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American Community Survey (ACS)
- Employment Rate
- Not Working but Actively Looking for Work
- Full-Time / Full-Year Employment
- Annual Earnings
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- Veterans Service-Connected Disability
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Current Population Survey (CPS)
EEOC Charge Data
Rehabilitation Dataset Directory: Dataset Profile
Dataset: Established Populations for Epidemiologic Studies of the Elderly (EPESE)
|Dataset Full Name||Established Populations for Epidemiologic Studies of the Elderly|
|Summary||The Established Populations for Epidemiologic Studies of the Elderly (EPESE) is a longitudinal prospective study, funded by National Institute on Aging. The EPESE sample consists of non-institutionalized individuals age 65 and older in four regions: East Boston, Massachusetts; two rural counties in Iowa; New Haven, Connecticut, and central North Carolina. The purpose of the study is to understand the predictors of mortality, hospitalization, and risk factors for chronic diseases, functional decline, and admission to long-term care facilities. The study consisted of a preliminary baseline household interview of participants followed annually. Information from hospital/state records and death certificates are also included.|
|Key Terms||Older adults, Hospitalization, Long-term care, Frailty, Chronic disease, Health behaviors, Chronic illnesses, Death, Health care, Hospitalization, Long-term care, Medical history, Mortality rates, Nursing homes|
National Institutes of Health (NIH):
National Institute on Aging (NIA)
|Health Conditions/Disability Measures|
Stroke, Kidney/renal condition, Migraine or frequent headaches, Missing limbs/hand/finger/feet, Orthopedic conditions, Parkinson's disease, Pulmonary disorders, Chronic pain, Depression, Diabetes, Eye diseases, Heart attack, Cancer, Cardiovascular conditions, Alzheimer's/dementia, Arthritis, Body mass index (BMI)/obesity,
|Disability Measures||Ambulatory disability, Cognitive disability, Communication impairment, Functional limitations (ADLs and/or IADLs), Hearing disability, Independent living disability, Physical disability, Self-care disability, Special equipment use/assistive technology, Veteran service-related disability, Visual disability, Work limitation||Measures/Outcomes of Interest|
|Topics||Income, Education, Marital status, Children, Employment, Religion, Physical functioning, Health-related problems, Health habits, Dental service use, Hospital service, Nursing Home Services. Clinical Variables: Height, Weight, Blood Pressure (baseline and third in-person interview)||Sample|
Non-institutionalized persons 65 years of age and older
1981-1993: Approximately 14,456
|Unit of Observation||Individual|
|Geographic Coverage||East Boston, Massachusetts, New Haven, Connecticut, Iowa (Iowa and Washington counties), five counties in north central North Carolina|
|Geographic Specificity||Individual level|
|Data Collection Mode||
Baseline: In-person interview
Follow-up: Phone and in-person interviews depending on waveData supplemented by hospital and state data system health service records and death certificate information.
|Data Collection Frequency||
Baseline Data: 1981
6 approximately annual follow-up interviews
|Strengths and Limitations|
Longitudinal design of the survey assists in identifying risk factors of diseases, disabilities, hospitalizations, institutionalization, and mortality.
Large community-based sample and high initial response rate (80% and higher).
Attrition for reasons other than death was minimal.
Males were oversampled to maintain balance in the gender distribution. North Carolina sample consists of at least 50 percent African-Americans.
Small sub-sample had blood samples taken in sixth follow-up.
|Limitations||Sample not nationally representative. High proportion (up to 20%) of oldest cohort’s data based on proxy responses. Some variation in survey content by study location.Study relied on self-reported information on chronic disease, hospitalization, and nursing home service. Very limited nutrition/diet information.||Data Details|
ADDEP at ICPSR:
Data archived on ADDEP at ICPSR:
|Data Access Requirements||Public Use Dataset|
|Similar/Related Dataset(s)||Selected Papers|
Questionnaires, codebooks and manuals:
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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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