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Center for Large Data Research & Data Sharing in Rehabilitation

Rehabilitation Dataset Directory: Dataset Profile

Dataset: Well Elderly 2, Los Angeles, California, 2004-2008 (N/A)

Basic Information
Dataset full name: Well Elderly 2, Los Angeles, California, 2004-2008
Dataset acronym N/A
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.
Study Design Longitudinal
Data Type(s) Survey
Sponsoring Agency/Entity National Institutes of Health (NIH):
National Institute on Aging (NIA)
Health conditions/Disability measures
Health condition(s) N/A
Disability Measures 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 Population Community living elders 60-95 years old, non-hospitalized, not suffering from dementia and who had not participated in previous Well Elderly study.
Area: 21 sites in greater Los Angeles area, California.
Sample Size/Notes 460 participants (2008)
232 randomized to intervention and 228 randomized to control group (control group: received intervention 6 months after the first group)
Unit of Observation Individual
Geographic Coverage Greater Los Angeles Area, CA
Geographic specificity N/A
Data Collection
Data Collection Mode In-person cognitive tests and questionnaire completion.
Participants collected saliva samples at home which were then transferred to USC for analysis
Years Collected 2004-2008
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
Primary Website ICPSR website:
Data Access ICPSR website:
Data Access Requirements Public Use Dataset
Summary Tables/reports ICPSR Variable Listing:
Dataset components (where applicable) N/A
Selected papers
Technical Study record on 2017:

Documentation on medication codes and questionnaire:
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.

Predictors of retention among African American and Hispanic older adult research participants in the Well Elderly 2 randomized controlled trial.

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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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