Daily In-Home Activity Metrics from the Intelligent Systems for Assessing Aging Changes (ISAAC), Portland, Oregon, 2011 (ICPSR 35063)
Version Date: Jun 18, 2014 View help for published
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Tamara Hayes, Oregon Health and Science University
https://doi.org/10.3886/ICPSR35063.v1
Version V1
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Summary View help for Summary
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.).
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Geographic Coverage View help for Geographic Coverage
Smallest Geographic Unit View help for Smallest Geographic Unit
None
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Date of Collection View help for Date of Collection
Data Collection Notes View help for 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 View help for 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 View help for Time Method
Universe View help for Universe
Adults aged 65 years or older living in the Portland, Oregon metropolitan area.
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Data Type(s) View help for Data Type(s)
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Description of Variables View help for 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 View help for Response Rates
100%
Presence of Common Scales View help for Presence of Common Scales
Mini-Mental State Examination, Clinical Dementia Rating Scale, Cumulative Illness Rating Scale, Geriatric Depression Scale, Functional Assessment Questionnaire(OARS)
HideOriginal Release Date View help for Original Release Date
2014-06-18
Version History View help for Version History
- Hayes, Tamara. Daily In-Home Activity Metrics from the Intelligent Systems for Assessing Aging Changes (ISAAC), Portland, Oregon, 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
2014-06-18 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:
- Created variable labels and/or value labels.
- Checked for undocumented or out-of-range codes.
Notes
The public-use data files in this collection are available for access by the general public. Access does not require affiliation with an ICPSR member institution.
This study is maintained and distributed by the National Archive of Computerized Data on Aging (NACDA), the aging program within ICPSR. NACDA is sponsored by the National Institute on Aging (NIA) at the National Institutes of Heath (NIH).