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| Name | Class |
|---|---|
| Kamuzu University of Health Sciences | OTHER |
| Singapore Clinical Research Institute | OTHER |
| University of Glasgow | OTHER |
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One way to assess impacts of nutrition supplements to health is to measure physical activity. Physical activity can be measured with small devices called "accelerometers". Before they can be used, the devices need to be validated in the population in question. Objectives of this study are to test accelerometers in field conditions and validate their use in 16-18 months old Malawian toddlers. This study does not have a pre-set hypothesis.
Accelerometers have not been validated in children under 2 years of age. In this study 50 toddlers from Lungwena will be recruited. The participants will wear an ActiGraph GT3X+ -accelerometer fitted on their waist with an elastic belt for 7 days. During the measuring, they will have two videotaped one-hour activity observations while wearing and additional accelerometer device fitted on their ankle. The output from the two devices will be compared to observed activity classified with CPAF-method.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Study group | Healthy children |
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| Measure | Description | Time Frame |
|---|---|---|
| Feasibility/acceptability | Proportion of participants (%) of wearing the accelerometer device for 4 days, 6 hours per day (defined from the accelerometer output data). | 7-day accelerometer measurement |
| Measure | Description | Time Frame |
|---|---|---|
| Cut-off point values for sedentary, light, moderate, and vigorous activity | 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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Inclusion Criteria:
Exclusion Criteria:
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Healthy children
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| Name | Affiliation | Role |
|---|---|---|
| Per Ashorn, MD, PhD | University of Tampere Medical School | Principal Investigator |
| Kenneth Maleta, MBBS, PhD | Kamuzu University of Health Sciences | Principal Investigator |
| Ashorn Ulla, PhD | University of Tampere Medical School | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| University of Malawi, College of Medicine | Mangochi | Malawi |
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| Label | URL |
|---|---|
| College of Medicine homepage | View source |
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| ID | Term |
|---|---|
| D009043 | Motor Activity |
| ID | Term |
|---|---|
| D001519 | Behavior |
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| First one-hour observation |
| Sensitivity and specificity of the determined cut-off point values | 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. | Second one-hour observation |
| Intra- and inter-subject variation in time spent in different activity classes | 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. | 7-day accelerometer measurement |