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Rehabilitation Dataset Directory: Dataset Profile
Dataset: Boston Rehabilitative Impairment Study of the Elderly (Boston RISE)
Basic Information | |
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Dataset Full Name | Boston Rehabilitative Impairment Study of the Elderly |
Dataset Acronym | Boston RISE |
Summary | 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 Survey |
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 |
Topics | Frailty, Falls, Injuries, Mobility, Risk factors, Pain, Activity limitations, Comorbidity, Rehabilitation, Treatment, Hospital stays, ER visits |
Sample |
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 |
|
Unit of Observation | Individual/Patient |
Continent(s) | North America |
Countries | 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 |
|
Strengths and Limitations |
Strengths | 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:
|
Limitations | 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: https://www.icpsr.umich.edu/icpsrweb/ADDEP/studies/37045/datadocumentation |
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: https://www.icpsr.umich.edu/icpsrweb/ADDEP/studies/37045/datadocumentation# |
Data Components | See "Description of Variables" for number of observations and variables in each data file (https://www.icpsr.umich.edu/web/ADDEP/studies/37045/summary)
|
Selected Papers |
Other Papers | The Boston Rehabilitative Impairment Study of the Elderly: A Description of Methods: https://www.sciencedirect.com/science/article/pii/S0003999312009173#bib1 Boston RISE publication list: https://www.icpsr.umich.edu/icpsrweb/ADDEP/studies/37045/publications |
Technical | Data documentation archived on ADDEP at ICPSR: https://www.icpsr.umich.edu/icpsrweb/ADDEP/studies/37045/datadocumentation |
Related Repositories |
Repositories |
Ask Our Researchers
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E-mail your question to our researchers at disabilitystatistics@cornell.edu
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 disabilitystatistics@cornell.edu