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

Version
v1
Resource Type
Dataset : experimental data, observational data
Creator
  • Hayes, Tamara (Oregon Health and Science University)
Other Title
  • Version 1 (Subtitle)
Publication Date
2014-06-18
Funding Reference
  • United States Department of Health and Human Services. National Institutes of Health. National Institute on Aging
Language
English
Free Keywords
activities of daily living; aging; human behavior; independent living; older adults; sleep
Description
  • Abstract

    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.).
  • Abstract

    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.
  • Abstract

    age, race, sex, number of years of school. Metrics assessed by the sensors include total daily activity, time out of home, and walking speed.
  • Methods

    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..
  • Methods

    Presence of Common Scales: Mini-Mental State Examination, Clinical Dementia Rating Scale, Cumulative Illness Rating Scale, Geriatric Depression Scale, Functional Assessment Questionnaire(OARS)
  • Methods

    Response Rates: 100
  • Table of Contents

    Datasets:

    • DS0: Study-Level Files
    • DS1: Agreggate
    • DS2: Clinical
Temporal Coverage
  • Time period: 2011
  • 2011-11 / 2012-02
    Collection date: 2011-11--2012-02
Geographic Coverage
  • Oregon
  • Portland (Oregon)
  • United States
Sampled Universe
Older adults aged 65 years or older. Smallest Geographic Unit: City
Collection Mode
  • coded on-site observation, mixed mode

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

Note
Funding insitution(s): United States Department of Health and Human Services. National Institutes of Health. National Institute on Aging (R03-AG043014).
Availability
Download
This study is freely available to the general public via web download.
Alternative Identifiers
  • 35063 (Type: ICPSR Study Number)

Update Metadata: 2015-08-05 | Issue Number: 6 | Registration Date: 2015-06-16

Hayes, Tamara (2014): Daily In-Home Activity Metrics from the Intelligent Systems for Assessing Aging Changes (ISAAC), 2011. Version 1. Version: v1. ICPSR - Interuniversity Consortium for Political and Social Research. Dataset. https://doi.org/10.3886/ICPSR35063.v1