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Rehabilitation Dataset Directory: Dataset Profile

Dataset: Boston Rehabilitative Impairment Study of the Elderly (Boston RISE)

Basic Information
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. 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. Followup assessments following the same structure were conducted at 12 and 24 months post baseline data collection*. 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.

* An extension study included followups at 36 and 48 months (data currently being archived)

Key Terms

Mobility limitation, Aging, Older adults, Medications, Falls, Hospital stays, Frailty, Chronic conditions

Study Design Longitudinal
Data Type(s) Clinical
Sponsoring Agency/Entity

National Institutes of Health (NIH)

National Institute on Aging (NIA)

Health Conditions/Disability Measures
Health Condition(s)

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)

Disability Measures

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). 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

Sample Population

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 

Sample Size/Notes

430 completed the baseline visits

Unit of Observation



North America


United States

Geographic Coverage

Persons living in a 10 mile radius from Boston, Massachusetts

Geographic Specificity

Boston Massachusetts area

Special Population(s)

Aging/Older people

Data Collection
Data Collection Mode

In person and telephone interviews, physical performance tests

Years Collected

2009-2014 Main study (baseline, 12 & 24 month follow-up) 

2014-2016 Extension study (data archiving in progress)

Data Collection Frequency
  • Baseline with annual follow-up assessments
  • Every 3 months between baseline and each annual assessment: Phone based interview (tracking falls, hospitalizations, emergency department visits, and rehabilitative care)
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.


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. 

Data Details
Primary Website

Data archived on ADDEP at ICPSR:

Data Access

Data archived on ADDEP at ICPSR: 

Data Access Requirements

Data Use agreement, No cost

Summary Tables/Reports

Summary stats available for each of the 4 datasets in their related codebooks located here:

Data Components
  • Dataset 1 (Main Data File) contains demographic variables, health status and problems, scores derived from administered instruments and measures of physical ability.
  • Dataset 2 (Falls and Rehabilitation Follow-Up) contains variables pertaining to recent falls, hospital stays, rehabilitative care, and emergency room visits.
  • Dataset 3 (Medications) contains information relating to medications used
  • Dataset 4 (Tracking) tracks participant's status in years 1 to 4 
Selected Papers
Other Papers

The Boston Rehabilitative Impairment Study of the Elderly: A Description of Methods:

Boston RISE publication list:


Data documentation archived on ADDEP at ICPSR:

Related Repositories

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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:

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.

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