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Modeling Energy Expenditure Estimation in Occupational Context by Actigraphy: A Multi Regression Mixed-Effects Model

Author

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  • André Lucena

    (Department of Engineering and Environmental Sciences, Engineering Centre, Federal Rural University of Semi-arid Region, Mossoró 59625-900, RN, Brazil)

  • Joana Guedes

    (Associated Laboratory for Energy, Transports and Aeronautics, LAETA (PROA), Faculty of Engineering, University of Porto, 4200-465 Porto, Portugal)

  • Mário Vaz

    (Associated Laboratory for Energy, Transports and Aeronautics, LAETA (PROA), Faculty of Engineering, University of Porto, 4200-465 Porto, Portugal)

  • Luiz Silva

    (Department of Production Engineering, Federal University of Paraíba, João Pessoa 58051-970, PB, Brazil)

  • Denisse Bustos

    (Associated Laboratory for Energy, Transports and Aeronautics, LAETA (PROA), Faculty of Engineering, University of Porto, 4200-465 Porto, Portugal)

  • Erivaldo Souza

    (Department of Production Engineering, Federal University of Paraíba, João Pessoa 58051-970, PB, Brazil)

Abstract

The accurate prediction of energy requirements for healthy individuals has many useful applications. The occupational perspective has also been proven to be of great utility for improving workers’ ergonomics, safety, and health. This work proposes a statistical regression model based on actigraphy and personal characteristics to estimate energy expenditure and cross-validate the results with reference standardized methods. The model was developed by hierarchical mixed-effects regression modeling based on the multitask protocol data. Measurements combined actigraphy, indirect calorimetry, and other personal and lifestyle information from healthy individuals ( n = 50) within the age of 29.8 ± 5 years old. Results showed a significant influence of the variables related to movements, heart rate and anthropometric variables of body composition for energy expenditure estimation. Overall, the proposed model showed good agreement with energy expenditure measured by indirect calorimetry and evidenced a better performance than the methods presented in the international guidelines for metabolic rate assessment proving to be a reliable alternative to normative guidelines. Furthermore, a statistically significant relationship was found between daily activity and energy expenditure, which raised the possibility of further studies including other variables, namely those related to the subject’s lifestyle.

Suggested Citation

  • André Lucena & Joana Guedes & Mário Vaz & Luiz Silva & Denisse Bustos & Erivaldo Souza, 2021. "Modeling Energy Expenditure Estimation in Occupational Context by Actigraphy: A Multi Regression Mixed-Effects Model," IJERPH, MDPI, vol. 18(19), pages 1-21, October.
    • Handle: RePEc:gam:jijerp:v:18:y:2021:i:19:p:10419-:d:649422
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    References listed on IDEAS

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    1. Stefanie Brighenti-Zogg & Jonas Mundwiler & Ulla Schüpbach & Thomas Dieterle & David Paul Wolfer & Jörg Daniel Leuppi & David Miedinger, 2016. "Physical Workload and Work Capacity across Occupational Groups," PLOS ONE, Public Library of Science, vol. 11(5), pages 1-17, May.
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