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OpenTrials
Completed

NCT Number: NCT01775826

Validating Machine -Learned Classifiers of Sedentary Behavior and Physical Activity

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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Key information

Conditions

Physical Activity Behavior Motor Activity Sedentary Behavior Sedentary Lifestyle

Age range

6 year–85 year

Sex eligibility

All sexes

Study type

Interventional

Phase

Not applicable

Primary location

UCSD

La Jolla, California, 92093, United States

Who can participate

Healthy volunteers accepted: Yes

Only the study team can determine whether someone qualifies for participation.

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.

Treatment and study plan

Measurement

Other

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

Primary outcomes

  1. 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).

Sponsors and collaborators

Lead sponsor

University of California, San Diego

Other

Registry information

Acronym: iWatch

Important dates

Study start
2013
Primary completion
2016
Study completion
2016
First posted
Jan 25, 2013
Registry last updated
Aug 20, 2019

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

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