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

Sponsor

University of California, San Diego (Other)

Overall Status

Completed

CT.gov ID

NCT01775826

Collaborator

(none)

225

Enrollment

Location

Arm

Duration (Months)

6.1

Patients Per Site Per Month

Study Details

Study Description

Brief Summary

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.

Condition or Disease	Intervention/Treatment	Phase
Physical Activity Sedentary Lifestyle	Other: Measurement	N/A

Study Design

Study Type:

Interventional

Actual Enrollment :

225 participants

Allocation:

N/A

Intervention Model:

Single Group Assignment

Masking:

None (Open Label)

Primary Purpose:

Basic Science

Official Title:

Validating Machine -Learned Classifiers of Sedentary Behavior and Physical Activity

Study Start Date :

Mar 1, 2013

Actual Primary Completion Date :

Apr 1, 2016

Actual Study Completion Date :

Apr 1, 2016

Arms and Interventions

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

Arm

Intervention/Treatment

Other: All Purposes

All participants.

Other: Measurement

Measured usual (day-to-day) behavior with body-worn sensors.

Outcome Measures

Primary Outcome Measures

physical activity behavior classification using study sensors (accelerometers, Sensecam and GPS) [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).

Eligibility Criteria

Criteria

Ages Eligible for Study:

6 Years to 85 Years

Sexes Eligible for Study:

All

Accepts Healthy Volunteers:

Yes

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.