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| ID | Type | Description | Link |
|---|---|---|---|
| 2013-A01140-45 | Other Identifier | ANSM |
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| Name | Class |
|---|---|
| Almerys | OTHER |
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The aim of this study was to validate functions for estimating energy expenditure in controlled and free-living conditions. This method was based on accelerometry data acquired from smartphones worn in a trouser pocket. The developed functions have been compared to the estimations provided by three research devices named Fitmate, Armband and Actiheart.
There is a growing interest in evaluating physical activity and energy expenditure (EE) to provide feedback to the user. The use of mass-market sensors such as accelerometers offers a promising solution for the general public due to the growing smartphone market over the last decade.
Two previous studies allowed to propose a function named PredEE, which has been tested on normal-weighted volunteers.
This EE estimation function has been tested and improved with data collected from 43 overweight volunteers equipped with smartphones and two or three research sensors (Fitmate, Armband and Actiheart in controlled conditions, and Armband and Actiheart in free-living conditions). Research sensors' data serves as reference during the evaluation and improvement of the proposed function.
This EE estimation function using the smartphone technology is dedicated to light- and moderate-intensity activities, and the investigators believe it can be a new way to help people controlling their daily physical activity level.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Controlled conditions | Experimental | Volunteers were asked to perform several activities such as walking at different paces, running, sitting, standing still or taking public transportation for about 1h30 They wore 3 research sensors that estimated energy expenditure: Fitmate, Armband and Actiheart. They also wore smartphones (in front pant pockets) that collected accelerometry data. |
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| Free-living conditions | Experimental | Volunteers were asked to wear sensors during about 12 hours, one day. They wore 2 research sensors that estimated energy expenditure: Armband and Actiheart. They also wore smartphones (in front pant pockets) that collected accelerometry data. |
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| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Controlled conditions | Behavioral | The 13 volunteers in controlled conditions performed each of the nine activities several times according to the activity scenario: sitting, slow, normal and brisk walking, climbing and descending stairs (eight floors), standing, slow running and taking public transportation (tramway). The duration of each activity varied from 2 to 20 minutes. |
| Measure | Description | Time Frame |
|---|---|---|
| Accelerometry | Measures acquired by smartphones including a tri-axial accelerometer | 1 day |
| Measure | Description | Time Frame |
|---|---|---|
| Energy expenditure | Sensor: Fitmate | 1 day |
| Energy expenditure | Sensor: Armband | 1 day |
| Measure | Description | Time Frame |
|---|---|---|
| Rest energy expenditure | Measurement of rest energy expenditure under canopy by Fitmate | 1 day |
| Rest energy expenditure | Measurement of rest energy expenditure by using Armband |
Inclusion Criteria:
Exclusion Criteria:
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| Name | Affiliation | Role |
|---|---|---|
| Martine Duclos, Physician | CHU G Montpied | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Centre de Recherche en Nutrition Humaine d'Auvergne | Clermont-Ferrand | 63000 | France |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 25141769 | Background | Rousset S, Fardet A, Lacomme P, Normand S, Montaurier C, Boirie Y, Morio B. Comparison of total energy expenditure assessed by two devices in controlled and free-living conditions. Eur J Sport Sci. 2015;15(5):391-9. doi: 10.1080/17461391.2014.949309. Epub 2014 Aug 21. | |
| 25048352 | Background | Guidoux R, Duclos M, Fleury G, Lacomme P, Lamaudiere N, Manenq PH, Paris L, Ren L, Rousset S. A smartphone-driven methodology for estimating physical activities and energy expenditure in free living conditions. J Biomed Inform. 2014 Dec;52:271-8. doi: 10.1016/j.jbi.2014.07.009. Epub 2014 Jul 15. |
| Label | URL |
|---|---|
| the site ActivCollector collects and processes accelerometry data sent by the smartphones, and then ActivCollector sends the EE and activity durations results to the smartphone's user | View source |
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| Free-living conditions | Behavioral | The spontaneous activities of 30 volunteers were recorded in the free-living conditions for a full day selected either during the week or the weekend. |
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| Energy expenditure | Sensor: Actiheart | 1 day |
| 1 day |
| Rest energy expenditure | Measurement of rest energy expenditure by using Actiheart | 1 day |
| ID | Term |
|---|---|
| D009765 | Obesity |
| D009043 | Motor Activity |
| ID | Term |
|---|---|
| D050177 | Overweight |
| D044343 | Overnutrition |
| D009748 | Nutrition Disorders |
| D009750 | Nutritional and Metabolic Diseases |
| D001835 | Body Weight |
| D012816 | Signs and Symptoms |
| D013568 | Pathological Conditions, Signs and Symptoms |
| D001519 | Behavior |
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