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24, chemin de Borde Rouge –Auzeville – CS52627
31326 Castanet Tolosan CEDEX - France

Dernière mise à jour : Mai 2018

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Human Nutrition Unit

Zone de texte éditable et éditée et rééditée



Email : contact
Tel : +33(0)4 73 62 46 79

Sylvie rousset

Today’s world is marked by the epidemics of chronic diseases. For example, overweight and obesity affect about 50% of the French population. Moreover, the overweight induces the development of chronic diseases such as type 2 diabetes, cardiovascular diseases and some cancers.

The involvement of lifestyles in the development and aggravation of chronic diseases is clearly established and the prevention and awareness actions represent major challenges of public health. The scientific consensus is that overweight and obesity are mainly determined by environmental and behavioral factors. Being overweight or obese results from a chronic energy imbalance.

The physical activity energy expenditure is a major component of the energy balance. Over time, human physical activity is progressively replaced by sedentary behaviors. Long sitting time results in low energy expenditure. Sedentary behaviors are associated with many technological changes in domestic, urban and professional environments. Today in France, only 37% of adults and 32% of elderly people (older than 65 years) achieve the national guidelines in physical activity favorable to health.

Food intake is the other major determinant of the weight management. In Western countries, food is abundant and diversified. Food products are either raw, processed or ultra-processed. In the last 50 years, the consumption of ultra-processed food has substantially increased. These food products meet hedonic and practicality needs, of course, but their overconsumption has been recently associated with metabolic disorders and chronic diseases.

Research Activities

The aim is to characterize lifestyles to understand their influence on anthropometric and metabolic parameters. To assess accurately the daily physical activities in free-living conditions, we have used the accelerometers integrated into the smartphones and we have conceived algorithms to rank the activities into four categories: immobility, light-, moderate- and vigorous intensity. From time spent in each of the four categories and from individual characteristics, energy expenditure is estimated. Food choice is described by the consumption frequency of different food categories. From consumed food category frequencies, an algorithm computes nutritional balance scores. Finally, emotional determinants of behaviors are assessed from the rating of main emotions. An algorithm has been designed to assess the emotional balance. All the data are collected by the WellBeNet application developed by INRA-UNH and downloaded from the Play Store. The data files are sent via Internet to the ActivCollector server for the algorithmic treatments. These novel connected tools allow studying remotely volunteer groups or cohorts lifestyles recorded in real life conditions for a low cost.


  • Rousset S, Guidoux R, Paris L, Farigon N, Boirie Y, Lacomme P, Phan R, Ren L, Saboul D & Duclos M. (2018). eMouveRecherche: the first scientific application to promote light-intensity activity for the prevention of chronic diseases. Biology, Engineering and Medicine 3, (1), 1-6, doi: 10.15761/BEM.1000133.
  • Rousset S, Guidoux R, Paris L, Farigon N, Miolanne M, Lahaye C, Duclos M, Boirie Y & Saboul D. (2017). A novel smartphone accelerometer application for low-intensity activity and energy expenditure estimations in overweight and obese adults. Journal of Medical Systems 41, (117), 1-10, doi: 10.1007/s10916-017-0763-y.
  • Guidoux R, Duclos M, Fleury G, Lacomme P, Lamaudière N, Saboul D, Ren L & Rousset S. (2017). The eMouveRecherche application competes with research devices to evaluate energy expenditure, physical activity and still time in free-living conditions. Journal of Biomedical Informatics 69, 128-124, doi: 10.1016/j.jbi.2017.04.005.
  • Cissoko J, Duclos M, Fardet A, Lacomme P, Paris L, Régnier F & Rousset S. (2017). La santé personnalisée : les objets connectés pour adopter de nouveaux comportements. Pratiques en Nutrition 50, 30-36, doi: 10.1016/j.pranut.2017.03.007.
  • Duclos M, Fleury G, Lacomme P, Phan R, Ren L & Rousset S. (2016). An acceleration vector variance based method for energy expenditure estimation in real-life environment with a Smartphone/Smartwatch integration. Expert Systems with Applications 63, 435-449, doi: 10.1016/j.eswa.2016.07.021.         
  • Paris L, Duclos M, Guidoux R & Rousset S . (2016). Evaluation of physical activity and energy expenditure in overweight and obese adults. International Journal of Exercise Medicine 2, (3), 1-6.

Curriculum Vitae

First Class Research Engineer
Research Manager (HDR), Clermont-Ferrand, 2006
Ph.D in Applied Biology, INA, Paris-Grignon, 1987
Agronomic engineering with specialisation in Agri-food activities (ENSAT), Toulouse, 1985

Sylvie Rousset is studying the relationships between lifestyles and health parameters. Since 2011, S Rousset has developed novel wereable tools based on the new technologies of information and communication to assess and study the eating habits and physical activity recorded in free-living conditions on parameters of body composition and/or blood assessment.