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Associations of Sensor-Derived Physical Behavior with Metabolic Health: A Compositional Analysis in the Record Multisensor Study

Author

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  • Isaac Debache

    (Institut Pluridisciplinaire Hubert Curien (IPHC), UMR 7178 Centre National de la Recherche Scientifique (CNRS), Université de Strasbourg, 67000 Strasbourg, France)

  • Audrey Bergouignan

    (Institut Pluridisciplinaire Hubert Curien (IPHC), UMR 7178 Centre National de la Recherche Scientifique (CNRS), Université de Strasbourg, 67000 Strasbourg, France
    Division of Endocrinology, Metabolism, and Diabetes and Anschutz Health and Wellness Center, School of Medicine, University of Colorado, Aurora, CO 80045, USA)

  • Basile Chaix

    (INSERM, Sorbonne Université, Institut Pierre Louis d’Epidémiologie et de Santé Publique, IPLESP, Nemesis team, F75012 Paris, France)

  • Emiel M Sneekes

    (Department of Rehabilitation Medicine, Erasmus MC, 3000 CA Rotterdam, The Netherlands)

  • Frédérique Thomas

    (Preventive and Clinical Investigation Center, 75116 Paris, France)

  • Cédric Sueur

    (Institut Pluridisciplinaire Hubert Curien (IPHC), UMR 7178 Centre National de la Recherche Scientifique (CNRS), Université de Strasbourg, 67000 Strasbourg, France
    Division of Endocrinology, Metabolism, and Diabetes and Anschutz Health and Wellness Center, School of Medicine, University of Colorado, Aurora, CO 80045, USA)

Abstract

Previous studies about the effects of physical activity and sedentary behaviors on health rarely recorded the exact body postures and movements, although they might be of metabolic relevance. Moreover, few studies treated the time budget of behaviors as compositions and little was done to characterize the distribution of durations of behavior sequences in relation with health. Data from the RECORD (Residential Environment and CORonary heart Disease) study of two combined VitaMove accelerometers worn at the trunk and upper leg for a week by 154 male and female adults (age = 50.6 ± 9.6 years, BMI = 25.8 ± 3.9 kg/m 2 ) were analyzed. Using both iso-temporal substitution and compositional analysis, we examined associations between five physical behaviors (lying, sitting, standing, low physical activity, moderate-to-vigorous activity) and seven health outcomes (fasting serum glucose, low- and high-density lipoprotein, and triglycerides levels, body mass index, and waist circumference). After adjustment for confounding variables, total standing time was positively associated with better lipid profile, and lying during the day with adiposity. No significant association was observed between breaking up moderate-to-vigorous physical activity and health. This study highlights the importance of refined categories of postures in research on physical activity and health, as well as the necessity for new tools to characterize the distribution of behavior sequence durations, considering both bouts and micro-sequences.

Suggested Citation

  • Isaac Debache & Audrey Bergouignan & Basile Chaix & Emiel M Sneekes & Frédérique Thomas & Cédric Sueur, 2019. "Associations of Sensor-Derived Physical Behavior with Metabolic Health: A Compositional Analysis in the Record Multisensor Study," IJERPH, MDPI, vol. 16(5), pages 1-15, March.
  • Handle: RePEc:gam:jijerp:v:16:y:2019:i:5:p:741-:d:210057
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    References listed on IDEAS

    as
    1. Chaix, Basile & Jouven, Xavier & Thomas, Frédérique & Leal, Cinira & Billaudeau, Nathalie & Bean, Kathy & Kestens, Yan & Jëgo, Bertrand & Pannier, Bruno & Danchin, Nicolas, 2011. "Why socially deprived populations have a faster resting heart rate: Impact of behaviour, life course anthropometry, and biology – the RECORD Cohort Study," Social Science & Medicine, Elsevier, vol. 73(10), pages 1543-1550.
    2. Gregory J. H. Biddle & Charlotte L. Edwardson & Joseph Henson & Melanie J. Davies & Kamlesh Khunti & Alex V. Rowlands & Thomas Yates, 2018. "Associations of Physical Behaviours and Behavioural Reallocations with Markers of Metabolic Health: A Compositional Data Analysis," IJERPH, MDPI, vol. 15(10), pages 1-14, October.
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