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How Accurate and Precise Can We Measure the Posture and the Energy Expenditure Component of Sedentary Behaviour with One Sensor?

Author

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  • Roman P. Kuster

    (Division of Physiotherapy, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, 141 83 Stockholm, Sweden
    IMES Institute of Mechanical Systems, School of Engineering, ZHAW Zurich University of Applied Sciences, 8401 Winterthur, Switzerland)

  • Wilhelmus J. A. Grooten

    (Division of Physiotherapy, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, 141 83 Stockholm, Sweden
    Women’s Health and Allied Health Professionals Theme, Medical Unit Occupational Therapy and Physiotherapy, Karolinska University Hospital, 171 77 Stockholm, Sweden)

  • Victoria Blom

    (Department of Physical Activity and Health, The Swedish School of Sport and Health Sciences, 114 86 Stockholm, Sweden
    Division of Insurance Medicine, Department of Clinical Neuroscience, Karolinska Institutet, 171 77 Stockholm, Sweden)

  • Daniel Baumgartner

    (IMES Institute of Mechanical Systems, School of Engineering, ZHAW Zurich University of Applied Sciences, 8401 Winterthur, Switzerland)

  • Maria Hagströmer

    (Division of Physiotherapy, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, 141 83 Stockholm, Sweden
    Academic Primary Health Care Center, Region Stockholm, 104 31 Stockholm, Sweden)

  • Örjan Ekblom

    (Department of Physical Activity and Health, The Swedish School of Sport and Health Sciences, 114 86 Stockholm, Sweden)

Abstract

Sedentary behaviour is an emergent public health topic, but there is still no method to simultaneously measure both components of sedentary behaviour—posture and energy expenditure—with one sensor. This study investigated the accuracy and precision of measuring sedentary time when combining the proprietary processing of a posture sensor (activPAL) with a new energy expenditure algorithm and the proprietary processing of a movement sensor (ActiGraph) with a published posture algorithm. One hundred office workers wore both sensors for an average of 7 days. The activPAL algorithm development used 38 and the subsequent independent method comparison 62 participants. The single sensor sedentary estimates were compared with Bland–Atman statistics to the Posture and Physical Activity Index, a combined measurement with both sensors. All single-sensor methods overestimated sedentary time. However, adding the algorithms reduced the overestimation from 129 to 21 (activPAL) and from 84 to 7 min a day (ActiGraph), with far narrower 95% limits of agreements. Thus, combining the proprietary data with the algorithms is an easy way to increase the accuracy and precision of the single sensor sedentary estimates and leads to sedentary estimates that are more precise at the individual level than those of the proprietary processing are at the group level.

Suggested Citation

  • Roman P. Kuster & Wilhelmus J. A. Grooten & Victoria Blom & Daniel Baumgartner & Maria Hagströmer & Örjan Ekblom, 2021. "How Accurate and Precise Can We Measure the Posture and the Energy Expenditure Component of Sedentary Behaviour with One Sensor?," IJERPH, MDPI, vol. 18(11), pages 1-13, May.
    • Handle: RePEc:gam:jijerp:v:18:y:2021:i:11:p:5782-:d:563836
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    References listed on IDEAS

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    1. Afshartous, David & Preston, Richard A., 2010. "Confidence intervals for dependent data: Equating non-overlap with statistical significance," Computational Statistics & Data Analysis, Elsevier, vol. 54(10), pages 2296-2305, October.
    2. Roman P. Kuster & Wilhelmus J. A. Grooten & Victoria Blom & Daniel Baumgartner & Maria Hagströmer & Örjan Ekblom, 2020. "Is Sitting Always Inactive and Standing Always Active? A Simultaneous Free-Living activPal and ActiGraph Analysis," IJERPH, MDPI, vol. 17(23), pages 1-14, November.
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    Cited by:

    1. Fiona Curran & Kieran P. Dowd & Casey L. Peiris & Hidde P. van der Ploeg & Mark S. Tremblay & Grainne O’Donoghue, 2022. "A Standardised Core Outcome Set for Measurement and Reporting Sedentary Behaviour Interventional Research: The CROSBI Consensus Study," IJERPH, MDPI, vol. 19(15), pages 1-15, August.

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