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Associations of Physical Behaviours and Behavioural Reallocations with Markers of Metabolic Health: A Compositional Data Analysis

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  • Gregory J. H. Biddle

    (Diabetes Research Centre, University of Leicester, Leicester LE5 4PW, UK
    NIHR Leicester Biomedical Research Centre, Leicester LE5 4PW, UK
    Health Sciences, University of Leicester, Leicester LE1 7RH, UK)

  • Charlotte L. Edwardson

    (Diabetes Research Centre, University of Leicester, Leicester LE5 4PW, UK
    NIHR Leicester Biomedical Research Centre, Leicester LE5 4PW, UK)

  • Joseph Henson

    (Diabetes Research Centre, University of Leicester, Leicester LE5 4PW, UK
    NIHR Leicester Biomedical Research Centre, Leicester LE5 4PW, UK)

  • Melanie J. Davies

    (Diabetes Research Centre, University of Leicester, Leicester LE5 4PW, UK
    NIHR Leicester Biomedical Research Centre, Leicester LE5 4PW, UK)

  • Kamlesh Khunti

    (Diabetes Research Centre, University of Leicester, Leicester LE5 4PW, UK
    Leicester Diabetes Centre, University Hospitals of Leicester, Leicester LE5 4PW, UK
    NIHR Collaborations for Leadership in Applied Health Research and Care (CLAHRC) East Midlands, Leicester LE5 4PW, UK)

  • Alex V. Rowlands

    (Diabetes Research Centre, University of Leicester, Leicester LE5 4PW, UK
    NIHR Leicester Biomedical Research Centre, Leicester LE5 4PW, UK)

  • Thomas Yates

    (Diabetes Research Centre, University of Leicester, Leicester LE5 4PW, UK
    NIHR Leicester Biomedical Research Centre, Leicester LE5 4PW, UK)

Abstract

Standard statistical modelling has shown that the reallocation of sitting time to either standing or stepping may be beneficial for metabolic health. However, this overlooks the inherent dependency of time spent in all behaviours. The aim is to examine the associations between physical behaviours and markers of metabolic health (fasting glucose, fasting insulin, 2-h glucose, 2-h insulin, Homeostasis Model Assessment of Insulin Sensitivity (HOMA-IS), Matsuda Insulin Sensitivity Index (Matsuda-ISI) while quantifying the associations of reallocating time from one physical behaviour to another using compositional analysis. Objectively measured physical behaviour data were analysed ( n = 435) using compositional analysis and compositional isotemporal substitutions to estimate the association of reallocating time from one behaviour to another in a population at high risk of type 2 diabetes mellitus (T2DM). Stepping time was associated with all markers of metabolic health relative to all other behaviours. Reallocating 30 min from sleep, sitting, or standing to stepping was associated with 5–6 fold lower 2-h glucose, 15–17 fold lower 2-h insulin, and higher insulin sensitivity (10–11 fold via HOMA-IS, 12–15 fold via Matsuda-ISI). Associations of reallocating time from any behaviour to stepping were maintained for 2-h glucose, 2-h insulin, and Matsuda-ISI after further adjusting for body mass index (BMI). Relocating time from stepping into sleep, sitting, or standing was associated with lower insulin sensitivity. Stepping time may be the most important behavioural composition when promoting improved metabolic health in adults at risk of T2DM.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jijerp:v:15:y:2018:i:10:p:2280-:d:176319
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    Citations

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    Cited by:

    1. Gregory J. H. Biddle & Joseph Henson & Stuart J. H. Biddle & Melanie J. Davies & Kamlesh Khunti & Alex V. Rowlands & Stephen Sutton & Thomas Yates & Charlotte L. Edwardson, 2021. "Modelling the Reallocation of Time Spent Sitting into Physical Activity: Isotemporal Substitution vs. Compositional Isotemporal Substitution," IJERPH, MDPI, vol. 18(12), pages 1-12, June.
    2. Rania A. Mekary & Eric L. Ding, 2019. "Isotemporal Substitution as the Gold Standard Model for Physical Activity Epidemiology: Why It Is the Most Appropriate for Activity Time Research," IJERPH, MDPI, vol. 16(5), pages 1-3, March.
    3. 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.
    4. Ilaria Pina & Amy E. Mendham & Simone A. Tomaz & Julia H. Goedecke & Lisa K. Micklesfield & Naomi E. Brooks & Iain J. Gallagher & Rachel Crockett & Paul Dudchenko & Angus M. Hunter, 2021. "Intensity Matters for Musculoskeletal Health: A Cross-Sectional Study on Movement Behaviors of Older Adults from High-Income Scottish and Low-Income South African Communities," IJERPH, MDPI, vol. 18(8), pages 1-18, April.
    5. Gregory J. H. Biddle & Charlotte L. Edwardson & Joseph Henson & Alex V. Rowlands & Thomas Yates, 2019. "Reply to Mekary, R.A.; Ding, E.L. Isotemporal Substitution as the Gold Standard Model for Physical Activity Epidemiology: Why It Is the Most Appropriate for Activity Time Research. Int. J. Environ. Re," IJERPH, MDPI, vol. 16(16), pages 1-3, August.
    6. Julie Vanderlinden & Gregory J. H. Biddle & Filip Boen & Jannique G. Z. van Uffelen, 2020. "Are Reallocations between Sedentary Behaviour and Physical Activity Associated with Better Sleep in Adults Aged 55+ Years? An Isotemporal Substitution Analysis," IJERPH, MDPI, vol. 17(24), pages 1-14, December.
    7. Mayara S. Bianchim & Melitta A. McNarry & Anne Holland & Narelle S. Cox & Julianna Dreger & Alan R. Barker & Craig A. Williams & Sarah Denford & Kelly A. Mackintosh, 2022. "A Compositional Analysis of Physical Activity, Sedentary Time, and Sleep and Associated Health Outcomes in Children and Adults with Cystic Fibrosis," IJERPH, MDPI, vol. 19(9), pages 1-15, April.

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