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Validating Machine -Learned Classifiers of Sedentary Behavior and Physical Activity

NCT01775826 · Status: COMPLETED · Phase: NA · Type: INTERVENTIONAL · Enrollment: 225

Last updated 2019-08-20

No results posted yet for this study

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.

Conditions

  • Physical Activity
  • Sedentary Lifestyle

Interventions

OTHER

Measurement

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

Sponsors & Collaborators

Study Design

Allocation
NA
Purpose
BASIC_SCIENCE
Masking
NONE
Model
SINGLE_GROUP

Eligibility

Min Age
6 Years
Max Age
85 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2013-03-31
Primary Completion
2016-04-30
Completion
2016-04-30

Countries

  • United States

Study Locations

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Entities

Companies

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT01775826 on ClinicalTrials.gov