Department of Engineering and Environmental Sciences, Engineering Centre, Federal Rural University of Semi-arid Region, Mossoró 59625-900, RN, Brazil.
Associated Laboratory for Energy, Transports and Aeronautics, LAETA (PROA), Faculty of Engineering, University of Porto, 4200-465 Porto, Portugal.
Int J Environ Res Public Health. 2021 Oct 3;18(19):10419. doi: 10.3390/ijerph181910419.
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 ( = 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.
准确预测健康个体的能量需求有许多有用的应用。职业视角也被证明对改善工人的工效学、安全和健康非常有用。本工作提出了一种基于动作活动记录仪和个人特征的统计回归模型，以估计能量消耗，并使用参考标准方法对结果进行交叉验证。该模型是基于多任务协议数据的分层混合效应回归建模开发的。该测量方法结合了动作活动记录仪、间接测热法以及其他个人和生活方式信息，来自年龄在 29.8±5 岁之间的健康个体（=50）。结果表明，与运动、心率和人体成分的人体测量变量相关的变量对能量消耗估计有显著影响。总体而言，所提出的模型与间接测热法测量的能量消耗具有良好的一致性，并证明比国际代谢率评估指南中提出的方法具有更好的性能，证明了它是一种可靠的替代规范指南的方法。此外，还发现日常活动与能量消耗之间存在统计学上的显著关系，这使得进一步研究包括其他变量（即与研究对象生活方式相关的变量）成为可能。
