Validating Machine -Learned Classifiers of Sedentary Behavior and Physical Activity (iWatch)
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Purpose
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 |
|---|
|
Physical Activity Sedentary Lifestyle |
| Study Type: | Observational |
| Study Design: | Observational Model: Cohort Time Perspective: Cross-Sectional |
| Official Title: | Validating Machine -Learned Classifiers of Sedentary Behavior and Physical Activity |
- physical activity behavior classification using study sensors (accelerometers, Sensecam and GPS) [ Time Frame: Baseline ] [ Designated as safety issue: No ]
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).
| Estimated Enrollment: | 210 |
| Study Start Date: | March 2013 |
| Estimated Study Completion Date: | April 2016 |
| Estimated Primary Completion Date: | April 2016 (Final data collection date for primary outcome measure) |
| Groups/Cohorts |
|---|
|
Child and adolescent
6-17 years of age
|
|
Adult
18-55 years of age
|
|
Older adults
65-85 years of age
|
Eligibility| Ages Eligible for Study: | 6 Years to 85 Years |
| Genders Eligible for Study: | Both |
| Accepts Healthy Volunteers: | Yes |
| Sampling Method: | Non-Probability Sample |
We will recruit 210 volunteer participants over a 2-yr period. Fifty percent of the sample will be women, and we will quota sample three specific age groups: 6-10 year olds (n = 70); 16-55 year olds (n=70); and 65-85 year olds (n= 70).
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 18-55 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.
Contacts and Locations More Information
No publications provided
| Responsible Party: | Jacqueline Kerr, Assistant Professor, University of California, San Diego |
| ClinicalTrials.gov Identifier: | NCT01775826 History of Changes |
| Other Study ID Numbers: | 1R01CA164993-01A1 |
| Study First Received: | January 17, 2013 |
| Last Updated: | January 22, 2013 |
| Health Authority: | United States: Institutional Review Board United States: Federal Government |
Keywords provided by University of California, San Diego:
|
physical activity sedentary behavior accelerometer |
GPS GIS machine learning |
ClinicalTrials.gov processed this record on June 17, 2013