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Modeling Energy Expenditure Estimation in Occupational Context by Actigraphy: A Multi Regression Mixed-Effects Model.
Lucena, André; Guedes, Joana; Vaz, Mário; Silva, Luiz; Bustos, Denisse; Souza, Erivaldo.
Afiliação
  • Lucena A; Department of Engineering and Environmental Sciences, Engineering Centre, Federal Rural University of Semi-arid Region, Mossoró 59625-900, RN, Brazil.
  • Guedes J; Associated Laboratory for Energy, Transports and Aeronautics, LAETA (PROA), Faculty of Engineering, University of Porto, 4200-465 Porto, Portugal.
  • Vaz M; Associated Laboratory for Energy, Transports and Aeronautics, LAETA (PROA), Faculty of Engineering, University of Porto, 4200-465 Porto, Portugal.
  • Silva L; Department of Production Engineering, Federal University of Paraíba, João Pessoa 58051-970, PB, Brazil.
  • Bustos D; Associated Laboratory for Energy, Transports and Aeronautics, LAETA (PROA), Faculty of Engineering, University of Porto, 4200-465 Porto, Portugal.
  • Souza E; Department of Production Engineering, Federal University of Paraíba, João Pessoa 58051-970, PB, Brazil.
Int J Environ Res Public Health ; 18(19)2021 10 03.
Article em En | MEDLINE | ID: mdl-34639718
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.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Metabolismo Energético / Actigrafia Tipo de estudo: Health_economic_evaluation / Prognostic_studies Limite: Adult / Humans Idioma: En Revista: Int J Environ Res Public Health Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Brasil País de publicação: Suíça
Texto completo
Adicionar na Minha BVS
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Metabolismo Energético / Actigrafia Tipo de estudo: Health_economic_evaluation / Prognostic_studies Limite: Adult / Humans Idioma: En Revista: Int J Environ Res Public Health Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Brasil País de publicação: Suíça