Daily In-Home Activity Metrics from the Intelligent Systems for Assessing Aging Changes (ISAAC), 2011 (ICPSR 35063)
Principal Investigator(s): Hayes, Tamara, Oregon Health and Science University
The ISAAC study developed methods of continuously assessing behaviors of seniors living independently in the community, with the ultimate goal of identifying trends in behavior and activity measures that would be predictive of a later transition to Mild Cognitive Impairment. Homes of participants were instrumented with wireless motion and door sensors, which captured movements throughout the home as they occurred. Participants were monitored continuously for about three years. Participants were also evaluated annually with a full clinical and neuropsychological battery of tests. Algorithms were developed to derive measures of motor activity (median walking speed, number of walks along a chosen path in the home, time spent out of the home, number of room transitions), measures of computer use (number of computer sessions and total time spent on the computer), and measures of nighttime activity (sleep latency, total time in bed, number of bathroom visits at night, motion in bed at night, etc.).
These data are freely available.
Hayes, Tamara. Daily In-Home Activity Metrics from the Intelligent Systems for Assessing Aging Changes (ISAAC), 2011. ICPSR35063-v1. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2014-06-18. http://doi.org/10.3886/ICPSR35063.v1
Persistent URL: http://doi.org/10.3886/ICPSR35063.v1
This study was funded by:
- United States Department of Health and Human Services. National Institutes of Health. National Institute on Aging (R03-AG043014)
Scope of Study
Subject Terms: activities of daily living, aging, human behavior, independent living, older adults, sleep
Smallest Geographic Unit: City
Geographic Coverage: Oregon, Portland (Oregon), United States
Date of Collection:
Unit of Observation: Individual
Universe: Older adults aged 65 years or older.
Data Types: experimental data, observational data
Data Collection Notes:
A description of the in-home sensor system, diagrams, algorithms, and other information may be found in the document "Annotation".
Study Purpose: To continuously assess behaviors of seniors living independently in the community, in order to identify trends in behavior and activity measures that would be predictive of a later transition to mild cognitive impairment.
Time Method: Time Series
Kind of Data: quantitative
Mode of Data Collection: coded on-site observation, mixed mode
Description of Variables: age, race, sex, number of years of school. Metrics assessed by the sensors include total daily activity, time out of home, and walking speed.
Response Rates: 100
Presence of Common Scales: Mini-Mental State Examination, Clinical Dementia Rating Scale, Cumulative Illness Rating Scale, Geriatric Depression Scale, Functional Assessment Questionnaire(OARS)
Extent of Processing: ICPSR data undergo a confidentiality review and are altered when necessary to limit the risk of disclosure. ICPSR also routinely creates ready-to-go data files along with setups in the major statistical software formats as well as standard codebooks to accompany the data. In addition to these procedures, ICPSR performed the following processing steps for this data collection:
- Performed consistency checks.
- Created variable labels and/or value labels.
- Checked for undocumented or out-of-range codes.
Original ICPSR Release: 2014-06-18
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