Modeling Energy Expenditure Estimation in Occupational Context by Actigraphy: A Multi Regression Mixed-Effects Model
| Autor: | Luiz Bueno da Silva, D. Bustos, Mário Vaz, Joana Guedes, Erivaldo Lopes de Souza, Andre Duarte Lucena |
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| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Mixed model
Adult Health Toxicology and Mutagenesis Context (language use) Occupational safety and health Article Young Adult Heart Rate Statistics energy expenditure Humans Estimation Public Health Environmental and Occupational Health Actigraphy Regression analysis Calorimetry Indirect Anthropometry Regression metabolic assessment occupational health Body Composition Medicine Psychology Energy Metabolism mixed-effects model |
| Zdroj: | International Journal of Environmental Research and Public Health, Vol 18, Iss 10419, p 10419 (2021) International Journal of Environmental Research and Public Health Volume 18 Issue 19 |
| ISSN: | 1661-7827 1660-4601 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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