Daily In-Home Activity Metrics from the Intelligent Systems for Assessing Aging Changes (ISAAC), Portland, Oregon, 2011 (ICPSR 35063)

Version Date: Jun 18, 2014

Cite this study |

Principal Investigator(s):
Tamara Hayes, Oregon Health and Science University

https://doi.org/10.3886/ICPSR35063.v1

Version V1

Slide tabs to view more

Alternate Title

ISAAC

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.).

Citation

Hayes, Tamara. Daily In-Home Activity Metrics from the Intelligent Systems for Assessing Aging Changes (ISAAC), Portland, Oregon, 2011. Inter-university Consortium for Political and Social Research [distributor], 2014-06-18. https://doi.org/10.3886/ICPSR35063.v1

Export Citation:

  • RIS (generic format for RefWorks, EndNote, etc.)
  • EndNote

Funding

United States Department of Health and Human Services. National Institutes of Health. National Institute on Aging (R03-AG043014)

Subject Terms

Geographic Coverage

Smallest Geographic Unit

None

Distributor(s)

Inter-university Consortium for Political and Social Research
Hide

Time Period(s)

2011

Date of Collection

2011-11 -- 2012-02

Data Collection Notes

  1. A description of the in-home sensor system, diagrams, algorithms, and other information may be found in the document "Annotation".

Hide

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

Universe

Adults aged 65 years or older living in the Portland, Oregon metropolitan area.

Unit(s) of Observation

Individual

Data Type(s)

Mode of Data Collection

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)

Hide

Original Release Date

2014-06-18

Version History

2018-02-15 The citation of this study may have changed due to the new version control system that has been implemented. The previous citation was:
  • 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.
Hide

Weight

None

Hide

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.