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American Community Survey (ACS)
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Current Population Survey (CPS)
EEOC Charge Data
Rehabilitation Dataset Directory: Dataset Profile
Dataset: Well Elderly 2, Los Angeles, California, 2004-2008 ()
|Dataset Full Name||Well Elderly 2, Los Angeles, California, 2004-2008|
|Summary||The Well Elderly 2 dataset is designed to evaluate the effectiveness of an activity-based lifestyle intervention on health related quality of life, depression, cognition, life satisfaction and perceived physical and mental health of ethnically diverse community living elders. The study was a semi cross-over randomized intervention trial, with follow up to 18-24 months.
The study was conducted by the University of Southern California in collaboration with the National Institute on Aging.
|Key Terms||Occupational Therapy, Lifestyle Intervention, Older Adults, Community, Biomarkers, Aging, Longitudinal, Health, Psychosocial Well-being, Perceived Health, Cognitive Function, Social Support, Activity Frequency.|
|Sponsoring Agency/Entity||National Institutes of Health (NIH):
National Institute on Aging (NIA)
|Health Conditions/Disability Measures|
Functional limitations (ADLs and/or IADLs),
SF-36, The COPE, The Center for Epidemiological Studies-Depression (CES-D), Lubben Social Network Scale, Life Satisfaction Inventory-Z (LSI- Z), International Support Evaluation List (ISEL), Perceived Control Scale, Perceived Stress Scale (PSS), Meaningful Activity Participation Assessment (MAPA-F), Meaningful Activity Participation Assessment (MAPA-M)
Biomarkers: cortisol, dehydroepiandrosterone, and alpha amylase
|Measures/Outcomes of Interest|
|Topics||Effectiveness and cost-effectiveness of occupational therapy intervention, Perceived physical health, Psychosocial well-being, Cognitive function, Healthy activity, Perceived control, Stress biomarkers, Social support, Active coping.||Sample|
Households, Community living elders 60-95 years old, non-hospitalized, not suffering from dementia and who had not participated in previous Well Elderly study.
460 participants (2008):
|Unit of Observation||Individual|
|Geographic Coverage||Greater Los Angeles Area, CA|
|Data Collection Mode||In-person cognitive tests and questionnaire completion.
Participants collected saliva samples at home which were then transferred to USC for analysis
|Data Collection Frequency||Every 6 months||Strengths and Limitations|
|Strengths||Data ideal for identifying the psychological and biological processes through which activities influence aging outcomes. Results can be generalized to ethnically diverse minority elders. Outcomes can be assessed longitudinally. Primarily uses validated standardized measures.|
|Limitations||Sample size may not be adequate for analysis based on specific activities instead of total score. Generalizability is limited by the selection method of the participants; convenience sample rather than randomized. Sample drawn from urban area, results may not generalize to rural populations. Recall bias possible in the activities frequency questionnaire. Cost data not included in database.||Data Details|
Data archived on ADDEP at ICPSR:
|Data Access Requirements||Public Use Dataset|
|Data Components||N/A||Selected Papers|
|Other Papers||Effectiveness of a lifestyle intervention in promoting the well-being of independently living older people: results of the Well Elderly 2 Randomised Controlled Trial. https://www.ncbi.nlm.nih.gov/pubmed/21636614
Predictors of retention among African American and Hispanic older adult research participants in the Well Elderly 2 randomized controlled trial. https://www.ncbi.nlm.nih.gov/pubmed/24652865
Study record on clinicaltrials.gov/January 2017:
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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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