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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. 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.

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), 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

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 stairsĀ 

Sample Size/Notes
  • 430 completed the baseline visits
  • 262 completed year 2
  • 330 completed year 3
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) 

2014-2015 Extension study 

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.

The study utilized the following measures:

  • Avlund Mobility-Tiredness Scale
  • Frailty and Injuries Cooperative Studies of Intervention Techniques (FICSIT)
  • Hopkins Verbal Learning Test
  • Late Life Function and Disability Instrument (LLFDI)
  • McGill Pain Map
  • Mini-Mental State Exam (MMSE)
  • Patient Health Questionnaire-9 (PHQ-9)
  • Semmes-Weinstein Monofilament Test
  • Short Physical Performance Battery (SPPB)
  • Snellen Vision Test
  • Mobility Assessment Tool: Short Form (MAT-SF)

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 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 15 datasets in their related codebooks located here:

Data Components

See "Description of Variables" for number of observations and variables in each data file (

  • 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 years 0-2) 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 
  • Dataset 5 (Falls and Rehabilitation Follow-Up Years 3-4) Variables pertain to recent falls, hospital stays, and emergency room visits.
  • Dataset 6 (Fall Injury Medical Record) Variables pertain to recent falls, fall injuries, type and severity of fall injuries, emergency room visits, and hospitalization dates.
  • Dataset 7 (Imputed Impairments Year 0) Variables include measurements of physical ability such as extension and strength of trunk, legs, and joints.
  • Dataset 8 (Imputed Impairments Year 1) Variables include measurements of physical ability such as extension and strength of trunk, legs, and joints.
  • Dataset 9 (Imputed Impairments Year 2) Variables include measurements of physical ability such as extension and strength of trunk, legs, and joints.
  • Dataset 10 (Late Life Function and Disability Instrument (LLFDI)) Variables include scores based on ability to perform basic tasks such as walking and climbing stairs.
  • Dataset 11 (Mobility Assessment Tool: Short Form (MAT-SF)) Variables measure self-perception of physical ability for tasks such as walking, jogging, and climbing stairs.
  • Dataset 12 (Definitive Symptomatic Lumbar Spinal Stenosis (SLSS))Variables measure symptoms of Lumbar Spinal Stenosis (LSS) such as leg pain, numbness, or weakness.
  • Dataset 13 (CT Scan Measurements - Abdominal Cavity and Vertebral Height) Variables measure cross sectional area and width of the abdominal cavity at different vertebral levels as well as vertebral height of individual vertebra.
  • Dataset 14 (CT Scan Measurements - Lumbar Muscle) Variables include measurements of position and area of scans made at 3 lumbar slices at different vertebral levels.
  • Dataset 15 (CT Scan Measurements - Thigh Muscle) Variables include measurements of position and area of a scanned mid-thigh slice.
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).

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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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