Abstract
Sedentary behavior and inactivity are behaviors that are associated with obesity. The aim of this study was to classify 109 adult participants of various BMI in different homogeneous clusters on the basis of time spent at four physical activity levels. The cluster analysis tree shows three distinct clusters. The clusters significantly differed in BMI, hip circumference, and time spent in sedentary and active behaviors. The largest difference between clusters dealt with sedentary time: higher in CL2 (13 normal weight and 33 overweight) than in CL1 (33 normal weight and 20 overweight) and CL3 (9 normal weight and 1 overweight). Overweight is also associated with brief time in light- or moderate-intensity activities. However, some normal-weight adults had the same sedentary pattern as obese individuals. Factors other than physical activity or sedentary time might be more directly involved in body weight excess.
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Acknowledgments
The authors wish to thank those people who volunteered to use the application, and Gail Wagman for proofreading this paper. S. Rousset acknowledges the support received from the French Embassy in Switzerland, the Agence Nationale de la Recherche of the French Government through the program “Investissements d’Avenir” (16-IDEX-0001 CAP 20-25).
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Rousset, S., Abele, D.C., Benoit, M., Zemni, R., Lacomme, P., Fleury, G. (2020). Spontaneous Physical Activity and Sedentary Patterns Analyzed in a General Population of Adults by the eMouve Application. In: Ahram, T., Taiar, R., Gremeaux-Bader, V., Aminian, K. (eds) Human Interaction, Emerging Technologies and Future Applications II. IHIET 2020. Advances in Intelligent Systems and Computing, vol 1152. Springer, Cham. https://doi.org/10.1007/978-3-030-44267-5_54
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DOI: https://doi.org/10.1007/978-3-030-44267-5_54
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