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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.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| All Purposes | Other | All participants. |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Measurement | Other | Measured usual (day-to-day) behavior with body-worn sensors. |
|
| Measure | Description | Time Frame |
|---|---|---|
| physical activity behavior classification using study sensors (accelerometers, Sensecam and GPS) | 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 |
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Inclusion Criteria:
Inclusion Criteria for participants 6-17 yr olds:
Inclusion Criteria for participants 18-64 yr old:
Inclusion Criteria for participants 65-85 yr olds:
Exclusion Criteria:
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| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| UCSD | La Jolla | California | 92093 | United States |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| Background | Moghimi, Mohammad**; Kerr, Jacqueline; Johnson, Eileen; Godbole, Suneeta; Belongie, Serge Discriminative Regions: A Substrate for Analyzing Life-Logging Image Sequences MultiMedia Modeling 2015 357-368. | ||
| 27089222 | Background | Kerr J, Patterson RE, Ellis K, Godbole S, Johnson E, Lanckriet G, Staudenmayer J. Objective Assessment of Physical Activity: Classifiers for Public Health. Med Sci Sports Exerc. 2016 May;48(5):951-7. doi: 10.1249/MSS.0000000000000841. | |
| 26673126 |
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| ID | Term |
|---|---|
| D009043 | Motor Activity |
| D057185 | Sedentary Behavior |
| ID | Term |
|---|---|
| D001519 | Behavior |
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| ID | Term |
|---|---|
| D014894 | Weights and Measures |
| ID | Term |
|---|---|
| D008919 | Investigative Techniques |
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| Background |
| Ellis K, Kerr J, Godbole S, Staudenmayer J, Lanckriet G. Hip and Wrist Accelerometer Algorithms for Free-Living Behavior Classification. Med Sci Sports Exerc. 2016 May;48(5):933-40. doi: 10.1249/MSS.0000000000000840. |