Department of Human Nutrition, Foods, and Exercise, Human Integrative Physiology Laboratory, Virginia Tech, Blacksburg, VA, USA.
Graduate Program in Translational Biology, Medicine, and Health, Virginia Tech, Blacksburg, VA, USA.
Sci Rep. 2024 Jul 8;14(1):15754. doi: 10.1038/s41598-024-66767-7.
Variations in physical activity energy expenditure can make accurate prediction of total energy expenditure (TEE) challenging. The purpose of the present study was to determine the accuracy of available equations to predict TEE in individuals varying in physical activity (PA) levels. TEE was measured by DLW in 56 adults varying in PA levels which were monitored by accelerometry. Ten different models were used to predict TEE and their accuracy and precision were evaluated, considering the effect of sex and PA. The models generally underestimated the TEE in this population. An equation published by Plucker was the most accurate in predicting the TEE in our entire sample. The Pontzer and Vinken models were the most accurate for those with lower PA levels. Despite the levels of accuracy of some equations, there were sizable errors (low precision) at an individual level. Future studies are needed to develop and validate these equations.
体力活动能量消耗的变化使得准确预测总能量消耗(TEE)具有挑战性。本研究的目的是确定可用方程在预测体力活动(PA)水平不同的个体的 TEE 时的准确性。TEE 通过 DLW 在 56 名 PA 水平不同的成年人中进行测量,PA 水平由加速度计监测。使用十种不同的模型来预测 TEE,并考虑到性别和 PA 的影响来评估其准确性和精密度。这些模型通常低估了该人群的 TEE。Plucker 发表的方程在预测整个样本的 TEE 方面最准确。对于 PA 水平较低的人,Pontzer 和 Vinken 模型最准确。尽管某些方程的准确性水平很高,但在个体水平上仍存在较大误差(精度低)。需要进一步研究来开发和验证这些方程。