were conducted at 12 and 24 months post baseline data collection.
Participants from the original sample were invited to participate in the extension and the ancillary studies. The extension study included follow-ups at 36 and 48 months.
Mobility limitation, Aging, Older adults, Medications, Falls, Hospital stays, Frailty, Chronic conditions
National Institutes of Health (NIH)
National Institute on Aging (NIA)
|Health Conditions/Disability Measures|
Alzheimer's/dementia, Arthritis, Blood disorder, Body Mass Index (BMI)/obesity, Cancer, Cardiovascular conditions, Chronic pain (Brief Pain Inventory: BPI, McGill Pain Map), Depression (PHQ-9 score), Diabetes, Heart attack, Kidney/renal condition, Multiple sclerosis, Neurological conditions, Osteoporosis, Parkinson's disease, Pulmonary disorders, Stroke, Thyroid disease, Traumatic Brain Injury (TBI)
Ambulatory disability, Cognitive disability (Mini-Mental State Exam-MMSE, Hopkins Verbal Learning Test - HVLT), Visual disability (Snellen vision test)
Other disability related measures include: Late Life Function and Disability Instrument (LLFDI), Hopkins Verbal Learning Test (HVLT), the Short Physical Performance Battery (SPPB), Mobility Assessment Tool: Short Form (MAT-SF). Also contains a variety of physical performance measures primarily focused on ambulation including: walking, stair climbing, range of motion, speed, leg strength & power, reaction time, chair stand test.
|Measures/Outcomes of Interest|
Frailty, Falls, Injuries, Mobility, Risk factors, Pain, Activity limitations, Comorbidity, Rehabilitation, Treatment, Hospital stays, ER visits
Adults aged 65 years or older living within a 10-mile radius from, and receiving primary care at either Massachusetts General Hospital or Brigham and Women's Hospital in Boston. Participation criteria: difficulty walking 1/2 mile (6 blocks) or climbing 1 flight (10 steps) of stairs
|Unit of Observation||
Persons living in a 10 mile radius from Boston, Massachusetts
Boston Massachusetts area
|Data Collection Mode||
In person and telephone interviews, physical performance tests
2009-2014 Main study (baseline, 12 & 24 month follow-up)
2014-2015 Extension study
|Data Collection Frequency||
||Strengths and Limitations|
Includes both self-reports and objective measures of disability and impairments. Very well documented. Significant effort made to minimize missing values. Sample is consistent with the sex and racial composition of the older population within the geographic region from which participants were recruited.
The study utilized the following measures:
Study population is predominantly female and white and findings may not be generalizable to more ethnically diverse patient groups.
Cohort is derived from a single health care system from a large northeastern city and lived within a 10-mile radius.
Data archived on ADDEP at ICPSR:
Data archived on ADDEP at ICPSR:
|Data Access Requirements||
Data Use agreement, No cost
Summary stats available for each of the 15 datasets in their related codebooks located here:
See "Description of Variables" for number of observations and variables in each data file (https://www.icpsr.umich.edu/web/ADDEP/studies/37045/summary)
The Boston Rehabilitative Impairment Study of the Elderly: A Description of Methods:
Boston RISE publication list:
Data documentation archived on ADDEP at ICPSR:
Ask Our Researchers
Have a question about disability data or datasets?
E-mail your question to our researchers at email@example.com
The Rehabilitation Research Cross-dataset Variable Catalog has been developed through the Center for Large Data Research & Data Sharing in Rehabilitation (CLDR). The Center for Large Data Research and Data Sharing in Rehabilitation involves a consortium of investigators from the University of Texas Medical Branch, Cornell University's Yang Tan Institute (YTI), and the University of Michigan. The CLDR is funded by NIH - National Institute of Child Health and Human Development, through the National Center for Medical Rehabilitation Research, the National Institute for Neurological Disorders and Stroke, and the National Institute of Biomedical Imaging and Bioengineering. (P2CHD065702).
Other CLDR supported resources and collaborative opportunities:
- Archive of Data on Disability to Enable Policy and research (ADDEP)
- Data Sharing & Archiving at CLDR
- Pilot Project Program
- Visiting Scholars Program
Acknowledgements: This tool was developed through the efforts of William Erickson and Arun Karpur, and web designers Jason Criss and Jeff Trondsen at Cornell University. Many thanks to graduate students Kyoung Jo Oh and Yeong Joon Yoon who developed much of the content used in this tool.
For questions or comments please contact firstname.lastname@example.org