Validating Accelerometers to Study Physical Activity of Toddlers
Validating the Use of Accelerometers for the Study of Physical Activity Among Young Malawian Toddlers
Study Overview
Status
Status
Conditions
Conditions
Detailed Description
Study Type
Study Type
Enrollment (Actual)
Enrollment
Contacts and Locations
Study Locations
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Mangochi, Malawi
- University of Malawi, College of Medicine
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Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
Sampling Method
Study Population
Description
Inclusion Criteria:
- signed informed consent from at least one guardian
- age 16.00 months to 17.99 months
- availability during the period of the study
Exclusion Criteria:
- any guardian reported or observed illness that limits child's physical activity
- a condition reported by the guardian that limits child's activity co-operate in the study
- wasting (weight-for-height < 2 SD)
- concurrent participation in any clinical trial with an intervention
Study Plan
How is the study designed?
Design Details
Number of groups / cohorts
Cohorts and Interventions
Group / CohortGroup / Cohort |
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Study group
Healthy children
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What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
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Feasibility/acceptability
Time Frame: 7-day accelerometer measurement
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Proportion of participants (%) of wearing the accelerometer device for 4 days, 6 hours per day (defined from the accelerometer output data).
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7-day accelerometer measurement
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Secondary Outcome Measures
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
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Cut-off point values for sedentary, light, moderate, and vigorous activity
Time Frame: First one-hour observation
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Videotaped observation of physical activity is classified by CPAF-method.
Vector magnitude of the ActiGraph device attached to hip is compared to this gold standard and cut-off point values are determined by ROC curve analysis.
Values are presented in counts/15 seconds.
Sensitivity and specificity of the determined cut-point values in predicting the right activity class are also calculated.
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First one-hour observation
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Sensitivity and specificity of the determined cut-off point values
Time Frame: Second one-hour observation
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Activity count cut-off points derived from the first one-hour observation are cross-validated by determining their sensitivity and specificity in predicting the right activity class during the second one-hour observation.
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Second one-hour observation
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Intra- and inter-subject variation in time spent in different activity classes
Time Frame: 7-day accelerometer measurement
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Intra-subject variation in time (%) spent in different activity classes between different days and inter-subject variation in time spent in different activity classes are determined.
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7-day accelerometer measurement
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Collaborators and Investigators
Sponsor
Sponsor
Collaborators
Collaborators
Investigators
Investigators
- Principal Investigator: Kenneth Maleta, MBBS, PhD, Kamuzu University of Health Sciences
- Principal Investigator: Per Ashorn, MD, PhD, University of Tampere Medical School
- Principal Investigator: Ashorn Ulla, PhD, University of Tampere Medical School
Publications and helpful links
Helpful Links
Study record dates
Study Major Dates
Study Start
Study Start
Primary Completion (Actual)
Primary Completion
Study Completion (Actual)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (Estimate)
First Posted
Study Record Updates
Last Update Posted (Estimate)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Other Study ID Numbers
Other Study ID Numbers
- AG Validation Lungwena
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