A Smartphone Application to Evaluate Energy Expenditure and Duration of Activities for Overweight and Obese People (eMouve3)

A Smartphone Application to Evaluate Energy Expenditure and Duration of Activities in Free-living Conditions for Overweight and Obese People (eMouve3)

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.

Study Overview

• Status: Completed
• Conditions: Obesity; Physical Activity
• Intervention / Treatment: Behavioral: Controlled conditions; Behavioral: Free-living conditions

Detailed Description

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.

• Study Type: Interventional
• Enrollment (Actual): 43
• Phase: Not Applicable

Contacts and Locations

Study Locations

• France
  • Clermont Ferrand, France, 63000
    • Centre de Récherche en Nutrition Humaine d'Auvergne

Participation Criteria

Eligibility Criteria

• Ages Eligible for Study: 18 years to 60 years (Adult)
• Accepts Healthy Volunteers: Yes
• Genders Eligible for Study: All

Description

Inclusion Criteria:

• men and women
• age: 18-60 years
• BMI between 28 and 42 kg/m²
• subject considered as healthy after clinical examination and medical questionnaire
• no pregnant women
• subject with normal rest electrocardiogram (validated by a cardiologist)
• certificate of non-indication against the practice of exercise stress testing delivered by a physician
• subject with normal blood pressure (<140/90 mm Hg) with or without medical treatment
• subject with no foot pad problem
• subject giving his/her written informed consent
• subject willing to comply with study procedures
• affiliated to National Health Insurance

Exclusion Criteria:

• respiratory failure or cardiovascular problem
• non-indication against the practice of exercise stress testing
• known cardiac decompensation or myocardial infarction
• surgery made less than 6 months before the study beginning
• pregnant women and nursing mother
• current infectious pathology
• abnormal electrocardiogram
• not affiliated to national health insurance people
• under legal guardianship
• refusal to sign informed consent
• refusal to be registered on the national volunteers data file
• currently participating or who having got 4500€ in this year before to have participated in another clinical trial

Study Plan

How is the study designed?

Design Details

• Primary Purpose: Basic Science
• Allocation: Randomized
• Interventional Model: Parallel Assignment
• Masking: None (Open Label)

Number of Arms

2

Arms and Interventions

Participant Group / Arm	Intervention / Treatment
Experimental: Controlled conditions; 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.	Behavioral: Controlled conditions; 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.
Experimental: Free-living conditions; 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.	Behavioral: Free-living conditions; 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.

What is the study measuring?

Primary Outcome Measures

Outcome Measure	Measure Description	Time Frame
Accelerometry	Measures acquired by smartphones including a tri-axial accelerometer	1 day

Secondary Outcome Measures

Outcome Measure	Measure Description	Time Frame
Energy expenditure	Sensor: Fitmate	1 day
Energy expenditure	Sensor: Armband	1 day
Energy expenditure	Sensor: Actiheart	1 day

Other Outcome Measures

Outcome Measure	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	1 day
Rest energy expenditure	Measurement of rest energy expenditure by using Actiheart	1 day

Collaborators and Investigators

• Sponsor: Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement
• Collaborators: Almerys
• Investigators: Principal Investigator: Martine Duclos, Physician, CHU G Montpied

Publications and helpful links

General Publications

• 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.
• 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.

Helpful Links

• 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

Study record dates

Study Major Dates

• Study Start: October 1, 2013
• Primary Completion (Actual): March 1, 2014
• Study Completion (Actual): August 1, 2014

Study Registration Dates

• First Submitted: September 26, 2014
• First Submitted That Met QC Criteria: January 22, 2015
• First Posted (Estimate): January 28, 2015

Study Record Updates

• Last Update Posted (Estimate): January 28, 2015
• Last Update Submitted That Met QC Criteria: January 22, 2015
• Last Verified: January 1, 2015

More Information

Terms related to this study

• Keywords: obesity; smartphone; energy expenditure; accelerometry; daily living physical activity; prediction algorithm
• Additional Relevant MeSH Terms: Body Weight; Overweight
• Other Study ID Numbers: AU1070; 2013-A01140-45 (Other Identifier: ANSM)