Validating Machine -Learned Classifiers of Sedentary Behavior and Physical Activity (iWatch)

August 15, 2019 updated by: Marta Jankowska, University of California, San Diego
The majority of the US population spends most of the day sitting and the we have new scientific evidence that this can contribute to poor health regardless of how much physical activity a person does. However, we do not measure sitting time very accurately and when we ask people to tell us how much they do, their answers are unreliable. Our study will use small sensors to objectively measure when people sit or do physical activity, and we will use sophisticated computational techniques to summarize these movement patterns.

Study Overview

Status

Completed

Conditions

Intervention / Treatment

Study Type

Interventional

Enrollment (Actual)

225

Phase

  • Not Applicable

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

  • United States
    • California
      • La Jolla, California, United States, 92093
        • UCSD

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

6 years to 85 years (Child, Adult, Older Adult)

Accepts Healthy Volunteers

No

Genders Eligible for Study

All

Description

Inclusion Criteria:

Inclusion Criteria for participants 6-17 yr olds:

  • provide written parental consent to complete study protocols;
  • provide verbal assent to complete study protocols;
  • willingness to complete 2 visits to UCSD offices;
  • willingness to wear multiple sensor devices on 7 days for 12 hours per day;
  • willingness to wear wrist accelerometer on 7 days for 24 hours per day;
  • willingness to have their height and weight measured;
  • be able to walk unassisted
  • able to read and understand study materials in English.

Inclusion Criteria for participants 18-64 yr old:

  • provide written consent to complete study protocols;
  • willingness to complete 2 visits to UCSD offices;
  • willingness to wear multiple sensor devices on 7 days for 12 hours per day;
  • willingness to wear wrist accelerometer on 7 days for 24 hours per day;
  • complete a survey assessing their demographic characteristics;
  • willingness to have their height and weight measured;
  • be physically and cognitively able to walk unassisted,
  • able to read and understand study materials in English.

Inclusion Criteria for participants 65-85 yr olds:

  • provide written consent to complete study protocols;
  • correctly answer verbal questions about their comprehension of the informed consent;
  • willingness to complete 2 visits to UCSD offices;
  • willingness to wear multiple sensor devices on 7 days for 12 hours per day;
  • willingness to wear wrist accelerometer on 7 days for 24 hours per day;
  • complete a survey assessing their demographic;
  • willingness to have their height and weight measured;
  • be physically and cognitively able to walk without the assistance of another person (walking aids are permitted)
  • able to read and understand study materials in English.

Exclusion Criteria:

  • unable to ambulate;
  • attends a workplace or school on monitoring days that prohibits static images being taken by a SenseCam worn around the neck of the participant;
  • pregnancy in second or third trimester.

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Primary Purpose: Basic Science
  • Allocation: N/A
  • Interventional Model: Single Group Assignment
  • Masking: None (Open Label)

Arms and Interventions

Participant Group / Arm
Intervention / Treatment
Other: All Purposes
All participants.
Other: Measurement
Measured usual (day-to-day) behavior with body-worn sensors.

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
physical activity behavior classification using study sensors (accelerometers, Sensecam and GPS)
Time Frame: Baseline

Using an annotated data set of SenseCam images in three free-living population subgroups, we will compare sensitivity, specificity and percent agreement between behavioral classifiers derived from: (a) single axis vs. multi axis accelerometers; (b) aggregated movement counts vs. raw acceleration data; (c) hip vs. wrist mounted accelerometers.

Determine (a) the extent to which adding GPS data improves discrimination accuracy over accelerometer only behavior classification (i.e., best classifier resulting from Aim 1); and (b) the extent to which adding GIS data improves discrimination accuracy over accelerometer and GPS behavior classification alone (i.e., best classifier resulting from Aim 2a).
Baseline

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Sponsor

University of California, San Diego

Publications and helpful links

The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.

General Publications

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start

March 1, 2013

Primary Completion (Actual)

April 1, 2016

Study Completion (Actual)

April 1, 2016

Study Registration Dates

First Submitted

January 17, 2013

First Submitted That Met QC Criteria

January 22, 2013

First Posted (Estimate)

January 25, 2013

Study Record Updates

Last Update Posted (Actual)

August 20, 2019

Last Update Submitted That Met QC Criteria

August 15, 2019

Last Verified

August 1, 2019

More Information

Terms related to this study

Keywords

Other Study ID Numbers

  • 1R01CA164993-01A1 (U.S. NIH Grant/Contract)

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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